research paper seminar topics for computer science

Research Topics & Ideas: CompSci & IT

50+ Computer Science Research Topic Ideas To Fast-Track Your Project

Finding and choosing a strong research topic is the critical first step when it comes to crafting a high-quality dissertation, thesis or research project. If you’ve landed on this post, chances are you’re looking for a computer science-related research topic , but aren’t sure where to start. Here, we’ll explore a variety of CompSci & IT-related research ideas and topic thought-starters, including algorithms, AI, networking, database systems, UX, information security and software engineering.

NB – This is just the start…

The topic ideation and evaluation process has multiple steps . In this post, we’ll kickstart the process by sharing some research topic ideas within the CompSci domain. This is the starting point, but to develop a well-defined research topic, you’ll need to identify a clear and convincing research gap , along with a well-justified plan of action to fill that gap.

If you’re new to the oftentimes perplexing world of research, or if this is your first time undertaking a formal academic research project, be sure to check out our free dissertation mini-course. In it, we cover the process of writing a dissertation or thesis from start to end. Be sure to also sign up for our free webinar that explores how to find a high-quality research topic. 

Overview: CompSci Research Topics

• Algorithms & data structures
• Artificial intelligence ( AI )
• Computer networking
• Database systems
• Human-computer interaction
• Information security (IS)
• Software engineering
• Examples of CompSci dissertation & theses

Topics/Ideas: Algorithms & Data Structures

• An analysis of neural network algorithms’ accuracy for processing consumer purchase patterns
• A systematic review of the impact of graph algorithms on data analysis and discovery in social media network analysis
• An evaluation of machine learning algorithms used for recommender systems in streaming services
• A review of approximation algorithm approaches for solving NP-hard problems
• An analysis of parallel algorithms for high-performance computing of genomic data
• The influence of data structures on optimal algorithm design and performance in Fintech
• A Survey of algorithms applied in internet of things (IoT) systems in supply-chain management
• A comparison of streaming algorithm performance for the detection of elephant flows
• A systematic review and evaluation of machine learning algorithms used in facial pattern recognition
• Exploring the performance of a decision tree-based approach for optimizing stock purchase decisions
• Assessing the importance of complete and representative training datasets in Agricultural machine learning based decision making.
• A Comparison of Deep learning algorithms performance for structured and unstructured datasets with “rare cases”
• A systematic review of noise reduction best practices for machine learning algorithms in geoinformatics.
• Exploring the feasibility of applying information theory to feature extraction in retail datasets.
• Assessing the use case of neural network algorithms for image analysis in biodiversity assessment

Topics & Ideas: Artificial Intelligence (AI)

• Applying deep learning algorithms for speech recognition in speech-impaired children
• A review of the impact of artificial intelligence on decision-making processes in stock valuation
• An evaluation of reinforcement learning algorithms used in the production of video games
• An exploration of key developments in natural language processing and how they impacted the evolution of Chabots.
• An analysis of the ethical and social implications of artificial intelligence-based automated marking
• The influence of large-scale GIS datasets on artificial intelligence and machine learning developments
• An examination of the use of artificial intelligence in orthopaedic surgery
• The impact of explainable artificial intelligence (XAI) on transparency and trust in supply chain management
• An evaluation of the role of artificial intelligence in financial forecasting and risk management in cryptocurrency
• A meta-analysis of deep learning algorithm performance in predicting and cyber attacks in schools

Topics & Ideas: Networking

• An analysis of the impact of 5G technology on internet penetration in rural Tanzania
• Assessing the role of software-defined networking (SDN) in modern cloud-based computing
• A critical analysis of network security and privacy concerns associated with Industry 4.0 investment in healthcare.
• Exploring the influence of cloud computing on security risks in fintech.
• An examination of the use of network function virtualization (NFV) in telecom networks in Southern America
• Assessing the impact of edge computing on network architecture and design in IoT-based manufacturing
• An evaluation of the challenges and opportunities in 6G wireless network adoption
• The role of network congestion control algorithms in improving network performance on streaming platforms
• An analysis of network coding-based approaches for data security
• Assessing the impact of network topology on network performance and reliability in IoT-based workspaces

Topics & Ideas: Database Systems

• An analysis of big data management systems and technologies used in B2B marketing
• The impact of NoSQL databases on data management and analysis in smart cities
• An evaluation of the security and privacy concerns of cloud-based databases in financial organisations
• Exploring the role of data warehousing and business intelligence in global consultancies
• An analysis of the use of graph databases for data modelling and analysis in recommendation systems
• The influence of the Internet of Things (IoT) on database design and management in the retail grocery industry
• An examination of the challenges and opportunities of distributed databases in supply chain management
• Assessing the impact of data compression algorithms on database performance and scalability in cloud computing
• An evaluation of the use of in-memory databases for real-time data processing in patient monitoring
• Comparing the effects of database tuning and optimization approaches in improving database performance and efficiency in omnichannel retailing

Topics & Ideas: Human-Computer Interaction

• An analysis of the impact of mobile technology on human-computer interaction prevalence in adolescent men
• An exploration of how artificial intelligence is changing human-computer interaction patterns in children
• An evaluation of the usability and accessibility of web-based systems for CRM in the fast fashion retail sector
• Assessing the influence of virtual and augmented reality on consumer purchasing patterns
• An examination of the use of gesture-based interfaces in architecture
• Exploring the impact of ease of use in wearable technology on geriatric user
• Evaluating the ramifications of gamification in the Metaverse
• A systematic review of user experience (UX) design advances associated with Augmented Reality
• A comparison of natural language processing algorithms automation of customer response Comparing end-user perceptions of natural language processing algorithms for automated customer response
• Analysing the impact of voice-based interfaces on purchase practices in the fast food industry

Topics & Ideas: Information Security

• A bibliometric review of current trends in cryptography for secure communication
• An analysis of secure multi-party computation protocols and their applications in cloud-based computing
• An investigation of the security of blockchain technology in patient health record tracking
• A comparative study of symmetric and asymmetric encryption algorithms for instant text messaging
• A systematic review of secure data storage solutions used for cloud computing in the fintech industry
• An analysis of intrusion detection and prevention systems used in the healthcare sector
• Assessing security best practices for IoT devices in political offices
• An investigation into the role social media played in shifting regulations related to privacy and the protection of personal data
• A comparative study of digital signature schemes adoption in property transfers
• An assessment of the security of secure wireless communication systems used in tertiary institutions

Topics & Ideas: Software Engineering

• A study of agile software development methodologies and their impact on project success in pharmacology
• Investigating the impacts of software refactoring techniques and tools in blockchain-based developments
• A study of the impact of DevOps practices on software development and delivery in the healthcare sector
• An analysis of software architecture patterns and their impact on the maintainability and scalability of cloud-based offerings
• A study of the impact of artificial intelligence and machine learning on software engineering practices in the education sector
• An investigation of software testing techniques and methodologies for subscription-based offerings
• A review of software security practices and techniques for protecting against phishing attacks from social media
• An analysis of the impact of cloud computing on the rate of software development and deployment in the manufacturing sector
• Exploring the impact of software development outsourcing on project success in multinational contexts
• An investigation into the effect of poor software documentation on app success in the retail sector

CompSci & IT Dissertations/Theses

While the ideas we’ve presented above are a decent starting point for finding a CompSci-related research topic, they are fairly generic and non-specific. So, it helps to look at actual dissertations and theses to see how this all comes together.

Below, we’ve included a selection of research projects from various CompSci-related degree programs to help refine your thinking. These are actual dissertations and theses, written as part of Master’s and PhD-level programs, so they can provide some useful insight as to what a research topic looks like in practice.

• An array-based optimization framework for query processing and data analytics (Chen, 2021)
• Dynamic Object Partitioning and replication for cooperative cache (Asad, 2021)
• Embedding constructural documentation in unit tests (Nassif, 2019)
• PLASA | Programming Language for Synchronous Agents (Kilaru, 2019)
• Healthcare Data Authentication using Deep Neural Network (Sekar, 2020)
• Virtual Reality System for Planetary Surface Visualization and Analysis (Quach, 2019)
• Artificial neural networks to predict share prices on the Johannesburg stock exchange (Pyon, 2021)
• Predicting household poverty with machine learning methods: the case of Malawi (Chinyama, 2022)
• Investigating user experience and bias mitigation of the multi-modal retrieval of historical data (Singh, 2021)
• Detection of HTTPS malware traffic without decryption (Nyathi, 2022)
• Redefining privacy: case study of smart health applications (Al-Zyoud, 2019)
• A state-based approach to context modeling and computing (Yue, 2019)
• A Novel Cooperative Intrusion Detection System for Mobile Ad Hoc Networks (Solomon, 2019)
• HRSB-Tree for Spatio-Temporal Aggregates over Moving Regions (Paduri, 2019)

Looking at these titles, you can probably pick up that the research topics here are quite specific and narrowly-focused , compared to the generic ones presented earlier. This is an important thing to keep in mind as you develop your own research topic. That is to say, to create a top-notch research topic, you must be precise and target a specific context with specific variables of interest . In other words, you need to identify a clear, well-justified research gap.

Fast-Track Your Research Topic

If you’re still feeling a bit unsure about how to find a research topic for your Computer Science dissertation or research project, check out our Topic Kickstarter service.

You Might Also Like:

Investigating the impacts of software refactoring techniques and tools in blockchain-based developments.

Steps on getting this project topic

I want to work with this topic, am requesting materials to guide.

Information Technology -MSc program

It’s really interesting but how can I have access to the materials to guide me through my work?

That’s my problem also.

Investigating the impacts of software refactoring techniques and tools in blockchain-based developments is in my favour. May i get the proper material about that ?

BLOCKCHAIN TECHNOLOGY

I NEED TOPIC

Submit a Comment Cancel reply

Your email address will not be published. Required fields are marked *

Save my name, email, and website in this browser for the next time I comment.

• Print Friendly

700+ Seminar Topics for CSE (Computer Science) with ppt (2024)

Seminar Topics for Computer Science (CSE) with ppt and report (2024) : As technology is emerging day by day. new technologies are coming quickly. And Seminar topics for Computer Science are becoming must find for every student. There are lots of students in Computer Science and Engineering who need quick seminar topics for CSE with ppt and report.

Table of Contents

We understand the burden students are facing today. So we have made a huge collection of  Seminar Topics for CSE with ppt and report.

I hope you will save a lot of time with these  Seminar Topics for CSE with ppt.

 Seminar Topics for Computer Science with ppt and report (2024)

Technical seminar topics for cse with abstract.

3D Printing

3D Printing is the process to develop a 3D printed object with the help of additive processes. Here, there are three-dimensional objects created by a 3D printer using depositing materials as per the digital model available on the system.

4G Technology

4G Technology can be defined as the fourth generation communication system that let users use broadband type speed without any need for Wi-Fi. It is simply called an advanced level radio system that makes the system efficient and quicker. Over the years, it has become an important part of people’s lives globally.

5 Pen PC Technology

5 Pen PC Technology is simply a cluster of gadget that comes with a great sort of features. It includes a virtual keyboard, projector, personal ID key, a pen-shaped mobile phone, and a camera scanner. Using this technology, an crystal clear digital copy of handwritten details can be created.

Android is an operating system created mainly for smartphone and tablets. It is a brilliant technology that allows the users to perform a variety of functions like using GPS for checking traffic areas, etc. Android is the mastermind behind everything ranging from top tablets to 5G phones.

AppleTalk is a networking protocol used in Mac computer systems and devices for making communication. It was originally introduced in 1984 by Apple and get replaced by TCP/IP in 2009 with the release of macOS X v10.6.

Blackberry Technology

Blackberry Technology is an integrated e-mail system provided by the Blackberry company in their handheld devices. Here, there is a unique PIN provided to every phone for identifying the device. This technology can even get accessed in an offline area without any need for wireless service.

Bluejacking

Bluejacking is a technique used by hackers to send messages to a different user with the help of Bluetooth connection. The most common use of this technology is sending unwanted images, text messages or sounds to other Bluetooth equipment in the network range.

Blue-ray Disc

Blu-Ray is an high-definition disc format that let the users see images with extreme level depth, detail, and color. It was released in 2006 as a successor to DVD for improving the experience of the users. This type of discs streams data at 36 megabits per second that is much fast than a DVD.

Cloud Computing

Cloud computing is an advanced method for delivering resources by utilizing the internet. This technology has made it possible to access their resources by saving them to a remote database. It eliminates the burden to store files on an external device.

CAD/CAM is well-known software whose main motive is to simply the design and machining process. It is simply collaboration between computers and machines that make the job of the designers as well as manufacturers easier. It is created after decades of research and testing process.

Cryptography

Cryptography is simply a technique for transforming the basic text into unintelligible ones and vice-versa. This amazing process not only gives protection to the data from online theft but also utilized for the user authentication process. It is used commonly in banking and e-commerce industry in various countries globally.

CORBA (Common Object Request Broker Architecture) is a special architecture whose main job is explaining a unique mechanism for better distribution of objects over a certain network. It let them make communication with each other without any platform and language boundary. This specification created by Object Management Group.

Geographic Information System

GIS fully abbreviated as Geographic Information System is an approach that collects, operate, and analyze data in the framework. There are many types of data integrated by this system along with the spatial location. Apart from that, there is lots of information that further visualized with the help of maps and 3D scenes.

Cyber Crime

Cyber crime is a crime form where the computer is utilized as a weapon. It includes things like spamming, hacking, phishing, etc. On top of that, computers are used for stealing personal data of individuals in these types of crimes. Despite the advancement in technology, the frequency of cyber crimes is increasing every year.

Computer Forensics

Computer Forensics is a technique that involve investigation and analysis processes for collecting and saving important pieces of evidence from certain computing equipment. The main use of these data is to present a strong case in the court of law. This process is performed by Forensic Computer Analysts.

Data Warehousing

Data Warehousing is a technique for gathering and controlling data from a great sort of resources with a motive to give useful insights on the business. This technology is used for connecting and analyzing business data so that it gets available to the businesses within a short time.

Database Management System (DBMS)

Database Management System is a special application package whose main motive is defining, manipulating, and controlling data. Due to this process, the developers no longer need to frame programs to maintain data. There are many fourth-generation query languages available on the internet for better interaction in a database.

Direct Memory Access (DMA )

Direct Memory Access is a computing technique used for the transfer of data from RAM in a computer to a different area in the system without CPU processing. In simple words, its main duty is to transfer or get data to or from main memory so that memory operations become faster.

Digital Watermarking

Digital Watermarking is an extensive technique for embedding data into different types of digital forms. It includes audio, video, images, and other similar objects. The majority of digital devices can easily read and detect digital watermarks by validating the original content.

Domain Name System (DNS)

The Domain Name System (DNS) can simply be called phonebook that comes with the information of domain names location is stored for further translation into IP addresses. In simple words, it translates the domain names into IP addresses allowing browsers to load resources on the internet.

Distributed Systems

A distributed system can be called a cluster of computer systems that work in collaboration with each other to look like as a single entity to the end-user. All the computers in the system are connected through a distribution middleware. The main purpose of this system is sharing various resources to the users with a single network.

Nanoparticles

A nanoparticle is a material used for making computer hardware components with a motive to boost the density of solid-state memory. The complete process is performed by followed a process known with the name of nanotechnology. It let the memory consume low power along with reducing chances of failure.

SCADA is a computer technology used for collecting and checking real-time data. It is fully abbreviated as Supervisory Control and Data Acquisition. The main purpose of this application can be founded in the telecommunications, energy, gas refining, and transportation industry.

LAN WAN MAN

LAN (Local Area Network) is a cluster of network devices that are connected with each other in the same building. MAN (Metropolitan Area Network) performs the same job but covers a large area than LAN like a city or town. WAN (Wide Area Network) covers a bigger area than both LAN and MAN.

A black hole is a fascinating object that is located in outer space. They have a very dense nature and a pretty solid gravitational attraction that even light can’t grasp after coming closer to them. Its existence was predicted first by Albert Einstein in 1916.

Distributed denial-of-service attack (DDoS)

Distributed Denial of Service (DDoS) is a DOS attack that includes a variety of compromised systems. It is often related to the Trojan which is a common form of malware. It includes attackers who transmit data to enjoy vulnerabilities harming the business systems.

E-ball Technology

E-Ball is a sphere-shaped computer system that comes with all features of a traditional computer but has a very smaller size. It even comes with a large screen display along with mouse and keyboard. It is designed in such a way that portability gets a great boost.

Enterprise Resource Planning (ERP)

Enterprise Resource Planning is a business modular software that created for integration of major functional areas in the business processes of the company in a unified area. It comes with core software components that are known as modules targeting major areas in businesses that include production, finance, accounting, and many more.

Extreme Programming (EP)

Extreme Programming (XP) is a software development process whose main mission is creating top-quality software matching needs of clients. It is pretty useful where there are software requirements that change on a dynamic basis. Also, this methodology is used in areas where risks result from fixed time projects

Biometric Security System

Biometric Security is a well-known security system that mainly utilized for authenticating and giving access to the company for verification of a person’s characteristics instantly. It is one of the most powerful techniques used for identity verification in various countries globally.

Common Gateway Interface (CGI)

The Common Gateway Interface (CGI) is a detailed specification that shows the way a program interact with an HTTP server. It works as a middleware between external databases and WWW servers. There are particular information and formatting processes performed by CGI software for WWW servers.

Carbon Nano Technology

The carbon nanotechnology is a process to control atom assembly of molecules at certain dimensions. The main material used for this process is Carbon nanobeads.

Middleware Technologies

The middleware technologies are an application that used making a connection between network requests created by a client for back-end data requested by them. It is a very common software used in the software world in both complexes as well as existing programs.

Invisibility Cloaks

Invisibility Cloaks also known as a clocking device is a method for steering light waves near a material to make it look invisible. There is a great role played by the viewer’s eyes and the instrument used on the level of visibility.

Computer Peripheral

A computer peripheral is a device whose main job is adding information and instructions in the system for storing and then transferring the process data to the user or a device that comes under the system’s administration. Some common examples of a computer peripheral are a printer, scanner, mouse, and keyboard.

Mobile Number Portability (MNP)

Mobile Number Portability (MNP) is an advanced level technology using which the mobile phone subscribers can change their cellular operator without changing their number. It was launched in Singapore about two decades ago, but since then expanded to almost every country across the globe. The complete process to change operator is very customer-friendly and easier.

HTML fully abbreviated as Hypertext Markup Language is a computer language that is mainly used for creating paragraphs, headings, links, blockquotes, and sections in a web page or applications. However, it isn’t a programming language and doesn’t come with the desired features for developing dynamic functionality.

Technical Seminar Topics for  CSE

• IP Spoofing
• Mobile Phone Cloning
• Bluetooth Technology
• Mobile Computing
• Pill Camera
• Human Computer Interface
• Software Testing
• Data Mining
• Artificial Neural Network (ANN)
• Wireless Sensor Networks (WSN)
• Wireless Mesh Network
• Digital Light Processing
• Distributed Computing
• Night Vision Technology
• Wireless Application Protocol
• 4G Wireless System
• Artificial Eye
• Asynchronous Chips
• Graphics Processing Unit (GPU)
• Wireless Communication
• Agent Oriented Programming
• Autonomic Computing
• GSM (Global System for Mobile Communications)
• Interferometric Modulator (IMOD)
• Microsoft Surface
• Cryptography and Network Security
• 5G Technology
• FERROELECTRIC RAM (FRAM)
• Object Oriented Programming (OOP)
• Network Topology
• Project Loon
• Storage Area Network (SAN)
• Hybridoma Technology
• Ribonucleic Acid (RNA)
• Cryptocurrency
• Handheld Computers
• Specialized Structured Svms In Computer Vision
• Intel Centrino Mobile Technology
• Digital Audio Broadcasting
• Screenless Display
• Cloud Storage
• IP Telephony
• Microprocessor and Microcontrollers
• Strata Flash Memory
• Gaming Consoles
• The Qnx Real-Time Operating System
• High Performance DSP Architectures
• Tamper Resistance
• MiniDisc system
• XBOX 360 System
• Single Photo Emission Computerized Tomography (SPECT)
• Tactile Interfaces For Small Touch Screen
• Cooperative Linux
• Breaking the Memory Wall in MonetDB
• Synchronous Optical Networking
• Virtual Keyboard Typing
• Optical Networking and Dense Wavelength Division Multiplexing
• Driving Optical Network Evolution
• Low Energy Efficient Wireless Communication Network Design
• Hyper-Threading technology
• Money Pad The Future Wallet
• Remote Method Invocation (RMI)
• Goal-line technology
• Security And Privacy In Social Networks
• Yii Framework
• Digital Preservation
• Optical Storage Technology
• Nvidia Tesla Personal Supercomputer
• Dynamic Cache Management Technique
• Real-Time Task Scheduling
• Session Initiation Protocol (SIP)
• Conditional Access System
• Project Oxygen
• Big Data To Avoid Weather Related Flight Delays
• Operating Systems with Asynchronous Chips
• Predictive Analysis
• Sandbox (computer security)
• Network Address Translation
• Biometrics Based Authentication

Also See: 105+ Technical IEEE Seminar Topics for CSE

Best Seminar Topics for  CSE

• Google Chrome OS
• Google Glass
• Intrusion Detection Systems (IDS)
• Jini Technology
• LAMP Technology
• Mind Reading
• Meta Search Engine
• Nanotechnology
• Network Security
• Operating System
• Restful Web Services
• SDLC  (Software Development life cycle)
• Sixth Sense Technology
• Software Reuse
• Service Oriented Architecture (SOA)
• Steganography
• Search Engine Optimization(SEO)
• Tidal Energy
• UNIX Operating System
• Virtual Private Network (VP N)
• Voice over Internet Protocol (VoIP)
• Wearable Computing
• Holographic Memory
• Data Storage On Fingernail
• Green Computing
• Universal Serial Bus (USB)
• Computer Networks
• Agile Methodology
• Parts of a Computer
• Human Area Network Technology
• Smart Dustbins for Smart Cities
• Open Graphics Library (Open Gl)
• Elastic Quotas
• Java Server Pages Standard Tag Library (Jstl)
• Mobile Computing Framework
• Zenoss Core
• Smart Pixel Arrays
• Local Multipoint Distribution Service
• Nano Computing
• Quantum Cryptography
• Anonymous Communication
• NFC and Future
• Cluster Computing
• Fog Computing
• Intel Core I9 Processor
• Python Libraries for Data Science
• Google Project Loon
• 64-Bit Computing
• Holographic Versatile Disc (Hvd)
• Virtual Instrumentation
• 3G-vs-WiFi Interferometric Modulator (IMOD)
• Compositional Adaptation
• Wireless Networked Digital Devices
• Helium Drives
• Param 10000
• Palm Operating System
• Meteor Burst Communication
• Cyberterrorism
• Location-Aware Computing
• Programming Using Mono Software
• Utility Fog
• Terrestrial Trunked Radio
• Blockchain Technology
• Exterminator
• Internet Telephony Policy in INDIA
• Voice Portals
• The Callpaper Concept
• Google cloud computing (GCP)
• Web Scraping
• Edge Computing
• Compact peripheral component interconnect
• Health Technology
• Smart Card-Based Prepaid Electricity System
• Phase Change Memory – PCM
• Biometrics in SECURE e-transaction
• Wireless Chargers (Inductive charging)
• Bluetooth V2.1
• Virtual Surgery

Also See: 200+ Paper Presentation Topics For CSE

Seminar Topics for BCA, MSC (Computer Science) and M-Tech

• Genetic Engineering
• Grid Computing
• Optical Coherence Tomography
• Google Wave
• Wireless Fidelity(WiFi)
• Online Voting System
• Digital Jewellery
• Random Access Memory (RAM)
• Quantum Computing
• Digital Cinema
• Polymer Memory
• Rover Technology
• E-Paper Technology
• Image Processing
• Online/Internet Marketing
• Google App Engine
• Computer Virus
• Virus and Anti Viruses
• Artificial Intelligence (AI)
• Gi-Fi Technology
• Mobile Jammer
• X-MAX Technology
• Space Mouse
• Diamond Chip
• Linux Operating Systems
• Web Services on Mobile Platform
• Smart Memories
• Client Server Architecture
• Biometric Authentication Technology
• Smart Fabrics
• 3D Internet
• Bio-metrics
• Dual Core Processor
• Wireless Mark-up Language (WML)
• Transactional Memory
• Visible light communication
• MIND READING COMPUTER
• Eye Tracking Technology
• Confidential Data Storage and Deletion
• USB Microphone
• Pivothead video recording sunglasses
• Slammer Worm
• XML Encryption
• Compute Unified Device Architecture (CUDA)
• Integer Fast Fourier Transform
• Extensible Stylesheet Language
• Free Space Laser Communications
• AC Performance Of Nanoelectronics
• Graphical Password Authentication
• Infinite Dimensional Vector Space
• Near Field Communication(NFC)
• Holographic versetail disc
• Efficeon Processor
• Advanced Driver Assistance System (ADAS)
• Dynamic TCP Connection Elapsing
• Symbian Mobile Operating System
• Artificial Passenger
• RESTful Web Services
• Google Chrome Laptop or Chrome Book
• Focused Web Crawling for E-Learning Content
• Tango technology
• Distributed Interactive Virtual Environment
• Place Reminder
• Encrypted Hard Disks
• Bacterio-Rhodopsin Memory
• Zettabyte file System (ZFS)
• Generic Visual Perception Processor GVPP
• Teleportation
• Digital twin (DT)
• Apache Cassandra
• Microsoft Hololens
• Digital Currency
• Intrusion Tolerance
• Finger Reader
• DNA digital data storage
• Spatial computing
• Linux Kernel 2.6
• Packet Sniffers
• Personal Digital Assistant
• Dynamic TCP Connecting Elapsing
• Hyper Transport Technology
• Multi-Protocol Label Switching (MPLS)
• Natural Language Processing
• Self Defending Networks
• Optical Burst Switching
• Pervasive Computing

Top 10 Seminar topics for CSE

1. Embedded Systems

An embedded system can be called a combination of hardware and software that created for a particular function in a system. Some major locations of an embedded system are household appliances, medical devices, industrial machines, vending machines, mobile devices, and many more.

2. Digital Signature

A digital signature can be called an electronic signature used for guaranteeing the authenticity of a digital document. It is a very useful technique that mainly used for validating authenticity along with integrating certain software, a message or a document.

3. 3D Internet

3D Internet is a next level and advanced method where two powerful technologies- the Internet and 3D graphics are combined. The main purpose of this ultra-level technique is providing realistic 3D graphics with the help of internet. Also known as Virtual Worlds, this interactive and engaging system is used by top organizations like Microsoft, Cisco, IBM, etc.

4. Generations of Computer

The generations of computers are the advancement in technology that has resulted in creating lots of computer equipment over the years. There are five generations of computers that include vacuum tubes, transistors, microprocessors, artificial intelligence, and microprocessors.

5. Blue Eyes Technology

Blue Eyes is an advanced technology that created with a mission to develop computational machines with sensory powers. There is a non-obtrusive sensing technique used by this technology with the use of latest video cameras and microphones. In simple words, it is a machine that understands the requirements of users and what he/she needs to see.

6. History of Computers

Many people believe that computers arrived in the business world in the 19 th century, but the reality is the world computer first used in 1613. The earliest form of computers was the tally stick that was just an old memory used for writing numbers and messages. Since then, there are tons of revolutions that resulted in this business that results in the creation of present-day computers.

7. Nanomaterials

Nanomaterials are the chemical materials that are processed at a minimum dimension, i.e., 1-100nm. They are developed naturally and possess physical as well as chemical properties. These materials are used in a variety of industries are cosmetics, healthcare, and sports among others.

8. Search Engine

A search engine is an online software whose main purpose is searching a database having details regarding the query of the user. There is a complete list of results matching perfectly to the query provided by this software. Google is the best example of a search engine.

9. Firewall

Firewall is security equipment whose main aim is having an eye on the incoming and outgoing traffic in the network. Furthermore, it allows or block data packets according to rules set by the security. In a simple definition, we will say it is created for creating a bridge of internet network & incoming traffic with external sources like the internet.

10. DNA Computing

DNA Computing is a method of computations with the help of biological molecules. This technique doesn’t use basic silicon chips that are quite common in other computation processes. It was invented by American Computer scientist Leonard Adleman in 1994 and displayed the way molecules can be utilized for solving computational issues.

List of Latest Technologies in Computer Science

• Plan 9 Operating System
• FeTRAM: A New Idea to Replace Flash Memory
• Cloud drive
• PON Topologies
• Digital Scent Technology
• Integrated Services Digital Network (ISDN)
• Magnetoresistive Random Access Memory
• Cryptography Technology
• Sense-Response Applications
• Blade Servers
• Revolutions Per Minute, RPM
• Secure Shell
• Ovonic Unified Memory (OUM)
• Facebook Thrift
• Chameleon Chip
• Wiimote Whiteboard
• Scrum Methodology
• liquid cooling system
• Smart Client Application Development Using .Net
• Child Safety Wearable Device
• Tizen Operating System – One OS For Everything
• Surround Systems
• Trustworthy Computing
• Design and Analysis of Algoritms
• Digital Media Broadcasting
• Socks – Protocol (Proxy Server)
• Transient Stability Assessment Using Neural Networks
• Ubiquitous Computing
• Snapdragon Processors
• Datagram Congestion Control Protocol (Dccp)
• Graph Separators
• Facebook Digital Currency – Diem (Libra)
• Design And Implementation Of A Wireless Remote
• A Plan For No Spam
• Quantum machine learning
• Pivot Vector Space Approach in Audio-Video Mixing
• Image Guided Therapy (IGT)
• Distributed Operating Systems
• Orthogonal Frequency Division Multiplplexing
• Idma – The Future Of Wireless Technology
• Shingled Magnetic Recording
• Intel MMX Technology
• Data Scraping
• Itanium Processor
• Social Impacts Of Information Technology
• Digital Video Editing
• Wolfram Alpha
• Brain computer interface
• HelioSeal Technology
• JOOMLA and CMS
• Intelligent Cache System
• Structured Cabling
• Deep Learning
• Ethical Hacking on Hacktivism
• Data-Activated Replication Object Communications (DAROC)
• Strata flash Memory
• Controller Area Network (CAN bus)
• USB Type-C – USB 3.1

You are on Page 1

PAGE 1 || PAGE 2 || PAGE3 || PAGE4

It was all about Seminar Topics for CSE with ppt and report (2024). If you feel any problem regarding these seminar topics for computer science then feel free to ask us in the comment section below. Or if you liked it then please share it with your friends on facebook and other social media websites so that they can also take help from it.

108 Comments Already

please kindly assist me with a model on network for data hiding with encryption and steganographic algorithm for my research

Hello Danjuma, Data Hiding with encryption is called steganography. https://studymafia.org/steganography-seminar-ppt-with-pdf-report/ Go to this links and get it.

i need a ppt and documentation on secure atm by image processing topic plz send meon this email i thankful of u

Its Urgent Sir,I need Pollar pillow PPT and cicret bracelet PPT And Pdf….

hello sir /mam.. i want my seminar on topic hacking.all rhe information regarding this topic n d queries thar can arise from this topic…plz send me on my email id its urgent for me sir plzz

please am writing on gps tracking system i need help

Hello Zion https://studymafia.org/global-positioning-system-seminar-pdf-report-and-ppt/ Go to this link For GPS tracking system.

I need ppt and report for topic- “a watermarking method for digital speech self-recovery”. Please send

I need the report on the topic “low power DDR4 RAM ” can anyone help me with this…. plz share

I need a seminar report and ppt based on the topic, PRISM: fine grained resource aware scheduling for map reduce .

I need seminar report on salesforce technology.#ASAP

It is just an outdated topic Alok, Please move on to another topic, I am sorry but also this will not help you in your engineering.

sir i want ppt and report on DATA CROWDSOURCING

i need ppt report on mona secure multi -owner data sharing for dynamic groups in the cloud

I need the material on the role of social network in the society

I need the material on the impact of internet and associated problems in the society.

I need 5 seminar topics based on CSE that should be very easy and should be understandble to every one easily so plzz send me notification on my gmail…

Sir please send me latest seminar topics for computer science and engineering .I need 3 seminar topics based on cse that should be very easy and easy to understand to every one and also me,please sir send me ppt and documentation please sir don’t ignore me please sir because I give seminar on 09/07/2016 please sir understand, send ppts and documentations to my mail sir.I wait for your mail sir please sir don’t ignore me sir

if you got send for me sir

please i need material for ‘career in computer science for wealth presentation’

Go to this links https://studymafia.org/light-tree-seminar-report-with-ppt-and-pdf/

Thanks for the comment, I will upload your seminar soon here.

Hello Srinivas, here is your seminar of 5G Technology with ppt and pdf report that you requested. https://studymafia.org/5g-technology-ppt-and-pdf-seminar-report-free/ Go to this link

Hello Don, We do not provide any hacking ppt and report, but yes I can provide you Ethical hacking ppt and pdf report https://studymafia.org/ethical-hacking-seminar-ppt-with-pdf-report/ Go to this link

All These are related to computer science,still there are three more pages on it. https://studymafia.org/technical-ieee-seminar-topics-for-cse-with-ppt-and-pdf-report/ https://studymafia.org/latest-seminar-topics-for-cse/ https://studymafia.org/paper-presentation-topics-for-cse/ Go to these links.

Hello Azeez,Your seminar is on the website now 🙂 Have Fun 🙂

Go to these pages, https://studymafia.org/latest-seminar-topics-for-cse/ https://studymafia.org/paper-presentation-topics-for-cse/

Hello Roopa Go to this link https://studymafia.org/technical-ieee-seminar-topics-for-cse-with-ppt-and-pdf-report/

Hey Anuradha, I will provide you very soon, please give me some time.

Nice topic, Will upload soon.

It is live on the website 🙂

Hello Likitha, Please go to this link, it is on our website 🙂 https://studymafia.org/5g-technology-ppt-and-pdf-seminar-report-free/

all These are related to computer science,still there are three more pages on it. https://studymafia.org/technical-ieee-seminar-topics-for-cse-with-ppt-and-pdf-report/ https://studymafia.org/latest-seminar-topics-for-cse/ https://studymafia.org/paper-presentation-topics-for-cse/ – See more at: https://studymafia.org/seminar-topics-for-computer-science-with-ppt-and-report/#sthash.1kXifFkV.dpuf

Hello Doris, Computer science is a part of It world so all these seminars are related to IT World. Thanks

HELLO SIR CAN I GET SEMINAR TOPICS ON WEB DESIGN. THANKS

Hey Mimari, thanks for the comment, we got your request of web designing seminar, we will upload it soon 🙂

go to this link studymafia.org/li-fi-technology-seminar-ppt-with-pdf-report/

studymafia.org/blue-eyes-technology-seminar-ppt-with-pdf-report-2/

please kindly assist me with internet without ip address a new approach in computer architecture

sir i want to market servey report from ppt seminar

Hello Lakhan, I didn’t get your topic really.

Hello Divya Mam, go to this link studymafia.org/artificial-intelligence-ai-seminar-pdf-report-and-ppt/

Hello Sir..Can i have a seminar on google self driving car tech… including something related to cps.

hey can u upload a documentation on Cassandra.

please do i find to teach me how to write a complete program to solve the problem of simoutenous equation i mean the pseudocode the flowchart and a program using FORTRAN

hey can I have ppt and pdf on femtocell

sir !! i need seminar reports and ppts on following two topics, can i get them in urgent? please.. 1.Clouddrops 2.icloud 3.touchless touchscreen atleast reply me

I need seminar reports n ppt on following two topics 1. Augmented reality 2. Head maounted displays

go to this link https://studymafia.org/augmented-reality-seminar-and-ppt-with-pdf-report/

plsssssss provide plant leaf diesease identification system for android

Please provide ppt and report on “web mining algorithm using link analysis”

Please Mr Sumit Thakur i need project materials and software on Security Information System (for national civil defense) asap, please please please

It will be updated soon 🙂

go for google wave https://studymafia.org/google-wave-seminar-ppt-and-pdf-report/ or Search engine optimization https://studymafia.org/seo-seminar-ppt-with-pdf-report/

Thank you Mr.Sumit Thakur. I recently heard about Screenless displays. I think its not the latest one. What do you say?? if you have ppt and report of it mail me..

Hey….i want a ppt on deepweb and dark web urgntly with pdf report

I’ve been following your site for quite some time now and I must confess, you’re doing an amazing job here.

please I need three good project topic and possible materials on computer science.

GO to this link https://studymafia.org/firewall-seminar-report-with-ppt-and-pdf/

go to this link https://studymafia.org/firewall-seminar-report-with-ppt-and-pdf/

Hello Avni, Go to this link https://studymafia.org/computer-networks-seminar-pdf-report-ppt/

I need ppt and report on speed breakers and ditches

Hello Mr.Thakur I wanted ppt on data coloring. could you please provide it?

hello sir, I request a ppt and report for the topic “Millimeter wave wireless communications for IOT cloud supported autonomous vehicles:overview, design and challenges”

please send link to download seminar report and ppt for “understanding smartphone sensor and app data for enhancing security of secret questions”

Sir, pls i need ppt and report of “eye movement based human computer interaction” .its found in this site .. it’s very urgent

Go to this link https://studymafia.org/digital-signature-seminar-and-ppt-with-pdf-report/

Sir I need to Final Year IT Btech project report on website ‘Digital India Village Development’

sir plz provide me report on olap(online analytical processing)

Sir please i need a report for Interactive emotional lighting using physiological signals.

hello !!! please i am computer science student final year HERE is MY PROJECT TOPIC #ORTHOPAEDIC EXPERT SYSTEM i need a little knowledge about it someone help please

We are currently not working on projects.

Hello sir…i am a mca student..pls suggest me latest seminar topic and pls send me the seminar report on “Internet of BioNano things”.Send me on this email

Hello Jyo, I didn’t find anything related to your topic.

Hello Micheal, You seminar will be on our website soon.

Hello Pratyusha, Good topic, will be updated soon.

GO to this link https://studymafia.org/speech-recognition-seminar-ppt-and-pdf-report/

Hello Mam, Here are the links https://studymafia.org/4g-technology-seminar-and-ppt-with-pdf-report/ https://studymafia.org/5g-technology-ppt-and-pdf-seminar-report-free/

Will be updated soon

Sir,I want seminar report and PPT of the topic multi-touch interaction.

Hello sir!Could u please send me a ppt for am image based hair modeling and dynamic simulation method

I seriously need seminar topics for education in computer please I would be glad if my request is granted please send to my mail.

hello please i also need a topic about fog computing, IoT or Mikrotic please help me

hello Final Report for Foreign Students

We invite submissions of high quality and origin reports describing fully developed results or on-going foundational and applied work on the following topics of advanced algorithms in Natural Language Processing: in this topic ( Literature survey of short text similarity.) Reporting requirements: (1) Reports must not less 5 pages and exceed 8 pages, using IEEE two-column template. All papers should be in Adobe portable document format (PDF) format. Authors should submit their paper via electronic submission system. All papers selected for this conference are peer-reviewed and will be published in the regular conference proceedings by the IEEE Computer Society Press. Submissions must not be published or submitted for another conference. The best quality papers presented in the conference will be selected for journal special issues by creating an extended version. (2) No copy of any sentences from published papers. You may get zero score for some detected copy sentence.

please i need seminar paper on fog computing with go comparative study with full report

Hello Sir, Can you please help me out with presentation and report on the topic “Blind Aid Stick:Hurdle Recognition,Simulated Perception,Android Integrated Voice Based Cooperation via GPS Along with Panic Alert System”.

Hello,we have been ask to find research papers for certain topics regarding seminar presentation and then do comparative analysis.so please help with the topic “AI in control systems”.

Is there any topics related to routing. Please suggest me if there are.

hello sir please i need your help on a seminar topic Examination biometric verification case study of WAEC… thanks for understanding

Sir pls I need the ppt and report of review cash receipt generating system; challenges and merit

Hello sir please provide ppt and report on following two topics I get them in urgent please digital library mobile based network monitory system

please sir i need a ppt about modal logic in computer science

introduction of modal logic history of modal logic syntax of modal logic application of modal logic proof of modal logic

i need material on opportunities network and software defined network. please send as soon as possible. thank you sir

Please I need a full report on entrepredemic, please help me with it

I need a ppt on Expert Addmision System with flowchart.

please kindly help me with a proper write up on this seminar topic “I CLOUD”, Thank you for considering me.

Hello All my friends, I am not able to answer each your comment, so please come to our facebook fan page https://www.facebook.com/studymafia1/ where we can discuss your problems and can take new seminar request directly 🙂

sir , i need the ppt on topic:”Securing Mobile Healthcare Data: A Smart Card Based Cancelable Finger-Vein Bio-Cryptosystem” .

which is from ieee access ,and some links of videos to understand it .

plz replay me as soon as possible as im having the seminar with in this weak ,

Sir I need latest IEEE published papers seminar topics on any domain in cse

Sir! I need PPT and Documentation on this below Title. “Securing data with blockchain and Ai” So, please send me sir!

I want ppt and documentation on the topic CLOUD ROBOTICS

Sir could you please give me the PPT and Report for the topic Web Vulnerability Detection ,The Case of Cross-Site Request Forgery could u please help me send me the link where i can find ppt for this topic!!!

Hello Sir,thanks for the good work you’re doing.

Please I need seminar on “Security in Cloud Computing” thank you

U r doing a great work it helps most of the student. Sir I want Air cargo tracking system ppt and synopsis can u plz share the link where we can get ppt .

Thank you for your help, i really appreciate and acknowledge your effort. But am doing my own seminar on “Digital Currency Diffusion Policy in Nigeria” pls help. Thank you

Please I need something on Networking tools and Cable Management

I need ppt on blockchain

I want Q learning based teaching-learning optimization for distributed two stage hybrid flow shop scheduling with fuzzy processing time ppt with report for technical presentation please send me please I need it urgent pls

i need project report and presentation of ONLINE FOOD ORDERING SYSTEM.

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed .

• Write my thesis
• Thesis writers
• Buy thesis papers
• Bachelor thesis
• Master's thesis
• Thesis editing services
• Thesis proofreading services
• Buy a thesis online
• Write my dissertation
• Dissertation proposal help
• Pay for dissertation
• Custom dissertation
• Dissertation help online
• Buy dissertation online
• Cheap dissertation
• Dissertation editing services
• Write my research paper
• Buy research paper online
• Pay for research paper
• Research paper help
• Order research paper
• Custom research paper
• Cheap research paper
• Research papers for sale
• Thesis subjects
• How It Works

100 Great Computer Science Research Topics Ideas for 2023

Being a computer student in 2023 is not easy. Besides studying a constantly evolving subject, you have to come up with great computer science research topics at some point in your academic life. If you’re reading this article, you’re among many other students that have also come to this realization.

Interesting Computer Science Topics

Awesome research topics in computer science, hot topics in computer science, topics to publish a journal on computer science.

• Controversial Topics in Computer Science

Fun AP Computer Science Topics

Exciting computer science ph.d. topics, remarkable computer science research topics for undergraduates, incredible final year computer science project topics, advanced computer science topics, unique seminars topics for computer science, exceptional computer science masters thesis topics, outstanding computer science presentation topics.

• Key Computer Science Essay Topics

Main Project Topics for Computer Science

• We Can Help You with Computer Science Topics

Whether you’re earnestly searching for a topic or stumbled onto this article by accident, there is no doubt that every student needs excellent computer science-related topics for their paper. A good topic will not only give your essay or research a good direction but will also make it easy to come up with supporting points. Your topic should show all your strengths as well.

Fortunately, this article is for every student that finds it hard to generate a suitable computer science topic. The following 100+ topics will help give you some inspiration when creating your topics. Let’s get into it.

One of the best ways of making your research paper interesting is by coming up with relevant topics in computer science . Here are some topics that will make your paper immersive:

• Evolution of virtual reality
• What is green cloud computing
• Ways of creating a Hopefield neural network in C++
• Developments in graphic systems in computers
• The five principal fields in robotics
• Developments and applications of nanotechnology
• Differences between computer science and applied computing

Your next research topic in computer science shouldn’t be tough to find once you’ve read this section. If you’re looking for simple final year project topics in computer science, you can find some below.

• Applications of the blockchain technology in the banking industry
• Computational thinking and how it influences science
• Ways of terminating phishing
• Uses of artificial intelligence in cyber security
• Define the concepts of a smart city
• Applications of the Internet of Things
• Discuss the applications of the face detection application

Whenever a topic is described as “hot,” it means that it is a trendy topic in computer science. If computer science project topics for your final years are what you’re looking for, have a look at some below:

• Applications of the Metaverse in the world today
• Discuss the challenges of machine learning
• Advantages of artificial intelligence
• Applications of nanotechnology in the paints industry
• What is quantum computing?
• Discuss the languages of parallel computing
• What are the applications of computer-assisted studies?

Perhaps you’d like to write a paper that will get published in a journal. If you’re searching for the best project topics for computer science students that will stand out in a journal, check below:

• Developments in human-computer interaction
• Applications of computer science in medicine
• Developments in artificial intelligence in image processing
• Discuss cryptography and its applications
• Discuss methods of ransomware prevention
• Applications of Big Data in the banking industry
• Challenges of cloud storage services in 2023

 Controversial Topics in Computer Science

Some of the best computer science final year project topics are those that elicit debates or require you to take a stand. You can find such topics listed below for your inspiration:

• Can robots be too intelligent?
• Should the dark web be shut down?
• Should your data be sold to corporations?
• Will robots completely replace the human workforce one day?
• How safe is the Metaverse for children?
• Will artificial intelligence replace actors in Hollywood?
• Are social media platforms safe anymore?

Are you a computer science student looking for AP topics? You’re in luck because the following final year project topics for computer science are suitable for you.

• Standard browser core with CSS support
• Applications of the Gaussian method in C++ development in integrating functions
• Vital conditions of reducing risk through the Newton method
• How to reinforce machine learning algorithms.
• How do artificial neural networks function?
• Discuss the advancements in computer languages in machine learning
• Use of artificial intelligence in automated cars

When studying to get your doctorate in computer science, you need clear and relevant topics that generate the reader’s interest. Here are some Ph.D. topics in computer science you might consider:

• Developments in information technology
• Is machine learning detrimental to the human workforce?
• How to write an algorithm for deep learning
• What is the future of 5G in wireless networks
• Statistical data in Maths modules in Python
• Data retention automation from a website using API
• Application of modern programming languages

Looking for computer science topics for research is not easy for an undergraduate. Fortunately, these computer science project topics should make your research paper easy:

• Ways of using artificial intelligence in real estate
• Discuss reinforcement learning and its applications
• Uses of Big Data in science and medicine
• How to sort algorithms using Haskell
• How to create 3D configurations for a website
• Using inverse interpolation to solve non-linear equations
• Explain the similarities between the Internet of Things and artificial intelligence

Your dissertation paper is one of the most crucial papers you’ll ever do in your final year. That’s why selecting the best ethics in computer science topics is a crucial part of your paper. Here are some project topics for the computer science final year.

• How to incorporate numerical methods in programming
• Applications of blockchain technology in cloud storage
• How to come up with an automated attendance system
• Using dynamic libraries for site development
• How to create cubic splines
• Applications of artificial intelligence in the stock market
• Uses of quantum computing in financial modeling

Your instructor may want you to challenge yourself with an advanced science project. Thus, you may require computer science topics to learn and research. Here are some that may inspire you:

• Discuss the best cryptographic protocols
• Advancement of artificial intelligence used in smartphones
• Briefly discuss the types of security software available
• Application of liquid robots in 2023
• How to use quantum computers to solve decoherence problem
• macOS vs. Windows; discuss their similarities and differences
• Explain the steps taken in a cyber security audit

When searching for computer science topics for a seminar, make sure they are based on current research or events. Below are some of the latest research topics in computer science:

• How to reduce cyber-attacks in 2023
• Steps followed in creating a network
• Discuss the uses of data science
• Discuss ways in which social robots improve human interactions
• Differentiate between supervised and unsupervised machine learning
• Applications of robotics in space exploration
• The contrast between cyber-physical and sensor network systems

Are you looking for computer science thesis topics for your upcoming projects? The topics below are meant to help you write your best paper yet:

• Applications of computer science in sports
• Uses of computer technology in the electoral process
• Using Fibonacci to solve the functions maximum and their implementations
• Discuss the advantages of using open-source software
• Expound on the advancement of computer graphics
• Briefly discuss the uses of mesh generation in computational domains
• How much data is generated from the internet of things?

A computer science presentation requires a topic relevant to current events. Whether your paper is an assignment or a dissertation, you can find your final year computer science project topics below:

• Uses of adaptive learning in the financial industry
• Applications of transitive closure on graph
• Using RAD technology in developing software
• Discuss how to create maximum flow in the network
• How to design and implement functional mapping
• Using artificial intelligence in courier tracking and deliveries
• How to make an e-authentication system

 Key Computer Science Essay Topics

You may be pressed for time and require computer science master thesis topics that are easy. Below are some topics that fit this description:

• What are the uses of cloud computing in 2023
• Discuss the server-side web technologies
• Compare and contrast android and iOS
• How to come up with a face detection algorithm
• What is the future of NFTs
• How to create an artificial intelligence shopping system
• How to make a software piracy prevention algorithm

One major mistake students make when writing their papers is selecting topics unrelated to the study at hand. This, however, will not be an issue if you get topics related to computer science, such as the ones below:

• Using blockchain to create a supply chain management system
• How to protect a web app from malicious attacks
• Uses of distributed information processing systems
• Advancement of crowd communication software since COVID-19
• Uses of artificial intelligence in online casinos
• Discuss the pillars of math computations
• Discuss the ethical concerns arising from data mining

We Can Help You with Computer Science Topics, Essays, Thesis, and Research Papers

We hope that this list of computer science topics helps you out of your sticky situation. We do offer other topics in different subjects. Additionally, we also offer professional writing services tailor-made for you.

We understand what students go through when searching the internet for computer science research paper topics, and we know that many students don’t know how to write a research paper to perfection. However, you shouldn’t have to go through all this when we’re here to help.

Don’t waste any more time; get in touch with us today and get your paper done excellently.

Leave a Reply Cancel reply

• Privacy Policy

Buy Me a Coffee

Home » 500+ Computer Science Research Topics

500+ Computer Science Research Topics

Computer Science is a constantly evolving field that has transformed the world we live in today. With new technologies emerging every day, there are countless research opportunities in this field. Whether you are interested in artificial intelligence, machine learning, cybersecurity, data analytics, or computer networks, there are endless possibilities to explore. In this post, we will delve into some of the most interesting and important research topics in Computer Science. From the latest advancements in programming languages to the development of cutting-edge algorithms, we will explore the latest trends and innovations that are shaping the future of Computer Science. So, whether you are a student or a professional, read on to discover some of the most exciting research topics in this dynamic and rapidly expanding field.

Computer Science Research Topics

Computer Science Research Topics are as follows:

• Using machine learning to detect and prevent cyber attacks
• Developing algorithms for optimized resource allocation in cloud computing
• Investigating the use of blockchain technology for secure and decentralized data storage
• Developing intelligent chatbots for customer service
• Investigating the effectiveness of deep learning for natural language processing
• Developing algorithms for detecting and removing fake news from social media
• Investigating the impact of social media on mental health
• Developing algorithms for efficient image and video compression
• Investigating the use of big data analytics for predictive maintenance in manufacturing
• Developing algorithms for identifying and mitigating bias in machine learning models
• Investigating the ethical implications of autonomous vehicles
• Developing algorithms for detecting and preventing cyberbullying
• Investigating the use of machine learning for personalized medicine
• Developing algorithms for efficient and accurate speech recognition
• Investigating the impact of social media on political polarization
• Developing algorithms for sentiment analysis in social media data
• Investigating the use of virtual reality in education
• Developing algorithms for efficient data encryption and decryption
• Investigating the impact of technology on workplace productivity
• Developing algorithms for detecting and mitigating deepfakes
• Investigating the use of artificial intelligence in financial trading
• Developing algorithms for efficient database management
• Investigating the effectiveness of online learning platforms
• Developing algorithms for efficient and accurate facial recognition
• Investigating the use of machine learning for predicting weather patterns
• Developing algorithms for efficient and secure data transfer
• Investigating the impact of technology on social skills and communication
• Developing algorithms for efficient and accurate object recognition
• Investigating the use of machine learning for fraud detection in finance
• Developing algorithms for efficient and secure authentication systems
• Investigating the impact of technology on privacy and surveillance
• Developing algorithms for efficient and accurate handwriting recognition
• Investigating the use of machine learning for predicting stock prices
• Developing algorithms for efficient and secure biometric identification
• Investigating the impact of technology on mental health and well-being
• Developing algorithms for efficient and accurate language translation
• Investigating the use of machine learning for personalized advertising
• Developing algorithms for efficient and secure payment systems
• Investigating the impact of technology on the job market and automation
• Developing algorithms for efficient and accurate object tracking
• Investigating the use of machine learning for predicting disease outbreaks
• Developing algorithms for efficient and secure access control
• Investigating the impact of technology on human behavior and decision making
• Developing algorithms for efficient and accurate sound recognition
• Investigating the use of machine learning for predicting customer behavior
• Developing algorithms for efficient and secure data backup and recovery
• Investigating the impact of technology on education and learning outcomes
• Developing algorithms for efficient and accurate emotion recognition
• Investigating the use of machine learning for improving healthcare outcomes
• Developing algorithms for efficient and secure supply chain management
• Investigating the impact of technology on cultural and societal norms
• Developing algorithms for efficient and accurate gesture recognition
• Investigating the use of machine learning for predicting consumer demand
• Developing algorithms for efficient and secure cloud storage
• Investigating the impact of technology on environmental sustainability
• Developing algorithms for efficient and accurate voice recognition
• Investigating the use of machine learning for improving transportation systems
• Developing algorithms for efficient and secure mobile device management
• Investigating the impact of technology on social inequality and access to resources
• Machine learning for healthcare diagnosis and treatment
• Machine Learning for Cybersecurity
• Machine learning for personalized medicine
• Cybersecurity threats and defense strategies
• Big data analytics for business intelligence
• Blockchain technology and its applications
• Human-computer interaction in virtual reality environments
• Artificial intelligence for autonomous vehicles
• Natural language processing for chatbots
• Cloud computing and its impact on the IT industry
• Internet of Things (IoT) and smart homes
• Robotics and automation in manufacturing
• Augmented reality and its potential in education
• Data mining techniques for customer relationship management
• Computer vision for object recognition and tracking
• Quantum computing and its applications in cryptography
• Social media analytics and sentiment analysis
• Recommender systems for personalized content delivery
• Mobile computing and its impact on society
• Bioinformatics and genomic data analysis
• Deep learning for image and speech recognition
• Digital signal processing and audio processing algorithms
• Cloud storage and data security in the cloud
• Wearable technology and its impact on healthcare
• Computational linguistics for natural language understanding
• Cognitive computing for decision support systems
• Cyber-physical systems and their applications
• Edge computing and its impact on IoT
• Machine learning for fraud detection
• Cryptography and its role in secure communication
• Cybersecurity risks in the era of the Internet of Things
• Natural language generation for automated report writing
• 3D printing and its impact on manufacturing
• Virtual assistants and their applications in daily life
• Cloud-based gaming and its impact on the gaming industry
• Computer networks and their security issues
• Cyber forensics and its role in criminal investigations
• Machine learning for predictive maintenance in industrial settings
• Augmented reality for cultural heritage preservation
• Human-robot interaction and its applications
• Data visualization and its impact on decision-making
• Cybersecurity in financial systems and blockchain
• Computer graphics and animation techniques
• Biometrics and its role in secure authentication
• Cloud-based e-learning platforms and their impact on education
• Natural language processing for machine translation
• Machine learning for predictive maintenance in healthcare
• Cybersecurity and privacy issues in social media
• Computer vision for medical image analysis
• Natural language generation for content creation
• Cybersecurity challenges in cloud computing
• Human-robot collaboration in manufacturing
• Data mining for predicting customer churn
• Artificial intelligence for autonomous drones
• Cybersecurity risks in the healthcare industry
• Machine learning for speech synthesis
• Edge computing for low-latency applications
• Virtual reality for mental health therapy
• Quantum computing and its applications in finance
• Biomedical engineering and its applications
• Cybersecurity in autonomous systems
• Machine learning for predictive maintenance in transportation
• Computer vision for object detection in autonomous driving
• Augmented reality for industrial training and simulations
• Cloud-based cybersecurity solutions for small businesses
• Natural language processing for knowledge management
• Machine learning for personalized advertising
• Cybersecurity in the supply chain management
• Cybersecurity risks in the energy sector
• Computer vision for facial recognition
• Natural language processing for social media analysis
• Machine learning for sentiment analysis in customer reviews
• Explainable Artificial Intelligence
• Quantum Computing
• Blockchain Technology
• Human-Computer Interaction
• Natural Language Processing
• Cloud Computing
• Robotics and Automation
• Augmented Reality and Virtual Reality
• Cyber-Physical Systems
• Computational Neuroscience
• Big Data Analytics
• Computer Vision
• Cryptography and Network Security
• Internet of Things
• Computer Graphics and Visualization
• Artificial Intelligence for Game Design
• Computational Biology
• Social Network Analysis
• Bioinformatics
• Distributed Systems and Middleware
• Information Retrieval and Data Mining
• Computer Networks
• Mobile Computing and Wireless Networks
• Software Engineering
• Database Systems
• Parallel and Distributed Computing
• Human-Robot Interaction
• Intelligent Transportation Systems
• High-Performance Computing
• Cyber-Physical Security
• Deep Learning
• Sensor Networks
• Multi-Agent Systems
• Human-Centered Computing
• Wearable Computing
• Knowledge Representation and Reasoning
• Adaptive Systems
• Brain-Computer Interface
• Health Informatics
• Cognitive Computing
• Cybersecurity and Privacy
• Internet Security
• Cybercrime and Digital Forensics
• Cloud Security
• Cryptocurrencies and Digital Payments
• Machine Learning for Natural Language Generation
• Cognitive Robotics
• Neural Networks
• Semantic Web
• Image Processing
• Cyber Threat Intelligence
• Secure Mobile Computing
• Cybersecurity Education and Training
• Privacy Preserving Techniques
• Cyber-Physical Systems Security
• Virtualization and Containerization
• Machine Learning for Computer Vision
• Network Function Virtualization
• Cybersecurity Risk Management
• Information Security Governance
• Intrusion Detection and Prevention
• Biometric Authentication
• Machine Learning for Predictive Maintenance
• Security in Cloud-based Environments
• Cybersecurity for Industrial Control Systems
• Smart Grid Security
• Software Defined Networking
• Quantum Cryptography
• Security in the Internet of Things
• Natural language processing for sentiment analysis
• Blockchain technology for secure data sharing
• Developing efficient algorithms for big data analysis
• Cybersecurity for internet of things (IoT) devices
• Human-robot interaction for industrial automation
• Image recognition for autonomous vehicles
• Social media analytics for marketing strategy
• Quantum computing for solving complex problems
• Biometric authentication for secure access control
• Augmented reality for education and training
• Intelligent transportation systems for traffic management
• Predictive modeling for financial markets
• Cloud computing for scalable data storage and processing
• Virtual reality for therapy and mental health treatment
• Data visualization for business intelligence
• Recommender systems for personalized product recommendations
• Speech recognition for voice-controlled devices
• Mobile computing for real-time location-based services
• Neural networks for predicting user behavior
• Genetic algorithms for optimization problems
• Distributed computing for parallel processing
• Internet of things (IoT) for smart cities
• Wireless sensor networks for environmental monitoring
• Cloud-based gaming for high-performance gaming
• Social network analysis for identifying influencers
• Autonomous systems for agriculture
• Robotics for disaster response
• Data mining for customer segmentation
• Computer graphics for visual effects in movies and video games
• Virtual assistants for personalized customer service
• Natural language understanding for chatbots
• 3D printing for manufacturing prototypes
• Artificial intelligence for stock trading
• Machine learning for weather forecasting
• Biomedical engineering for prosthetics and implants
• Cybersecurity for financial institutions
• Machine learning for energy consumption optimization
• Computer vision for object tracking
• Natural language processing for document summarization
• Wearable technology for health and fitness monitoring
• Internet of things (IoT) for home automation
• Reinforcement learning for robotics control
• Big data analytics for customer insights
• Machine learning for supply chain optimization
• Natural language processing for legal document analysis
• Artificial intelligence for drug discovery
• Computer vision for object recognition in robotics
• Data mining for customer churn prediction
• Autonomous systems for space exploration
• Robotics for agriculture automation
• Machine learning for predicting earthquakes
• Natural language processing for sentiment analysis in customer reviews
• Big data analytics for predicting natural disasters
• Internet of things (IoT) for remote patient monitoring
• Blockchain technology for digital identity management
• Machine learning for predicting wildfire spread
• Computer vision for gesture recognition
• Natural language processing for automated translation
• Big data analytics for fraud detection in banking
• Internet of things (IoT) for smart homes
• Robotics for warehouse automation
• Machine learning for predicting air pollution
• Natural language processing for medical record analysis
• Augmented reality for architectural design
• Big data analytics for predicting traffic congestion
• Machine learning for predicting customer lifetime value
• Developing algorithms for efficient and accurate text recognition
• Natural Language Processing for Virtual Assistants
• Natural Language Processing for Sentiment Analysis in Social Media
• Explainable Artificial Intelligence (XAI) for Trust and Transparency
• Deep Learning for Image and Video Retrieval
• Edge Computing for Internet of Things (IoT) Applications
• Data Science for Social Media Analytics
• Cybersecurity for Critical Infrastructure Protection
• Natural Language Processing for Text Classification
• Quantum Computing for Optimization Problems
• Machine Learning for Personalized Health Monitoring
• Computer Vision for Autonomous Driving
• Blockchain Technology for Supply Chain Management
• Augmented Reality for Education and Training
• Natural Language Processing for Sentiment Analysis
• Machine Learning for Personalized Marketing
• Big Data Analytics for Financial Fraud Detection
• Cybersecurity for Cloud Security Assessment
• Artificial Intelligence for Natural Language Understanding
• Blockchain Technology for Decentralized Applications
• Virtual Reality for Cultural Heritage Preservation
• Natural Language Processing for Named Entity Recognition
• Machine Learning for Customer Churn Prediction
• Big Data Analytics for Social Network Analysis
• Cybersecurity for Intrusion Detection and Prevention
• Artificial Intelligence for Robotics and Automation
• Blockchain Technology for Digital Identity Management
• Virtual Reality for Rehabilitation and Therapy
• Natural Language Processing for Text Summarization
• Machine Learning for Credit Risk Assessment
• Big Data Analytics for Fraud Detection in Healthcare
• Cybersecurity for Internet Privacy Protection
• Artificial Intelligence for Game Design and Development
• Blockchain Technology for Decentralized Social Networks
• Virtual Reality for Marketing and Advertising
• Natural Language Processing for Opinion Mining
• Machine Learning for Anomaly Detection
• Big Data Analytics for Predictive Maintenance in Transportation
• Cybersecurity for Network Security Management
• Artificial Intelligence for Personalized News and Content Delivery
• Blockchain Technology for Cryptocurrency Mining
• Virtual Reality for Architectural Design and Visualization
• Natural Language Processing for Machine Translation
• Machine Learning for Automated Image Captioning
• Big Data Analytics for Stock Market Prediction
• Cybersecurity for Biometric Authentication Systems
• Artificial Intelligence for Human-Robot Interaction
• Blockchain Technology for Smart Grids
• Virtual Reality for Sports Training and Simulation
• Natural Language Processing for Question Answering Systems
• Machine Learning for Sentiment Analysis in Customer Feedback
• Big Data Analytics for Predictive Maintenance in Manufacturing
• Cybersecurity for Cloud-Based Systems
• Artificial Intelligence for Automated Journalism
• Blockchain Technology for Intellectual Property Management
• Virtual Reality for Therapy and Rehabilitation
• Natural Language Processing for Language Generation
• Machine Learning for Customer Lifetime Value Prediction
• Big Data Analytics for Predictive Maintenance in Energy Systems
• Cybersecurity for Secure Mobile Communication
• Artificial Intelligence for Emotion Recognition
• Blockchain Technology for Digital Asset Trading
• Virtual Reality for Automotive Design and Visualization
• Natural Language Processing for Semantic Web
• Machine Learning for Fraud Detection in Financial Transactions
• Big Data Analytics for Social Media Monitoring
• Cybersecurity for Cloud Storage and Sharing
• Artificial Intelligence for Personalized Education
• Blockchain Technology for Secure Online Voting Systems
• Virtual Reality for Cultural Tourism
• Natural Language Processing for Chatbot Communication
• Machine Learning for Medical Diagnosis and Treatment
• Big Data Analytics for Environmental Monitoring and Management.
• Cybersecurity for Cloud Computing Environments
• Virtual Reality for Training and Simulation
• Big Data Analytics for Sports Performance Analysis
• Cybersecurity for Internet of Things (IoT) Devices
• Artificial Intelligence for Traffic Management and Control
• Blockchain Technology for Smart Contracts
• Natural Language Processing for Document Summarization
• Machine Learning for Image and Video Recognition
• Blockchain Technology for Digital Asset Management
• Virtual Reality for Entertainment and Gaming
• Natural Language Processing for Opinion Mining in Online Reviews
• Machine Learning for Customer Relationship Management
• Big Data Analytics for Environmental Monitoring and Management
• Cybersecurity for Network Traffic Analysis and Monitoring
• Artificial Intelligence for Natural Language Generation
• Blockchain Technology for Supply Chain Transparency and Traceability
• Virtual Reality for Design and Visualization
• Natural Language Processing for Speech Recognition
• Machine Learning for Recommendation Systems
• Big Data Analytics for Customer Segmentation and Targeting
• Cybersecurity for Biometric Authentication
• Artificial Intelligence for Human-Computer Interaction
• Blockchain Technology for Decentralized Finance (DeFi)
• Virtual Reality for Tourism and Cultural Heritage
• Machine Learning for Cybersecurity Threat Detection and Prevention
• Big Data Analytics for Healthcare Cost Reduction
• Cybersecurity for Data Privacy and Protection
• Artificial Intelligence for Autonomous Vehicles
• Blockchain Technology for Cryptocurrency and Blockchain Security
• Virtual Reality for Real Estate Visualization
• Natural Language Processing for Question Answering
• Big Data Analytics for Financial Markets Prediction
• Cybersecurity for Cloud-Based Machine Learning Systems
• Artificial Intelligence for Personalized Advertising
• Blockchain Technology for Digital Identity Verification
• Virtual Reality for Cultural and Language Learning
• Natural Language Processing for Semantic Analysis
• Machine Learning for Business Forecasting
• Big Data Analytics for Social Media Marketing
• Artificial Intelligence for Content Generation
• Blockchain Technology for Smart Cities
• Virtual Reality for Historical Reconstruction
• Natural Language Processing for Knowledge Graph Construction
• Machine Learning for Speech Synthesis
• Big Data Analytics for Traffic Optimization
• Artificial Intelligence for Social Robotics
• Blockchain Technology for Healthcare Data Management
• Virtual Reality for Disaster Preparedness and Response
• Natural Language Processing for Multilingual Communication
• Machine Learning for Emotion Recognition
• Big Data Analytics for Human Resources Management
• Cybersecurity for Mobile App Security
• Artificial Intelligence for Financial Planning and Investment
• Blockchain Technology for Energy Management
• Virtual Reality for Cultural Preservation and Heritage.
• Big Data Analytics for Healthcare Management
• Cybersecurity in the Internet of Things (IoT)
• Artificial Intelligence for Predictive Maintenance
• Computational Biology for Drug Discovery
• Virtual Reality for Mental Health Treatment
• Machine Learning for Sentiment Analysis in Social Media
• Human-Computer Interaction for User Experience Design
• Cloud Computing for Disaster Recovery
• Quantum Computing for Cryptography
• Intelligent Transportation Systems for Smart Cities
• Cybersecurity for Autonomous Vehicles
• Artificial Intelligence for Fraud Detection in Financial Systems
• Social Network Analysis for Marketing Campaigns
• Cloud Computing for Video Game Streaming
• Machine Learning for Speech Recognition
• Augmented Reality for Architecture and Design
• Natural Language Processing for Customer Service Chatbots
• Machine Learning for Climate Change Prediction
• Big Data Analytics for Social Sciences
• Artificial Intelligence for Energy Management
• Virtual Reality for Tourism and Travel
• Cybersecurity for Smart Grids
• Machine Learning for Image Recognition
• Augmented Reality for Sports Training
• Natural Language Processing for Content Creation
• Cloud Computing for High-Performance Computing
• Artificial Intelligence for Personalized Medicine
• Virtual Reality for Architecture and Design
• Augmented Reality for Product Visualization
• Natural Language Processing for Language Translation
• Cybersecurity for Cloud Computing
• Artificial Intelligence for Supply Chain Optimization
• Blockchain Technology for Digital Voting Systems
• Virtual Reality for Job Training
• Augmented Reality for Retail Shopping
• Natural Language Processing for Sentiment Analysis in Customer Feedback
• Cloud Computing for Mobile Application Development
• Artificial Intelligence for Cybersecurity Threat Detection
• Blockchain Technology for Intellectual Property Protection
• Virtual Reality for Music Education
• Machine Learning for Financial Forecasting
• Augmented Reality for Medical Education
• Natural Language Processing for News Summarization
• Cybersecurity for Healthcare Data Protection
• Artificial Intelligence for Autonomous Robots
• Virtual Reality for Fitness and Health
• Machine Learning for Natural Language Understanding
• Augmented Reality for Museum Exhibits
• Natural Language Processing for Chatbot Personality Development
• Cloud Computing for Website Performance Optimization
• Artificial Intelligence for E-commerce Recommendation Systems
• Blockchain Technology for Supply Chain Traceability
• Virtual Reality for Military Training
• Augmented Reality for Advertising
• Natural Language Processing for Chatbot Conversation Management
• Cybersecurity for Cloud-Based Services
• Artificial Intelligence for Agricultural Management
• Blockchain Technology for Food Safety Assurance
• Virtual Reality for Historical Reenactments
• Machine Learning for Cybersecurity Incident Response.
• Secure Multiparty Computation
• Federated Learning
• Internet of Things Security
• Blockchain Scalability
• Quantum Computing Algorithms
• Explainable AI
• Data Privacy in the Age of Big Data
• Adversarial Machine Learning
• Deep Reinforcement Learning
• Online Learning and Streaming Algorithms
• Graph Neural Networks
• Automated Debugging and Fault Localization
• Mobile Application Development
• Software Engineering for Cloud Computing
• Cryptocurrency Security
• Edge Computing for Real-Time Applications
• Natural Language Generation
• Virtual and Augmented Reality
• Computational Biology and Bioinformatics
• Internet of Things Applications
• Robotics and Autonomous Systems
• Explainable Robotics
• 3D Printing and Additive Manufacturing
• Distributed Systems
• Parallel Computing
• Data Center Networking
• Data Mining and Knowledge Discovery
• Information Retrieval and Search Engines
• Network Security and Privacy
• Cloud Computing Security
• Data Analytics for Business Intelligence
• Neural Networks and Deep Learning
• Reinforcement Learning for Robotics
• Automated Planning and Scheduling
• Evolutionary Computation and Genetic Algorithms
• Formal Methods for Software Engineering
• Computational Complexity Theory
• Bio-inspired Computing
• Computer Vision for Object Recognition
• Automated Reasoning and Theorem Proving
• Natural Language Understanding
• Machine Learning for Healthcare
• Scalable Distributed Systems
• Sensor Networks and Internet of Things
• Smart Grids and Energy Systems
• Software Testing and Verification
• Web Application Security
• Wireless and Mobile Networks
• Computer Architecture and Hardware Design
• Digital Signal Processing
• Game Theory and Mechanism Design
• Multi-agent Systems
• Evolutionary Robotics
• Quantum Machine Learning
• Computational Social Science
• Explainable Recommender Systems.
• Artificial Intelligence and its applications
• Cloud computing and its benefits
• Cybersecurity threats and solutions
• Internet of Things and its impact on society
• Virtual and Augmented Reality and its uses
• Blockchain Technology and its potential in various industries
• Web Development and Design
• Digital Marketing and its effectiveness
• Big Data and Analytics
• Software Development Life Cycle
• Gaming Development and its growth
• Network Administration and Maintenance
• Machine Learning and its uses
• Data Warehousing and Mining
• Computer Architecture and Design
• Computer Graphics and Animation
• Quantum Computing and its potential
• Data Structures and Algorithms
• Computer Vision and Image Processing
• Robotics and its applications
• Operating Systems and its functions
• Information Theory and Coding
• Compiler Design and Optimization
• Computer Forensics and Cyber Crime Investigation
• Distributed Computing and its significance
• Artificial Neural Networks and Deep Learning
• Cloud Storage and Backup
• Programming Languages and their significance
• Computer Simulation and Modeling
• Computer Networks and its types
• Information Security and its types
• Computer-based Training and eLearning
• Medical Imaging and its uses
• Social Media Analysis and its applications
• Human Resource Information Systems
• Computer-Aided Design and Manufacturing
• Multimedia Systems and Applications
• Geographic Information Systems and its uses
• Computer-Assisted Language Learning
• Mobile Device Management and Security
• Data Compression and its types
• Knowledge Management Systems
• Text Mining and its uses
• Cyber Warfare and its consequences
• Wireless Networks and its advantages
• Computer Ethics and its importance
• Computational Linguistics and its applications
• Autonomous Systems and Robotics
• Information Visualization and its importance
• Geographic Information Retrieval and Mapping
• Business Intelligence and its benefits
• Digital Libraries and their significance
• Artificial Life and Evolutionary Computation
• Computer Music and its types
• Virtual Teams and Collaboration
• Computer Games and Learning
• Semantic Web and its applications
• Electronic Commerce and its advantages
• Multimedia Databases and their significance
• Computer Science Education and its importance
• Computer-Assisted Translation and Interpretation
• Ambient Intelligence and Smart Homes
• Autonomous Agents and Multi-Agent Systems.

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

You may also like

200+ Funny Research Topics

500+ Sports Research Topics

300+ American History Research Paper Topics

500+ Cyber Security Research Topics

500+ Environmental Research Topics

500+ Economics Research Topics

For enquiries call:

+1-469-442-0620

• Programming

Latest Computer Science Research Topics for 2024

Home Blog Programming Latest Computer Science Research Topics for 2024

Everybody sees a dream—aspiring to become a doctor, astronaut, or anything that fits your imagination. If you were someone who had a keen interest in looking for answers and knowing the “why” behind things, you might be a good fit for research. Further, if this interest revolved around computers and tech, you would be an excellent computer researcher!

As a tech enthusiast, you must know how technology is making our life easy and comfortable. With a single click, Google can get you answers to your silliest query or let you know the best restaurants around you. Do you know what generates that answer? Want to learn about the science going on behind these gadgets and the internet?

For this, you will have to do a bit of research. Here we will learn about top computer science thesis topics and computer science thesis ideas.

Why is Research in Computer Science Important?

Computers and technology are becoming an integral part of our lives. We are dependent on them for most of our work. With the changing lifestyle and needs of the people, continuous research in this sector is required to ease human work. However, you need to be a certified researcher to contribute to the field of computers. You can check out Advance Computer Programming certification to learn and advance in the versatile language and get hands-on experience with all the topics of C# application development.

1. Innovation in Technology

Research in computer science contributes to technological advancement and innovations. We end up discovering new things and introducing them to the world. Through research, scientists and engineers can create new hardware, software, and algorithms that improve the functionality, performance, and usability of computers and other digital devices.

2. Problem-Solving Capabilities

From disease outbreaks to climate change, solving complex problems requires the use of advanced computer models and algorithms. Computer science research enables scholars to create methods and tools that can help in resolving these challenging issues in a blink of an eye.

3. Enhancing Human Life

Computer science research has the potential to significantly enhance human life in a variety of ways. For instance, researchers can produce educational software that enhances student learning or new healthcare technology that improves clinical results. If you wish to do Ph.D., these can become interesting computer science research topics for a PhD.

4. Security Assurance

As more sensitive data is being transmitted and kept online, security is our main concern. Computer science research is crucial for creating new security systems and tactics that defend against online threats.

Top Computer Science Research Topics

Before starting with the research, knowing the trendy research paper ideas for computer science exploration is important. It is not so easy to get your hands on the best research topics for computer science; spend some time and read about the following mind-boggling ideas before selecting one.

1. Integrated Blockchain and Edge Computing Systems: A Survey, Some Research Issues, and Challenges

Welcome to the era of seamless connectivity and unparalleled efficiency! Blockchain and edge computing are two cutting-edge technologies that have the potential to revolutionize numerous sectors. Blockchain is a distributed ledger technology that is decentralized and offers a safe and transparent method of storing and transferring data.

As a young researcher, you can pave the way for a more secure, efficient, and scalable architecture that integrates blockchain and edge computing systems. So, let's roll up our sleeves and get ready to push the boundaries of technology with this exciting innovation!

Blockchain helps to reduce latency and boost speed. Edge computing, on the other hand, entails processing data close to the generation source, such as sensors and IoT devices. Integrating edge computing with blockchain technologies can help to achieve safer, more effective, and scalable architecture.

Moreover, this research title for computer science might open doors of opportunities for you in the financial sector.

2. A Survey on Edge Computing Systems and Tools

With the rise in population, the data is multiplying by manifolds each day. It's high time we find efficient technology to store it. However, more research is required for the same.

Say hello to the future of computing with edge computing! The edge computing system can store vast amounts of data to retrieve in the future. It also provides fast access to information in need. It maintains computing resources from the cloud and data centers while processing.

Edge computing systems bring processing power closer to the data source, resulting in faster and more efficient computing. But what tools are available to help us harness the power of edge computing?

As a part of this research, you will look at the newest edge computing tools and technologies to see how they can improve your computing experience. Here are some of the tools you might get familiar with upon completion of this research:

• Apache NiFi:  A framework for data processing that enables users to gather, transform, and transfer data from edge devices to cloud computing infrastructure.
• Microsoft Azure IoT Edge: A platform in the cloud that enables the creation and deployment of cutting-edge intelligent applications.
• OpenFog Consortium:  An organization that supports the advancement of fog computing technologies and architectures is the OpenFog Consortium.

3. Machine Learning: Algorithms, Real-world Applications, and Research Directions

Machine learning is the superset of Artificial Intelligence; a ground-breaking technology used to train machines to mimic human action and work. ML is used in everything from virtual assistants to self-driving cars and is revolutionizing the way we interact with computers. But what is machine learning exactly, and what are some of its practical uses and future research directions?

To find answers to such questions, it can be a wonderful choice to pick from the pool of various computer science dissertation ideas.

You will discover how computers learn several actions without explicit programming and see how they perform beyond their current capabilities. However, to understand better, having some basic programming knowledge always helps. KnowledgeHut’s Programming course for beginners will help you learn the most in-demand programming languages and technologies with hands-on projects.

During the research, you will work on and study

• Algorithm: Machine learning includes many algorithms, from decision trees to neural networks.
• Applications in the Real-world: You can see the usage of ML in many places. It can early detect and diagnose diseases like cancer. It can detect fraud when you are making payments. You can also use it for personalized advertising.
• Research Trend:  The most recent developments in machine learning research, include explainable AI, reinforcement learning, and federated learning.

While a single research paper is not enough to bring the light on an entire domain as vast as machine learning; it can help you witness how applicable it is in numerous fields, like engineering, data science & analysis, business intelligence, and many more.

Whether you are a data scientist with years of experience or a curious tech enthusiast, machine learning is an intriguing and vital field that's influencing the direction of technology. So why not dig deeper?

4. Evolutionary Algorithms and their Applications to Engineering Problems

Imagine a system that can solve most of your complex queries. Are you interested to know how these systems work? It is because of some algorithms. But what are they, and how do they work? Evolutionary algorithms use genetic operators like mutation and crossover to build new generations of solutions rather than starting from scratch.

This research topic can be a choice of interest for someone who wants to learn more about algorithms and their vitality in engineering.

Evolutionary algorithms are transforming the way we approach engineering challenges by allowing us to explore enormous solution areas and optimize complex systems.

The possibilities are infinite as long as this technology is developed further. Get ready to explore the fascinating world of evolutionary algorithms and their applications in addressing engineering issues.

5. The Role of Big Data Analytics in the Industrial Internet of Things

Datasets can have answers to most of your questions. With good research and approach, analyzing this data can bring magical results. Welcome to the world of data-driven insights! Big Data Analytics is the transformative process of extracting valuable knowledge and patterns from vast and complex datasets, boosting innovation and informed decision-making.

This field allows you to transform the enormous amounts of data produced by IoT devices into insightful knowledge that has the potential to change how large-scale industries work. It's like having a crystal ball that can foretell.

Big data analytics is being utilized to address some of the most critical issues, from supply chain optimization to predictive maintenance. Using it, you can find patterns, spot abnormalities, and make data-driven decisions that increase effectiveness and lower costs for several industrial operations by analyzing data from sensors and other IoT devices.

The area is so vast that you'll need proper research to use and interpret all this information. Choose this as your computer research topic to discover big data analytics' most compelling applications and benefits. You will see that a significant portion of industrial IoT technology demands the study of interconnected systems, and there's nothing more suitable than extensive data analysis.

6. An Efficient Lightweight Integrated Blockchain (ELIB) Model for IoT Security and Privacy

Are you concerned about the security and privacy of your Internet of Things (IoT) devices? As more and more devices become connected, it is more important than ever to protect the security and privacy of data. If you are interested in cyber security and want to find new ways of strengthening it, this is the field for you.

ELIB is a cutting-edge solution that offers private and secure communication between IoT devices by fusing the strength of blockchain with lightweight cryptography. This architecture stores encrypted data on a distributed ledger so only parties with permission can access it.

But why is ELIB so practical and portable? ELIB uses lightweight cryptography to provide quick and effective communication between devices, unlike conventional blockchain models that need complicated and resource-intensive computations.

Due to its increasing vitality, it is gaining popularity as a research topic as someone aware that this framework works and helps reinstate data security is highly demanded in financial and banking.

7. Natural Language Processing Techniques to Reveal Human-Computer Interaction for Development Research Topics

Welcome to the world where machines decode the beauty of the human language. With natural language processing (NLP) techniques, we can analyze the interactions between humans and computers to reveal valuable insights for development research topics. It is also one of the most crucial PhD topics in computer science as NLP-based applications are gaining more and more traction.

Etymologically, natural language processing (NLP) is a potential technique that enables us to examine and comprehend natural language data, such as discussions between people and machines. Insights on user behaviour, preferences, and pain areas can be gleaned from these encounters utilizing NLP approaches.

But which specific areas should we leverage on using NLP methods? This is precisely what you’ll discover while doing this computer science research.

Gear up to learn more about the fascinating field of NLP and how it can change how we design and interact with technology, whether you are a UX designer, a data scientist, or just a curious tech lover and linguist.

8. All One Needs to Know About Fog Computing and Related Edge Computing Paradigms: A Complete Survey

If you are an IoT expert or a keen lover of the Internet of Things, you should leap and move forward to discovering Fog Computing. With the rise of connected devices and the Internet of Things (IoT), traditional cloud computing models are no longer enough. That's where fog computing and related edge computing paradigms come in.

Fog computing is a distributed approach that brings processing and data storage closer to the devices that generate and consume data by extending cloud computing to the network's edge.

As computing technologies are significantly used today, the area has become a hub for researchers to delve deeper into the underlying concepts and devise more and more fog computing frameworks. You can also contribute to and master this architecture by opting for this stand-out topic for your research.

Tips and Tricks to Write Computer Research Topics

Before starting to explore these hot research topics in computer science you may have to know about some tips and tricks that can easily help you.

• Know your interest.
• Choose the topic wisely.
• Make proper research about the demand of the topic.
• Get proper references.
• Discuss with experts.

By following these tips and tricks, you can write a compelling and impactful computer research topic that contributes to the field's advancement and addresses important research gaps.

From machine learning and artificial intelligence to blockchain, edge computing, and big data analytics, numerous trending computer research topics exist to explore.

One of the most important trends is using cutting-edge technology to address current issues. For instance, new IIoT security and privacy opportunities are emerging by integrating blockchain and edge computing. Similarly, the application of natural language processing methods is assisting in revealing human-computer interaction and guiding the creation of new technologies.

Another trend is the growing emphasis on sustainability and moral considerations in technological development. Researchers are looking into how computer science might help in innovation.

With the latest developments and leveraging cutting-edge tools and techniques, researchers can make meaningful contributions to the field and help shape the future of technology. Going for Full-stack Developer online training will help you master the latest tools and technologies. 

Frequently Asked Questions (FAQs)

Research in computer science is mainly focused on different niches. It can be theoretical or technical as well. It completely depends upon the candidate and his focused area. They may do research for inventing new algorithms or many more to get advanced responses in that field.  

Yes, moreover it would be a very good opportunity for the candidate. Because computer science students may have a piece of knowledge about the topic previously. They may find Easy thesis topics for computer science to fulfill their research through KnowledgeHut. 

 There are several scopes available for computer science. A candidate can choose different subjects such as AI, database management, software design, graphics, and many more. 

Ramulu Enugurthi

Ramulu Enugurthi, a distinguished computer science expert with an M.Tech from IIT Madras, brings over 15 years of software development excellence. Their versatile career spans gaming, fintech, e-commerce, fashion commerce, mobility, and edtech, showcasing adaptability in multifaceted domains. Proficient in building distributed and microservices architectures, Ramulu is renowned for tackling modern tech challenges innovatively. Beyond technical prowess, he is a mentor, sharing invaluable insights with the next generation of developers. Ramulu's journey of growth, innovation, and unwavering commitment to excellence continues to inspire aspiring technologists.

Avail your free 1:1 mentorship session.

Something went wrong

Upcoming Programming Batches & Dates

• Customer Reviews
• Extended Essays
• IB Internal Assessment
• Theory of Knowledge
• Literature Review
• Dissertations
• Essay Writing
• Research Writing
• Assignment Help
• Capstone Projects
• College Application
• Online Class

Computer Science Research Paper Topics: 30+ Ideas for You

by  Antony W

November 26, 2023

We’ve written a lot on computer science to know that choosing research paper topics in the subject isn’t as easy as flipping a bulb’s switch. Brainstorming can take an entire afternoon before you come up with something constructive.

However, looking at prewritten topics is a great way to identify an idea to guide your research. 

In this post, we give you a list of 20+ research paper topics on computer science to cut your ideation time to zero.

• Scan the list.
• Identify what topic piques your interest
• Develop your research question , and
• Follow our guide to write a research paper .

Key Takeaways 

• Computer science is a broad field, meaning you can come up with endless number of topics for your research paper.
• With the freedom to choose the topic you want, consider working on a theme that you’ve always wanted to investigate.
• Focusing your research on a trending topic in the computer science space can be a plus.
• As long as a topic allows you to complete the steps of a research process with ease, work on it.

Computer Science Research Paper Topics

The following are 30+ research topics and ideas from which you can choose a title for your computer science project:

Artificial Intelligence Topics

AI made its first appearance in 1958 when Frank Rosenblatt developed the first deep neural network that could generate an original idea. Yet, there’s no time Artificial Intelligence has ever been a profound as it is right now. Interesting and equally controversial, AI opens door to an array of research opportunity, meaning there are countless topics that you can investigate in a project, including the following:

• Write about the efficacy of deep learning algorithms in forecasting and mitigating cyber-attacks within educational institutions. 
• Focus on a study of the transformative impact of recent advances in natural language processing.
• Explain Artificial Intelligence’s influence on stock valuation decision-making, making sure you touch on impacts and implications.
• Write a research project on harnessing deep learning for speech recognition in children with speech impairments.
• Focus your paper on an in-depth evaluation of reinforcement learning algorithms in video game development.
• Write a research project that focuses on the integration of artificial intelligence in orthopedic surgery.
• Examine the social implications and ethical considerations of AI-based automated marking systems.
• Artificial Intelligence’s role in cryptocurrency: Evaluating its impact on financial forecasting and risk management
• The confluence of large-scale GIS datasets with AI and machine learning

Data Structure and Algorithms Topics

Topics on data structure and algorithm focus on the storage, retrieval, and efficient use of data. Here are some ideas that you may find interesting for a research project in this area:

• Do an in-depth investigation of the efficacy of deep learning algorithms on structured and unstructured datasets.
• Conduct a comprehensive survey of approximation algorithms for solving NP-hard problems.
• Analyze the performance of decision tree-based approaches in optimizing stock purchasing decisions.
• Do a critical examination of the accuracy of neural network algorithms in processing consumer purchase patterns.
• Explore parallel algorithms for high-performance computing of genomic data. 
• Evaluate machine-learning algorithms in facial pattern recognition.
• Examine the applicability of neural network algorithms for image analysis in biodiversity assessment
• Investigate the impact of data structures on optimal algorithm design and performance in financial technology
• Write a research paper on the survey of algorithm applications in Internet of Things (IoT) systems for supply-chain management.

Networking Topics

The networking topics in research focus on the communication between computer devices. Your project can focus on data transmission, data exchange, and data resources. You can focus on media access control, network topology design, packet classification, and so much more. Here are some ideas to get you started with your research: 

• Analyzing the influence of 5g technology on rural internet accessibility in Africa
• The significance of network congestion control algorithms in enhancing streaming platform performance
• Evaluate the role of software-defined networking in contemporary cloud-based computing environments
• Examining the impact of network topology on performance and reliability of internet-of-things
• A comprehensive investigation of the integration of network function virtualization in telecommunication networks across South America
• A critical appraisal of network security and privacy challenges amid industry investments in healthcare
• Assessing the influence of edge computing on network architecture and design within Internet of Things
• Evaluating challenges and opportunities in the adoption of 6g wireless networks
• Exploring the intersection of cloud computing and security risks in the financial technology sector
• An analysis of network coding-based approaches for enhanced data security

Database Topic Ideas

Computer science relies heavily on data to produce information. This data requires efficient and secure management and mitigation for it to be of any good value. Given just how wide this area is as well, your database research topic can be on anything that you find fascinating to explore. Below are some ideas to get started:

• Examining big data management systems and technologies in business-to-business marketing
• Assessing the use of in-memory databases for real-time data processing in patient monitoring
• An analytical study on the implementation of graph databases for data modeling and analysis in recommendation systems
• Understanding the impact of NOSQL databases on data management and analysis within smart cities
• The evolving dynamics of database design and management in the retail grocery industry under the influence of the internet of things
• Evaluating the effects of data compression algorithms on database performance and scalability in cloud computing environments
• An in-depth examination of the challenges and opportunities presented by distributed databases in supply chain management
• Addressing security and privacy concerns of cloud-based databases in financial organizations
• Comparative analysis of database tuning and optimization approaches for enhancing efficiency in Omni channel retailing
• Exploring the nexus of data warehousing and business intelligence in the landscape of global consultancies

Free Features

Need help to complete and ace your essay? Order our writing service.  

Get all academic paper features for $65.77 FREE

About the author 

Antony W is a professional writer and coach at Help for Assessment. He spends countless hours every day researching and writing great content filled with expert advice on how to write engaging essays, research papers, and assignments.

13 Seminar Topics For Computer Science (2024)

If you’re a final-year engineering college student preparing for the CSE seminars, this list of handpicked technical seminar topics for computer science will help you.

We have shared the possible topics you can include in each of the following seminar topics and also some project references to start your research work.

Computer science seminar topics at a glance

1. comparative analysis of convolutional neural networks (cnn) architectures for image classification.

Convolutional neural networks (CNNs) are a powerful type of neural network used extensively in computer vision and image classification tasks. 

They can automatically learn relevant features from image data. Many different CNN architectures like VGG, ResNet, Inception etc. represent different design philosophies and tradeoffs. Comparing different CNN models in terms of accuracy, efficiency, and complexity can help understand their strengths and weaknesses for a given task.

To provide engineering students with an overview and comparative analysis of major convolutional neural network (CNN) architectures for image classification.

What to cover in this seminar:

• Brief technical introduction to CNNs – architecture, key layers, how they work for feature extraction and image classification.
• Cover 5-6 major CNN architectures in depth : AlexNet, VGGNet, Inception, ResNet, MobileNets. Explain their novel contributions and key technical details on architecture and training.
• Analyze the accuracy of the ImageNet dataset . Also compare model size, training times, and compute requirements.
• Explain code and demonstrate live training of 2-3 models on GPU to showcase training times.
• Use ablation studies and visualizations to illustrate the impact of key architectural innovations of each model.
• Evaluate models for a sample application case study (e.g. limited data, constrained platform). Recommend the most suitable model based on findings.
• Discuss the latest ideas like Automated Machine Learning, and Neural Architecture Search to auto-generate optimal CNN models.
• Conclude with practical guidelines on selecting CNN architectures .

Seminar references:

• An Analysis Of Convolutional Neural Networks For Image Classification
• (PDF) A Comparative Study of Different Types of Convolutional Neural Networks for Breast Cancer Histopathological Image Classification

2. Sentiment analysis using LSTM networks

Sentiment analysis is text classification to detect positive, and negative sentiments. Useful for analyzing customer reviews, survey responses etc. Recurrent neural networks like LSTMs are effective for text modelling due to their ability to capture context and long-range dependencies.

Understanding sentiment analysis architecture and training using LSTMs has many real-world applications in NLP such as:

• Analyzing customer feedback and reviews for products/services
• Social media monitoring – understanding public sentiment on topics, events
• Analyzing survey responses to guide business decisions
• Chatbots – detecting user sentiment from conversations
• Political sentiment analysis from speeches, news
• Healthcare – gauging patient satisfaction from feedback
• To understand the concept of sentiment analysis and its applications in areas like customer service, social media, healthcare etc. 
• To learn how LSTM networks work and why they are effective for text modelling and sequence tasks.
• Introduction with real-world examples of sentiment analysis applications to motivate students.
• Explain LSTM architecture with interactive visualizations and examples to build intuition.
• Lead students through hands-on coding walkthrough of data preprocessing steps like tokenization, and padding.
• Guide students through model implementation in TensorFlow/Keras – adding layers, compiling, and fitting.
• Do a live demo of model training and evaluate results on test data. Visualize loss curves.
• Analyze misclassified examples to understand model limitations. Invite students’ ideas on improvements.
• Perform ablation studies to showcase the impact of model hyperparameters and architecture choices.
• Examine attention weights to visualize how LSTMs focus on relevant words.
• Discuss enhancements like ensembles, and multitask learning to increase accuracy.
• Text-based Sentiment Analysis using LSTM
• Sentiment Analysis using Neural Network and LSTM  

3. Docker containerization for deployment of cloud-native applications

Docker is a popular container technology that allows packaging apps into portable containers, whereas containers provide efficient, lightweight virtualization to deploy apps in the cloud.

To get a strong understanding of containers and how leveraging Docker can improve the development lifecycle of modern cloud applications.

• Docker and containerization basics
• Docker architecture and components
• Basic Docker commands – run, pull, ps, exec
• Build Docker images with Dockerfile
• Docker Compose for multi-container apps
• Deploying microservices with Docker
• CI/CD pipelines with Docker
• Best practices for optimizing Docker images
• Troubleshooting common Docker issues
• Interactive demos for containerizing apps
• Resource Management Schemes for Cloud Native Platforms with Computing Containers of Docker and Kubernetes
• http://elib.uni-stuttgart.de/bitstream/11682/9729/1/Mirna%20Alaisami%2C%20Msc%20Arbeit%2C%202018.pdf

4. Simulation of wireless sensor networks for smart agriculture

This seminar topic focuses on the use of wireless sensor network (WSN) simulations to model and evaluate applications for smart agriculture. You can also discuss how sensors and connectivity can provide data-driven insights to optimize crop yields, water usage, and farm operations.

To get an overview of applying wireless sensor networks and simulation to enable data-driven decision-making in agriculture. Through real-world examples and simulation demos, you will have an understanding of this emerging approach for sustainable farming powered by sensor data and analytical models.

• Introduction to smart agriculture and precision farming techniques
• Overview of wireless sensor network topology, hardware, and communication protocols
• Data collection, analysis and visualization for agriculture
• Simulation fundamentals and agriculture modelling
• Hands-on demonstration of an open-source simulator for wireless sensor networks
• Testbed concepts and case studies of real-world deployments
• Evaluation of feasibility, costs, and challenges of implementing smart agriculture
• Maximization of wireless sensor network lifetime using solar energy harvesting for smart agriculture monitoring
• A wireless sensor network for precision agriculture and its performance  

5. Dynamic malware analysis using machine learning

Dynamic malware analysis refers to executing and monitoring malware programs in controlled sandbox environments to analyze their runtime behaviours and effects on the systems they infect. 

This seminar will provide an overview of leveraging machine learning techniques to perform dynamic analysis of malware. 

To gain practical knowledge of behaviour-based analysis workflows, the type of features extracted, and how models can be trained on this data to improve detection accuracy while minimizing false positives.

• Limitations of signature-based and static malware analysis
• Introduction to dynamic analysis and sandboxing
• Behavioral features extraction using instrumentation
• Supervised learning algorithms for malware classification
• Simulation of evasive malware samples
• Unsupervised learning for anomaly-based detection
• Architectures for scalable analysis in the cloud
• https://ieeexplore.ieee.org/abstract/document/8389286/  

6. Computer vision for automated visual inspection in manufacturing

This seminar will focus on applying computer vision and image processing techniques to automate visual inspection tasks in manufacturing environments. During this seminar, you will explore how cameras and sensors combined with AI algorithms can reliably detect product and part defects on production lines.

To get an overview of the technologies, techniques, and applications of computer vision to radically transform visual inspection from time-consuming human monitoring to accurate and scalable automated quality assurance.

• Applications of automated visual inspection
• Computer vision and deep learning fundamentals
• Image processing for manufacturing
• Data collection, labelling, and augmentation
• Algorithm training for surface, structural and functional defects
• Deployment considerations for product lines
• Edge computing integrations
• Combining CV analysis with process adjustments
• Industry case studies and emerging innovations
• https://www.researchgate.net/profile/Nicholas-Konz/publication/356971623_Computer_Vision_Techniques_in_Manufacturing/links/63d160a3d7e5841e0bf78b56/Computer-Vision-Techniques-in-Manufacturing.pdf
• Machine parts recognition and defect detection in automated assembly systems using computer vision techniques  

7. Supply chain optimization with simulation and AI

This seminar topic focuses on simulation and artificial intelligence techniques to model, analyze, and optimize complex global supply chains. It includes the usage of simulation models and artificial intelligence algorithms to analyze various areas of the supply chain, such as:

• inventory management
• production scheduling
• logistics and distribution.

Through real-world applications, you will learn how simulation and AI can provide data-driven insights to dramatically improve forecast accuracy, inventory management, distribution strategies and overall supply network health.

• Challenges with traditional supply chain management
• Simulation modelling for what-if analysis
• AI for demand forecasting, delivery optimization
• Machine learning applications in planning and scheduling
• Digital twin technology and simulation
• Analytics for risk detection and mitigation
• Industry use cases across manufacturing, transportation etc.
• Future directions for intelligent, self-correcting supply networks
• Coupling Soft Computing, Simulation and Optimization in Supply Chain Applications: Review and Taxonomy
• Artificial intelligence applications in supply chain: A descriptive bibliometric analysis and future research directions  

8. Implementing handwriting recognition with LSTM neural networks

With this seminar, you will learn how LSTM models are uniquely equipped to learn both long-range and short-term contextual dependencies in handwriting samples.

To learn how recurrent LSTM networks can enable high-accuracy offline handwriting text recognition.

• Challenges with handwriting recognition
• Introduction to LSTM networks
• Preprocessing handwriting data
• Feature extraction techniques
• LSTM model architectures
• Training considerations for convergence
• Deployment of LSTM neural networks to mobile and edge devices
• Offline Handwriting Recognition with Multidimensional Recurrent Neural Networks
• Neural networks for handwriting recognition  

9. Grover’s algorithm for database search

In this seminar, discuss the quadratic speedup offered by this algorithm over classical methods, along with the concepts of amplitude amplification and oracle functions on quantum states. 

To understand how Grover’s algorithm leverages the phenomena of quantum superposition and entanglement to achieve faster search times.

• Classical vs quantum search
• Overview of Grover’s algorithm
• Mathematics of amplitude amplification
• Constructing quantum oracles
• Query and time complexity analysis
• Speedup over classical algorithms
• Potential real-world applications
• Implementation challenges
• Future outlook with larger qubit systems
• Is partial quantum search of a database any easier?  
• Grover’s Algorithm: Quantum Database Search  

10. Scalable distributed storage for big data analytics

You can focus on scalable distributed storage and computing architectures enabling big data analytics on massive datasets including the design considerations for storage systems that manage structured, unstructured, and streaming data across clusters.

To learn about the architectural view of modern distributed file systems for storing and analyzing big data. Students will understand system design choices, consistency tradeoffs, and integration of commodity hardware for economical and adaptable analytics at scale.

• Challenges for storage systems in the era of big data
• Introduction to distributed file system architecture
• Storage considerations for file types and access patterns
• Replication strategies for scalability and fault tolerance
• Consistency, availability and partition tolerance
• Analytics with MapReduce and Spark over distributed storage
• Case studies of Hadoop HDFS, Cassandra etc.
• (PDF) A Platform for Big Data Analytics on Distributed Scale-out Storage System
• 7 BlueDBM: Distributed Flash Storage for Big Data Analytics  

11. Screenless Display technology 

This seminar will explore the latest screenless display technologies that can render images and interfaces in midair without requiring a traditional display screen. Also, you can highlight approaches utilizing lasers, holograms, and focus beams of ultrasound waves to create crisp interactive displays on any surface.

To understand the techniques and assess the feasibility of applications from augmented reality to interactive 3D data visualization.

• Limitations of current display technology
• Approaches for screenless display
• Laser-based aerial display systems
• Volumetric and holographic display methods
• Acoustic display through ultrasound
• Midair haptics for interactive sensations
• Screenless Displays-The Emerging Computer Technology
• Ultra-Low-Power Mode for Screenless Mobile Interaction

Further seminar topic ideas:

• 21 Artificial intelligence seminar topics for 2024
• 16 Trending Cyber Security Seminar Topics
• 15 Cloud Computing Seminar Topics

12. Parallel computing

Parallel computing involves breaking down large problems into smaller, independent parts that can be processed simultaneously.

This seminar provides an overview of parallel computing concepts, architectures, and techniques to improve computational speed, throughput, and efficiency through concurrent processing.

To understand the core principles and tradeoffs with common parallel processing systems. By the seminar’s end, you should be able to evaluate when and how to leverage parallelism across embedded devices, desktops, servers, and high-performance computing clusters to improve software performance.

• Need for parallel computing
• Multicore processors and system architectures
• Parallel algorithms, decomposition, and profiling
• Programming frameworks (OpenMP, MPI)
• Parallel patterns and libraries
• GPU computing and CUDA
• Case studies and applications
• Debugging, testing, and portability
• Trends towards exascale computing
• The Landscape of Parallel Computing Research: A View from Berkeley
• GPUS AND THE FUTURE OF PARALLEL COMPUTING  

13. Video summarization with deep learning

This seminar focuses on applying deep learning techniques to automatically create concise summaries of long video content by extracting only the most informative parts. This involves the use of technologies like Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Transfer Learning, Reinforcement Learning (RL), and more.

To learn how advanced neural networks can mimic complex human understanding of video to automatically determine significance and synthesize shortened videos, saving crucial analyst time and resources.

• Basics of deep learning and its application in video analysis
• Overview of existing techniques in video summarization
• Deep learning architectures for video summarization
• Challenges and limitations in video summarization with deep learning
• Case studies or examples demonstrating the effectiveness of deep learning in video summarization
• Video Summarization Using Deep Neural Networks: A Survey
• Highlight Detection With Pairwise Deep Ranking for First-Person Video Summarization  

Final words

That’s all. I hope you’ve now found the right seminar topic ideas to cover in your CSE college seminar. If you have any suggestions, feel free to ping me and get your idea featured on 10Pie.

You can find further resources on computer science and software engineering here:

• Software testing career paths
• Will AI replace software engineers? Experts’ answers
• In-demand Python Career Paths
• Software Engineering Courses after 12th (Free & Paid)

Mrittika Sengupta is a professional content writer with more than 2 years of experience in writing for some of the popular blogs on marketing and tech fields. She also mentors aspiring writers transitioning from academia to the commercial writing world.

10Pie is your go-to resource hub to start and grow your Tech Career.

Send us your queries at [email protected]

CAREER GUIDES

• Data Science
• Cyber Security
• Cloud Computing
• Artificial Intelligence
• Business Intelligence
• Contributors
• Tech Glossary
• Editorial Policy
• Tech Companies
• Privacy policy

📈 Tech career paths

• AI career paths
• Python career paths
• DevOps career paths
• Data engineer career paths
• Data science career paths
• Software engineer career paths

🏆 Tech courses

• Cloud computing courses in Pune
• Data analytics courses in Hyderabad
• Data science courses in Mangalore
• Cloud computing courses in Hyderabad
• Data analytics courses in Indore
• Data analytics courses in Mumbai
• Data analytics courses in Pune

📌 Featured articles

• AI seminar topics
• Which tech career is right for me?
• Will AI replace software engineers?
• Top data annotation companies
• Cyber security career roadmap
• How Tesla uses Artificial Intelligence
• Cloud computing seminar topics

© 2023 All rights reserved. All content is copyrighted, republication is prohibited.

• Interview Questions
• Group Discussion
• Electronics and Communication
• Electrical and Electronics
• Electronics and Instrumentation
• Computer Science
• Mechanical Engineering
• Civil Engineering

150+ Best Technical seminar topics for cse| Seminar topics for computer science

• Computer Science , Seminar Topics

If you’re looking for ideas for technical seminar topics for cse, you will find this article very useful as here you will find few potential options to consider.The field of computer science is always evolving, and keeping up with the latest advancements can be a challenge. Attending a technical seminar is a great way to stay up-to-date on the latest trends and technologies. Here are some great seminar topics for computer science students:

Table of Contents

Computer science seminar topics

Green computing.

Green computing is the practice of using computing resources in a way that is environmentally sustainable. This includes reducing the energy consumption of computers and other devices, as well as recycling or disposing of them properly. It also involves using green technologies, such as solar power, to power computing devices. Green computing is becoming increasingly important as the world becomes more reliant on technology. With the right practices in place, businesses and individuals can help to reduce their carbon footprint and make a positive impact on the environment.

A mobile ad hoc network (MANET) is a type of wireless network that does not rely on fixed infrastructure. MANETs are often used in situations where it is not possible or practical to deploy a traditional wired or wireless network. For example, MANETs can be used to provide connectivity in disaster areas or other remote locations. Technical seminar topics for cse students interested in MANETs may include topics such as routing protocols, security challenges, and energy-efficiency.

Wireless Networked Digital Devices

Wireless networking is one of the most popular topics in the field of computer science and engineering. In this seminar, you can explore the basics of wireless networking, including the different types of wireless networks and the devices that are used to connect to them. You can also discuss some of the challenges that wireless networks face, such as interference and security.

3G-vs-WiFi Interferometric Modulator (IMOD)

A 3G-vs-WiFi Interferometric Modulator (IMOD) is a device that can be used to modulate the interference between two wireless signals. It is a type of radio frequency (RF) interference Canceller. The IMOD can be used to improve the performance of wireless devices by reducing the amount of interference between the two signals.

Silverlight

Silverlight is a powerful development platform for creating engaging, interactive user experiences for web, desktop, and mobile applications. Silverlight is a cross-platform, cross-browser, and cross-device plugin for delivering the next generation of .NET based media experiences and rich interactive applications (RIAs) for the Web.

Free Space Laser Communications

Laser communications offer a number of advantages over traditional radio frequency (RF) communications, including higher bandwidth, increased security, and the ability to transmit data over longer distances. However, laser communications systems are also more expensive and require a clear line of sight between the transmitter and receiver.

In this seminar, you can discuss the basics of laser communications and explore some of the challenges associated with implementing these systems. You can also discuss some of the potential applications for free space laser communications, including high-speed data links and long-range communications.

Screenless Display

A screenless display is a display device that does not use a traditional video screen. Instead, images are projected directly onto the viewer’s retina, using a technology called retinal projection. This type of display has a number of advantages over traditional screens, including a higher resolution, a wider field of view, and a more immersive experience. Screenless displays are still in the early stages of development, but they have the potential to revolutionize the way we interact with computers and other digital devices.

Li-Fi Technology

Li-Fi is a new technology that uses light to transmit data. It is similar to Wi-Fi, but instead of using radio waves, it uses visible light. Li-Fi is much faster than Wi-Fi, and it is also more secure because it is less susceptible to interference. In addition, Li-Fi is more energy-efficient than Wi-Fi, making it a more sustainable option.

Smart Note Taker

The Smart Note Taker is a device that allows you to take notes and store them electronically. This can be extremely helpful for students who want to be able to take notes and have them stored in one place. The Smart Note Taker can also be used for business meetings or other events where taking notes is important. There are a variety of different models of the Smart Note Taker, so you can choose the one that best meets your needs.

Computational Intelligence in Wireless Sensor Networks

Wireless sensor networks are becoming increasingly popular as a means of gathering data about the world around us. However, these networks face a number of challenges, including the need for energy-efficient algorithms and the need to deal with incomplete and noisy data. Computational intelligence is a branch of artificial intelligence that is particularly well suited to these sorts of problems. This seminar will explore the use of computational intelligence in wireless sensor networks, with a focus on recent research developments.

Fog Computing

Fog computing is a distributed computing paradigm that provides data, compute, storage, and application services closer to the users and devices, at or near the edge of the network. Fog computing extends cloud computing and services by pushing them closer to the edge of the network, where devices (such as sensors and actuators) and people interact with the cloud. Fog computing can help to reduce the cost and complexity of deploying large-scale data services, and it can also help to improve the user experience by providing faster response times and lower latency.

Software Reuse

Software reuse is the process of using existing software components to create new software applications. It is a key principle of software engineering that can help software developers save time and money while creating high-quality software products. There are many benefits to software reuse, including increased software quality, reduced development time, and improved code maintainability. However, successful software reuse requires careful planning and execution. In the seminar, you can discuss the basics of software reuse and how to implement it effectively in your software development projects.

Google Project Loon

Google Project Loon is a research and development project by Google X that was created to bring Internet access to rural and remote areas. The project uses high-altitude balloons placed in the stratosphere at an altitude of about 32 km (20 mi) to create an aerial wireless network with up to 3G-like speeds. The balloons are equipped with solar panels, batteries, and transceivers that communicate with ground stations and relay Internet access to people in the coverage area.

Prescription Eyeglasses

Prescription eyeglasses are glasses that are prescribed by an optometrist or ophthalmologist to correct vision problems. They usually have a corrective lens on the front of the glasses that helps to focus light on the retina, which in turn improves vision. Prescription eyeglasses can also be used for cosmetic purposes, such as hiding a lazy eye.

Eye Gaze Communication System

An eye gaze communication system is a device that allows people to communicate using only their eyes. This technology is often used by people with severe physical disabilities who are unable to speak or use their hands. The system works by tracking the user’s eye movements and translating them into commands that can be used to control a computer or other devices. While this technology is still in its early stages, it has the potential to revolutionize the way people with disabilities communicate.

MRAMs and SMRs

Magnetic random-access memory (MRAM) is a type of non-volatile memory that uses magnetic fields to store data. Static magnetic random-access memory (SMR) is a type of MRAM that uses a static magnetic field to store data. SMRs are more resistant to power outages and data corruption than other types of MRAM, making them ideal for mission-critical applications.

Cyberbullying Detection

Cyberbullying is a growing problem among children and teenagers. It can take many forms, including online harassment, spreading rumors, and making threats. While it can be difficult to detect, there are some warning signs that parents and teachers can look for. These include sudden changes in behavior, withdrawal from social activities, and declining grades. If you suspect that your child is being cyberbullied, there are a number of steps you can take to help them. These include talking to them about it, reporting it to the proper authorities, and monitoring their online activity. Cyberbullying is a serious issue, but with awareness and action, it can be stopped.

Jini Technology

Jini technology is a distributed computing architecture that allows devices to connect and interact with each other over a network. Jini-enabled devices can be connected together to form an ad hoc network, which can be used to share data and resources. Jini technology is designed to be simple and easy to use, with a minimum of configuration required. Jini-enabled devices can be used to create everything from home automation systems to large-scale distributed systems.

Quantum Information Technology

Quantum information technology is an emerging field that uses the principles of quantum mechanics to process and store information. This technology has the potential to revolutionize computing, communication, and sensing. Currently, quantum information technology is in its early stages of development, but there are a number of potential applications that could have a major impact on society

. For example, quantum computers could be used to solve problems that are intractable for classical computers, such as factorizing large numbers or searching large databases. Quantum communication could enable secure communication that is impossible to eavesdrop on. And quantum sensors could be used to detect extremely weak signals, such as gravity waves or dark matter.

Facility Layout Design using Genetic Algorithm

Facility layout design is a critical component of many manufacturing and industrial operations. An effective layout can improve productivity and efficiency while reducing costs. Unfortunately, designing an optimal layout is a complex task that often requires significant trial and error.

Genetic algorithms offer a potential solution to this problem by using evolutionary techniques to generate near-optimal layouts. This approach has been shown to be effective in a variety of applications and industries. As a result, genetic algorithm-based facility layout design is a promising area of research with the potential to significantly impact many businesses and operations.

Tamper Resistance

Tamper resistance is a term used to describe the ability of a system or device to resist being tampered with. Tamper resistance can be achieved through a variety of means, including physical security measures, cryptographic protections, and software security.

Delay Tolerant Networking

Delay Tolerant Networking (DTN) is a new networking paradigm that is designed to cope with the challenges posed by highly dynamic and resource-constrained environments. DTN is characterized by intermittent connectivity, high link failure rates, and significant delays. Traditional networking protocols are not well suited for these conditions, and as a result, DTN has emerged as a new approach for networking in challenging environments.

DTN protocols are designed to deal with the challenges posed by intermittent connectivity and high link failure rates by using store-and-forward mechanisms. In addition, DTN protocols often make use of collaborative mechanisms, such as social networking, to route data around the network. DTN is an active area of research, and there are a number of different DTN protocols that have been proposed.

Helium Drives

Helium drives are a type of solid-state drive that use helium instead of air to keep the drive’s components cool. Helium is less dense than air, so it can help to reduce the amount of heat that builds up inside the drive. This can improve the drive’s performance and longevity. Helium drives are more expensive than traditional drives, but they offer a number of benefits.

Holographic Memory

Holographic memory is a new type of computer memory that uses light to store data. Unlike traditional computer memory, which stores data in bits, holographic memory can store data in multiple dimensions. This makes it much more efficient than traditional memory, and allows for higher data densities. Holographic memory is still in the early stages of development, but has the potential to revolutionize computing.

Autonomic Computing

Autonomic computing is a term coined by IBM in 2001 to describe a self-managing computer system. The idea is that a computer system can be designed to manage itself, without the need for human intervention. This would allow a computer system to automatically adjust to changing conditions, such as increasing traffic on a network, and make decisions that would optimize performance. Autonomic computing is still in the early stages of development, but has the potential to revolutionize the way we use computers.

Google Glass

Google Glass is a wearable computer with an optical head-mounted display (OHMD). It was developed by Google X, the company’s research and development arm. The device was first announced in April 2012, and was released to early adopters in the United States in May 2014. Google Glass is capable of displaying information in a smartphone-like format, and can also be used to take photos and videos, and to perform internet searches.

Blockchain Technology

Blockchain technology is a distributed database that allows for secure, transparent and tamper-proof transactions. This makes it ideal for a wide range of applications, from financial services to supply chain management. While the technology is still in its early stages, it has the potential to revolutionize the way we do business. For those interested in learning more about blockchain technology, they can include this in technical seminar topics for cse.

Internet of Things

The Internet of Things (IoT) is a network of physical devices, vehicles, home appliances, and other items embedded with electronics, software, sensors, and connectivity which enables these objects to connect and exchange data. The aim of IoT is to create an ecosystem of interconnected devices that can be controlled and monitored remotely. In a seminar cse students can explore the potential of IoT in various fields such as healthcare, transportation, smart cities, and manufacturing.

Brain Chips

Brain chips are a type of computer chip that can be implanted into the brain. These chips are designed to interface with the brain’s neurons and allow people to control devices with their thoughts. Brain chips are still in the early stages of development, but they hold great promise for people with disabilities. In the future, brain chips may also be used to improve cognitive abilities or to treat conditions like Alzheimer’s disease.

Graphics Processing Unit (GPU)

A graphics processing unit (GPU) is a specialized electronic circuit designed to rapidly manipulate and alter memory to accelerate the creation of images in a frame buffer intended for output to a display device. GPUs are used in embedded systems, mobile phones, personal computers, workstations, and game consoles.

Modern GPUs are very efficient at manipulating computer graphics and image processing, and their highly parallel structure makes them more effective than general-purpose CPUs for algorithms where the processing of large blocks of data is done in parallel. In a personal computer, a GPU can be present on a video card, or it can be embedded on the motherboard.

Smart Cards

A smart card is a type of credit card that contains a microprocessor. This microprocessor can be used to store information, such as your account number and balance. Smart cards are more secure than traditional credit cards, because the microprocessor makes it difficult for thieves to copy your information. In addition, smart cards can be used to store loyalty points or other rewards. If you’re looking for a new way to pay for your purchases, a smart card may be the right choice for you.

Night Vision Technology

Night vision technology is a type of technology that allows people to see in low-light or no-light conditions. This type of technology is often used by the military, law enforcement, and other professionals who need to be able to see in dark conditions. Night vision technology typically uses one or more of three different methods to allow people to see in the dark: image intensification, active illumination, and thermal imaging.

Voice Portals

Voice portals are a type of computer-based system that allows users to access information or perform tasks using voice commands. Voice portals are becoming increasingly popular as they offer a hands-free way to interact with technology. Many voice portals use artificial intelligence (AI) to understand user requests and provide accurate results. Some popular examples of voice portals include Siri, Google Assistant, and Alexa.

Smart Dust is a term used to describe tiny sensors that can be used to monitor everything from air quality to movement. These sensors are often powered by solar energy, making them environmentally friendly as well as efficient. Smart Dust has a wide range of potential applications, including tracking wildlife, monitoring traffic, and even spying on people. However, the technology is still in its early stages, and there are concerns about privacy and security.

A DOS attack is a type of cyber attack that is designed to overload a system with requests, making it unavailable to legitimate users. This can be done by flooding the system with traffic, or by sending it a large number of requests that it cannot handle. DOS attacks are often carried out by botnets, which are networks of infected computers that are controlled by a hacker.

Pervasive Computing

Pervasive computing is a term used to describe the trend of technology becoming increasingly embedded in our everyday lives. This can be seen in the rise of wearable devices, such as fitness trackers and smartwatches, as well as the proliferation of connected devices in the home, such as thermostats and security cameras. With the advent of 5G and the Internet of Things, this trend is only likely to continue, with an ever-increasing number of devices being connected to the internet. This has a number of implications for both individuals and businesses, and it is important to stay up-to-date on the latest developments in this field.

Speed protocol processors

Speed protocol processors are devices that are used to process data at high speeds. They are often used in telecommunications and networking applications. Technical seminar topics for cse often include speed protocol processors as a topic of discussion.

ITwin is a company that provides a service that allows users to securely access their files and data from any internet-connected device. The company’s flagship product is a USB drive that contains two parts: a “client” that is installed on the user’s computer, and a “server” that is stored in the cloud. When the user plugs the iTwin into their computer, the client connects to the server and allows the user to access their files as if they were on their own computer. The service also allows the user to share files with others, and to access their files from any internet-connected device.

Clockless Chip

A clockless chip is a type of microprocessor that does not use a clock signal to synchronize its operations. Clockless chips are also known as asynchronous or self-timed chips

Rain Technology Architecture

Rain technology architecture is a type of architecture that uses rainwater to provide a cooling effect. This can be done by using a roof system that collects and stores rainwater, or by using a facade system that allows rainwater to flow down the side of a building. This type of architecture is becoming increasingly popular as a way to reduce energy consumption and lower carbon emissions.

Code Division Duplexing

Code Division Duplexing is a duplexing technique used in communication systems. It allows two users to share the same frequency band by using different codes. CDD can be used in both frequency-division duplexing (FDD) and time-division duplexing (TDD) systems. In an FDD system, the two users are assigned different frequencies for uplink and downlink transmission. In a TDD system, the two users are assigned different time slots for uplink and downlink transmission. CDD can provide a higher data rate than FDD or TDD alone.

Augmented Reality vs Virtual Reality

Augmented reality (AR) and virtual reality (VR) are two of the most popular technical seminar topics for cse students. Both technologies have a lot to offer, but they are also very different. AR is a technology that overlays digital information on the real world, while VR creates a completely simulated environment. VR is often used for gaming and entertainment, while AR has a range of applications, from retail to education.

DNA Based Computing

DNA-based computing is a rapidly emerging field of research that uses DNA and other biomolecules to store and process information. This technology has the potential to revolutionize computing, as it offers a more efficient and scalable way to store and process data. In addition, DNA-based computing is well suited for certain types of applications, such as data mining and machine learning. As this technology continues to develop, it will likely have a major impact on the way we use computers.

Transactional Memory

Transactional memory is a programming technique that allows for easy management of concurrent access to shared data. It is especially useful in multicore and multithreaded environments, where it can help to prevent race conditions and other forms of data corruption. Transactional memory is a relatively new technology, but it is already being used in a variety of programming languages and applications.

A Voice XML

Voice XML is a markup language that allows developers to create voice-based applications. With Voice XML, developers can create applications that allow users to interact with a system using their voice. Voice XML applications can be used for a variety of purposes, such as voice-activated menus, voice-based search, and voice-based information services. Voice XML is an important tool for developers who want to create voice-based applications.

Virtual LAN Technology

Virtual LAN (VLAN) technology is a way to create multiple logical networks on a single physical network. VLANs are often used to segment a network into different subnets for security or performance reasons. Technical seminar topics for cse can include anything from the history of VLANs to the technical details of how they work. This makes VLANs an important topic for anyone interested in networking or computer science.

Global Wireless E-Voting

Global Wireless E-Voting is a technical seminar topic for cse students. It explains the process of conducting an election using wireless devices such as smartphones and tablets. The seminar will cover the advantages and disadvantages of this method of voting, as well as the potential security risks.

Smart Fabrics

Smart fabrics are fabrics that have been designed to incorporate technology into their construction. This can include anything from integrated sensors to heating and cooling elements. Smart fabrics are often used in military and industrial applications, but they are also finding their way into consumer products as well. Technical seminar topics for cse often explore the potential applications of smart fabrics and how they might be used in the future.

Voice Morphing

Voice morphing is the process of modifying a voice to sound like another person, or to modify the way your own voice sounds. This can be done for a variety of reasons, including entertainment, impersonation, and disguise. Voice morphing technology has come a long way in recent years, and it is now possible to create very realistic-sounding voice morphs.

Big Data Technology

Big data is a term that refers to the large volume of data that organizations generate on a daily basis. This data can come from a variety of sources, including social media, transactions, and sensor data. While big data has always been a part of our lives, it has only recently become possible to collect and analyze it on a large scale. This has led to a new field of data science, which is dedicated to understanding and extracting insights from big data

Ambiophonics

Ambiophonics is a method of sound reproduction that creates a more realistic and natural soundscape. It does this by using multiple speakers to create a three-dimensional sound field. This allows the listener to hear sounds as they would in real life, rather than from a single point in space. Ambiophonics can be used for both music and movies, and is becoming increasingly popular as a way to improve the sound quality of home theater systems.

Synchronous Optical Networking

Synchronous Optical Networking (SONET) is a standard for high-speed data transmission. It is used extensively in North America and Japan, and is slowly gaining popularity in Europe. SONET uses optical fiber to transmit data at speeds of up to 10 Gbps.

InfiniBand is a high-performance, scalable networking technology that is used in data centers and high-performance computing (HPC) environments. It offers low latency and high bandwidth, making it ideal for applications that require high levels of performance. InfiniBand is also designed to be scalable, so it can be used in small, medium, and large environments.

Packet Sniffers

A packet sniffer is a computer program or piece of hardware that can intercept and log traffic that passes through a network. Packet sniffers are often used by network administrators to troubleshoot network problems, but they can also be used by malicious actors to steal sensitive information. Technical seminar topics for cse usually include an overview of how packet sniffers work and how they can be used for both good and evil.

Cryptography Technology

Cryptography is the practice of secure communication in the presence of third parties. It is used in a variety of applications, including email, file sharing, and secure communications. Cryptography is a technical field, and there are a variety of seminar topics for cse students interested in learning more about it. These topics include the history of cryptography, the types of cryptography, and the applications of cryptography.

Humanoid Robot

A humanoid robot is a robot with a human-like appearance, typically including a head, two arms, and two legs. Humanoid robots are increasingly being developed for a variety of purposes, including assistance in the home, healthcare, and manufacturing. While many humanoid robots are still in the developmental stage, there are already a number of commercially available robots, such as the Honda ASIMO and the Boston Dynamics Atlas.

Humanoid robots are typically more expensive and complex than other types of robots, but they offer a number of advantages, including the ability to more easily interact with humans and navigate complex environments.

The X-Vision is a technical seminar for computer science students. It covers a wide range of topics, from the basics of computer programming to more advanced topics such as artificial intelligence and machine learning.

Bio-inspired Networking

Bio-inspired networking is a relatively new field of study that draws inspiration from biological systems to develop more efficient and effective networking solutions. The concepts of bio-inspired networking are being applied to a variety of different fields, including data networking, computer networking, and wireless networking.

By studying how biological systems communicate and interact, researchers are able to develop new protocols and algorithms that can be used to improve the efficiency of existing networks. Additionally, bio-inspired networking is being used to develop new types of networks that are more resilient to failure and better able to adapt to changing conditions.

BEOWULF Cluster

The BEOWULF Cluster is a type of computer cluster designed for high performance computing. It is named after the Old English epic poem Beowulf, which tells the story of a heroic warrior who defeats a monstrous creature. BEOWULF clusters are often used for scientific and engineering applications that require a lot of computing power, such as weather forecasting, climate modeling, and protein folding. Technical seminar topics for cse usually revolve around case studies of how certain organizations have utilized BEOWULF clusters to solve complex problems.

XML Encryption

XML encryption is a process of encoding data in XML format so that only authorized users can access it. This process is used to protect sensitive information from being accessed by unauthorized individuals. XML encryption is a relatively new technology, but it has already been adopted by a number of organizations as a way to protect their data.

Advanced Driver Assistance System (ADAS)

ADAS is a system that uses sensors and cameras to assist the driver in a variety of tasks, such as lane keeping, adaptive cruise control, and automated braking. The system is designed to make driving safer and more efficient by reducing the workload on the driver. ADAS is an important emerging technology, and its applications are expected to grow in the coming years.

Digital Scent Technology

Digital scent technology is a relatively new field that is constantly evolving. This type of technology allows for the creation of scents that can be stored in a digital format and then reproduced on demand. This technology has a wide range of potential applications, from creating customized perfumes to providing aromatherapy treatments. Digital scent technology is still in its early stages, but it has great potential to change the way we interact with scent.

Symbian Mobile Operating System

The Symbian mobile operating system was once one of the most popular platforms for smartphones. However, it has since been eclipsed by newer operating systems such as Android and iOS. Despite this, Symbian remains a popular choice for some users, particularly in emerging markets. If you’re interested in learning more about Symbian, this seminar topic is for you. In this cover the history of the platform, its key features, and its advantages and disadvantages compared to other mobile operating systems.

Mind-Reading Computer

A mind-reading computer is a computer that is able to interpret human thoughts and intentions. This technology is still in its early stages, but it has the potential to revolutionize the way we interact with computers. Currently, mind-reading computers are used mostly for research purposes, but they have also been used to help people with disabilities communicate. In the future, mind-reading computers could be used for a wide variety of applications, including personal assistants, security systems, and even lie detectors.

Distributed Interactive Virtual Environment

A distributed interactive virtual environment (DIVEn) is a type of virtual environment that is distributed across multiple computers. DIVEns are typically used for training, simulations, and gaming applications. Technical seminar topics for cse (computer science students) can include DIVEns and their applications.

Trustworthy Computing

Trustworthy Computing is a term coined by Microsoft to describe its commitment to building secure and reliable software. In practice, this means that Microsoft works to avoid security vulnerabilities in its products and services, and to quickly address any that do arise. Trustworthy Computing also includes efforts to protect user privacy and to ensure that users have control over their own data.

In order to achieve these goals, Microsoft employs a variety of technical and organizational measures. Technical measures include things like code signing, which verifies that code has not been tampered with, and sandboxing, which limits the damage that can be done by malicious code. Organizational measures include things like security audits and training for employees. By taking these measures, Microsoft seeks to ensure that its products and services are safe and reliable for users.

Teleportation

Teleportation is the theoretical transfer of matter or energy from one point to another without traversing the physical space between them. It is a common plot device in science fiction, and has been the subject of serious scientific research. While there is no known way to teleport matter, it is possible to teleport energy.

A MemTable is a data structure used by many database management systems (DBMS) to store recently committed data in memory. It is usually a hash table or a binary tree. When a transaction is committed, the data is first written to the MemTable before being written to disk. This allows for fast reads, as the data is already in memory. However, it also means that the data is lost if the system crashes before the data can be written to disk. For this reason, the data in a MemTable is often flushed to disk periodically.

Voice Browser

Voice browsers are software programs that enable users to access the World Wide Web using spoken commands. This technology is still in its early stages, but it has the potential to revolutionize the way we interact with the internet. Currently, most voice browsers are designed for use with mobile devices, such as smartphones. This allows users to surf the web hands-free, which can be especially useful for those with disabilities. In the future, voice browsers may become more widespread and sophisticated, offering features like voice-activated search and the ability to read web pages aloud.

Photonics Communications

Photonics Communications is a rapidly growing field that uses light to transmit information. This technology has a wide range of applications, from fiber optic cable to medical imaging. Photonics Communications is a relatively new field, and as such, there are many opportunities for research and development. Technical seminar topics for cse students may include an overview of the history and physics of photonics, as well as current and future applications.

Neural Interfacing

Neural interfacing is the process of connecting the nervous system to an external device. This can be done for a variety of reasons, including medical treatment, rehabilitation, and augmenting human abilities. Neural interfacing is a rapidly growing field, with new technologies being developed all the time. If you’re interested in neural interfacing, there are a number of resources available to learn more about the topic.

5g Wireless System

The 5G wireless system is the next generation of wireless technology. It is designed to provide higher speeds, lower latency, and more reliability than previous generations of wireless technology. 5G is still in the early stages of development, but it is already being tested in some areas. Technical seminar topics for cse students include an overview of the 5G wireless system, its potential applications, and the challenges involved in its deployment.

Wireless Fidelity

Wireless Fidelity, commonly known as Wi-Fi, is a wireless networking technology that allows devices to connect to the internet without the need for a physical connection. Wi-Fi is used in a variety of devices, including laptops, smartphones, and tablets. It has become increasingly popular in recent years as more and more devices are able to connect to the internet wirelessly. Technical seminar topics for cse students can include an overview of Wi-Fi technology, how it works, and its applications.

Artificial Intelligence

Artificial intelligence is a rapidly growing field with a wide range of applications. From self-driving cars to personal assistants, artificial intelligence is changing the way we live and work. CSE students can benefit from learning about artificial intelligence by understanding its potential applications and technical underpinnings.

Airborne Internet

Airborne Internet is a term used to describe the use of aircraft as platforms for providing Internet access. The concept is similar to that of using satellites to provide Internet access, but with the added benefit of being able to target specific areas with greater accuracy and without the need for expensive infrastructure. There are a number of companies working on developing this technology, and it has the potential to revolutionize the way we connect to the Internet.

Ipv6 – The Next Generation Protocol

IPv6 is the next generation of the Internet Protocol, designed to eventually replace IPv4. It has a number of advantages over IPv4, including a larger address space, better security, and improved efficiency. IPv6 is not backward compatible with IPv4, however, so a transition to the new protocol will require some changes to the way the Internet works.

Zigbee Technology

Zigbee is a wireless communication technology that allows devices to communicate with each other using low-power radio signals. Zigbee technology is used in a variety of applications, including home automation, security systems, and industrial control. Zigbee devices are often used in conjunction with other devices, such as sensors, to create a network of devices that can share data and perform tasks.

Finger Vein Recognition

Finger vein recognition is a type of biometric authentication that uses the unique patterns in a person’s finger veins to verify their identity. This technology is becoming increasingly popular in a variety of settings, from businesses to government agencies. Finger vein recognition is more accurate than traditional fingerprinting methods, and it is also more difficult to fake. If you are looking for a cutting-edge way to secure your information, finger vein recognition is a great option.

Chatbot for Business Organization

A chatbot is a computer program that simulates human conversation. Chatbots are used in business organizations to automate customer service or sales tasks. For example, a chatbot can help customers with questions about a product or service, or it can provide customer support. Chatbots can also be used to schedule appointments or make reservations.

Haptic Technology

Haptic technology is a branch of technology that deals with the sense of touch. It allows users to interact with digital information through the use of tactile feedback, or the sensation of touch. Haptic technology is used in a variety of applications, including gaming, virtual reality, and haptic interfaces.

DNS Tunneling

DNS tunneling is a technique used to encapsulate data in DNS queries and responses. This allows the data to be transported over an existing DNS infrastructure without being detected or blocked by firewalls. DNS tunneling can be used for a variety of purposes, including data exfiltration, command and control, and pivoting. DNS tunneling is a powerful tool that can be used for both good and evil. While it can be used to bypass firewalls and access blocked websites, it can also be used by attackers to steal sensitive data or take control of systems.

Brain Fingerprinting

Brain fingerprinting is a controversial technique that purports to be able to identify whether a person has knowledge of a particular event or not, based on their brainwaves. The technique is not widely accepted by the scientific community, and there is little empirical evidence to support its claims.

Computer Forensics

Computer forensics is the process of using investigative techniques to collect, analyze, and report on data that may be used as evidence in a legal case. This can include data stored on a computer, as well as data that has been deleted from a computer. Computer forensics is a relatively new field, and as such, there are many technical seminar topics for cse students that cover the topic in detail. These topics can include an overview of the field, as well as more specific topics such as data recovery, file analysis, and email forensics.

Intel Centrino Mobile Technology

Intel Centrino Mobile Technology is a platform that includes a processor, chipset, and wireless adapter designed to work together to provide the best possible mobile performance. The platform is designed for use in notebook computers and other mobile devices. It offers a number of benefits, including longer battery life, smaller form factor, and lower power consumption. Intel Centrino Mobile Technology is the perfect choice for mobile users who demand the best possible performance from their devices.

High Performance DSP Architectures

DSP architectures are critical for many applications including signal processing, communications, and audio/video processing. In this seminar topic, you can discuss various high performance DSP architectures and their applications. You can also explore the tradeoffs between different architecture choices.

Multiprotocol Label Switching

Multiprotocol Label Switching (MPLS) is a type of data-carrying technique for high-performance telecommunications networks. MPLS directs data from one network node to the next based on short path labels rather than long network addresses, avoiding complex lookups in a routing table. The labels identify virtual links between distant nodes rather than endpoints. MPLS can encapsulate packets of various network protocols, hence its name “multiprotocol”. In an MPLS network, data packets are assigned labels. Packet-forwarding decisions are made solely on the contents of this label, without the need to examine the packet header for routing information.

Cooperative Linux

Cooperative Linux is a free and open source software project that allows users to run Linux applications on Windows systems. It is based on the idea of co-operative multitasking, where each process is assigned a portion of the CPU time, and all processes are allowed to run concurrently. This makes it possible to run both Linux and Windows applications side-by-side, without the need for virtualization. Cooperative Linux is available for both 32-bit and 64-bit systems.

Real Time Application Interface

A real-time application interface (RAI) is a type of software that allows different applications to share data and resources in real time. This can be useful for a variety of purposes, such as allowing multiple applications to access the same database or allowing different applications to share data with each other. RAIs can be either proprietary or open source, and they can be used for a variety of different applications.

Tempest and Echelon

Tempest and Echelon are two of the most popular technical seminar topics for cse students. Tempest is a software engineering tool that automates the process of creating software prototypes. It is used to create high-fidelity prototypes of software applications. Echelon is a tool that helps developers to create efficient and scalable network applications. It is used to develop distributed systems.

Mobile Virtual Reality Service

Mobile virtual reality (VR) is a service that allows users to access VR content on their mobile devices. This includes both smartphone-based VR headsets and standalone VR headsets. Mobile VR has become increasingly popular in recent years, as it offers a more affordable and convenient VR experience than desktop VR. Technical seminar topics for cse students include an overview of mobile VR technology, its applications, and its potential future.

Word Sense Disambiguation

Word sense disambiguation is the process of determining which meaning of a word is being used in a particular context. This can be a difficult task for computers, as the same word can have multiple meanings depending on the context in which it is used. However, there are some techniques that can be used to help computers disambiguate words, such as looking at the surrounding words or using a database of known word meanings. Word sense disambiguation is an important task for natural language processing, as it can help computers to better understand the text they are processing.

Yii Framework

The Yii Framework is a high-performance PHP framework for developing Web applications. It is based on the Model-View-Controller (MVC) architectural pattern. The name “Yii” means “simple and evolutionary” in Chinese , and the goal of the Yii Framework is to make it easy for developers to create complex Web applications. The Yii Framework is popular among cse students, as it is a reliable and well-tested framework that is versatile and easy to use.

Microsoft HoloLens

Microsoft HoloLens is a headset that allows you to view and interact with holograms. HoloLens can be used for a variety of applications, including gaming, education, and business. HoloLens is a cutting-edge technology that is constantly evolving, making it an exciting and ever-changing field.

Handheld Computers

Handheld computers, also known as personal digital assistants (PDAs), are becoming increasingly popular. They offer many of the same features as a laptop computer, but are smaller and more portable. PDAs can be used for a variety of tasks, including keeping track of your schedule, storing contact information, and playing games. With the increasing popularity of PDAs, there is a growing market for PDA accessories, such as cases and chargers.

Sniffer for detecting lost mobiles

A sniffer is a type of software that can be used to detect lost mobiles. It works by scanning for and identifying wireless signals, then triangulating the position of the mobile based on the strength of the signal. This type of software can be very useful for finding lost or stolen phones, as well as for tracking down the source of interference.

Digital Audio Broadcasting

Digital Audio Broadcasting (DAB) is a digital radio technology used to broadcast radio programmes. It uses a wideband spectrum that allows for more channels to be broadcast than with analogue radio. DAB also provides higher quality sound than analogue radio, making it a popular choice for music lovers.

Mobile Phone Cloning

Mobile phone cloning is the process of copying the identity of one mobile phone to another. This can be done by copying the SIM card or by using software to copy the phone’s internal data. Cloning a phone allows someone to make calls and send texts as if they were the owner of the cloned phone. Cloned phones can be used to commit fraud or other crimes.

Near Field Communication NFC

Near Field Communication, or NFC, is a short-range wireless technology that allows devices to communicate with each other. NFC can be used for a variety of purposes, including making payments, sharing data, and connecting to devices. NFC is a relatively new technology, and as such, there is still much to learn about it. However, NFC is quickly becoming more popular, and is expected to have a major impact on the way we live and work.

IP Telephony

IP telephony, also known as VoIP (Voice over Internet Protocol), is a type of telecommunication that uses the Internet Protocol to place and receive telephone calls. IP telephony allows users to make and receive calls from any location with an Internet connection. In addition, IP telephony can offer a number of features and benefits that traditional telephone systems cannot, such as call forwarding, caller ID, and voicemail. IP telephony is a rapidly growing field, and many businesses are beginning to adopt it as a replacement for traditional telephone systems.

Transient Stability Assessment using Neural Networks

Transient stability assessment is a critical part of power system planning and operation. Conventional methods for performing this assessment, such as the direct method and the energy function method, can be time-consuming and computationally intensive. Neural networks offer a promising alternative, as they can learn from data and perform classification and regression tasks with high accuracy. In this seminar, you can discuss the use of neural networks for transient stability assessment, and compare their performance to traditional methods. You can also discuss some of the challenges associated with using neural networks for this application.

Broad Band Over Power Line

Broadband over power line (BPL) is a technology that allows high-speed Internet access using the existing electrical grid. BPL is sometimes also referred to as power line communications (PLC). BPL technology has the potential to provide high-speed Internet access to homes and businesses in rural and suburban areas that do not have access to traditional broadband technologies such as cable or DSL. BPL technology is still in the early stages of development, and there are a number of technical challenges that need to be addressed before it can be widely deployed.

Wardriving is the act of searching for Wi-Fi networks in a moving vehicle, using a laptop or other mobile device. The term comes from the analogy to war driving, in which a battlefield is scanned for enemy activity. Wardriving is commonly used to find open wireless access points for the purpose of free Internet access, or to audit the security of one’s own wireless network. However, it can also be used for malicious purposes, such as stealing confidential information or launching denial-of-service attacks.

Smart Skin for Machine Handling

Smart skin is a type of technology that allows machines to handle objects more gently and safely. This is achieved by using sensors to detect the shape, size, and weight of an object, and then adjust the machine’s grip accordingly. This technology has a wide range of potential applications, from manufacturing to healthcare. It can help reduce workplace injuries, improve efficiency, and enable delicate objects to be handled with care.

Unicode And Multilingual Computing

Unicode is a standard for encoding characters that is used by most computer systems. It allows for the representation of characters from a variety of languages, making it an essential tool for multilingual computing. In this seminar you can cover the basics of Unicode, including its history, how it works, and its applications. In addition, you can also discuss some of the challenges involved in working with Unicode data, as well as some tips and tricks for dealing with these challenges.

3D Human Sensing

3D human sensing is a rapidly growing field with a wide range of potential applications. This technology allows for the capture of three-dimensional images of people, which can then be used for a variety of purposes such as security, biometrics, and even gaming. 3D human sensing is still in its early stages of development, but it has already shown great promise and is sure to have a major impact in the years to come.

Wireless Sensor Networks

A wireless sensor network (WSN) is a type of network that consists of spatially distributed autonomous sensors to monitor physical or environmental conditions, such as temperature, sound, vibration, pressure, motion or pollutants. Wireless sensor networks are often used in industrial and military applications where it would be expensive or impossible to lay down a wired network.

Hyper-Threading technology

Hyper-Threading is a technology used by some Intel processors that allows a single physical processor to appear as two logical processors to the operating system. This can improve the performance of certain types of applications, but it can also lead to stability issues. If you’re considering using Hyper-Threading on your computer, it’s important to understand both the benefits and the risks before making a decision.

Goal-line technology

Goal-line technology is a system used in football to determine whether a shot has crossed the goal line and should be counted as a goal. The technology is typically a sensor-based system that uses cameras or lasers to track the ball’s position and relay the information to a computer, which then determines whether the ball has crossed the line. Goal-line technology is used to supplement the referee’s decision-making, and is not intended to replace the referee.

Smart Textiles

Smart textiles are fabrics that have been designed to incorporate technology into their structure. This can include everything from conductive threads that can be used to create circuits, to sensors that can detect changes in temperature or humidity. Smart textiles are still a relatively new technology, but they have a wide range of potential applications. For example, they could be used in medical garments to monitor patients’ vital signs, or in military clothing to help soldiers stay aware of their surroundings. With the rapid advancement of technology, it is likely that smart textiles will become increasingly common in the years to come.

Nanorobotics

Nanorobotics is the technology of creating robots at the nanometer scale. Nanorobots are robots that are between 1 and 100 nanometers in size. This technology is still in its early stages, but has the potential to revolutionize many industries. Nanorobots could be used in medicine to target specific cells or diseases, in manufacturing to create products with incredible precision, or in environmental cleanup to remove pollutants from water or soil. The potential applications of nanorobotics are vast, and the technology is still being developed.

Design of 2-D Filters using a Parallel Processor Architecture

Design of 2-D Filters using a Parallel Processor Architecture is a technical seminar topic for cse students. This topic covers the design and implementation of 2-D filters using a parallel processor architecture. In this seminar you can cover the theory behind the design of 2-D filters, as well as the practical aspects of implementing them on a parallel processor.

Digital Preservation

Digital preservation is the process of ensuring that digital information and media remain accessible and usable over time. This can be done through a variety of means, such as migration (transferring data to new formats as old ones become obsolete), emulation (recreating an environment in which digital information can be used), and format standardization (ensuring that digital information can be read by different software programs). Digital preservation is an important part of maintaining our cultural heritage and ensuring that future generations can access and use the information and media we create today.

DNA Storage

DNA storage is a new and exciting field of research that holds tremendous potential for the future. By harnessing the power of DNA, we may one day be able to store massive amounts of data in a very small space. This could have a huge impact on the way we store and access information. Additionally, DNA storage is not susceptible to the same problems as traditional methods, such as data loss due to corruption or physical damage. For these reasons, DNA storage is a very promising technology with a bright future.

Network Attached Storage

Network Attached Storage, or NAS, is a type of storage device that connects to a network and provides shared storage for computers on that network. NAS devices are often used in small and medium-sized businesses, as they offer an affordable and easy-to-use solution for storing and sharing data. However, NAS devices can also be used in home networks. In this seminar, you can discuss some of the benefits of using a NAS device, as well as some of the different types of NAS devices available.

Enhancing LAN Using Cryptography and Other Modules

In this technical seminar, you can discuss how to enhance LAN using cryptography and other modules. In this you can cover the following topics:

-What is cryptography and how can it be used to improve LAN security?

-What are some other modules that can be used to enhance LAN security?

-How can these modules be implemented?

Reconfigurable computing

Reconfigurable computing is a rapidly growing field that offers the potential for significant performance gains over traditional CPUs. However, it can be difficult to know where to start when exploring reconfigurable computing. In this seminar you can provide an overview of the basics of reconfigurable computing, including its history, key concepts, and applications.

Thermography

Thermography is a technique that uses infrared radiation to create images of objects. It can be used for a variety of purposes, including detecting leaks in insulation, finding hot spots in electrical equipment, and even seeing through smoke and fog. Thermography is a valuable tool for many industries.

Nano Cars Into The Robotics

The rapid development of nanotechnology is opening up new possibilities for the development of nano cars. Nano cars are cars that are built at the nanometer scale, using nanotechnology. This allows for the creation of cars that are much smaller and more efficient than traditional cars. Nano cars also have the potential to be used in robotics, as they are able to navigate through tight spaces and avoid obstacles. The use of nano cars in robotics is still in its early stages, but the potential applications are exciting.

The DNA chips

DNA chips are a type of microarray that can be used to measure the expression levels of thousands of genes simultaneously. They are often used in genetic studies to identify genes that are differentially expressed in different conditions or diseases. t.

Prototype System Design for Telemedicine

A telemedicine system must be designed to allow a patient to consult with a doctor or other medical professional from a remote location. The system must be able to provide two-way audio and video communication, as well as allow for the exchange of medical data such as test results and X-rays. In addition, the system must be secure to protect the privacy of patient information.

Virtual Smart Phone

Virtual smart phones are an emerging technology that allows users to interact with their phone using a virtual interface. This technology has a number of potential applications, including allowing users to more easily access their phone’s features and providing a more immersive gaming experience. Virtual smart phones are still in the early stages of development, but they have the potential to revolutionize the way we use our phones.

Sandbox (computer security)

A sandbox is a security mechanism for separating running programs. It is often used to execute untested code, or untrusted programs from untrusted sources. A sandbox typically provides a tightly controlled environment where code can be executed. This is done by restricting the resources that code can access, such as file system calls or network access.

Biometrics Based Authentication

Biometrics-based authentication is a method of verifying a user’s identity by using physical or behavioral characteristics that are unique to that individual. This can include things like fingerprints, iris scans, voice recognition, and facial recognition. Biometrics-based authentication is more secure than traditional methods like passwords and PIN numbers, because it is much harder for someone to spoof or fake a biometric characteristic. This makes biometrics-based authentication an ideal solution for high-security applications like military and government use.

Optical Computer

Optical computers use light instead of electricity to process information. They are faster and more efficient than traditional computers, and they generate less heat. Optical computers are still in the early stages of development, but they have the potential to revolutionize computing.

M-Commerce, or mobile commerce, is the buying and selling of goods and services through mobile devices such as smartphones and tablets. M-Commerce has seen explosive growth in recent years, as more and more consumers use their mobile devices to shop online. This trend is only expected to continue, as mobile devices become increasingly omnipresent.

M-Commerce offers many advantages over traditional e-Commerce, including the ability to make purchases anywhere, anytime. For businesses, m-Commerce provides a new avenue for reaching and interacting with customers. As m-Commerce continues to grow, businesses will need to adapt their strategies to take advantage of this new platform.

E-Paper Technology

E-Paper technology is an exciting new development that is revolutionizing the way we read and interact with digital information. This technology allows for a wide range of applications, from e-books and e-newspapers to interactive displays and signage.

E-Paper has many advantages over traditional LCD screens, including better readability in direct sunlight and lower power consumption. E-Paper is also flexible and can be made into a variety of shapes and sizes. This makes it ideal for a wide range of applications, from wearable devices to large-scale public displays.

Web Scraping

Web scraping is a process of extracting data from websites. It can be done manually, but it is often automated using software. Web scraping can be used to collect data for a wide variety of purposes, including market research, price comparison, and data analysis.

Bluetooth Based Smart Sensor Networks

Bluetooth based smart sensor networks are becoming increasingly popular as a way to collect data and monitor activity in a variety of settings. These networks consist of small, wireless sensors that communicate with each other and with a central computer using Bluetooth technology. Smart sensor networks have a wide range of potential applications, including monitoring environmental conditions, tracking the movement of people or objects, and providing security for homes and businesses.

Smart Dustbins for Smart Cities

Smart dustbins are an important part of smart city infrastructure. By collecting and sorting waste, they help to keep cities clean and efficient. Additionally, smart dustbins can provide data that can be used to improve city planning and resource allocation. Technical seminar topics for cse students can include smart dustbin technology and its applications in smart cities.

Modular Computing

Modular computing is a type of computing where components are interchangeable and can be used to create different systems. This type of computing is often used in large organizations where different departments may need different types of systems. For example, a company’s accounting department may need a different type of system than the company’s marketing department. Modular computing allows for this flexibility by allowing companies to mix and match components to create the perfect system for each department.

3d Optical Data Storage

3D optical data storage is a new technology that allows data to be stored on a three-dimensional (3D) surface. This technology has the potential to increase storage capacity by orders of magnitude over existing technologies. 3D optical data storage is still in the early stages of development, but it has already shown promise for applications such as high-definition video and medical imaging.

Robotic Surgery

Robotic surgery is a type of minimally invasive surgery that uses a robot to assist the surgeon. The surgeon controls the robot, which allows for more precise movements and smaller incisions. This results in less pain and scarring for the patient. Robotic surgery is used for a variety of procedures, including heart surgery, cancer surgery, and gynecologic surgery.

Digital Jewelry

Digital jewelry is a type of jewelry that uses digital technology to create or enhance the design. It can be anything from a simple pendant with a photo inside to a complex piece of jewelry with multiple colors and patterns.

The Flexpad is a new type of computer that is flexible and can be used in a variety of ways. It is a great choice for those who want a versatile computer that can be used for a variety of purposes. The Flexpad is also a great choice for those who are looking for a computer that is easy to use and is very user-friendly.

Web Clustering Engines

Web clustering is a process of grouping together web pages that are similar in content. This can be useful for a variety of purposes, such as finding similar pages for a search query or identifying pages that are part of the same topic. There are a number of different algorithms that can be used for web clustering, and each has its own strengths and weaknesses. The choice of algorithm will often depend on the specific application.

Wireless USB

Wireless USB is a technology that allows devices to connect to each other using a wireless connection. This can be useful for a variety of purposes, such as connecting a printer to a computer or connecting a camera to a computer. Wireless USB is a relatively new technology, and it is not yet widely available. However, it has the potential to be very useful for a variety of applications.

Elastic Quotas

Elastic Quotas are a type of quota that allows a user to go over their allotted amount of resources, but are charged for the excess usage. This is different from a traditional quota, which would simply deny the user access to the resource once they reach their limit. Elastic Quotas are often used in cloud computing, where users may not know in advance how much resources they will need.

A bionic eye is an artificial eye that is powered by a battery. It is usually connected to the optic nerve, which sends signals from the eye to the brain. The bionic eye can be used to restore vision to people who are blind or have low vision. There are two types of bionic eyes: retinal implants and corneal implants. Retinal implants are placed under the retina, while corneal implants are placed in front of the retina. Retinal implants are more common and provide better vision than corneal implants.

Zenoss Core

Zenoss Core is a free and open source monitoring tool designed for large-scale enterprise environments. It provides comprehensive monitoring of network, server, and application performance, as well as configuration management and change detection. Zenoss Core is built on a robust and extensible architecture that allows for easy integration with third-party tools and customizations. As a result, it is an ideal solution for organizations looking for a flexible and scalable monitoring solution.

Quadrics Interconnection Network

A quadrics interconnection network is a type of computer network that uses a quadrics mesh to connect nodes. It is a high-performance network that is often used in supercomputing applications. Quadrics networks are designed to be scalable, so they can be used in small networks or large networks with thousands of nodes.

Compute Unified Device Architecture CUDA

CUDA is a parallel computing platform and programming model developed by Nvidia for general computing on its own line of GPUs. CUDA enables developers to speed up compute-intensive applications by harnessing the power of GPUs for the parallelizable part of the computation. The CUDA platform is a software layer that gives direct access to the GPU’s virtual instruction set and memory.

This allows programmers to execute computationally intensive tasks in C, C++, Fortran, and other languages that are supported by Nvidia’s compilers. In addition, CUDA comes with a set of libraries for linear algebra, signal processing, and other common applications.

Quantum Cryptography

Quantum cryptography is a relatively new field of study that uses the principles of quantum mechanics to create more secure methods of communication. This type of cryptography is often used in cases where traditional methods are not secure enough, such as when transmitting sensitive information between two parties. Quantum cryptography is still in the early stages of development, but it has the potential to revolutionize the way we communicate by making it impossible for eavesdroppers to intercept and read our messages.

The Cyborgs

A cyborg, short for “cybernetic organism”, is a being with both organic and artificial parts. The term was coined in 1960 by Manfred Clynes and Nathan S. Kline, who wrote about the potential advantages of creating human-machine hybrids for space exploration. In recent years, the term has come to be associated with the growing trend of humans using technology to enhance their physical and cognitive abilities. This can include everything from wearing fitness tracking devices to using brain implants to improve memory or vision. As technology continues to advance, it is likely that the number of people who identify as cyborgs will only grow.

Crusoe Processor

Crusoe is a type of microprocessor designed by Transmeta Corporation. It was first introduced in 2000. Crusoe processors are designed for low power consumption and are used in a variety of portable devices such as laptops, PDAs, and digital cameras. Crusoe processors are also used in some servers and high-end embedded systems.

Seam Carving for Media Retargeting

Seam carving is a technique for content-aware image resizing. Developed by Shai Avidan and Ariel Shamir, it allows users to remove or add pixels from an image while preserving the overall content. This makes it ideal for media retargeting, as it allows for the removal of unnecessary or unwanted elements from an image. Seam carving is a relatively new technique, but it has already been used in a variety of applications, including video retargeting and 3D model simplification.

Fluorescent Multi-layer Disc

A fluorescent multi-layer disc (FMLD) is a type of optical disc that uses multiple layers of fluorescence to store data.FMLDs are similar to other optical discs, such as CDs and DVDs, but they can store more data because of their multiple layers.FMLDs are often used for storing data backups, as they can store a large amount of data in a small space.

Holograph Technology

Holography is a technique that allows an image to be recorded in three dimensions. This technology has a wide range of applications, from security and authentication to medical imaging and data storage. Holography can be used to create 3D images of objects, which can then be viewed from different angles. This technology has the potential to revolutionize many industries, and it is only now beginning to be explored.

TCPA / Palladium

The Telecommunication Protection and Accessory Palladium Act (TCPA) is a set of regulations enacted by the Federal Communications Commission (FCC) in the United States that govern the use of telephone equipment and services. The TCPA includes provisions that protect consumers from unwanted telemarketing calls, as well as other unsolicited communications. It also requires that telecommunication equipment be accessible to people with disabilities.

Optical Burst Switching

Optical burst switching (OBS) is a type of optical switching in which data is transferred in bursts instead of in a continuous stream. OBS is similar to packet switching, but it uses shorter bursts of data and can therefore achieve higher speeds. OBS is also more efficient than traditional optical switching because it only transfers data when there is a burst of traffic, rather than continuously.

Ubiquitous Networking

Ubiquitous networking is a term used to describe the trend of ever-increasing connectivity. With the proliferation of mobile devices and the internet of things, more and more devices are connected to the internet. This has a number of implications for both individuals and businesses. On an individual level, ubiquitous networking makes it easier to stay connected to friends and family. It also makes it easier to access information and services. For businesses, ubiquitous networking provides new opportunities for marketing and customer engagement. It also creates new challenges in terms of data security and privacy.

NFC and Future

NFC, or Near Field Communication, is a technology that allows devices to communicate with each other when they are close together. NFC can be used for a variety of purposes, including making payments, exchanging data, and connecting to devices. NFC is already being used in many smartphones and is expected to become more widespread in the future. Technical seminar topics for cse students may include NFC and its potential applications.

Cloud Drops

Cloud Drops is a technical seminar topic for computer science students interested in learning about the latest advancements in cloud computing. In this seminar you can cover topics such as cloud architecture, cloud security, and cloud services.

Electronic paper

Electronic paper is a type of paper that can be used in electronic devices such as computers, tablets, and phones. This paper is made from a material that is similar to regular paper, but it is coated with a substance that allows it to be electrically charged. This paper can be used to display information in a variety of colors, making it a versatile tool for both personal and professional use.

Conclusion on seminar topics for computer science

The cse technical seminar topics presented in this article are very useful for students who want to improve their understanding of the subject. These topics will help them gain a better understanding of the concepts and principles involved in cse. Additionally, they can use these topics to prepare for exams and interviews as well.

You may also like to read

Final year projects for computer science

 Computer Science

499 seminar topics for computer science and engineering (cse) 2024.

This list contains a collection of new technical topics with abstracts ranging from various technical topics accompanied by reports for Computer Science and Engineering ( CSE ), Information Technology ( IT ), BCA and MCA. We have carefully selected these topics based on the latest technology trends in Computer Science, Cloud Computing, Software Engineering, AI, Chat GPT, Data Mining, and Data Science. This is an updated list of more than 499 Seminar Topics to suit all Computer Science Students, which you can find under various categories. This list is regularly updated for the current academic year 2024. Related article: Top 100 topics for CSE Seminar

499 Seminar Topics for Computer Science Engineering (2024)

On this page, you can find the following:

• AI – Artificial Intelligence ✅
• Cloud-Computing-DevOps ✅
• Programming Languages (new computer languages) ✅
• Databases (Innovations and inventions) ✅
• Trending Tech Topics for CSE ✅
• Single Board Computers (SBC) and Internet of Things(IoT) ✅
• Augmented Reality ✅
• Computer Science / Information Technology Topics from previous years ✅

To shortlist your seminar topics, consider clear criteria based on your needs. Research for additional relevant information, analyze and evaluate the topic. Consider personal preferences and seek advice or opinions from trusted sources.

AI Seminar Topics – Data Science, Data Mining, Machine Learning, NLP.

Data mining is the process of extracting patterns from data. Data mining is becoming increasingly essential to transforming this data into information. It is commonly used in many profiling practices, such as marketing, surveillance, fraud detection, and scientific discovery.

AI, or artificial intelligence , is a field of computer science focused on creating intelligent systems that can perceive, reason, learn, and make decisions in a way similar to human intelligence. Here is a list of AI-related technologies:

• [ Also check >>> AI Seminar Topics 2024 🔥]
• Artificial General Intelligence (AGI) 🔥
• Chat GPT / OpenAI Chat GPT Technology (with PDF)🔥
• Chat GPT RLHF AI 🔥
• Generative AI 🔥
• Artificial Intelligence Robotics in Agriculture 🔥
• AI OPS Artificial Intelligence for IT Operations 🔥
• AI & Robotics
• Use of AI on Mars
• Generative Adversarial Networks (GANs)
• Chat GPT and Accounting
• How does Chat GPT work?
• OpenAI Chat GPT-3 Report-2
• Chat GPT-3 API an introduction
• Computer Vision (CV) in AI
• Data Mining System
• Data Analytics
• Machine learning algorithms for time-series data
• Artificial Intelligence in Electronics
• Internet of Things (IoT)
• Cybersecurity
• Internet Security
• Intrusion Detection System (IDS)
• Natural Language Processing(NLP)
• Google Cloud Natural Language API
• Artificial Intelligence
• Prescriptive Analytics
• Data Scraping
• Artificial Intelligence and Machine Learning
• AI and Machine Learning in Manufacturing
• Data Mining and Educational data mining
• Python – Data Mining using Python
• Python – Python in Machine Learning
• Python – Python Libraries for Data Science
• Big Data To Avoid Weather-Related Flight Delays
• Data Mining In Health Care
• Colab – Google Colaboratory is a cloud-based Jupyter Notebook environment that allows you to create and collaborate on code projects.
• FREE website for your seminar or project in 60 seconds !
• Blockchain Technology – Blockchain technology is a distributed database that stores data securely and transparently. The data is distributed across a network of computers, and each laptop verifies the information before it is added to the database. This makes it very difficult for anyone to tamper with the data.
• Educational data mining
• Business intelligence predictive Analytics – Predictive analytics can predict future events. This type of analytics can be used to forecast future sales, customer behaviour, or trends.
• Open-source Data Mining and Open Data visualisation
• Web Analytics / Search Engine Analytics solution
• Data Mining marketing – Data mining is extracting valuable information from large data sets. Businesses can gain insights into customers, sales, and marketing using data mining techniques.
• Data Mining in Search Engine Analytics
• YouTube Algorithm
• Google Computer vision
• Robotic Process Automation (RPA)
• Mesh Networking
• Software-Defined Networking
• AWX Technology
• Chrome V8 WebAssembly Engine
• Optimal Jamming Attack
• AI Powered Environmental Sensors
• NASA Laser Broadband Communication Technology
• Artificial Intelligence on Single Board Computer (AI on SBC)
• 10 Books on AI (Artificial Intelligence)
• How to use ChatGPT to learn Programming?
• 100+ Artificial Intelligence Seminar Topics For Students
• Integration of Artificial Intelligence With A Range of Technologies

More Artificial Intelligence-related seminar topics: AI Seminar Topics

Data Mining Seminar topics list => Data Mining, Data Analytics, Big data, Predictive Analytics topics

Data Science Seminar Topics Collection

Cloud Computing / DevOps Related Topics

DevOps is a term for concepts that, while not all new, have catalyzed into a movement and are rapidly spreading throughout the technical community. The term DevOps is derived from software development and IT operations.

• 28 Topics for Cyber Security Seminar
• Cloud Computing and DevOps
• Istio Service Mesh
• Helidon Technology
• DevOps – Seminar report – The field of DevOps is rapidly evolving, and it can be challenging to keep up with the latest trends and best practices. This article will explore some of the most popular DevOps tools and techniques and help you decide which ones are right for your organization.
• Cloud Computing Case Study
• What is Cloud Computing
• Cloud DevOps
• Advantages-of-Docker
• Disadvantages of Docker
• Kubernetes Technology —Kubernetes is an open-source system for managing containerized applications across multiple hosts. It provides basic mechanisms for deploying, maintaining, and scaling applications.
• Apache SkyWalking
• Apache Airflow
• DevOps Engineering – A Software Development Method
• Google Cloud Messaging (GCM) Technology – Push notifications Android,
• FOG Computing / EDGE Computing
• Ceph storage platform for OpenStack Cloud
• nCrypted Cloud
• Open Source Cloud Linux Virtual Server
• Azure Service Bus (Cloud-Based Messaging System)
• Google Colab
• Cloudflare to secure your website
• DDOS Attack
• Matillion Technology

Space Science + Computer Science

• Additive Manufacturing in Space
• Uses of AI on Mars
• Computer Numerical Control (CNC)

Virtual Reality and Augmented Reality

• Cyber Security
• Fleet Management Software Development
• Space Debris and Environmental Concerns in Orbit
• The Space Launch System (SLS)
• The Future of Space Exploration
• >>>> 50+ Seminar Topics on Space Science Technology

New Programming languages, Frameworks, and innovations

• Carbon Programming Language (from Google)
• Rust Programming Language
• Python Programming Language
• Ur Programming Language
• Shading Language
• Etch programming language

Database-related seminar topics for CSE/IT engineering.

• IoTDB (Database for Internet of Things)
• DocumentDB Technology
• Database Security issues and challenges
• Cassandra Database
• Apache GeoDe database
• Security Threats in DBMS

Trending tech topics

• Space Science Technology Seminar Topics
• Renewable Energy Sources
• Rooftop Solar Power
• Metaverse Metaverse is a place of endless possibilities. Join us as we explore the Metaverse and discover all it offers.
• Face Liveness Detection
• Milagro Crypto Libraries – In the world of cryptography, many different libraries are available to developers. Milagro is one such library that offers a wide range of cryptographic algorithms and functions.
• Metasearch engine technology – Metasearch engines are a type of search engine that use other search engines’ results as their primary data source.
• Bluejacking
• Raspberry Pi Technology (updated)
• Arduino Uno [ for your Project ]
• Natural Language Personal Assistant – If you’ve ever wanted a personal assistant to help with your daily tasks, you’re in luck. Natural language personal assistants are becoming increasingly popular, and there are many to choose from. Introducing you to some of the best natural language personal assistants available today.
• Atom Thick CCD
• Maximite Microcomputer
• Ambient security expert systems
• MANET – Mobile Adhoc Network
• Using Analytics To Optimize Cloud Computing Performance And Cost Savings
• zSpace Virtual Reality for Desktop
• OpenGL for Embedded Systems (API).
• Mirror Link
• Chrominance
• Alpha Composting
• Chroma Key Compositing
• Quantum computing
• Chromecast technology
• OpenDayLight for Software Defined Networking (SDN Virtualization Technology)
• Swarm Robots Called Droplets, Robotic Engineering / Mechatronics Topic
• Motioneye OS
• Sailfish OS (Mobile operating system)
• Threatexchange, an API platform for Organizations to collaborate and secure IT
• Hadoop Technology (Apache Hadoop)
• Google Self-Driving Car Technology
• Two-Factor Authentication – 2FA – Authentication is the process of verifying the identity of a user. Two-factor authentication (2FA) is an additional layer of security that requires not only a password and username but also something the user has on hand, like a fingerprint, retina scan, or an authentication code.
• Two-Factor Authentication Seminar report
• Pressure Sensitive iPhone
• DAAS From VMware
• Communication With Imperfectly Shared Randomness
• Office Graph
• Google Cardboard Virtual Reality Technology
• Resistive RAM
• Software-Defined Radio
• Germanium-Tin Laser to replace copper wire for data transfer (an IEEE paper)
• Computer Clothing / wearable technology

Single Board Computers & Internet of Things – SBC & IoT

Single Board Computers (SBC) and Internet of Things (IoT) Related Topics and Ideas

Also, find more related topics in the Internet of Things and Single Board Computers sections.

• ThingsBoard
• EDGE Computing in IoT
• Raspberry Pi Technology
• Motion Eye OS
• Arduino Uno
• ARM-Based Embedded Web Server
• Universal Software Radio Peripheral
• Raspberry Pi projects for beginners
• Internet of Things(IoT)
• 28 Internet of Things Seminar Topics

Augmented Reality

Augmented Reality (AR) is a technology that overlays digital information onto the physical world through a smartphone or AR headset, enhancing the user’s perception of their surroundings.

Augmented Reality Seminar Report

Google AR 3D Animals

Metaverse Technology

Mixed Reality

Collection of technology topic lists for CSE

• Collegelib’s largest ever trending Seminar topic ideas: 499 Topics for Seminar. Computer science engineering seminar topics
• 1000 Computer Science Seminar Topics – https://www.collegelib.com/1000-computer-science-seminar-topics/
• Previous year Seminar topics, abstracts and reports – CSE Seminar Topics of earlier years
• Computer Engineering Project ideas: https://www.collegelib.com/499-project-topics-for-cse-list-4/

Previous Years Seminar Topics Collection (Computer Science Engineering)

CSE Seminar Topics with Abstracts Part 2 CSE Seminar Topics with Abstracts Part 3

2019 :100 Seminar topic suggestions for CSE [August 2019] 2019 :Latest Technology topic list for CSE 2019 :CSE Seminar topics 2019, Collection of latest top 100 latest Computer technologies [July 2019] 2019 :100 Seminar topics for Computer Science (Selected latest topic list 2019) 2019 :Seminar Topics CSE. Latest technology topics for Computer Science 2019 2019 :Technical Seminar topics ideas 2019 (Computer Science and Engineering) 2019 :Trending Computer Science Seminar topics List 2019 (CSE Topics) 2019 :Upcoming Computer Science Seminar topics List 2019 2019 : Seminar topics updated list For 2019 2019 : Computer Seminar Topics Comupter Science 2019 2018 : Seminar Topics Comupter Science 2018 2018 : Latest Seminar topics for Computer Science Engineering(CSE 2018) 2015 : Computer Science Engineering Latest 2015 (CSE NEW Topics) 2014 : Computer Science Seminar Topics (CSE Latest Technical Topics) 2014: Latest CSE/IT Technologies 2013(a) , 2013(b) , 2012 , 2011(a) , 2011(b) , 2010

7 Strategies to Find Topics and Choose the Best One

Collegelib.com prepared and published this curated list of Computer Science and Engineering Seminar Topics with abstracts for CSE seminars ( Seminar Topics for Computer Science ). Before presenting, you should do your research in addition to this information. Please include Reference: Collegelib.com and link back to Collegelib in your work.

Note : This document is revised frequently to keep up with the current CSE seminar topic list.

CSE Seminar Topics

• CSE Technology Topics with Abstracts
• 1000 Topic ideas for CSE Seminars
• Bluejacking Seminar Abstract
• 499 Topics ideas for CSE with Abstract
• Top 100 Seminar Topics (CSE)
• HTMX Framework
• 71 Topics for CSE seminar topics

Latest Updates

• 28 Cyber Security 🚨 Project Topics For The Final Year Students (2024) (today)
• 1000 Computer Science and Engineering Seminar Topics (today)
• 10 Network Security 🚨 Project Topics For Final Year Students (today)
• 499 Seminar Topics for Civil Engineering 2024, PART-1 (today)
• 499 Project Topics for Computer Science and Engineering (CSE) List 1 (2024) (today)
• 21 Innovative Project Ideas for Students [2024] (today)
• Artificial Intelligence: Friend or Foe – 2-Minute Speech (today)
• What is the role of Philanthropy in our society?
• 2-minute Speech on English Language Day, 21 Topic Ideas, 14 Quotes.
• 2-Minute Speech on World Creativity and Innovation Day
• 2-Minute Speech on World Health Day + Some Lines on World Health Day
• ChatGPT and Conversational Artificial Intelligence Friend Foe or Future of Research
• Scrabble high-scoring words
• Modern Life in the Shadow of Artificial Intelligence

25,000+ students realised their study abroad dream with us. Take the first step today

Here’s your new year gift, one app for all your, study abroad needs, start your journey, track your progress, grow with the community and so much more.

Verification Code

An OTP has been sent to your registered mobile no. Please verify

Thanks for your comment !

Our team will review it before it's shown to our readers.

• Computer Science /

600+ Seminar Topics for CSE

• Updated on  
• Nov 16, 2022

One of the most popular types of engineering , Computer Science Engineering (CSE) imparts extensive knowledge related to computing programs and hardware frameworks. Apart from equipping you with the fundamental principles of computer programming and networking through the diverse Computer Science Engineering syllabus , universities across the world also conduct seminars to familiarise you with the latest technological happenings. So, here is a blog that lists down some of the most important Seminar Topics for CSE!

This Blog Includes:

600+ popular seminar topics for cse 2023, mobile computing and its applications , rover mission using java technology, pill camera in medicine , postulates of human-computer interface, software testing, it in space, interconnection of computer networks, random number generators, hamming cut matching algorithm, cryptocurrency, smart textiles, voice morphing, wireless usb, zigbee technology, fog computing, crypto watermarking, ip address spoofing, list of seminar topics for computer science, technical seminar topics for cse with abstract, top universities for cse.

Popular Seminar Topics for CSE 2023 are listed below:

1. Screenless Display 2. Li-Fi Technology 3. Microprocessor and Microcontrollers 4. Silverlight 5. Green Computing 6. MANET 7. Facility Layout Design through Genetic Algorithm 8. Tamper Resistance 9. iSCSI 10. Wireless Networked Digital Devices 11. 3G-vs-WiFi Interferometric Modulator (IMOD) 12. Free Space Laser Communications 13. Virtual Instrumentation 14. Direct Memory Access 15. Smart Note Taker 16. Computational Intelligence in Wireless Sensor Networks 17. Fog Computing 18. Python Libraries for Data Science

19. Software Reuse 20. Google Project Loon 21. Object-Oriented Programming using Python/ Java/ C++ 22. Dynamic Synchronous Transfer Mode 23. Cellular Neural Network 24. Li-Fi and MiFi 25. Jini Technology 26. Quantum Information Technology 27. GSM 28. Delay Tolerant Networking 29. Brain Chips 30. Graphics Processing Unit (GPU) 31. Predictive Analysis 32. Cisco IOS Firewall 33. EyePhone 34. Keil C 35. Industrial Applications through Neural Networks 36. Helium Drives 37. Millipede 38. Holographic Memory 39. Autonomic Computing 40. Google Glass 41. Domain Name System(DSN) 42. VESIT Library – Android Application 43. Blockchain Technology 44. Dynamic Memory Allocation 45. TCP/ IP 46. Internet of Things 47. Internet Telephony Policy in India 48. Smart Cards 49. Night Vision Technology 50. Voice Portals 51. Smart Dust 52. DOS Attack 53. Futex 54. Pervasive Computing 55. Speed protocol processors 56. iTwin 57. Clockless Chip 58. Rain Technology Architecture 59. Code Division Duplexing 60. Biometrics in SECURE e-transaction 61. Network Topology 62. Augmented Reality vs Virtual Reality 63. DNA-Based Computing 64. Bio-metrics 65. Transactional Memory 66. Number Portability 67. VoiceXML 68. Prescription Eyeglasses 69. Lamp Technology

70. Eye Gaze Communication System 71. MRAMs and SMRs 72. Cyberbullying Detection 73. Facebook timeline 74. IDMA 75. Virtual LAN Technology 76. Global Wireless E-Voting 77. Smart Fabrics 78. Voice Morphing 79. Data Security in Local Network 80. Big Data Technology 81. Probability Statistics and Numerical Techniques 82. RAID 83. Ambiophonics 84. Digital Video Editing 85. Synchronous Optical Networking 86. Layer 3 Switching 87. InfiniBand 88. Steganography 89. Packet Sniffers 90. Cryptography Technology 91. System Software 92. Humanoid Robot 93. X-Vision 94. Firewalls 95. Introduction to the Internet Protocols 96. Bio-inspired Networking 97. BEOWULF Cluster 98. XML Encryption 99. Security Features of ATM 100. Design And Analysis Of Algorithms 101. OpenRAN 102. Advanced Driver Assistance System (ADAS) 103. Digital Scent Technology 104. Iris Scanning 105. Symbian Mobile Operating System 106. Motes 107. Google Chrome Laptop or Chrome Book 108. Mind-Reading Computer 109. Distributed Interactive Virtual Environment 110. Trustworthy Computing 111. Teleportation 112. Finger Reader 113. Linux Kernel 2.6 114. MemTable 115. Voice Browser 116. Alternative Models Of Computation 117. Diamond chip 118. Photonics Communications 119. System in Package 120. Neural Interfacing 121. Multiple Access Control Protocol 122. Synthetic Aperture Radar System 123. WhatsApp 124. 5g Wireless System 125. Touch screen 126. Wireless Fidelity 127. Wireless Video Service in CDMA Systems 128. 10 Gigabit Ethernet 129. Java Database Connectivity 130. Artificial Intelligence 131. Computer Intelligence Application 132. Airborne Internet

133. Fast Convergence Algorithms for Active Noise Controlling Vehicles 134. Survivable Networks Systems 135. Capacitive And Resistive Touch Systems 136. Electronic Payment Systems 137. Ipv6 – The Next Generation Protocol 138. Zigbee Technology 139. InfiniBand 140. Finger Vein Recognition 141. Integrated Voice and Data 142. Chameleon Chip 143. Spam Assassin 144. FireWire 145. Free Space Optics 146. Chatbot for Business Organization 147. Haptic Technology 148. DNS Tunneling 149. Example-Based Machine Translation 150. Holographic Versatile Disc 151. Brain Fingerprinting 152. Finger Sleeve 153. Computer Forensics 154. Wireless Application Protocol 155. Free-space optical 156. Digital Cinema 157. Hurd 158. Eye Movement-Based Human-Computer Interaction Techniques 159. Optical Packet Switching Network 160. Neural Networks And Their Applications 161. Palladium 162. Intel Centrino Mobile Technology 163. High-Performance DSP Architectures 164. Next-Generation Secure Computing Base 165. MiniDisc system 166. Multiprotocol Label Switching 167. Opera (web browser) 168. 3D Optical Storage 169. Touchless Touchscreen 170. SPCS 171. Cooperative Linux 172. Real-Time Application Interface 173. Driving Optical Network Evolution 174. Tempest and Echelon 175. Mobile Virtual Reality Service 176. Teradata 177. Word Sense Disambiguation 178. Yii Framework 179. Microsoft HoloLens 180. Project Oxygen 181. Voice Over Internet Protocol 182. Wibree 183. Handheld Computers 184. Sniffer for detecting lost mobile 185. Fiber Channel 186. Digital Audio Broadcasting 187. Mobile Phone Cloning 188. Near Field Communication NFC 189. IP Telephony 190. Transient Stability Assessment using Neural Networks 191. corDECT Wireless in Local Loop System 192. Gaming Consoles 193. Broad Band Over Power Line

194. Wine 195. Wardriving 196. Smart Skin for Machine Handling 197. XBOX 360 System 198. Unicode And Multilingual Computing 199. Aeronautical Communication 200. D-Blast 201. Swarm intelligence & Traffic Safety 202. 3D Human Sensing 203. Wireless Sensor Networks 204. Breaking the Memory Wall in MonetDB 205. Access gateways 206. Optical Networking and Dense Wavelength Division Multiplexing 207. Hyper-Threading technology 208. Intelligent RAM 209. Goal-line technology 210. Zigbee 211. Smart Textiles 212. Nanorobotics 213. Strata flash Memory 214. Digital Preservation 215. DNA Storage 216. Network Attached Storage 217. Dynamic Cache Management Technique 218. Enhancing LAN Using Cryptography and Other Modules 219. Conditional Access System 220. Reconfigurable computing 221. Thermography 222. Nano Cars Into The Robotics 223. Project Loon 224. DNA chips 225. Operating Systems with Asynchronous Chips 226. Prototype System Design for Telemedicine 227. Virtual Smart Phone 228. 3G vs WiFi 229. Sandbox (computer security) 230. Face Recognition Technology 231. Biometrics Based Authentication 232. Optical Computer 233. M-Commerce 234. Wireless Internet 235. E-Paper Technology 236. Web Scraping 237. Bluetooth-Based Smart Sensor Networks 238. Smart Dustbins for Smart Cities 239. Satellite Radio 240. Modular Computing 241. 3d Optical Data Storage 242. Robotic Surgery 243. Digital Jewelry 244. Home Networking 245. Flexpad 246. Web Clustering Engines 247. Public Key Infrastructure 248. Inverse Multiplexing 249. Wireless USB 250. Fiber-Distributed Data Interface 251. Elastic Quotas 252. Bionic Eye 253. Zenoss Core 254. Quadrics Interconnection Network 255. Unified Modeling Language (UML) 256. Compute Unified Device Architecture CUDA 257. Quantum Cryptography 258. Local Multipoint Distribution Service

259. Hi-Fi 260. HVAC 261. Mobile OS (operating systems) 262. Image Processing 263. Rover Technology 264. Cyborgs 265. Dashboard 266. High-Performance Computing with Accelerators 267. Anonymous Communication 268. Crusoe Processor 269. Seam Carving for Media Retargeting 270. Fluorescent Multi-layer Disc 271. Cloud Storage 272. Holograph Technology 273. TCPA / Palladium 274. Optical Burst Switching 275. Ubiquitous Networking 276. NFC and Future 277. Database Management Systems 278. Intel Core I7 Processor 279. Modems and ISDN 280. Optical Fibre Cable 281. Soft Computing 282. 64-Bit Computing 283. CloudDrops 284. Electronic paper 285. Spawning Networks 286. Money Pad, The Future Wallet 287. HALO 288. Gesture Recognition Technology 289. Ultra Mobile Broadband(UMB) 290. Computer System Architecture 291. PoCoMo 292. Compositional Adaptation 293. Computer Viruses 294. Location Independent Naming 295. Earth Simulator 296. Sky X Technology 297. 3D Internet 298. Param 10000 299. Nvidia Tegra 250 Developer Kit Hardware 300. Clayodor 301. Optical Mouse 302. Tripwire 303. Telepresence 304. Genetic Programming 305. Cyberterrorism 306. Asynchronous Chips 307. The Tiger SHARC processor 308. EyeRing 309. SATRACK 310. Daknet 311. Development of the Intenet 312. Utility Fog 313. Smart Voting System Support by using Face Recognition 314. Google App Engine 315. Terrestrial Trunked Radio 316. Parasitic Computing 317. Ethical Hacking

318. HPJava 319. Crypto Watermarking 320. Exterminator 321. Ovonic Unified Memory 322. Intelligent Software Agents 323. Swarm Intelligence 324. Quantum Computers 325. Generic Access Network 326. Cable Modems 327. IDC 328. Java Ring 329. DOS Attacks 330. Phishing 331. QoS in Cellular Networks Based on MPT 332. VoCable 333. The Callpaper Concept 334. Combating Link Spam 335. Tele-immersion 336. Intelligent Speed Adaptation 337. Compact peripheral component interconnect 338. Mobile Number Portability 339. 3D Television 340. Multi-Touch Interaction 341. Apple Talk 342. Secure ATM by Image Processing 343. Computerized Paper Evaluation using Neural Network 344. IMAX 345. Bluetooth Broadcasting 346. Biometrics and Fingerprint Payment Technology 347. SPECT 348. Gi-Fi 349. Real-Time Systems with Linux/RTAI 350. Multiple Domain Orientation 351. Invisible Eye 352. Virtual Retinal Display 353. 3D-Doctor 354. MobileNets 355. Bio-Molecular Computing 356. Semantic Digital Library 357. Cloud Computing 358. Semantic Web 359. Ribonucleic Acid (RNA) 360. Smart Pixel Arrays 361. Optical Satellite Communication 362. Surface Computer 363. Pill Camera 364. Self-Managing Computing 365. Light Tree 366. Phase Change Memory – PCM 367. Worldwide Interoperability for Microwave Access 368. Motion Capture 369. Planar Separators 370. CORBA Technology 371. Generic Framing Procedure

372. E Ball PC Technology 373. Bluetooth V2.1 374. Stereoscopic Imaging 375. Artificial Neural Network (ANN) 376. Big Data 377. Theory of Computation 378. CORBA 379. Ultra-Wideband 380. Speed Detection of moving vehicles with the help of speed cameras 381. zForce Touch Screen 382. iCloud 383. Sense-Response Applications 384. BitTorrent 385. Sensors on 3D Digitization 386. 4G Broadband 387. Serverless Computing 388. Parallel Computing In India 389. Rapid Prototyping 390. Compiler Design 391. Secure Shell 392. LED printer 393. Storage Area Networks 394. Aspect-oriented programming (AOP) 395. Dual Core Processor 396. LTE: Long-Term Evolution 397. Mobile IP 398. CGI Programming 399. Computer Memory Contingent on the Protein Bacterio-rhodopsin 400. Visible light communication 401. 5 Pen PC Technology 402. GSM Security And Encryption 403. Smart Mirror 404. PHANToM 405. High Altitude Aeronautical Platforms 406. Virtual Keyboard 407. Hadoop 408. Laser Communications 409. Middleware 410. Blue Gene 411. 4D Visualization 412. Facebook Thrift 413. Scrum Methodology 414. Green Cloud Computing 415. Blade Servers 416. Self Organizing Maps 417. Digital Rights Management 418. Google’s Bigtable 419. Hyper Transport Technology 420. Child Safety Wearable Device 421. Extended Mark-Up Language 422. Mobile Jammer 423. Design and Analysis of Algorithms 424. 3D password 425. Data Mining 426. Surround Systems 427. Blockchain Security 428. CyberSecurity 429. Blue Brain 430. Computer Graphics 431. HTAM 432. Graphic processing Unit 433. Human Posture Recognition System 434. Mind Reading System

435. Image Processing & Compression 436. Intrution Detection System 437. Migration From GSM Network To GPRS 438. Skinput Technology 439. Smart Quill 440. MPEG-7 441. xMax Technology 442. Bitcoin 443. Blue Tooth 444. Snapdragon Processors 445. Turbo Codes 446. Magnetic Random Access Memory 447. Sixth Sense Technology 448. Timing Attacks on Implementations 449. Performance Testing 450. Graph Separators 451. Finger Tracking In Real Time Human Computer Interaction 452. MPEG-4 Facial Animation 453. EDGE 454. Dynamic Virtual Private Network 455. Wearable Bio-Sensors 456. 4G Wireless System 457. Longhorn 458. Wireless LAN Security 459. Microsoft Palladium 460. A Plan For No Spam 461. RPR 462. Biometric Voting System 463. Unlicensed Mobile Access 464. Google File System 465. Pivot Vector Space Approach in Audio-Video Mixing 466. iPAD 467. Crusoe 468. Sensitive Skin 469. Storage Area Network 470. Orthogonal Frequency Division Multiplexing 471. Blue Eyes 472. E-Cash Payment System 473. Shingled Magnetic Recording 474. Google Chrome OS 475. Future of IoT 476. Intel MMX Technology 477. DRM Software Radio 478. Itanium Processor 479. Digital Subscriber Line 480. Symbian OS 481. Browser Security 482. Wolfram Alpha 483. Raspberry Pi 484. Neural Networks 485. Socket Programming 486. JOOMLA and CMS 487. Linux Virtual Server 488. Structured Cabling 489. Wine 490. Bluejacking 491. Strata flash Memory 492. Wi-Vi 493. CAPTCHA 494. Software Enginaugmeering 495. Data Structures 496. Mobile Ad-Hoc Networks Extensions to Zone Routing Protocol 497. BlackBerry Technology

498. Mobile TV 499. LWIP 500. Wearable Computers 501. Optical Free Space Communication 502. Software-Defined Radio 503. Resilient Packet Ring Technology 504. Computer Networks 505. Tracking and Positioning of Mobiles in Telecommunication 506. Plan 9 Operating System 507. Smart Memories 508. Real-Time Obstacle Avoidance 509. PON Topologies 510. Graphical Password Authentication 511. Smart Card ID 512. The Deep Web 513. Parallel Computing 514. Magnetoresistive Random Access Memory 515. Radio Frequency Light Sources 516. Refactoring 517. Confidential Data Storage and Deletion 518. Java Servlets 519. Privacy-Preserving Data Publishing 520. 3D Searching 521. Case-Based Reasoning System 522. Small Computer System Interface 523. IP Spoofing 524. Synchronous Optical Networking (SONET) 525. Multicast 526. GSM Based Vehicle Theft Control System 527. Measuring Universal Intelligence 528. Space Mouse 529. Rain Technology 530. AJAX 531. Cryptocurrency 532. Quantum Computing 533. Fibre optic 534. Extreme Programming (XP) 535. Cluster Computing 536. Location Dependent Query Processing 537. Femtocell 538. Computational Visual Attention Systems 539. Distributed Computing 540. Blu Ray Disc 541. Zettabyte FileSystem 542. Internet Protocol Television 543. Advanced Database System 544. Internet Access via Cable TV Network 545. Text Mining 546. Tsunami Warning System 547. WiGig – Wireless Gigabit 548. Slammer Worm 549. NRAM 550. Integer Fast Fourier Transform 551. Multiparty Nonrepudiation 552. Importance of real-time transport Protocol in VOIP 553. AC Performance Of Nanoelectronics 554. Wireless Body Area Network 555. Optical Switching 556. Web 2.0 557. NVIDIA Tesla Personal Supercomputer 558. Child Tracking System 559. Short Message Service (SMS) 560. Brain-Computer Interface 561. Smart Glasses 562. Infinite Dimensional Vector Space

563. Wisenet 564. Blue Gene Technology 565. Holographic Data Storage 566. One Touch Multi-banking Transaction ATM System 567. SyncML 568. Ethernet Passive Optical Network 569. Light emitting polymers 570. IMode 571. Tool Command Language 572. Virtual Private Network 573. Dynamic TCP Connection Elapsing 574. Buffer overflow attack: A potential problem and its Implications 575. RESTful Web Services 576. Windows DNA 577. Object Oriented Concepts 578. Focused Web Crawling for E-Learning Content 579. Gigabit Ethernet 580. Radio Network Controller 581. Implementation Of Zoom FFT 582. IDS 583. Virtual Campus 584. Instant Messaging 585. Speech Application Language Tags 586. On-line Analytical Processing (OLAP) 587. Haptics 588. NGSCB 589. Place Reminder 590. Deep Learning 591. Palm Vein Technology 592. Mobile WiMax 593. Bacterio-Rhodopsin Memory 594. iSphere 595. Laptop Computer 596. Y2K38 597. Adding Intelligence to the Internet 598. Hadoop Architecture 599. Multiterabit Networks 600. Discrete Mathematical Structures 601. Human-Computer Interface 602. Self Defending Networks 603. Generic Visual Perception Processor GVPP 604. Apache Cassandra 605. DVD Technology 606. GPS 607. Voice Quality 608. Freenet 609. Amorphous Computing and Swarm Intelligence 610. Third Generation 611. Smart card 612. Brain Gate 613. Optical packet switch architectures 614. Intrusion Tolerance 615. Pixie Dust 616. MPEG Video Compression 617. SAM 618. 3D Glasses 619. Digital Electronics 620. Mesh Radio 621. Hybridoma Technology 622. Cellular Communications 623. CorDECT 624. Fog Screen 625. Development of 5G Technology 626. VHDL 627. Fast And Secure Protocol

628. TeleKinect 629. Parallel Virtual Machine 630. Ambient Intelligence 631. iDEN 632. X- Internet 633. RD RAM 634. FRAM 635. Digital Light Processing 636. Green Cloud 637. Biological Computers 638. E-Ball Technology

Latest Seminar Topics for CSE 2023

Now that you are aware of some of the latest seminar topics for CSE, let us take a glance at some of the topics that will help you in preparing your presentation and simultaneously give you a brief overview of the reading material and key points to include!

Mobile Computing is a software technology that transfers media through wireless device data, voice, and video without having any fixed connection. The key elements that are involved in this process are mobile software, mobile hardware, and mobile chips. 

Java technology today is good for general-purpose computing and GUIs. This technology enables the rovers to manoeuvre on the moon or outer space as per the commands given at the space stations. It is equipped with control systems working through diverse software programs. 

With the technological advancements in the field of Medical Science, this has become one of the most popular seminar topics for CSE. It is an instrument with a tiny camera that resembles a vitamin pill and is used primarily throughout the endoscopy process. This capsule shape camera captures pictures of the digestive system and sends them to the recorder.

Human-Computer Interface is a manual intercommunication performed in designing, executing, and assessing processes of a computer system. This kind of technology is generally practised in all types of disciples where a computer installation is involved. The most well-known platform to perform this process is the Association for Computer Machinery (ACM).

Another addition to the list of seminar topics for CSE is Software Testing. It is a prominent technology employed for checking the quality and performance of a software application. The main purpose of this process is to check whether the developed application satisfies the testing parameters of the software. Also, it finds out the negative issues to secure the application becomes defect-free.

Information Technology is used for a wide range of applications in the field of Space Science and Technology. Extending from exploratory fly-bys to rocket launches, the prospects are immense and due to this, it is often included in the list of seminar topics for CSE.  

A network or a group of computers helps in the transfer of information packets among network computers and their clients. This is transmitted from any source node to the target destination node. 

With its applications spanning across areas like cryptography and security, Random Number Generators form an essential part of the seminar topics for CSE. Computers generate the numbers either through hardware-based analysis [termed as RNG] or do so by assessing external data like mouse clicking. 

Hamming Cut Matching Algorithm is a set of programs that are meant to execute the functions of a firmware component and its associated algorithm. It reduces the comparison time for matching the iris code with a database so that we can apply iris verification in case of massive databases like the voting system.

Cryptocurrency is a digital currency secured by cryptography making it almost impossible to counterfeit. It is electronic money which hides the identification of the users. 

Smart Textiles are fabrics that can sense and react to environmental stimuli, which may be mechanical, thermal, chemical, biological, and magnetic amongst others. They also automatically track the training progress and monitor the physical state.

Voice Morphing is the technique to alter one’s voice characteristics to another person’s. Voice Morphing Technology helps to transform or change the tone, and pitch or add distortions to the user’s voice.

It is a high-bandwidth wireless USB that connects peripherals like printers, sound cards, and video monitors.

Zigbee is a wireless technology that works on low-power wireless IoT networks and also is affordable. It can have a battery life of several years. 

Fog Computing is a process by which multiple devices are allowed to communicate with each other using local networks. It improves efficiency, tightens security and reduces the data used while cloud processing and storage.

Crypto Watermarking is done to protect the content shared from plagiarizing and to authenticate the ownership and source of origin of the content. This also reduces the chances of tampering with data.

IP Address Spoofing is the process of creating Internet Protocol packets with a false source IP address, to trick other networks by entering as a legitimate entity.

Here is the list List of the seminar topics for computer science:

Here are some of the Technical Seminar Topics for CSE with Abstracts:

Be it  Harvard University , Caltech , or MIT , Computer Science Engineering courses form part of the offerings of many world-renowned universities. Some of them have been given a rundown below:

The latest topics are considered to be the best ones for a seminar. Some of them are enlisted below:  – 4G Wireless Systems – Global Positioning System  – Brain-Computer Interface – Laser Satellite Strikers  – Face Recognization Technology  – Uses of Data  – Multimedia Conferencing 

Here is a list of the latest seminar topics that are important for seminars:  – Laser Telemetric System  – Chassis Frame – Ambient Backscatter – Network Security And Cryptography – Pulse Detonation Engine – Buck-Boost Converter – Solar Collector – 3D Television

Computer Science is a field that enables candidates to know about a range of topics such as Algorithms, Computational Complexity, Programming Language Design, Data Structures, Parallel and Distributed Computing, Programming Methodology, Information Retrieval, Computer Networks, Cyber Security and many more.   

Given below are some topics for Computer Science that can help you out:  – JAVA Programming  – C++ Programming  – Artificial Intelligence – Machine Learning  – Web Scraping – Web Development – Edge Computing  – Health Technology

Hence, there are scores of Seminar Topics for CSE that you can learn more about. Planning to pursue a master’s in Computer Science from a university abroad? Not sure how to proceed with it? Then reach out to our experts at Leverage Edu who will not only help you to find your dream university, and provide assistance in completing the formalities of the application but will also help you write an impressive SOP!

Team Leverage Edu

Leave a Reply Cancel reply

Save my name, email, and website in this browser for the next time I comment.

Contact no. *

Leaving already?

8 Universities with higher ROI than IITs and IIMs

Grab this one-time opportunity to download this ebook

Connect With Us

25,000+ students realised their study abroad dream with us. take the first step today..

Resend OTP in

Need help with?

Study abroad.

UK, Canada, US & More

IELTS, GRE, GMAT & More

Scholarship, Loans & Forex

Country Preference

New Zealand

Which English test are you planning to take?

Which academic test are you planning to take.

Not Sure yet

When are you planning to take the exam?

Already booked my exam slot

Within 2 Months

Want to learn about the test

Which Degree do you wish to pursue?

When do you want to start studying abroad.

September 2024

January 2025

What is your budget to study abroad?

How would you describe this article ?

Please rate this article

We would like to hear more.

Explore your training options in 10 minutes Get Started

• Graduate Stories
• Partner Spotlights
• Bootcamp Prep
• Bootcamp Admissions
• University Bootcamps
• Coding Tools
• Software Engineering
• Web Development
• Data Science
• Tech Guides
• Tech Resources
• Career Advice
• Online Learning
• Internships
• Apprenticeships
• Tech Salaries
• Associate Degree
• Bachelor's Degree
• Master's Degree
• University Admissions
• Best Schools
• Certifications
• Bootcamp Financing
• Higher Ed Financing
• Scholarships
• Financial Aid
• Best Coding Bootcamps
• Best Online Bootcamps
• Best Web Design Bootcamps
• Best Data Science Bootcamps
• Best Technology Sales Bootcamps
• Best Data Analytics Bootcamps
• Best Cybersecurity Bootcamps
• Best Digital Marketing Bootcamps
• Los Angeles
• San Francisco
• Browse All Locations
• Digital Marketing
• Machine Learning
• See All Subjects
• Bootcamps 101
• Full-Stack Development
• Career Changes
• View all Career Discussions
• Mobile App Development
• Cybersecurity
• Product Management
• UX/UI Design
• What is a Coding Bootcamp?
• Are Coding Bootcamps Worth It?
• How to Choose a Coding Bootcamp
• Best Online Coding Bootcamps and Courses
• Best Free Bootcamps and Coding Training
• Coding Bootcamp vs. Community College
• Coding Bootcamp vs. Self-Learning
• Bootcamps vs. Certifications: Compared
• What Is a Coding Bootcamp Job Guarantee?
• How to Pay for Coding Bootcamp
• Ultimate Guide to Coding Bootcamp Loans
• Best Coding Bootcamp Scholarships and Grants
• Education Stipends for Coding Bootcamps
• Get Your Coding Bootcamp Sponsored by Your Employer
• GI Bill and Coding Bootcamps
• Tech Intevriews
• Our Enterprise Solution
• Connect With Us
• Publication
• Reskill America
• Partner With Us

• Resource Center
• Bachelor’s Degree
• Master’s Degree

The Top 10 Most Interesting Computer Science Research Topics

Computer science touches nearly every area of our lives. With new advancements in technology, the computer science field is constantly evolving, giving rise to new computer science research topics. These topics attempt to answer various computer science research questions and how they affect the tech industry and the larger world.

Computer science research topics can be divided into several categories, such as artificial intelligence, big data and data science, human-computer interaction, security and privacy, and software engineering. If you are a student or researcher looking for computer research paper topics. In that case, this article provides some suggestions on examples of computer science research topics and questions.

Find your bootcamp match

What makes a strong computer science research topic.

A strong computer science topic is clear, well-defined, and easy to understand. It should also reflect the research’s purpose, scope, or aim. In addition, a strong computer science research topic is devoid of abbreviations that are not generally known, though, it can include industry terms that are currently and generally accepted.

Tips for Choosing a Computer Science Research Topic

• Brainstorm . Brainstorming helps you develop a few different ideas and find the best topic for you. Some core questions you should ask are, What are some open questions in computer science? What do you want to learn more about? What are some current trends in computer science?
• Choose a sub-field . There are many subfields and career paths in computer science . Before choosing a research topic, ensure that you point out which aspect of computer science the research will focus on. That could be theoretical computer science, contemporary computing culture, or even distributed computing research topics.
• Aim to answer a question . When you’re choosing a research topic in computer science, you should always have a question in mind that you’d like to answer. That helps you narrow down your research aim to meet specified clear goals.
• Do a comprehensive literature review . When starting a research project, it is essential to have a clear idea of the topic you plan to study. That involves doing a comprehensive literature review to better understand what has been learned about your topic in the past.
• Keep the topic simple and clear. The topic should reflect the scope and aim of the research it addresses. It should also be concise and free of ambiguous words. Hence, some researchers recommended that the topic be limited to five to 15 substantive words. It can take the form of a question or a declarative statement.

What’s the Difference Between a Research Topic and a Research Question?

A research topic is the subject matter that a researcher chooses to investigate. You may also refer to it as the title of a research paper. It summarizes the scope of the research and captures the researcher’s approach to the research question. Hence, it may be broad or more specific. For example, a broad topic may read, Data Protection and Blockchain, while a more specific variant can read, Potential Strategies to Privacy Issues on the Blockchain.

On the other hand, a research question is the fundamental starting point for any research project. It typically reflects various real-world problems and, sometimes, theoretical computer science challenges. As such, it must be clear, concise, and answerable.

How to Create Strong Computer Science Research Questions

To create substantial computer science research questions, one must first understand the topic at hand. Furthermore, the research question should generate new knowledge and contribute to the advancement of the field. It could be something that has not been answered before or is only partially answered. It is also essential to consider the feasibility of answering the question.

Top 10 Computer Science Research Paper Topics

1. battery life and energy storage for 5g equipment.

The 5G network is an upcoming cellular network with much higher data rates and capacity than the current 4G network. According to research published in the European Scientific Institute Journal, one of the main concerns with the 5G network is the high energy consumption of the 5G-enabled devices . Hence, this research on this topic can highlight the challenges and proffer unique solutions to make more energy-efficient designs.

2. The Influence of Extraction Methods on Big Data Mining

Data mining has drawn the scientific community’s attention, especially with the explosive rise of big data. Many research results prove that the extraction methods used have a significant effect on the outcome of the data mining process. However, a topic like this analyzes algorithms. It suggests strategies and efficient algorithms that may help understand the challenge or lead the way to find a solution.

3. Integration of 5G with Analytics and Artificial Intelligence

According to the International Finance Corporation, 5G and AI technologies are defining emerging markets and our world. Through different technologies, this research aims to find novel ways to integrate these powerful tools to produce excellent results. Subjects like this often spark great discoveries that pioneer new levels of research and innovation. A breakthrough can influence advanced educational technology, virtual reality, metaverse, and medical imaging.

4. Leveraging Asynchronous FPGAs for Crypto Acceleration

To support the growing cryptocurrency industry, there is a need to create new ways to accelerate transaction processing. This project aims to use asynchronous Field-Programmable Gate Arrays (FPGAs) to accelerate cryptocurrency transaction processing. It explores how various distributed computing technologies can influence mining cryptocurrencies faster with FPGAs and generally enjoy faster transactions.

5. Cyber Security Future Technologies

Cyber security is a trending topic among businesses and individuals, especially as many work teams are going remote. Research like this can stretch the length and breadth of the cyber security and cloud security industries and project innovations depending on the researcher’s preferences. Another angle is to analyze existing or emerging solutions and present discoveries that can aid future research.

6. Exploring the Boundaries Between Art, Media, and Information Technology

The field of computers and media is a vast and complex one that intersects in many ways. They create images or animations using design technology like algorithmic mechanism design, design thinking, design theory, digital fabrication systems, and electronic design automation. This paper aims to define how both fields exist independently and symbiotically.

7. Evolution of Future Wireless Networks Using Cognitive Radio Networks

This research project aims to study how cognitive radio technology can drive evolution in future wireless networks. It will analyze the performance of cognitive radio-based wireless networks in different scenarios and measure its impact on spectral efficiency and network capacity. The research project will involve the development of a simulation model for studying the performance of cognitive radios in different scenarios.

8. The Role of Quantum Computing and Machine Learning in Advancing Medical Predictive Systems

In a paper titled Exploring Quantum Computing Use Cases for Healthcare , experts at IBM highlighted precision medicine and diagnostics to benefit from quantum computing. Using biomedical imaging, machine learning, computational biology, and data-intensive computing systems, researchers can create more accurate disease progression prediction, disease severity classification systems, and 3D Image reconstruction systems vital for treating chronic diseases.

9. Implementing Privacy and Security in Wireless Networks

Wireless networks are prone to attacks, and that has been a big concern for both individual users and organizations. According to the Cyber Security and Infrastructure Security Agency CISA, cyber security specialists are working to find reliable methods of securing wireless networks . This research aims to develop a secure and privacy-preserving communication framework for wireless communication and social networks.

10. Exploring the Challenges and Potentials of Biometric Systems Using Computational Techniques

Much discussion surrounds biometric systems and the potential for misuse and privacy concerns. When exploring how biometric systems can be effectively used, issues such as verification time and cost, hygiene, data bias, and cultural acceptance must be weighed. The paper may take a critical study into the various challenges using computational tools and predict possible solutions.

Other Examples of Computer Science Research Topics & Questions

Computer research topics.

• The confluence of theoretical computer science, deep learning, computational algorithms, and performance computing
• Exploring human-computer interactions and the importance of usability in operating systems
• Predicting the limits of networking and distributed systems
• Controlling data mining on public systems through third-party applications
• The impact of green computing on the environment and computational science

Computer Research Questions

• Why are there so many programming languages?
• Is there a better way to enhance human-computer interactions in computer-aided learning?
• How safe is cloud computing, and what are some ways to enhance security?
• Can computers effectively assist in the sequencing of human genes?
• How valuable is SCRUM methodology in Agile software development?

Choosing the Right Computer Science Research Topic

Computer science research is a vast field, and it can be challenging to choose the right topic. There are a few things to keep in mind when making this decision. Choose a topic that you are interested in. This will make it easier to stay motivated and produce high-quality research for your computer science degree .

Select a topic that is relevant to your field of study. This will help you to develop specialized knowledge in the area. Choose a topic that has potential for future research. This will ensure that your research is relevant and up-to-date. Typically, coding bootcamps provide a framework that streamlines students’ projects to a specific field, doing their search for a creative solution more effortless.

Computer Science Research Topics FAQ

To start a computer science research project, you should look at what other content is out there. Complete a literature review to know the available findings surrounding your idea. Design your research and ensure that you have the necessary skills and resources to complete the project.

The first step to conducting computer science research is to conceptualize the idea and review existing knowledge about that subject. You will design your research and collect data through surveys or experiments. Analyze your data and build a prototype or graphical model. You will also write a report and present it to a recognized body for review and publication.

You can find computer science research jobs on the job boards of many universities. Many universities have job boards on their websites that list open positions in research and academia. Also, many Slack and GitHub channels for computer scientists provide regular updates on available projects.

There are several hot topics and questions in AI that you can build your research on. Below are some AI research questions you may consider for your research paper.

• Will it be possible to build artificial emotional intelligence?
• Will robots replace humans in all difficult cumbersome jobs as part of the progress of civilization?
• Can artificial intelligence systems self-improve with knowledge from the Internet?

About us: Career Karma is a platform designed to help job seekers find, research, and connect with job training programs to advance their careers. Learn about the CK publication .

What's Next?

Get matched with top bootcamps

Ask a question to our community, take our careers quiz.

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

• Menu  Close 
• Search 

Department Seminars

The Department of Computer Science is proud to welcome esteemed speakers to Johns Hopkins University Homewood campus for our department seminar series.

WHERE: Hackerman B-17, unless otherwise noted WHEN: 10:30 a.m. refreshments available, seminar runs from 10:45 a.m. to 12 p.m., unless otherwise noted

Recordings will be available online after each seminar.

Schedule of Speakers

Click to expand for talk title, abstract, and speaker biography.

4/30/2024 Tommi Jaakkola Massachusetts Institute of Technology

To be announced.

5/2/2024 Zhiqiang Lin Ohio State University

Zoom link >>

Computer Science Seminar Series

“ Rethinking the Security and Privacy of Bluetooth Low Energy ”

Abstract: Bluetooth Low Energy (BLE) stands at the forefront of near-range wireless communication technology, integral to a myriad of Internet of Things devices (spanning health care, fitness, wearables, and smart home applications), primarily due to its significantly low energy consumption. However, the past few years have unveiled numerous security flaws, placing billions of Bluetooth devices at risk. While luckily these flaws have been discovered (some of which have been fixed), there is no reason to believe that current BLE protocols and implementations are free from other flaws. In this talk, Zhiqiang Lin will present a line of recent efforts aimed at enhancing BLE security and privacy. In particular, he will first present the protocol-level downgrade attack, an attack that can force the secure BLE channels into insecure ones to break the data integrity and confidentiality of BLE traffic. Then, he will introduce the Bluetooth Address Tracking (BAT) attack, a novel protocol-level attack, which can track randomized Bluetooth MAC addresses by using an innovative allowlist-based side channel. Next, he will talk about the lessons learned, root causes of the attacks, and their countermeasures. Finally, he will conclude his talk by discussing future directions in Bluetooth security and privacy.

Speaker Biography: Zhiqiang Lin is a Distinguished Professor of Engineering at the Ohio State University. His research interests center around systems and software security, with a key focus on (1) developing automated binary analysis techniques for vulnerability discovery and malware analysis, (2) hardening the systems and software from binary code rewriting, virtualization, and trusted execution environment, and (3) the applications of these techniques in mobile, Internet of Things, Bluetooth, and connected and autonomous vehicles. Lin has published over 150 papers, many of which appeared in the top venues in cybersecurity. He is an Institute of Electrical and Electronics Engineers Fellow, an ACM Distinguished Member, and a a recipient of the Harrison Faculty Award for Excellence in Engineering Education, an NSF CAREER Award, an Air Force Office of Scientific Research Young Investigator Award, and an Outstanding Faculty Teaching Award. He received his PhD in computer science from Purdue University.

Past Speakers

Click to expand for recording, date, abstract, and speaker biography.

What's Wrong with Large Language Models and What We Should Be Building Instead Tom Dietterich, Oregon State University

Recording to come.

Institute for Assured Autonomy & Computer Science Seminar Series

April 16, 2024

Abstract: Large language models provide a pre-trained foundation for training many interesting AI systems. However, they have many shortcomings: They are expensive to train and to update, their non-linguistic knowledge is poor, they make false and self-contradictory statements, and these statements can be socially and ethically inappropriate. This talk will review these shortcomings and current efforts to address them within the existing LLM framework. It will then argue for a different, more modular architecture that decomposes the functions of existing LLMs and adds several additional components. We believe this alternative can address many of the shortcomings of LLMs.

Speaker Biography: Tom Dietterich (AB Oberlin College 1977; MS University of Illinois 1979; PhD Stanford University 1984) is Distinguished Professor Emeritus in the School of Electrical Engineering and Computer Science at Oregon State University. Dietterich is one of the pioneers of the field of machine learning and has authored more than 200 refereed publications and two books. He is a fellow of the ACM, the American Association for the Advancement of Science, and the Association for the Advancement of Artificial Intelligence . His current research topics include robust artificial intelligence, robust human-AI systems, and applications in sustainability.

Structured World Models for Robots Krishna Murthy, Massachusetts Institute of Technology

View the recording >>

April 12, 2024

Abstract: Humans have an innate ability to construct detailed mental representations of the world from limited sensory data. These “world models” are central to natural intelligence, allowing us to perceive, reason about, and act in the physical world. Krishna Murthy’s research seeks to create “computational world models”—artificial intelligence techniques that enable robots to understand and operate in the world around as effectively as humans. Despite the impressive successes of modern machine learning approaches in media such as text, images, and video—where abundant training data is readily available—these advancements have not translated to robotics. Building generally capable robotic systems presents unique challenges, including this lack of data and the need to adapt learning algorithms to a wide variety of embodiments, environments, and tasks of interest. In his talk, Murthy will present how his research contributes to the design of computational models for spatial, physical, and multimodal understanding. He will discuss differentiable computing approaches that have advanced the field of spatial perception, enabling an understanding of the structure of the 3D world, its constituent objects, and their semantic and physical properties from videos. He will also detail how his work interfaces advances in large image, language, and audio models with 3D scenes, enabling robots and computer vision systems to flexibly query these structured world models for a wide range of tasks. Finally, he will outline his vision for the future, where structured world models and modern scaling-based approaches work in tandem to create versatile robot perception and planning algorithms with the potential to meet and ultimately surpass human-level capabilities.

Speaker Biography: Krishna Murthy is a postdoctoral researcher at the Massachusetts Institute of Technology working with Antonio Torralba and Josh Tenenbaum. He previously completed his PhD at Mila and the University of Montreal, where he was advised by Liam Paull. Murthy’s research focuses on building computational world models to help embodied agents perceive, reason about, and act in the physical world. He has led the organization of multiple workshops on themes spanning differentiable programming, physical reasoning, 3D vision and graphics, and ML research dissemination. His research has been recognized with graduate fellowship awards from NVIDIA and Google (2021); a Best Paper Award from the Institute of Electrical and Electronics Engineers’ Robotics and Automation Letters (2019); and an induction to the Robotics: Science and Systems Pioneers cohort (2020).

Robot Navigation in Complex Indoor and Outdoor Environments Dinesh Manocha, University of Maryland, College Park

April 11, 2024

Abstract: In the last few decades, most robotics success stories have been limited to structured or controlled environments. A major challenge is to develop robot systems that can operate in complex or unstructured environments corresponding to homes, dense traffic, outdoor terrains, public places, etc. In this talk, Dinesh Manocha gives an overview of his ongoing work on developing robust planning and navigation technologies that use recent advances in computer vision, sensor technologies, machine learning, and motion planning algorithms. He presents new methods that utilize multimodal observations from an RGB camera, 3D LiDAR, and robot odometry for scene perception, along with deep reinforcement learning  for reliable planning; the latter is also used to compute dynamically feasible and spatially aware velocities for a robot navigating among mobile obstacles and uneven terrains. These methods have been integrated with wheeled robots, home robots, and legged platforms and their performance has been highlighted in crowded indoor scenes, home environments, and dense outdoor terrains.

Speaker Biography: Dinesh Manocha is the Paul Chrisman Iribe Professor of Computer Science and Electrical and Computer Engineering and a Distinguished University Professor at the University of Maryland, College Park. His research interests include virtual environments, physically based modeling, and robotics. His group has developed a number of software packages that are standard and licensed to 60+ commercial vendors. He has published more than 750 papers and supervised 50 PhD dissertations. He is a fellow of the Association for the Advancement of Artificial Intelligence , the American Association for the Advancement of Science, the ACM, the Institute of Electrical and Electronics Engineers (IEEE) , and the National Academy of Inventors. He is also a member of the ACM’s Special Interest Group on Computer Graphics and Interactive Techniques and the IEEE Visualization and Graphics Technical Community’s Virtual Reality Academy. Manocha is the recipient of a Pierre Bézier Award from the Solid Modeling Association, a Distinguished Alumni Award from the Indian Institute of Technology Delhi, and a Distinguished Career Award in Computer Science from the Washington Academy of Sciences. He was also a co-founder of Impulsonic, a developer of physics-based audio simulation technologies that was acquired by Valve Corporation in November of 2016.

A First-Principles Approach to Deep Learning and Applications to Quantum Materials Yasaman Bahri, Google DeepMind

April 8, 2024

Abstract: Recent years have seen unprecedented advancements in the development of machine learning and artificial intelligence. For the applied sciences, these tools offer new paradigms for combining insights developed from theory, computation, and experiments towards design and discovery, and for bridging the microscopic world with the macroscopic. Beyond treating them as black boxes, however, uncovering and distilling the fundamental principles behind how systems built with neural networks work is a grand challenge, and one that can be aided by ideas, tools, and methodologies from physics. Yasaman Bahri will describe one pillar of her research that takes a first-principles approach to deep learning through the lens of statistical physics, exactly solvable models and mean-field theories, and nonlinear dynamics. She will discuss new connections she discovered between large-width deep neural networks, Gaussian processes, and kernels; the emergence of linear models during training and phase transitions away from them; experimentally-consistent insights into scaling laws; and an outlook on the next frontiers in this research program. She will then discuss the early stages of a second research program proceeding in the reverse direction, in which a deeper understanding of ML and AI can be used to advance the quantum sciences and quantum materials. As an early example, Bahri considers physics as a domain to examine recall and reasoning in large language models. She will describe work investigating the ability of such models to perform analytic Hartree-Fock mean-field calculations in quantum many-body physics.

Speaker Biography: Yasaman Bahri is a research scientist at Google DeepMind. Her research lies at the confluence of machine learning and the physical sciences. She completed her PhD in physics at the University of California, Berkeley as an NSF Graduate Fellow, specializing in the theory of quantum condensed matter. Her doctoral work investigated quantum matter through the themes of topology, symmetry, and localization. She has been an invited lecturer at the Les Houches School of Physics, is a past Rising Star in Electrical Engineering and Computer Science, and was a co-organizer of a recent program on deep learning at the Kavli Institute for Theoretical Physics.

SmartBook: An AI Prophetess for Disaster Reporting and Forecasting Heng Ji, University of Illinois Urbana-Champaign

April 5, 2024

Abstract: History repeats itself—sometimes in a bad way. Preventing natural or man-made disasters requires being aware of these patterns and taking preemptive action to address and reduce them—or ideally, eliminate them. Emerging events, such as the COVID pandemic and the Ukraine crisis, require a time-sensitive, comprehensive understanding of the situation to allow for appropriate decision-making and effective action response. Automated generation of situation reports can significantly reduce the time, effort, and cost for domain experts when preparing their official, human-curated reports. However, AI research toward this goal has been very limited and no successful trials have yet been conducted to automate such report generation and “what-if” disaster forecasting. Preexisting natural language processing and information retrieval techniques are insufficient to identify, locate, and summarize important information and lack detailed, structured, and strategic awareness. In this talk, Heng Ji will present SmartBook, a novel framework that cannot be solved by large language models alone to consume large volumes of multimodal multilingual news data and produce a structured situation report with multiple hypotheses (claims) summarized and grounded with rich links to factual evidence through multimodal knowledge extraction, claim detection, fact checking, misinformation detection, and factual error correction. Furthermore, SmartBook can also serve as a novel news event simulator or an intelligent prophetess. Given “what-if” conditions and dimensions elicited from a domain expert user concerning a disaster scenario, SmartBook will induce schemas from historical events and automatically generate a complex event graph along with a timeline of news articles that describe new simulated events and character-centric stories based on a new Λ-shaped attention mask that can generate text with infinite length. By effectively simulating disaster scenarios in both event graph and natural language formats, SmartBook is expected to greatly assist humanitarian workers and policymakers to exercise reality checks and thus better prevent and respond to future disasters.

Speaker Biography: Heng Ji is a professor of computer science at the University of Illinois Urbana-Champaign, where she is an affiliated faculty member of the Electrical and Computer Engineering Department and the Coordinated Science Laboratory. She is an Amazon Scholar and is the founding director of the Amazon-Illinois Center on AI for Interactive Conversational Experiences. Ji received her BA and MA in computational linguistics from Tsinghua University and her MS and PhD in computer science from New York University. Her research interests focus on natural language processing—especially on multimedia multilingual information extraction, knowledge-enhanced large language Models, knowledge-driven generation, and conversational AI. Ji was selected as a Young Scientist to attend the 6th World Laureates Forum and was selected to participate in DARPA’s 2023 AI Forward initiative. She was selected as a Young Scientist and a member of the Global Future Council on the Future of Computing by the World Economic Forum in 2016 and 2017. Other awards she has received include being named a Women Leader of Conversational AI (Class of 2023) by Project Voice; an “AI’s 10 to Watch” Award by IEEE Intelligent Systems in 2013; an NSF CAREER Award in 2009; Best Paper Runner-Up at the 26th Pacific Asia Conference on Language, Information, and Computation; a Best Paper Award at the 2013 Institute of Electrical and Electronics Engineers’ (IEEE) International Conference on Data Mining; a Best Paper Award at the 2013 Society for Industrial and Applied Mathematics’ International Conference on Data Mining; a nomination for Best Demo Paper at the 2018 Annual Meeting of the Association for Computational Linguistics (ACL); a Best Demo Paper Award at ACL 2020; a Best Demo Paper Award at the 2021 Annual Conference of the North American Chapter of the ACL (NAACL); Google Research Awards in 2009 and 2014; an IBM Faculty Award in 2012 and 2014; and Bosch Research Awards in 2014 through 2018. Ji was invited to testify to the United States House of Representatives Cybersecurity, Information Technology, and Government Innovation Subcommittee as an AI expert in 2023; s he was also invited by the Secretary of the U.S. Air Force and the Air Force Research Laboratory (AFRL) to join the Department of the Air Force Data, Analytics, and AI Forum to inform Air Force Strategy in 2030 and was invited to speak at the federal Information Integrity R&D Interagency Working Group briefing in 2023. She is the lead of many multi-institution projects and tasks, including United States Army Research Laboratory (ARL) projects on information fusion and knowledge networks construction, the DARPA Environment-Driven Conceptual Learning program’s Multimodal InteRActive Conceptual Learning team, the DARPA Knowledge-directed Artificial Intelligence Reasoning Over Schemas program’s Reasoning about Event Schemas for Induction of kNowledge team, and the DARPA Deep Exploration and Filtering of Text’s Tinker Bell team. Ji  coordinated the National Institute of Standards and Technology Text Analysis Conference Knowledge Base Population task from 2010 to 2022. She was the associate editor for the IEEE/ACM Transactions on Audio, Speech, and Language Processing and has served as program committee co-chair of many conferences, including the 2018 Conference of the NAACLL Human Language Technologies and 2022 Conference of the Asia-Pacific Chapter of the ACL and the International Joint Conference on Natural Language Processing. Ji was elected as the secretary of the NAACL from 2020 to 2023. Her research has been widely supported by U.S. government agencies (e.g., DARPA, NSF, the Department of Energy, ARL, the Intelligence Advanced Research Projects Activity, AFRL, the Department of Homeland Security) and industry partners (e.g., Apple, Amazon, Google, Meta, Bosch, IBM, Disney).

Enforcing Right to Explanation: Algorithmic Challenges and Opportunities Himabindu Lakkaraju, Harvard University

April 4, 2024

Abstract: As predictive and generative models are increasingly being deployed in various high-stakes applications in critical domains including health care, law, policy, and finance, it is important to ensure that relevant stakeholders understand the behaviors and outputs of these models so that they can determine if and when to intervene. To this end, several techniques have been proposed in recent literature to explain these models; in addition, multiple regulatory frameworks (e.g., the General Data Protection Regulation , the California Consumer Privacy Act ) introduced in recent years also emphasize the importance of enforcing the key principle of “right to explanation” to ensure that individuals who are adversely impacted by algorithmic outcomes are provided with an actionable explanation. In this talk, Himabindu Lakkaraju will discuss the gaps that exist between regulations and state-of-the-art technical solutions when it comes to explainability of predictive and generative models. She will then present some of her latest research that attempts to address some of these gaps. She will conclude her talk by discussing bigger challenges that arise as we think about enforcing right to explanation in the context of large language models and other large generative models.

Speaker Biography: Himabindu “Hima” Lakkaraju is an assistant professor at Harvard University focusing on the algorithmic, theoretical, and applied aspects of explainability, fairness, and robustness of machine learning models. Lakkaraju has been named as one of the world’s top innovators under 35 by both MIT Tech Review and Vanity Fair. She has also received several prestigious awards, including an NSF CAREER Award, an AI2050 Early Career Fellowship by Schmidt Futures, and multiple Best Paper Awards at top-tier ML conferences; she has also received grants from the NSF, Google, Amazon, J.P. Morgan, and Bayer. Lakkaraju has given keynote talks at various top ML conferences and associated workshops, including the Conference on Information and Knowledge Management, the International Conference on Machine Learning, the Conference and Workshop on Neural Information Processing Systems, the International Conference on Learning Representations, the Association for the Advancement of Artificial Intelligence, and the Conference on Computer Vision and Pattern Recognition; her research has also been showcased by popular media outlets including The New York Times, MIT Tech Review, TIME, and Forbes. More recently, she co-founded the Trustworthy ML Initiative to enable easy access to resources on trustworthy ML and to build a community of researchers and practitioners working on the topic.

Model-Based Methods in Today’s Data-Driven Robotics Landscape Seth Hutchinson, Georgia Institute of Technology

April 3, 2024

Abstract: Data-driven machine learning methods are making advances in many long-standing problems in robotics, including grasping, legged locomotion, perception, and more. There are, however, robotics applications for which data-driven methods are less effective. Data acquisition can be expensive, time consuming, or dangerous—to the surrounding workspace, humans in the workspace, or the robot itself. In such cases, generating data via simulation might seem a natural recourse, but simulation methods come with their own limitations, particularly when nondeterministic effects are significant or when complex dynamics are at play, requiring heavy computation and exposing the so-called sim2real gap. Another alternative is to rely on a set of demonstrations, limiting the amount of required data by careful curation of the training examples; however, these methods fail when confronted with problems that were not represented in the training examples (so-called out-of-distribution problems) and this precludes the possibility of providing provable performance guarantees. In this talk, Seth Hutchinson will describe recent work on robotics problems that do not readily admit data-driven solutions, including flapping flight by a bat-like robot, vision-based control of soft continuum robots, a cable-driven graffiti-painting robot, and ensuring safe operation of mobile manipulators in human-robot interaction scenarios. He will describe some specific difficulties that confront data-driven methods for these problems and how model-based approaches can provide workable solutions. Along the way, he will also discuss how judicious incorporation of data-driven machine learning tools can enhance performance of these methods.

Speaker Biography: Seth Hutchinson is the executive director of the Institute for Robotics and Intelligent Machines at the Georgia Institute of Technology, where he is also a professor and the KUKA Chair for Robotics in the School of Interactive Computing. Hutchinson received his PhD from Purdue University in 1988, and in 1990 he joined the University of Illinois in Urbana-Champaign, where he was a professor of electrical and computer engineering (ECE) until 2017 and served as the associate department head for ECE from 2001 to 2007. A fellow of the Institute of Electrical and Electronics Engineers (IEEE), Hutchinson served as the president of the IEEE Robotics and Automation Society (RAS) from 2020 to 2021 and has previously served as a member of the RAS Administrative Committee, as the editor-in-chief for IEEE Transactions on Robotics, and as the founding editor-in-chief of the RAS Conference Editorial Board. He has served on the organizing committees for more than 100 conferences, has more than 300 publications on the topics of robotics and computer vision, and is co-author of the books Robot Modeling and Control (Wiley), Principles of Robot Motion: Theory, Algorithms, and Implementations (MIT Press), and the forthcoming  Introduction to Robotics and Perception (Cambridge University Press).

Making Machine Learning Predictably Reliable Andrew Ilyas, Massachusetts Institute of Technology

April 1, 2024

Abstract: Despite machine learning models’ impressive performance, training and deploying them is currently a somewhat messy endeavor. But does it have to be? In this talk, Andrew Ilyas overviews his work on making ML “predictably reliable”—enabling developers to know when their models will work, when they will fail, and why. To begin, he uses a case study of adversarial inputs to show that human intuition can be a poor predictor of how ML models operate. Motivated by this, he presents a line of work that aims to develop a precise understanding of the ML pipeline, combining statistical tools with large-scale experiments to characterize the role of each individual design choice: from how to collect data, to what dataset to train on, to what learning algorithm to use.

Speaker Biography: Andrew Ilyas is a PhD student in computer science at the Massachusetts Institute of Technology, where he is advised by Aleksander Madry and Constantinos Daskalakis. His research aims to improve the reliability and predictability of machine learning systems. He was previously supported by an Open Philanthropy AI Fellowship.

Accessible Foundation Models: Systems, Algorithms, and Science Tim Dettmers, University of Washington

March 28, 2024

Abstract: The ever-increasing scale of foundation models, such as ChatGPT and AlphaFold, has revolutionized AI and science more generally. However, increasing scale also steadily raises computational barriers, blocking almost everyone from studying, adapting, or otherwise using these models for anything beyond static API queries. In this talk, Tim Dettmers will present research that significantly lowers these barriers for a wide range of use cases, including inference algorithms that are used to make predictions after training, fine-tuning approaches that adapt a trained model to new data, and finally, full training of foundation models from scratch. For inference, he will describe the LLM.int8() algorithm, which showed how to enable high-precision 8-bit matrix multiplication that is both fast and memory efficient. LLM.int8() is based on the discovery and characterization of sparse outlier sub-networks that only emerge at large model scales, but are crucial for effective Int8 quantization. For fine-tuning, he will introduce the QLoRA algorithm, which pushes such quantization much further to unlock fine-tuning of very large models on a single GPU by only updating a small set of the parameters while keeping most of the network in a new information-theoretically optimal 4-bit representation. For full training, he will present SWARM parallelism, which allows collaborative training of foundation models across continents on standard internet infrastructure while still being 80% as effective as the prohibitively expensive supercomputers that are currently used. Finally, he will close by outlining his plans to make foundation models 100x more accessible, which will be needed to maintain truly open AI-based scientific innovation as models continue to scale.

Speaker Biography: Tim Dettmers’ research focuses on making foundation models, such as ChatGPT, accessible to researchers and practitioners by reducing their resource requirements. This involves developing novel compression and networking algorithms and building systems that allow for memory-efficient, fast, and cheap deep learning. These methods enable many more people to use, adapt, or train foundation models without affecting the quality of AI predictions or generations. Dettmers is a PhD candidate at the University of Washington and has won oral, spotlight, and best paper awards at conferences such as the International Conference on Learning Representations and the Conference and Workshop on Neural Information Processing Systems . He created the bitsandbytes library for efficient deep learning, which is growing at 1.4 million installations per month, and has received Google Open Source and PyTorch Foundation awards.

Data-Distributional Approaches for Generalizable Language Models Sang Michael Xie, Stanford University

March 25, 2024

Abstract: High-quality datasets are crucial for improving the capabilities and training efficiency of large language models. However, current datasets are typically prepared in an ad hoc, heuristic way. In this talk, Sang Michael Xie will present principled approaches to improving and understanding language models centered on the pre-training data distribution. First, he will describe how to improve the efficiency of training multipurpose language models by optimizing the mixture of data sources with robust optimization. Second, he will discuss an efficient importance resampling method for selecting relevant data from trillion-token-scale web datasets for training a specialized model. Finally, he will introduce a first theoretical analysis of in-context learning, a key capability of language models to learn from examples in a textual prompt, that traces the capability back to modeling coherence structure in the pre-training data.

Speaker Biography: Sang Michael Xie is a computer science PhD student at Stanford University advised by Percy Liang and Tengyu Ma. His research focuses on data-centric machine learning for language models, understanding pre-training and adaptation, and pre-training and self-training methods for robust machine learning. Xie was awarded a NDSEG Fellowship and was previously a student researcher at Google Brain. His work has been recognized as one of Scientific American ‘s World-Changing Ideas, published in flagship venues such as Science, and covered by media outlets including The New York Times, The Washington Post, Reuters, BBC News, IEEE Spectrum, and The Verge.

Data Privacy in the Decentralized Era Amrita Roy Chowdhury, University of California San Diego

March 21, 2024

Abstract: Data is today generated on smart devices at the edge, shaping a decentralized data ecosystem comprised of multiple data owners (clients) and a service provider (server). Clients interact with the server with their personal data for specific services, while the server performs analysis on the joint dataset. However, the sensitive nature of the data involved, coupled with the inherent misalignment of incentives between clients and the server, breeds mutual distrust. Consequently, a key question arises: How can we facilitate private data analytics within a decentralized data ecosystem comprised of multiple distrusting parties? Amrita Roy Chowdhury’s research shows a way forward by designing systems that offer strong and provable privacy guarantees while preserving complete data functionality. She accomplishes this by systematically exploring the synergy between cryptography and differential privacy, exposing their rich interconnections in both theory and practice. In this talk , she will focus on two systems, CryptE and EIFFeL, which enable privacy-preserving query analytics and machine learning, respectively.

Speaker Biography: Amrita Roy Chowdhury is a Computing Research Association and Computing Community Consortium Computing Innovation Fellow working with Kamalika Chaudhuri at the University of California San Diego. She graduated with her PhD from University of Wisconsin—Madison, where she was advised by Somesh Jha. Chowdhury completed her BE in computer science from the Indian Institute of Engineering Science and Technology, Shibpur, where she was awarded the President of India Gold Medal. Her work explores the synergy between differential privacy and cryptography through novel algorithms that expose the rich interconnections between the two areas, both in theory and practice. Chowdhury has been recognized as a Rising Star in Electrical Engineering and Computer Science in 2020 and 2021. She was also both a Facebook Fellowship finalist and selected as a Rising Star in Data Science by the University of Chicago in 2021.

Learning and Planning with Relational Abstractions Tom Silver, Massachusetts Institute of Technology

March 20, 2024

Abstract: Decision-making in robotics domains is complicated by continuous state and action spaces, long horizons, and sparse feedback. One way to address these challenges is to perform bilevel planning, where decision-making is decomposed into reasoning about “what to do” (task planning) and “how to do it” (continuous optimization). Bilevel planning is powerful, but it requires multiple types of domain-specific abstractions that are often difficult to design by hand. In this talk, Tom Silver will give an overview of his work on learning these abstractions from data; this work represents the first unified system for learning all the abstractions needed for bilevel planning. In addition to learning to plan, he will also discuss planning to learn, where the robot uses planning to collect additional data that it can use to improve its abstractions. His long-term goal is to create a virtuous cycle where learning improves planning and planning improves learning, leading to a very general library of abstractions and a broadly competent robot.

Speaker Biography: Tom Silver is a final-year PhD student at the Massachusetts Institute of Technology’s Department of Electrical Engineering and Computer Science, advised by Leslie Kaelbling and Josh Tenenbaum. His research is at the intersection of machine learning and planning with applications to robotics and often uses techniques from task and motion planning, program synthesis, and neuro-symbolic learning. Before graduate school, he was a researcher at Vicarious AI and received his BA with highest honors in computer science and mathematics from Harvard in 2016. Silver has also interned at Google Research (in brain robotics) and currently splits his time between MIT and the Boston Dynamics AI Institute. His work is supported by an NSF Fellowship and an MIT Presidential Fellowship.

Towards Scalable Decentralized Systems Mingyuan Wang, University of California, Berkeley

March 19, 2024

Abstract: Decentralized systems enable mutually distrusting parties to collaboratively control a system; this fosters trust as no single corrupted party can break the system, while utility is ensured through collective participation. In recent years, decentralized systems have found many applications, particularly within the blockchain ecosystem. Traditionally, the robustness and security of a decentralized system increase with the number of participating parties. Consequently, the primary objective of decentralization is to scale the system to accommodate as many parties as possible. However, the existing framework for realizing threshold cryptography, the core cryptographic primitive enabling decentralization, still relies on interactive setup processes, posing significant scalability challenges in real-world scenarios. Additionally, it lacks the flexibility to handle advanced features such as weights, dynamism, and multiverse, which are highly desired in practice. In this talk, Mingyuan Wang will discuss his research work that proposes new techniques to address these issues, which pave the way for truly scalable decentralized cryptographic systems. He will conclude the talk by briefly discussing other research problems that he is interested in.

Speaker Biography: Mingyuan Wang is a postdoctoral researcher at the University of California, Berkeley, hosted by Sanjam Garg. He received his PhD from Purdue University, where he was advised by Hemanta K. Maji. Wang is interested in cryptography and its interplay with theoretical computer science and security. His research covers a wide range of topics, including threshold cryptography, secure multiparty computation, leakage-resilient cryptography, and cryptographic applications in machine learning. His work has been published at top venues, such as Crypto, Eurocrypt, the IEEE Symposium on Security and Privacy, the ACM Conference on Computer and Communications Security, the Conference on Neural Information Processing Systems, the Theory of Cryptography Conference, the IEEE International Symposium on Information Theory, and more.

Knowledge-Rich Language Systems in a Dynamic World Eunsol Choi, University of Texas at Austin

March 15, 2024

Abstract: Natural language provides an intuitive and powerful interface to access knowledge at scale. Modern language systems draw information from two rich knowledge sources: (1) information stored in their parameters during massive pretraining and (2) documents retrieved at inference time. Yet we are far from building systems that can reliably provide information from such knowledge sources. In this talk, Eunsol Choi will discuss paths for more robust systems. In the first part of her talk, she will present a module for scaling retrieval-based knowledge augmentation, learning a compressor that maps retrieved documents into textual summaries prior to in-context integration; this not only reduces the computational costs but also filters irrelevant or incorrect information. In the second half of her talk, she will discuss the challenges of updating knowledge stored in model parameters and propose a method to prevent models from reciting outdated information by identifying facts that are prone to rapid change. She will conclude her talk by proposing an interactive system that can elicit information from users when needed.

Speaker Biography: Eunsol Choi is an assistant professor of computer science at the University of Texas (UT) at Austin. Prior to teaching at UT, she spent a year at Google AI as a visiting researcher. Choi’s research area spans natural language processing and machine learning; she is particularly interested in interpreting and reasoning about text in a dynamic, real-world context. She is a recipient of a Meta Research PhD Fellowship, a Google Faculty Research Award, a Sony Research Award, and an Outstanding Paper Award at the Conference on Empirical Methods in Natural Language Processing. She received a PhD in computer science and engineering from the University of Washington and a BA in mathematics and computer science from Cornell University.

Foundations of Multisensory Artificial Intelligence Paul Liang, Carnegie Mellon University

March 12, 2024

Abstract: Building multisensory AI systems that learn from multiple sensory inputs—such as text, speech, video, real-world sensors, wearable devices, and medical data—holds great promise for many scientific areas in terms of practical benefits, such as supporting human health and well-being, enabling multimedia content processing, and enhancing real-world autonomous agents. In this talk, Paul Liang will discuss his research on the machine learning principles of multisensory intelligence, as well as practical methods for building multisensory foundation models over many modalities and tasks. In the first half of the seminar, Liang will present a theoretical framework formalizing how modalities interact with each other to give rise to new information for a task. These interactions are the basic building blocks in all multimodal problems and their quantification enables users to understand multimodal datasets and design principled approaches to learn these interactions. In the second half of the seminar, Liang will present his work in cross-modal attention and the multimodal transformer architectures that now underpin many of today’s multimodal foundation models. Finally, he will discuss his collaborative efforts in scaling AI to many modalities and tasks for real-world impact on affective computing, mental health, and cancer prognosis.

Speaker Biography: Paul Liang is a PhD student in machine learning at Carnegie Mellon University, advised by Louis-Philippe Morency and Ruslan Salakhutdinov. He studies the machine learning foundations of multisensory intelligence to design practical AI systems that integrate, learn from, and interact with a diverse range of real-world sensory modalities. His work has been applied in affective computing, mental health, pathology, and robotics. He is a recipient of the Siebel Scholars Award, the Waibel Presidential Fellowship, a Meta Research PhD Fellowship, the Center for Machine Learning and Health Fellowship and was named a Rising Star in data science. He has additionally received three Best Paper or Honorable Mention Awards at International Conference on Multimodal Interaction and Conference on Neural Information Processing Systems workshops. Outside of research, Liang received the Alan J. Perlis Graduate Student Teaching Award for instructing courses on multimodal machine learning and advising students around the world in directed research.

Hardware-Aware Efficient Primitives for Machine Learning Dan Fu, Stanford University

March 7, 2024

Abstract: Efficiency is increasingly tied to quality in machine learning, with more efficient training algorithms leading to more powerful models. However, today’s most popular machine learning models are built on asymptotically inefficient primitives. For example, attention in transformers scales quadratically with input size, while multilayer perceptrons scale quadratically with model dimension. In this talk, Dan Fu discusses his work on improving the efficiency of core primitives in machine learning, with an emphasis on hardware-aware algorithms and long-context applications. First, he focuses on replacing attention with gated state space models (SSMs) and convolutions, which scale sub-quadratically in context length. He describes the H3 (Hungry Hungry Hippos) architecture, a gated SSM architecture that matches transformers in quality up to 3B parameters and achieves 2.4x faster inference. Second, he focuses on developing hardware-aware algorithms for SSMs and convolutions; he describes FlashFFTConv, a fast algorithm for computing SSMs and convolutions on GPU by optimizing the fast Fourier transform (FFT). FlashFFTConv yields up to 7x speedup and 5x memory savings, even over vendor solutions from NVIDIA. Third, he will briefly touch on how these same techniques can also be used to develop sub-quadratic scaling in the model dimension. He will describe Monarch Mixer, which uses a generalization of the FFT to achieve sub-quadratic scaling in both sequence length and model dimension. Throughout the talk, he will give examples of how these ideas are beginning to take hold, with gated SSMs and their variants now leading to state-of-the-art performance in long-context language models, embedding models, and DNA foundation models.

Speaker Biography: Dan Fu is a PhD student in the Computer Science Department at Stanford University, where he is co-advised by Christopher Ré and Kayvon Fatahalian. His research interests are at the intersection of systems and machine learning. Recently, Fu has focused on developing algorithms and architectures to make machine learning more efficient, especially for enabling longer-context applications. His research has appeared as oral and spotlight presentations at the Conference on Neural Information Processing Systems, the International Conference on Machine Learning, and the International Conference on Learning Representations; he additionally received the Best Student Paper Runner-Up Award at the Conference on Uncertainty in Artificial Intelligence and has been supported by a  National Defense Science and Engineering Graduate Fellowship.

Learning to See the World in 3D Ayush Tewari, Massachusetts Institute of Technology

March 6, 2024

Abstract: Humans can effortlessly construct rich mental representations of the 3D world from sparse input, such as a single image. This is a core aspect of intelligence that helps us understand and interact with our surroundings and with each other. Ayush Tewari’s research aims to build similar computational models: artificial intelligence methods that can perceive properties of the 3D structured world from images and videos. Despite remarkable progress in 2D computer vision, 3D perception remains an open problem due to some unique challenges, such as limited 3D training data and uncertainties in reconstruction. In this talk, Tewari will discuss these challenges and explain how his research addresses them by posing vision as an inverse problem and by designing machine learning models with physics-inspired inductive biases. He will demonstrate techniques for reconstructing 3D faces and objects and for reasoning about uncertainties in scene reconstruction using generative models. He will then discuss how these efforts advance scalable and generalizable visual perception and how they advance application domains such as robotics and computer graphics.

Speaker Biography: Ayush Tewari is a postdoctoral researcher at the Massachusetts Institute of Technology’s Computer Science and Artificial Intelligence Laboratory with William Freeman, Vincent Sitzmann, and Joshua Tenenbaum. He previously completed his PhD at the Max Planck Institute for Informatics, where he was advised by Christian Theobalt. His research interests lie at the intersection of computer vision, computer graphics, and machine learning, focusing on 3D perception and its applications. Tewari was awarded the Otto Hahn Medal from the Max Planck Society for his scientific contributions as a PhD student.

Integrative Modeling of Multiscale Single-Cell Spatial Epigenome Jian Ma, Carnegie Mellon University

March 5, 2024

Abstract: Despite significant advancements in high-throughput data acquisition in genomics and cell biology, our understanding of the diverse cell types within the human body remains limited. Particularly, the principles governing intracellular molecular spatial organization and cellular spatial organization within complex tissues are still largely unclear. A major challenge lies in developing computational methods capable of integrating heterogeneous and multiscale molecular, cellular, and tissue information. In this talk, Jian Ma will discuss his recent work on creating integrative approaches for single-cell spatial epigenomics and transcriptomics. These methods hold the potential to reveal new insights into fundamental genome structure and cellular function, as well as the spatial organization of cells within complex tissues, across a wide range of biological contexts in health and disease.

Speaker Biography: Jian Ma is the Ray and Stephanie Lane Professor of Computational Biology at Carnegie Mellon University’s School of Computer Science. His lab focuses on developing computational methods to study the structure and function of the human genome and cellular organization and their implications for evolution, health, and disease. He currently leads a multidisciplinary NIH center as part of the NIH 4D Nucleome Program. His recent work has been supported by the NIH, the NSF, the Chan Zuckerberg Initiative , Google, and the Mark Foundation. He has received several awards, including an NSF CAREER Award and a Guggenheim Fellowship in computer science, and is an elected fellow of the American Association for the Advancement of Science.

Improving, Evaluating, and Detecting Long-Form LLM-Generated Text Mohit Iyyer, University of Massachusetts Amherst

March 1, 2024

Abstract: Recent advances in large language models have enabled them to process texts exceeding 100,000 tokens in length, fueling demand for long-form language processing tasks such as the summarization or translation of books. However, LLMs struggle to take full advantage of the information within such long contexts, which contributes to factually incorrect and incoherent text generation. In this talk, Mohit Iyyer will first demonstrate an issue that plagues even modern LLMs: their tendency to assign high probability to implausible long-form continuations of their input. He will then describe a contrastive sequence-level ranking model that mitigates this problem at decoding time and that can also be adapted to the reinforcement learning from human feedback alignment paradigm. Next, he will consider the growing problem of long-form evaluation : As the length of the inputs and outputs of long-form tasks grows, how do we even measure progress (via both humans and machines)? He proposes a high-level framework that first decomposes a long-form text into simpler atomic units before then evaluating each unit on a specific aspect. He demonstrates the framework’s effectiveness at evaluating factuality and coherence on tasks such as biography generation and book summarization. He will also discuss the rapid proliferation of LLM-generated long-form text, which plagues not only evaluation (e.g., via Mechanical Turkers using ChatGPT to complete tasks) but also society as a whole, and he will describe novel watermarking strategies to detect such text. Finally, he will conclude by discussing his future research vision, which aims to extend long-form language processing to multilingual, multimodal, and collaborative human-centered settings.

Speaker Biography: Mohit Iyyer is an associate professor in computer science at the University of Massachusetts Amherst, with a primary research interest in natural language generation. He is the recipient of Best Paper Awards at the 2016 and 2018 Annual Conferences of the North American Chapter of the Association for Computational Linguistics, an Outstanding Paper Award at the 2023 Conference of the European Chapter of the Association for Computational Linguistics, and a Best Demo Award at the 2015 Conference on Neural Information Processing Systems; he also received the 2022 Samsung AI Researcher of the Year award. Iyyer obtained his PhD in computer science from the University of Maryland, College Park in 2017 and spent the following year as a researcher at the Allen Institute for AI.

Stochastic Computer Graphics Silvia Sellán, University of Toronto

February 29, 2024

Abstract: Computer graphics research has long been dominated by the interests of large film, television, and social media companies, forcing other, more safety-critical applications (e.g., medicine, engineering, security) to repurpose graphics algorithms originally designed for entertainment. In this talk, Silvia Sellán will advocate for a perspective shift in this field that allows researchers to design algorithms directly for these safety-critical application realms. She will show that this begins by reinterpreting traditional graphics tasks (e.g., 3D modeling and reconstruction) from a statistical lens and quantifying the uncertainty in algorithmic outputs, as exemplified by the research she has conducted for the past five years. She will end by mentioning several ongoing and future research directions that carry this statistical lens to entirely new problems in graphics and vision and into specific applications.

Speaker Biography: Sellán is a fifth-year computer science PhD student at the University of Toronto, working in computer graphics and geometry processing. She is a Vanier Doctoral Scholar, an Adobe Research Fellow, and the winner of the 2021 University of Toronto Arts & Science Dean’s Doctoral Excellence Scholarship. She has interned twice at Adobe Research and twice at the Fields Institute of Mathematics. She is also a founder and organizer of the Toronto Geometry Colloquium and a member of the ACM Community Group for Women in Computer Graphics Research.

Decision-Making with Internet-Scale Knowledge Sherry Yang, University of California, Berkeley

February 28, 2024

Abstract: Machine learning models pre-trained on internet data have acquired broad knowledge about the world, but struggle to solve complex tasks that require extended reasoning and planning. Sequential decision-making, on the other hand, has empowered AlphaGo’s superhuman performance, but lacks visual, language, and physical knowledge about the world. In this talk, Sherry Yang will present her research towards enabling decision making with internet-scale knowledge. First, she will illustrate how language models and video generation are unified interfaces that can integrate internet knowledge and represent diverse tasks, enabling the creation of a generative simulator to support real-world decision-making. Second, she will discuss her work on designing decision-making algorithms that can take advantage of generative language and video models as agents and environments. Combining pre-trained models with decision-making algorithms can effectively enable a wide range of applications such as developing chatbots, learning robot policies, and discovering novel materials.

Speaker Biography: Sherry Yang is a final-year PhD student at the University of California, Berkeley, advised by Pieter Abbeel; she is also a senior research scientist at Google DeepMind. Her research aims to develop machine learning models with internet-scale knowledge to make better-than-human decisions. To this end, she has developed techniques for generative modeling and representation learning from large-scale vision, language, and structured data, coupled with developing algorithms for sequential decision-making such as imitation learning, planning, and reinforcement learning. Yang initiated and led the Foundation Models for Decision Making workshop at the 2022 and 2023 Conferences on Neural Information Processing Systems, bringing together research communities in vision, language, planning, and reinforcement learning to solve complex decision-making tasks at scale. Before her current role, Yang received her bachelor’s and master’s degrees from the Massachusetts Institute of Technology, where she was advised by Patrick Winston and Julian Shun.

Building Planetary-Scale Collaborative Intelligence Sai Praneeth Karimireddy, University of California, Berkeley

February 22, 2024

Abstract: Today, access to high-quality data has become the key bottleneck to deploying machine learning. Often, the data that is most valuable is locked away in inaccessible silos due to unfavorable incentives and ethical or legal restrictions. This is starkly evident in health care, where such barriers have led to highly biased and underperforming tools. In his talk, Sai Praneeth Karimireddy will describe how collaborative systems, such as federated learning, provide a natural solution; they can remove barriers to data sharing by respecting the privacy and interests of the data providers. Yet for these systems to truly succeed, three fundamental challenges must be confronted: These systems need to 1) be efficient and scale to large networks, 2) provide reliable and trustworthy training and predictions, and 3) manage the divergent goals and interests of the participants. Karimireddy will discuss how tools from optimization, statistics, and economics can be leveraged to address these challenges.

Speaker Biography: Sai Praneeth Karimireddy is a postdoctoral researcher at the University of California, Berkeley with Mike I. Jordan . Karimireddy obtained his undergraduate degree from the Indian Institute of Technology Delhi and his PhD at the Swiss Federal Institute of Technology Lausanne (EPFL) with Martin Jaggi . His research builds large-scale machine learning systems for equitable and collaborative intelligence and designs novel algorithms that can robustly and privately learn over distributed data (i.e., edge, federated, and decentralized learning). He also closely engages with industry and public health organizations (e.g., Doctors Without Borders , the Red Cross ,  the Cancer Registry of Norway ) to translate his research into practice. His work has previously been deployed across industry by Meta , Google , OpenAI , and Owkin and has been awarded with the EPFL Patrick Denantes Memorial Prize for the best computer science thesis, the  Dimitris N. Chorafas Foundation Award for exceptional applied research, an EPFL thesis distinction award, a  Swiss National Science Foundation fellowship , and best paper awards at the International Workshop on Federated Learning for User Privacy and Data Confidentiality at the 2021 International Conference on Machine Learning and the International Workshop on Federated Learning: Recent Advances and New Challenges at the Thirty-Sixth Annual Conference on Neural Information Processing Systems.

Investigate and Mitigate the Attacks Caused by Out-of-Band Signals Xiali Hei, University of Louisiana at Lafayette

February 20, 2024

Abstract: Sensing and actuation systems are entrusted with increasing intelligence to perceive and react to the environment, but their reliability often relies on the trustworthiness of sensors. As process automation and robotics keep evolving, sensing methods such as pressure, temperature, and motion sensing are extensively used in conventional systems and rapidly emerging applications. This talk aims to investigate the threats incurred by the out-of-band signals and discuss the low-cost defense methods against physical injection attacks on sensors. Hei will present her paper results from the USENIX Security Symposium, ACM Conference on Computer and Communications Security (CCS) , ACM Asia CSS , Secure and Trustworthy Deep Learning Systems Workshop, Joint Workshop on CPS & IoT Security and Privacy , and European Alliance for Innovation’s  International Conference on Security and Privacy in Cyber-Physical Systems and  Smart  Vehicles .

Speaker Biography: Xiali “Sharon” Hei has been an Alfred and Helen M. Lamson Endowed Associate Professor in the School of Computing and Informatics at the University of Louisiana at Lafayette since August, 2023. She was previously an Alfred and Helen M. Lamson Endowed Assistant Professor from August 2017 to July 2023. Prior to joining the University of Louisiana at Lafayette, she was an assistant professor at Delaware State University from 2015–2017 and an assistant professor at Frostburg State University from 2014–2015. Hei has received a number of awards, including an Alfred and Helen M. Lamson Endowed Professorship; an Outstanding Achievement Award in Externally Funded Research; numerous recognitions from the NSF, including a Track 4 Faculty Fellowship, a Secure and Trustworthy Cyberspace award, a Major Research Instrumentation award, an Established Program to Stimulate Competitive Research RII Track 1 award, a Computer and Information Science and Engineering Research Initiation Initiative award; a Meta research award; funding from the Lousiana Board of Regents Support Fund; a Delaware Economic Development Office grant; a Best Paper Award at the European Alliance for Innovation’s  International Conference on Security and Privacy in Cyber-Physical Systems and  Smart Vehicles; a Best Poster Runner-Up Award at the 2014 ACM International Symposium on Mobile Ad Hoc Networking and Computing; a Dissertation Completion Fellowship; the Bronze Award Best Graduate Project in Future of Computing Competition, and more. Her papers have been published at venues such as the USENIX Security Symposium, t he ACM Conference on Computer and Communications Security , the Institute of Electrical and Electronics Engineers ( IEEE) International Conference on Computer Communications (ICC) , the IEEE European Symposium on Security and Privacy (EuroS&P) , the International Symposium on Research in Attacks, Intrusions and Defenses, and the ACM Asia Conference on Computer and Communications Security . Hei is a TPC member of the USENIX Security Symposium, IEEE EuroS&P, PST, the IEEE  Global Communications Conference , SafeThings, AutoSec, IEEE ICC, the International Conference on Wireless Artificial Intelligent Computing Systems and Applications, and more. She has also been an IEEE senior member since 2019. Hei earned a BS in electrical engineering from Xi’an Jiaotong University and an MS in software engineering from Tsinghua University.

Replicability in Machine Learning Jessica Sorrell, University of Pennsylvania

February 15, 2024

Abstract: Replicability is vital to ensuring scientific conclusions are reliable, but failures of replicability have been a major issue in nearly all scientific areas of study; machine learning is no exception. While failures of replicability in machine learning are multifactorial, one obstacle to replication efforts is the ambiguity in whether or not a replication effort was successful when many good models exist for a task. In this talk, we will discuss a new formalization of replicability for batch and reinforcement learning algorithms and demonstrate how to solve fundamental tasks in learning under the constraints of replicability. We will also discuss how replicability relates to other algorithmic desiderata in responsible computing, such as differential privacy.

Speaker Biography: Jessica Sorrell is a postdoctoral researcher at the University of Pennsylvania, where she works with Aaron Roth and Michael Kearns. She completed her PhD at the University of California San Diego, advised by Russell Impagliazzo and Daniele Micciancio. She is broadly interested in the theoretical foundations of responsible computing and her work spans a variety of pressing issues in machine learning, such as replicability, privacy, and fairness.

Towards More Human-Like Learning in Machines: Bridging the Data and Generalization Gaps Brenden M. Lake, New York University

February 12, 2024

Abstract: There is an enormous data gap between how AI systems and children learn language: The best LLMs now learn language from text with a word count in the trillions, whereas it would take a child roughly 100K years to reach those numbers through speech. There is also a clear generalization gap: Whereas machines struggle with systematic generalization, people excel. For instance, once a child learns how to “skip,” they immediately know how to “skip twice” or “skip around the room with their hands up” due to their compositional skills. In this talk, Brenden Lake will describe two case studies in addressing these gaps. The first addresses the data gap, in which deep neural networks were trained from scratch, not on large-scale data from the web, but through the eyes and ears of a single child. Using head-mounted video recordings from a child, this study shows how deep neural networks can acquire many word-referent mappings, generalize to novel visual referents, and achieve multi-modal alignment. The results demonstrate how today’s AI models are capable of learning key aspects of children’s early knowledge from realistic input. The second case study addresses the generalization gap. Can neural networks capture human-like systematic generalization? This study addresses a 35-year-old debate catalyzed by Fodor and Pylyshyn’s classic article, which argued that standard neural networks are not viable models of the mind because they lack systematic compositionality—the algebraic ability to understand and produce novel combinations from known components. This study shows how neural networks can achieve humanlike systematic generalization when trained through meta-learning for compositionality (MLC), a new method for optimizing the compositional skills of neural networks through practice. With MLC, a neural network can match human performance and solve several machine learning benchmarks. Given this work, we’ll discuss the paths forward for building machines that learn, generalize, and interact in more humanlike ways based on more natural input.

Speaker Biography: Brenden M. Lake is an assistant professor of psychology and data science at New York University. He received his MS and BS in symbolic systems from Stanford University in 2009 and his PhD in cognitive science from the Massachusetts Institute of Technology in 2014. Lake was a postdoctoral data science fellow at NYU from 2014–2017. He is a recipient of the Robert J. Glushko Prize for Outstanding Doctoral Dissertation in Cognitive Science, he was named an Innovator Under 35 by MIT Technology Review , and his research was selected by Scientific American as one of the 10 most important advances of 2016. Lake’s research focuses on computational problems that are easier for people than they are for machines, such as learning new concepts, creating new concepts, learning to learn, and asking questions.

Modern Algorithms for Massive Graphs: Structure and Compression Ben Moseley, Carnegie Mellon University

February 1, 2024

Abstract: This talk will discuss the area of algorithms with predictions, also known as learning-augmented algorithms. These methods parameterize algorithms with machine-learned predictions, enabling the algorithms to tailor their decisions to input distributions and to allow for improved performance on runtime, space, or solution quality. This talk will discuss recent developments on how to leverage machine-learned predictions to improve the runtime efficiency of algorithms for optimization and data structures. The talk will also discuss how to achieve “instance-optimal” algorithms when the predictions are accurate and the algorithm’s performance gracefully degrades when there are errors in the predicted advice. The talk will illustrate via examples such as bipartite matching the potential of the area to realize significant performance improvements for algorithm efficiency.

Speaker Biography:  Ben Moseley is the Carnegie-Bosch Associate Professor of Operations Research at Carnegie Mellon University and is a consulting scientist at Relational AI. He obtained his PhD from the University of Illinois. During his career, his papers have won best paper awards at IPDPS (2015), SPAA (2013), and SODA (2010). His papers have been recognized as top publications with honors such as Oral Presentations at NeurIPS (2021, 2017) and NeurIPS Spotlight Papers (2023, 2018). He has served as area chair for ICML, ICLR, and NeurIPS every year since 2020 and has been on many program committees, including SODA (2022, 2018), ESA (2017), and SPAA (2024, 2022, 2021, 2016). He was an associate editor for IEEE Transactions on Knowledge and Data Engineering from 2018–2022 and has served as associate editor of Operations Research Letters since 2017. He has won an NSF CAREER Award, two Google Research Faculty Awards, a Yahoo ACE Award, and an Infor faculty award. He was selected as a Top 50 Undergraduate Professor by Poets & Quants. His research interests broadly include algorithms, machine learning, and discrete optimization. He is currently excited about robustly incorporating machine learning into decision-making processes.

Normativity and the AI Alignment Problem Gillian Hadfield, University of Toronto, School of Law

January 25, 2024

Abstract: The alignment problem in AI is currently framed in a variety of ways: It is the challenge of building AI systems that do as their designers intend, or as their users prefer, or as would benefit society. In this talk Gillian Hadfield connects the AI alignment problem to the far more general problem of how humans organize cooperation societies. From the perspective of an economist and legal scholar, alignment is the problem of how to organize society to maximize human well-being—however that is defined. Hadfield will argue that “solving” the AI alignment problem is better thought of as the problem of how to integrate AI systems, especially agentic systems, into our human normative systems. She will present results from collaborations with computer scientists that begin the study of how to build normatively competent AI systems—AI that can read and participate in human normative systems—and normative infrastructure that can support AI’s normative competence.

Probabilistic Methods for Designing Functional Protein Structures Brian Trippe, Columbia University

January 23, 2024

Abstract: The biochemical functions of proteins, such as catalyzing a chemical reaction or binding to a virus, are typically conferred by the geometry of only a handful of atoms. This arrangement of atoms, known as a motif, is structurally supported by the rest of the protein, referred to as a scaffold. A central task in protein design is to identify a diverse set of stabilizing scaffolds to support a motif known or theorized to confer function. This long-standing challenge is known as the motif-scaffolding problem. In this talk, Brian Trippe describes a statistical approach he has developed to address the motif-scaffolding problem. His approach involves (1) estimating a distribution supported on realizable protein structures and (2) sampling scaffolds from this distribution conditioned on a motif. For the first step, he adapts diffusion generative models to fit example protein structures from nature. For the second step, he develops sequential Monte Carlo algorithms to sample from the conditional distributions of these models. He finally describes how, with experimental and computational collaborators, he has generalized and scaled this approach to generate and experimentally validate hundreds of proteins with various functional specifications.

Speaker Biography: Brian Trippe is a postdoctoral fellow at Columbia University in the Department of Statistics and a visiting researcher at the Institute for Protein Design at the University of Washington. He completed his PhD in computational and systems biology at the Massachusetts Institute of Technology, where he worked on Bayesian methods for inference in high-dimensional linear models. In his research, Trippe develops statistical machine learning methods to address challenges in biotechnology and medicine, with a focus on generative modeling and inference algorithms for protein engineering.

Towards an Open Mobile Networking Ecosystem Mahesh Marina, University of Edinburgh

January 18, 2024

Abstract: Mobile (cellular) networks traditionally have been closed systems, developed as vertically integrated, black-box appliances by a few equipment vendors and deployed by a handful of national-scale mobile network operators in each country—all in all, a small ecosystem. However, we have witnessed a radical transformation in the design and deployment of mobile networking systems in the recent past that reflects a path toward greater openness. In this talk, Marina will give his perspective on the key drivers, economic and beyond, behind this trend and the main enablers for this transformation. He will complement this by outlining his key research contributions in this direction. Further, he will highlight two of his recent works: (1) on rearchitecting the mobile core control plane for efficient cloud-native operation and to be more open (i.e., better suited for multi-vendor realization); and (2) on radio access network root cause analysis as a key challenge for Open RAN, as well as a compelling use case of the AI-powered and data-driven operations it enables.

Speaker Biography: Mahesh Marina is a professor in the School of Informatics at the University of Edinburgh, where he leads the Networked Systems Research Group. He is currently spending his sabbatical time at the Johns Hopkins University’s Department of Computer Science as a visiting professor. Previously, Marina was a Turing Fellow at the Alan Turing Institute, the UK’s national institute for data science and AI, for five years, 2018–2023; he also served as the director of the Institute for Computing Systems Architecture within Informatics@Edinburgh for four years, until July 2022. Prior to joining the University of Edinburgh, Marina had a two-year postdoctoral stint at the UCLA Computer Science Department after earning his PhD in computer science from the State University of New York at Stony Brook. He has previously held visiting researcher positions at ETH Zurich and at Ofcom, the UK’s telecommunications regulator, at its headquarters in London. Marina is an ACM Distinguished Member and an IEEE Senior Member.

Securing 5G Against Fragile and Malicious Infrastructure Alex Marder, Johns Hopkins University

January 16, 2024

Abstract: In early 2020, the U.S. government revealed its belief that China might be able to eavesdrop on 5G communications through Huawei network equipment. This has enormous ramifications for DOD and State Department communications overseas, since these backdoors could provide our adversaries with information that allows them to glean insights into operations or harm personnel. Later that same year, wired and wireless networks in the greater Nashville area failed when a bomb damaged a single network facility. The outage affected nearly every aspect of modern society, including grounding flights, disrupting economic activity, and disconnecting 911. These two events highlight the enormous challenge of securing critical communications: We need to secure our communications against threats within the telecommunications infrastructure and secure it from external attack. This talk will discuss both of these challenges. First, Marder will use the Nashville outage as a blueprint to show that it remains surprisingly easy for attackers to induce large-scale communications outages around the U.S. without any insider information or specialized access. Second, he will discuss innovative methods for identifying and circumventing the potential threats placed by nation-state adversaries within the infrastructure, along with methods for ensuring that communications only traverse benign infrastructure.

Speaker Biography: Alex Marder is an assistant professor of computer science at Johns Hopkins University and a member of the Institute for Assured Autonomy. Marder’s research covers a wide breadth of networking areas, including the use of empirical analyses and machine learning to evaluate and improve the security and performance of wired and wireless networks. His current work leverages a deep understanding of network architecture and deployment to design secure 5G communication networks for the Department of Defense, reveal security weaknesses in domestic internet access networks, and provide a better understanding of broadband inequity. He received a BS from Brandeis University and a PhD from the University of Pennsylvania. Prior to joining Johns Hopkins, he was a research scientist at CAIDA at UC San Diego.

Computational Methods for Human Networks and High-Stakes Decisions Serina Yongchen Chang, Stanford University

Computer Science Speaker Series

December 5, 2023

Abstract: In an interconnected world, effective policymaking increasingly relies on understanding large-scale human networks. However, there are many challenges to understanding networks and how they impact decision-making, including (1) how to infer human networks, which are typically unobserved, from data; (2) how to model complex processes, such as disease spread, over networks and inform decision-making; and (3) how to estimate the impacts of decisions, in turn, on human networks. In this talk, I’ll discuss how I’ve addressed each of these challenges in my research. I’ll focus mainly on COVID-19 pandemic response as a concrete application, where we’ve developed new methods for network inference and epidemiological modeling, and have deployed decision-support tools for policymakers. I’ll also touch on other network-driven challenges, including political polarization and supply chain resilience.

Formal Verification of Financial Algorithms with Imandra Grant Passmore, Imandra Inc.

November 14, 2023

Abstract: Many deep issues plaguing today’s financial markets are symptoms of a fundamental problem: The complexity of algorithms underlying modern finance has significantly outpaced the power of traditional tools used to design and regulate them. At Imandra, we have pioneered the application of formal verification to financial markets, where firms like Goldman Sachs, Itiviti, and OneChronos already rely upon Imandra’s algorithm governance tools for the design, regulation, and calibration of many of their most complex algorithms. With a focus on financial infrastructure (e.g., the matching logics of national exchanges and dark pools), we will describe the landscape and illustrate our Imandra system on a number of real-world examples. We’ll sketch many open problems and future directions along the way.

Speaker Biography: Grant Passmore is the co-founder and co-CEO of Imandra Inc. Passmore is a widely published researcher in formal verification and symbolic Al and has more than fifteen years of industrial formal verification experience. He has been a key contributor to the safety verification of algorithms at Cambridge, Carnegie Mellon, Edinburgh, Microsoft Research, and SRI. He earned his PhD on automated theorem proving in algebraic geometry from the University of Edinburgh, is a graduate of UT Austin (BA in mathematics) and the Mathematical Research Institute in the Netherlands (master class in mathematical logic), and is a life member of Clare Hall, University of Cambridge.

Side Channel Attacks: Lessons Learned or Troubles Ahead? Daniel Genkin, Georgia Institute of Technology

October 19, 2023

Abstract: The security and architecture communities will remember the past five years as the era of side channels. Starting from Spectre and Meltdown, time and again we have seen how basic performance-improving features can be exploited to violate fundamental security guarantees. Making things worse, the rise of side channels points to a much larger problem, namely the presence of large gaps in the hardware-software execution contract on modern hardware. In this talk, I will give an overview of this gap, in terms of both security and performance. First, I will give a high-level survey on speculative execution attacks such as Spectre and Meltdown. I will then talk about how speculative attacks are still a threat to both kernel and browser isolation primitives, highlighting new issues on emerging architectures. Next, from the performance perspective, I will discuss new techniques for microarchitectural code optimizations, with an emphasis on cryptographic protocols and other compute-heavy workloads. Here I will show how seemingly simple, functionally equivalent code modifications can lead to significant changes in the underlying microarchitectural behavior, resulting in dramatic performance improvements. The talk will be interactive and include attack demonstrations.

Speaker Biography: Daniel Genkin is an Alan and Anne Taetle Early Career Associate Professor at the School of Cybersecurity and Privacy at Georgia Tech. Daniel’s research interests are in hardware and system security, with particular focus on side channel attacks and defenses. Daniel’s work has won the Distinguished Paper Award at IEEE Security and Privacy, an IEEE Micro Top Pick, and the Black Hat Pwnie Awards, as well as top-3 paper awards in multiple conferences. Most recently, Daniel has been part of the team performing the first analysis of speculative and transient execution, resulting in the discovery of Spectre, Meltdown, and follow-ups. Daniel has a PhD in computer science from the Technion Israel’s Institute of Technology and was a postdoctoral fellow at the University of Pennsylvania and the University of Maryland.

Towards Rigorously Tested & Reliable Machine Learning for Health Michael Oberst, Carnegie Mellon University

October 17, 2023

Abstract: How do we make machine learning as rigorously tested and reliable as any medication or diagnostic test? ML has the potential to improve decision-making in health care, from predicting treatment effectiveness to diagnosing disease. However, standard retrospective evaluations can give a misleading sense for how well models will perform in practice. Evaluation of ML-derived treatment policies can be biased when using observational data, and predictive models that perform well in one hospital may perform poorly in another. In this talk, I will introduce new tools to proactively assess and improve the reliability of machine learning in healthcare. A central theme will be the application of external knowledge, including review of patient records, incorporation of limited clinical trial data, and interpretable stress tests. Throughout, I will discuss how evaluation can directly inform model design.

Speaker Biography: Michael Oberst is an incoming assistant professor of computer science at Johns Hopkins and is currently a postdoc in the Machine Learning Department at Carnegie Mellon University. His research focuses on making sure that machine learning in health care is safe and effective, using tools from causal inference and statistics. His work has been published at a range of machine learning venues (NeurIPS, ICML, AISTATS, KDD), including work with clinical collaborators from Mass General Brigham, NYU Langone, and Beth Israel Deaconess Medical Center. He has also worked on clinical applications of machine learning, including work on learning effective antibiotic treatment policies (published in Science Translational Medicine ). He earned his undergraduate degree in Statistics at Harvard and his PhD in computer science at MIT.

From the calendar years 1997–2023.

• Spring 2023
• Summer 2022
• Spring 2022
• Summer 2021
• Spring 2021
• Spring 2020
• Summer 2019
• Spring 2019
• Summer 2018
• Spring 2018
• Summer 2017
• Spring 2017
• Summer 2016
• Spring 2016
• Spring 2015
• Spring 2014
• Spring 2013
• Spring 2012
• Spring 2011
• Spring 2010
• Spring 2009
• Spring 2008
• Spring 2007
• Spring 2006
• Spring 2005
• Spring 2004
• Spring 2003
• Spring 2002
• Spring 2001
• Spring 2000
• Spring 1999
• Spring 1998
• Summer 1997
• Spring 1997

51 Latest Seminar Topics for Computer Science Engineering (CSE)

Looking for seminar topics on Computer Science Engineering (CSE)?

This blog will help you identify the most trending and latest seminar topics for CSE.

Computer Science Engineering, among all other engineering courses, is the recent trend among students passing 12th board exams. It is an academic program that encompasses broad topics related to computer application and computer science. 

A CSE curriculum comprises many computational subjects, including various programming languages, algorithms, cryptography, computer applications, software designing, etc. 

In the uprising of the technological era, the trend for computer-related courses is in high demand. Courses such as BCA (Bachelors of Computer Application), MCA (Masters of Computer Application), Engineering in Computer Science are specifically designed to train students in the field of Computer Science.

Moreover, various online programs have been developed, and seminars are conducted to help students achieve their goals.

Here, you’ll find the list of seminar topics on Computer Science Engineering (CSE) that will help you to be dedicated and engaged with your computer world. 

51 Seminar Topics for Computer Science Engineering (CSE)

What is a Seminar?

A seminar is a form of academic/technical education where participants focus on a specific topic or subject in recurring meetings or single meetings. It helps in achieving essential academic skills and develop critical thinking among the participants.

Check out the latest collection of seminar topics for CSE, latest technical CSE MCA IT seminar topics, recent essay topics, speech ideas, dissertation, thesis, IEEE and MCA seminar topics for BTech, MTech, BCA, and MCA Students.

Finger Print Authentication

Fingerprints are the most common means of authenticating biometrics—the distinctive attribute and pattern of a fingerprint consist of lines and spaces.

Big Data Analysis for Customer Behaviour

Big data is a discipline that deals with methods of analyzing, collecting information systematically, or otherwise dealing with collections of data that are too large or too complex for conventional device data processing applications.

Interconnection of Computer Networks

In fixing inter-organizational relationships, networks must be interconnected. A parallel machine interconnection network sends information to every desired destination node from every source node.

Parasitic Computing

Parasite computing is a technique in which a computer may execute complex computations in a standard permitted interface with another program. 

IT in Space

For the first time from outside space, the experiments were carried out from discovery flybys to controlled flights. As in most others, spatial analysis has also been carried out with powerful computers in broader simulations.

To ship and control their apps, Pixeom uses containers on edge. Pixeom is cloud-agnostic on the tech side. Pixeom is the first cloud service installed in a package and the first service to connect internationally and create an increasing user network and content.

Wireless Local Loop

Wireless local loops are a common concept in a telecommunications network for a method of connectivity that uses a wireless connection to link customers to the local exchange instead of traditional copper cables. 

A smart card is a plastic card with a computer chip that stores and transacts data between users. The card data is transmitted through a computer device reader.

Virtual Reality

“Virtual reality is a way for people to visualize, manipulate, and interact with very complex data and computers.” In the last few years, Virtual Reality has brought a lot of popularity among users, also known as Virtual World (VE).

Random Number Generators

This paper tests the Random Number Generator (RNG) based on the hardware used in encryption applications. The paper simulates an algorithm for the random number generator that is fast and efficient, and the function generates a 50% different value.

HTML HyperText Markup Language

HTML is the Hyper-Text Language Markup, also know as labeling language to design and construct web pages. HTML is a hypertext language mixture of Markup, and the hypertext defines the relation between web pages.

Personal Computer and AutoCAD

AutoCAD is a computer-aided technology that can produce numerous sketches and prototypes for several types of designers. AutoCAD is a double-dimensional and three-dimensional modeling software line, and CAD stands for “Computer-Aided Design.”

A Secure Dynamic Multi-keyword Ranked Search Scheme Over Encrypted Cloud Data

This paper proposes a safe, effective, and interactive search scheme that allows for precise multi-keyword searching and dynamic document elimination.

Rover Mission Using JAVA Technology

Nowadays, Java technology is excellent for general computing and GUIs but not ready for control devices such as the Rover program. The project “Golden Gate” aims at using RTSJ JAVA in real-time.

Wavelet Transforms In Colored Image Steganography

Digital Steganography uses the host data to mask information from a human observer in such a manner that it is imperceptible. This map is translated into Wavelet.

Hamming Cut Matching Algorithm

Hamburg Cut Matching Algorithm reduces the time for comparing the irises to the database so that in the case of large datasets, such as the voting method, we can use iris recognition.

Smart Quill

Smart Quill is a device that users will use to enter information in apps by pressing a button on the pen and punching the information they would like to enter. SmartQuill is considerably larger in size than a common fountain pen.

Implementation of CP

This system is ideal for maintaining product information, upgrading the inventory based on sales details, producing sales receipts, periodic sales, inventory reports, etc.

The Freenet network offers an efficient way to store and retrieve anonymous information. The device keeps knowledge anonymous and accessible by using cooperating nodes while being highly scalable, alongside an effective adaptive routing algorithm.

Silent Sound Technology

‘Silent Sound’ is directed at noticing and translating all the lip gestures into sounds that can support people who are losing voices and can call softly without distracting others.

Data Warehousing

Data Warehousing is the method of designing and utilizing a data storage system. A data warehouse is developed by combining several heterogeneous information sources, enabling analytical reporting, organized or ad hoc inquiries, and decision-making.

Wireless Application Protocol

Wireless Application Protocol (WAP) is a technical standard for handheld wireless network connectivity. A WAP browser is a web browser used as a protocol for smart devices like mobile phones.

Tripwire Intrusion System

Open Source Tripwire is a free software protection and data integrity application to track and alert a variety of applications to unique file changes.

Satrack is essentially an acronym of the GPS, i.e., Global Positioning System transmitting signals to the missile launched in orbit.

Quantum Computing

Quantum computation studies quantum computational processes that use quantum mechanical effects specifically, such as overlaying and interlocking, to perform data transactions.

The Hurd comes from the Mach 3.0 kernel of the CMU and uses the simulated control of the memory of Mach and its message transfer facilities.

Futex Technology

Futex technology suites are also a set of many separate subsystems. They need to interact with each other and often share a similar state despite practical differences between these applications.

IP Telephony

IP Telephony today represents a compelling and cost-efficient medium of communication. IP telephony means voice and communication networks, services, and applications alignment and convergence.

Rover Technology

Rover is a framework that facilitates location-based services as well as time-aware, user-aware, and device-aware services. Location computation includes automatic knowledge and facilities optimized depending on the user’s actual location. 

Network Management Protocol

A standard protocol for network management is the Simple Network Management Protocol (SNMP). It gathers information from network devices like servers, scanners, hubs, switches, and IP network routers and configures them.

Steganography

Steganography is the art and science in which the presence of secret contact may be concealed. It is meant to mask/hide information and writing.

ZigBee Technolgy

ZigBee is a wireless technology for control and sensor network applications. It describes a series for low-data short-range wireless networking connectivity protocols.

Asynchronous Transfer Mode

ATM is a telecommunications network switching strategy that utilizes multifunctional asynchronous time parts to encode data through tiny fixed cells.

Wireless USB

The first high-speed personal wireless link is the Wireless USB. Wireless USB builds on wired USB performance and takes USB technology to the future for wireless.

Intrusion Detection Systems

An intrusion detection (IDS) system is a computer or program that detects malicious behaviors or policy breaches on a network or networks. Either an administrator records any observed activity or breach.

Graphics Processing Unit

A GPU is a specially designed microprocessor for 3D graphics processing. The processor is designed with integrated transforming, illumination, triangles, and motors that handle millions of mathematics.

Extreme Programming

Extreme Programming (XP) is also a deliberate and structured software creation strategy. The solution is designed to provide customers with the software as per the requirements.

Human-Computer Interface

The Human-Computer Interface (HCI) addresses the means of communicating between machines and people. The development of GUI software makes devices more comfortable to use.

3-D Password for More Secure Authentication

There are also vulnerabilities in modern authentication schemes. Users use textual codes that do not meet their specifications. In dictionaries, users prefer to use meaningful terms, making word passwords easy to crack and susceptible to a dictionary or brutal attacks.

Synchronization Markup Language

The popularity of mobile devices and computers will rely on their ability to provide users with information when appropriate.

Graph-Based Search Engine

The search engine is a great tool to search the World Wide Web for any details. In the WWV, every attempt is made to identify the most important findings during the vast digital library search.

Peer-to-Peer Systems: The Present and the Future

Today, peer-to-peer (P2P) networks have been a central component of the Internet, with millions of people accessing their mechanisms and utilities. An academic study that joined researchers from networks, networking, and philosophy is pace up by peer-to-peer systems’ popularity.

Big Enterprise Data

There has been an influx of data in our world. Companies collect trillions of bytes of information about their clients, vendors, and activities. Millions of networked sensors in mobile and industrial products, measuring, processing, and exchanging data, are distributed in the real world.

Ambient Intelligence

Ambient Intelligence refers to an exciting modern informatics model where individuals are activated by a digital environment that is responsive and sensitive to their own desires, behaviors, movements, and emotions.

Google Glass

Project Glass is a Google research and development initiative to develop a head-mounted monitor with increased realism (HMD). The goal of the Project Glass products was to view information currently accessible to most mobile users hands-free and to allow for contact with the Internet through natural voice commands.

Cryptography – Advanced Network Security

Since the foray arrived, technology is on the rise. New and creative innovations have been invented in all manner of networks worldwide. Security treatments are more widespread now, leaving the network unstable and insecure with these sophisticated technologies.

Network Media & 3D Internet

3D Internet, a robust digital medium to meet customers, corporate clients, co-workers, partners, and students, are also known as virtual environments. It blends the TV’s instantaneity, the flexible Online material, and the capabilities of social networking platforms such as Facebook.

CORBA Technology

CORBA is the world’s leading middleware solution that enables knowledge sharing, regardless of hardware architectures, language programs, and operating systems. CORBA is basically an Object Request Broker (ORB) interface specification.

Digital Image Processing

We may upgrade digital image processing by incorporating image modification, image scaling cuts, noise reduction, unwanted features, image compression, image fusion, and color adjustments.

Wearable Computing  

It refers to computerized equipment or appliances, like garments, watches, lenses, shoes, and similar articles worn by a person are caller wearables. These devices may have unique and special characteristics, such as BP monitoring, heart rate monitoring, etc.

DAROC Technology

DAROC is intended to create an atmosphere for programming that helps undergraduate and graduate students develop an understanding and expertise with distributed programming applications.

General Seminar Topics on Computer Science Engineering (CSE)

• Cellular Digital Packet Data
• Chameleon Chip
• Cisco IOS Firewall.
• Compact peripheral component interconnect
• Computer Clothing.
• Content Management System
• Controller Area Network
• corDECT Wireless in Local Loop System
• Crusoe Processor.
• Delay-Tolerant Networks
• Digital Audio Broadcasting
• Digital Light Processing
• Digital Subscriber Line
• Digital Theatre System
• Digital Watermarking
• Dynamic Distributed Intrusion Detection Systems
• efficeon processor
• E-Intelligence.
• Elastic Quotas
• Electronic Ink
• Embedded System in Automobiles.
• EPICS-Electromechanical Human-machine interaction
• Cluster Computing
• Google Driver Less Car
• Cloud Storage
• Security and Privacy in Social Networks
• Optical Storage Technology
• 3D Optical Storage Technology
• Web Image Re-Ranking Using Query-Specific Semantic Signatures
• Semantic Web
• Big Data To Avoid Weather-related Flight Delays
• Electronic Paper Display
• RFID Based Library Management System
• Solid Waste Management
• Touchless Touchscreen Technology
• i-Twin Limitless Pendrive Technology
• Internet Of Things IOT Based Intelligent Bin for Smart Cities
• Scram Jet Engine for Hypersonic Flight
• Clinical Information System
• Clinic Management System
• Internet Of Things IoT
• Patient Monitoring System
• Patient Monitoring System  ||  Patient Monitoring System Using Zigbee  ||  Patient Monitoring System With SMS  ||  IP Based Patient Monitoring System  ||  GSM Based Patient Monitoring System  ||  Wireless Patient Monitoring System  ||  Remote Patient Monitoring System  ||
• Network Security And Cryptography
• Ambient Backscatter
• Buck Boost Converter

The Final Takeaway!

In this article, we’ve listed the best trending and latest seminar topics for Computer Science Engineering (CSE). These are not the only limited topics available; however, the list has been curated based on the computer world’s latest trend.

If you feel like adding anything here or ask any related queries, please let us know in the comment box below.

Cheers to Computer Engineering!

Related Posts

5 best online compilers, list of biggest and popular programming contests, top 5 programming languages that are in demand by employers, top 10 programmers in the world of all time, leave a comment cancel reply.

Your email address will not be published. Required fields are marked *

• Advisers & Contacts
• Bachelor of Arts & Bachelor of Science in Engineering
• Prerequisites
• Declaring Computer Science for AB Students
• Declaring Computer Science for BSE Students
• Class of '25, '26 & '27 - Departmental Requirements
• Class of 2024 - Departmental Requirements
• COS126 Information
• Important Steps and Deadlines
• Independent Work Seminars
• Guidelines and Useful Information

Undergraduate Research Topics

• AB Junior Research Workshops
• Undergraduate Program FAQ
• How to Enroll
• Requirements
• Certificate Program FAQ
• Interdepartmental Committee
• Minor Program
• Funding for Student Group Activities
• Mailing Lists and Policies
• Study Abroad
• Jobs & Careers
• Admissions Requirements
• Breadth Requirements
• Pre-FPO Checklist
• FPO Checklist
• M.S.E. Track
• M.Eng. Track
• Departmental Internship Policy (for Master's students)
• General Examination
• Fellowship Opportunities
• Travel Reimbursement Policy
• Communication Skills
• Course Schedule
• Course Catalog
• Research Areas
• Interdisciplinary Programs
• Technical Reports
• Computing Facilities
• Researchers
• Technical Staff
• Administrative Staff
• Graduate Students
• Undergraduate Students
• Graduate Alumni
• Climate and Inclusion Committee
• Resources for Undergraduate & Graduate Students
• Outreach Initiatives
• Resources for Faculty & Staff
• Spotlight Stories
• Job Openings
• Undergraduate Program
• Independent Work & Theses

Suggested Undergraduate Research Topics

How to Contact Faculty for IW/Thesis Advising

Send the professor an e-mail. When you write a professor, be clear that you want a meeting regarding a senior thesis or one-on-one IW project, and briefly describe the topic or idea that you want to work on. Check the faculty listing for email addresses.

Parastoo Abtahi, Room 419

Available for single-semester IW and senior thesis advising, 2024-2025

• Research Areas: Human-Computer Interaction (HCI), Augmented Reality (AR), and Spatial Computing
• Input techniques for on-the-go interaction (e.g., eye-gaze, microgestures, voice) with a focus on uncertainty, disambiguation, and privacy.
• Minimal and timely multisensory output (e.g., spatial audio, haptics) that enables users to attend to their physical environment and the people around them, instead of a 2D screen.
• Interaction with intelligent systems (e.g., IoT, robots) situated in physical spaces with a focus on updating users’ mental model despite the complexity and dynamicity of these systems.

Ryan Adams, Room 411

Research areas:

• Machine learning driven design
• Generative models for structured discrete objects
• Approximate inference in probabilistic models
• Accelerating solutions to partial differential equations
• Innovative uses of automatic differentiation
• Modeling and optimizing 3d printing and CNC machining

Andrew Appel, Room 209

Available for Fall 2024 IW advising, only

• Research Areas: Formal methods, programming languages, compilers, computer security.
• Software verification (for which taking COS 326 / COS 510 is helpful preparation)
• Game theory of poker or other games (for which COS 217 / 226 are helpful)
• Computer game-playing programs (for which COS 217 / 226)
•  Risk-limiting audits of elections (for which ORF 245 or other knowledge of probability is useful)

Sanjeev Arora, Room 407

• Theoretical machine learning, deep learning and its analysis, natural language processing. My advisees would typically have taken a course in algorithms (COS423 or COS 521 or equivalent) and a course in machine learning.
• Show that finding approximate solutions to NP-complete problems is also NP-complete (i.e., come up with NP-completeness reductions a la COS 487). 
• Experimental Algorithms: Implementing and Evaluating Algorithms using existing software packages. 
• Studying/designing provable algorithms for machine learning and implementions using packages like scipy and MATLAB, including applications in Natural language processing and deep learning.
• Any topic in theoretical computer science.

David August, Room 221

Not available for IW or thesis advising, 2024-2025

• Research Areas: Computer Architecture, Compilers, Parallelism
• Containment-based approaches to security:  We have designed and tested a simple hardware+software containment mechanism that stops incorrect communication resulting from faults, bugs, or exploits from leaving the system.   Let's explore ways to use containment to solve real problems.  Expect to work with corporate security and technology decision-makers.
• Parallelism: Studies show much more parallelism than is currently realized in compilers and architectures.  Let's find ways to realize this parallelism.
• Any other interesting topic in computer architecture or compilers. 

Mark Braverman, 194 Nassau St., Room 231

• Research Areas: computational complexity, algorithms, applied probability, computability over the real numbers, game theory and mechanism design, information theory.
• Topics in computational and communication complexity.
• Applications of information theory in complexity theory.
• Algorithms for problems under real-life assumptions.
• Game theory, network effects
• Mechanism design (could be on a problem proposed by the student)

Sebastian Caldas, 221 Nassau Street, Room 105

• Research Areas: collaborative learning, machine learning for healthcare. Typically, I will work with students that have taken COS324.
• Methods for collaborative and continual learning.
• Machine learning for healthcare applications.

Bernard Chazelle, 194 Nassau St., Room 301

• Research Areas: Natural Algorithms, Computational Geometry, Sublinear Algorithms. 
• Natural algorithms (flocking, swarming, social networks, etc).
• Sublinear algorithms
• Self-improving algorithms
• Markov data structures

Danqi Chen, Room 412

• My advisees would be expected to have taken a course in machine learning and ideally have taken COS484 or an NLP graduate seminar.
• Representation learning for text and knowledge bases
• Pre-training and transfer learning
• Question answering and reading comprehension
• Information extraction
• Text summarization
• Any other interesting topics related to natural language understanding/generation

Marcel Dall'Agnol, Corwin 034

• Research Areas: Theoretical computer science. (Specifically, quantum computation, sublinear algorithms, complexity theory, interactive proofs and cryptography)
• Research Areas: Machine learning

Jia Deng, Room 423

•  Research Areas: Computer Vision, Machine Learning.
• Object recognition and action recognition
• Deep Learning, autoML, meta-learning
• Geometric reasoning, logical reasoning

Adji Bousso Dieng, Room 406

• Research areas: Vertaix is a research lab at Princeton University led by Professor Adji Bousso Dieng. We work at the intersection of artificial intelligence (AI) and the natural sciences. The models and algorithms we develop are motivated by problems in those domains and contribute to advancing methodological research in AI. We leverage tools in statistical machine learning and deep learning in developing methods for learning with the data, of various modalities, arising from the natural sciences.

Robert Dondero, Corwin Hall, Room 038

• Research Areas:  Software engineering; software engineering education.
• Develop or evaluate tools to facilitate student learning in undergraduate computer science courses at Princeton, and beyond.
• In particular, can code critiquing tools help students learn about software quality?

Zeev Dvir, 194 Nassau St., Room 250

• Research Areas: computational complexity, pseudo-randomness, coding theory and discrete mathematics.
• Independent Research: I have various research problems related to Pseudorandomness, Coding theory, Complexity and Discrete mathematics - all of which require strong mathematical background. A project could also be based on writing a survey paper describing results from a few theory papers revolving around some particular subject.

Benjamin Eysenbach, Room 416

• Research areas: reinforcement learning, machine learning. My advisees would typically have taken COS324.
• Using RL algorithms to applications in science and engineering.
• Emergent behavior of RL algorithms on high-fidelity robotic simulators.
• Studying how architectures and representations can facilitate generalization.

Christiane Fellbaum, 1-S-14 Green

• Research Areas: theoretical and computational linguistics, word sense disambiguation, lexical resource construction, English and multilingual WordNet(s), ontology
• Anything having to do with natural language--come and see me with/for ideas suitable to your background and interests. Some topics students have worked on in the past:
• Developing parsers, part-of-speech taggers, morphological analyzers for underrepresented languages (you don't have to know the language to develop such tools!)
• Quantitative approaches to theoretical linguistics questions
• Extensions and interfaces for WordNet (English and WN in other languages),
• Applications of WordNet(s), including:
• Foreign language tutoring systems,
• Spelling correction software,
• Word-finding/suggestion software for ordinary users and people with memory problems,
• Machine Translation 
• Sentiment and Opinion detection
• Automatic reasoning and inferencing
• Collaboration with professors in the social sciences and humanities ("Digital Humanities")

Adam Finkelstein, Room 424 

• Research Areas: computer graphics, audio.

Robert S. Fish, Corwin Hall, Room 037

• Networking and telecommunications
• Learning, perception, and intelligence, artificial and otherwise;
• Human-computer interaction and computer-supported cooperative work
• Online education, especially in Computer Science Education
• Topics in research and development innovation methodologies including standards, open-source, and entrepreneurship
• Distributed autonomous organizations and related blockchain technologies

Michael Freedman, Room 308 

• Research Areas: Distributed systems, security, networking
• Projects related to streaming data analysis, datacenter systems and networks, untrusted cloud storage and applications. Please see my group website at http://sns.cs.princeton.edu/ for current research projects.

Ruth Fong, Room 032

• Research Areas: computer vision, machine learning, deep learning, interpretability, explainable AI, fairness and bias in AI
• Develop a technique for understanding AI models
• Design a AI model that is interpretable by design
• Build a paradigm for detecting and/or correcting failure points in an AI model
• Analyze an existing AI model and/or dataset to better understand its failure points
• Build a computer vision system for another domain (e.g., medical imaging, satellite data, etc.)
• Develop a software package for explainable AI
• Adapt explainable AI research to a consumer-facing problem

Note: I am happy to advise any project if there's a sufficient overlap in interest and/or expertise; please reach out via email to chat about project ideas.

Tom Griffiths, Room 405

Available for Fall 2024 single-semester IW advising, only

Research areas: computational cognitive science, computational social science, machine learning and artificial intelligence

Note: I am open to projects that apply ideas from computer science to understanding aspects of human cognition in a wide range of areas, from decision-making to cultural evolution and everything in between. For example, we have current projects analyzing chess game data and magic tricks, both of which give us clues about how human minds work. Students who have expertise or access to data related to games, magic, strategic sports like fencing, or other quantifiable domains of human behavior feel free to get in touch.

Aarti Gupta, Room 220

• Research Areas: Formal methods, program analysis, logic decision procedures
• Finding bugs in open source software using automatic verification tools
• Software verification (program analysis, model checking, test generation)
• Decision procedures for logical reasoning (SAT solvers, SMT solvers)

Elad Hazan, Room 409  

• Research interests: machine learning methods and algorithms, efficient methods for mathematical optimization, regret minimization in games, reinforcement learning, control theory and practice
• Machine learning, efficient methods for mathematical optimization, statistical and computational learning theory, regret minimization in games.
• Implementation and algorithm engineering for control, reinforcement learning and robotics
• Implementation and algorithm engineering for time series prediction

Felix Heide, Room 410

• Research Areas: Computational Imaging, Computer Vision, Machine Learning (focus on Optimization and Approximate Inference).
• Optical Neural Networks
• Hardware-in-the-loop Holography
• Zero-shot and Simulation-only Learning
• Object recognition in extreme conditions
• 3D Scene Representations for View Generation and Inverse Problems
• Long-range Imaging in Scattering Media
• Hardware-in-the-loop Illumination and Sensor Optimization
• Inverse Lidar Design
• Phase Retrieval Algorithms
• Proximal Algorithms for Learning and Inference
• Domain-Specific Language for Optics Design

Peter Henderson , 302 Sherrerd Hall

• Research Areas: Machine learning, law, and policy

Kyle Jamieson, Room 306

• Research areas: Wireless and mobile networking; indoor radar and indoor localization; Internet of Things
• See other topics on my independent work  ideas page  (campus IP and CS dept. login req'd)

Alan Kaplan, 221 Nassau Street, Room 105

Research Areas:

• Random apps of kindness - mobile application/technology frameworks used to help individuals or communities; topic areas include, but are not limited to: first response, accessibility, environment, sustainability, social activism, civic computing, tele-health, remote learning, crowdsourcing, etc.
• Tools automating programming language interoperability - Java/C++, React Native/Java, etc.
• Software visualization tools for education
• Connected consumer devices, applications and protocols

Brian Kernighan, Room 311

• Research Areas: application-specific languages, document preparation, user interfaces, software tools, programming methodology
• Application-oriented languages, scripting languages.
• Tools; user interfaces
• Digital humanities

Zachary Kincaid, Room 219

• Research areas: programming languages, program analysis, program verification, automated reasoning
• Independent Research Topics:
• Develop a practical algorithm for an intractable problem (e.g., by developing practical search heuristics, or by reducing to, or by identifying a tractable sub-problem, ...).
• Design a domain-specific programming language, or prototype a new feature for an existing language.
• Any interesting project related to programming languages or logic.

Gillat Kol, Room 316

Aleksandra korolova, 309 sherrerd hall.

• Research areas: Societal impacts of algorithms and AI; privacy; fair and privacy-preserving machine learning; algorithm auditing.

Advisees typically have taken one or more of COS 226, COS 324, COS 423, COS 424 or COS 445.

Pravesh Kothari, Room 320

• Research areas: Theory

Amit Levy, Room 307

• Research Areas: Operating Systems, Distributed Systems, Embedded Systems, Internet of Things
• Distributed hardware testing infrastructure
• Second factor security tokens
• Low-power wireless network protocol implementation
• USB device driver implementation

Kai Li, Room 321

• Research Areas: Distributed systems; storage systems; content-based search and data analysis of large datasets.
• Fast communication mechanisms for heterogeneous clusters.
• Approximate nearest-neighbor search for high dimensional data.
• Data analysis and prediction of in-patient medical data.
• Optimized implementation of classification algorithms on manycore processors.

Xiaoyan Li, 221 Nassau Street, Room 104

• Research areas: Information retrieval, novelty detection, question answering, AI, machine learning and data analysis.
• Explore new statistical retrieval models for document retrieval and question answering.
• Apply AI in various fields.
• Apply supervised or unsupervised learning in health, education, finance, and social networks, etc.
• Any interesting project related to AI, machine learning, and data analysis.

Lydia Liu, Room 414

• Research Areas: algorithmic decision making, machine learning and society
• Theoretical foundations for algorithmic decision making (e.g. mathematical modeling of data-driven decision processes, societal level dynamics)
• Societal impacts of algorithms and AI through a socio-technical lens (e.g. normative implications of worst case ML metrics, prediction and model arbitrariness)
• Machine learning for social impact domains, especially education (e.g. responsible development and use of LLMs for education equity and access)
• Evaluation of human-AI decision making using statistical methods (e.g. causal inference of long term impact)

Wyatt Lloyd, Room 323

• Research areas: Distributed Systems
• Caching algorithms and implementations
• Storage systems
• Distributed transaction algorithms and implementations

Alex Lombardi , Room 312

• Research Areas: Theory

Margaret Martonosi, Room 208

• Quantum Computing research, particularly related to architecture and compiler issues for QC.
• Computer architectures specialized for modern workloads (e.g., graph analytics, machine learning algorithms, mobile applications
• Investigating security and privacy vulnerabilities in computer systems, particularly IoT devices.
• Other topics in computer architecture or mobile / IoT systems also possible.

Jonathan Mayer, Sherrerd Hall, Room 307 

Available for Spring 2025 single-semester IW, only

• Research areas: Technology law and policy, with emphasis on national security, criminal procedure, consumer privacy, network management, and online speech.
• Assessing the effects of government policies, both in the public and private sectors.
• Collecting new data that relates to government decision making, including surveying current business practices and studying user behavior.
• Developing new tools to improve government processes and offer policy alternatives.

Mae Milano, Room 307

• Local-first / peer-to-peer systems
• Wide-ares storage systems
• Consistency and protocol design
• Type-safe concurrency
• Language design
• Gradual typing
• Domain-specific languages
• Languages for distributed systems

Andrés Monroy-Hernández, Room 405

• Research Areas: Human-Computer Interaction, Social Computing, Public-Interest Technology, Augmented Reality, Urban Computing
• Research interests:developing public-interest socio-technical systems.  We are currently creating alternatives to gig work platforms that are more equitable for all stakeholders. For instance, we are investigating the socio-technical affordances necessary to support a co-op food delivery network owned and managed by workers and restaurants. We are exploring novel system designs that support self-governance, decentralized/federated models, community-centered data ownership, and portable reputation systems.  We have opportunities for students interested in human-centered computing, UI/UX design, full-stack software development, and qualitative/quantitative user research.
• Beyond our core projects, we are open to working on research projects that explore the use of emerging technologies, such as AR, wearables, NFTs, and DAOs, for creative and out-of-the-box applications.

Christopher Moretti, Corwin Hall, Room 036

• Research areas: Distributed systems, high-throughput computing, computer science/engineering education
• Expansion, improvement, and evaluation of open-source distributed computing software.
• Applications of distributed computing for "big science" (e.g. biometrics, data mining, bioinformatics)
• Software and best practices for computer science education and study, especially Princeton's 126/217/226 sequence or MOOCs development
• Sports analytics and/or crowd-sourced computing

Radhika Nagpal, F316 Engineering Quadrangle

• Research areas: control, robotics and dynamical systems

Karthik Narasimhan, Room 422

• Research areas: Natural Language Processing, Reinforcement Learning
• Autonomous agents for text-based games ( https://www.microsoft.com/en-us/research/project/textworld/ )
• Transfer learning/generalization in NLP
• Techniques for generating natural language
• Model-based reinforcement learning

Arvind Narayanan, 308 Sherrerd Hall 

Research Areas: fair machine learning (and AI ethics more broadly), the social impact of algorithmic systems, tech policy

Pedro Paredes, Corwin Hall, Room 041

My primary research work is in Theoretical Computer Science.

 * Research Interest: Spectral Graph theory, Pseudorandomness, Complexity theory, Coding Theory, Quantum Information Theory, Combinatorics.

The IW projects I am interested in advising can be divided into three categories:

 1. Theoretical research

I am open to advise work on research projects in any topic in one of my research areas of interest. A project could also be based on writing a survey given results from a few papers. Students should have a solid background in math (e.g., elementary combinatorics, graph theory, discrete probability, basic algebra/calculus) and theoretical computer science (226 and 240 material, like big-O/Omega/Theta, basic complexity theory, basic fundamental algorithms). Mathematical maturity is a must.

A (non exhaustive) list of topics of projects I'm interested in:   * Explicit constructions of better vertex expanders and/or unique neighbor expanders.   * Construction deterministic or random high dimensional expanders.   * Pseudorandom generators for different problems.   * Topics around the quantum PCP conjecture.   * Topics around quantum error correcting codes and locally testable codes, including constructions, encoding and decoding algorithms.

 2. Theory informed practical implementations of algorithms   Very often the great advances in theoretical research are either not tested in practice or not even feasible to be implemented in practice. Thus, I am interested in any project that consists in trying to make theoretical ideas applicable in practice. This includes coming up with new algorithms that trade some theoretical guarantees for feasible implementation yet trying to retain the soul of the original idea; implementing new algorithms in a suitable programming language; and empirically testing practical implementations and comparing them with benchmarks / theoretical expectations. A project in this area doesn't have to be in my main areas of research, any theoretical result could be suitable for such a project.

Some examples of areas of interest:   * Streaming algorithms.   * Numeric linear algebra.   * Property testing.   * Parallel / Distributed algorithms.   * Online algorithms.    3. Machine learning with a theoretical foundation

I am interested in projects in machine learning that have some mathematical/theoretical, even if most of the project is applied. This includes topics like mathematical optimization, statistical learning, fairness and privacy.

One particular area I have been recently interested in is in the area of rating systems (e.g., Chess elo) and applications of this to experts problems.

Final Note: I am also willing to advise any project with any mathematical/theoretical component, even if it's not the main one; please reach out via email to chat about project ideas.

Iasonas Petras, Corwin Hall, Room 033

• Research Areas: Information Based Complexity, Numerical Analysis, Quantum Computation.
• Prerequisites: Reasonable mathematical maturity. In case of a project related to Quantum Computation a certain familiarity with quantum mechanics is required (related courses: ELE 396/PHY 208).
• Possible research topics include:

1.   Quantum algorithms and circuits:

• i. Design or simulation quantum circuits implementing quantum algorithms.
• ii. Design of quantum algorithms solving/approximating continuous problems (such as Eigenvalue problems for Partial Differential Equations).

2.   Information Based Complexity:

• i. Necessary and sufficient conditions for tractability of Linear and Linear Tensor Product Problems in various settings (for example worst case or average case). 
• ii. Necessary and sufficient conditions for tractability of Linear and Linear Tensor Product Problems under new tractability and error criteria.
• iii. Necessary and sufficient conditions for tractability of Weighted problems.
• iv. Necessary and sufficient conditions for tractability of Weighted Problems under new tractability and error criteria.

3. Topics in Scientific Computation:

• i. Randomness, Pseudorandomness, MC and QMC methods and their applications (Finance, etc)

Yuri Pritykin, 245 Carl Icahn Lab

• Research interests: Computational biology; Cancer immunology; Regulation of gene expression; Functional genomics; Single-cell technologies.
• Potential research projects: Development, implementation, assessment and/or application of algorithms for analysis, integration, interpretation and visualization of multi-dimensional data in molecular biology, particularly single-cell and spatial genomics data.

Benjamin Raphael, Room 309  

• Research interests: Computational biology and bioinformatics; Cancer genomics; Algorithms and machine learning approaches for analysis of large-scale datasets
• Implementation and application of algorithms to infer evolutionary processes in cancer
• Identifying correlations between combinations of genomic mutations in human and cancer genomes
• Design and implementation of algorithms for genome sequencing from new DNA sequencing technologies
• Graph clustering and network anomaly detection, particularly using diffusion processes and methods from spectral graph theory

Vikram Ramaswamy, 035 Corwin Hall

• Research areas: Interpretability of AI systems, Fairness in AI systems, Computer vision.
• Constructing a new method to explain a model / create an interpretable by design model
• Analyzing a current model / dataset to understand bias within the model/dataset
• Proposing new fairness evaluations
• Proposing new methods to train to improve fairness
• Developing synthetic datasets for fairness / interpretability benchmarks
• Understanding robustness of models

Ran Raz, Room 240

• Research Area: Computational Complexity
• Independent Research Topics: Computational Complexity, Information Theory, Quantum Computation, Theoretical Computer Science

Szymon Rusinkiewicz, Room 406

• Research Areas: computer graphics; computer vision; 3D scanning; 3D printing; robotics; documentation and visualization of cultural heritage artifacts
• Research ways of incorporating rotation invariance into computer visiontasks such as feature matching and classification
• Investigate approaches to robust 3D scan matching
• Model and compensate for imperfections in 3D printing
• Given a collection of small mobile robots, apply control policies learned in simulation to the real robots.

Olga Russakovsky, Room 408

• Research Areas: computer vision, machine learning, deep learning, crowdsourcing, fairness&bias in AI
• Design a semantic segmentation deep learning model that can operate in a zero-shot setting (i.e., recognize and segment objects not seen during training)
• Develop a deep learning classifier that is impervious to protected attributes (such as gender or race) that may be erroneously correlated with target classes
• Build a computer vision system for the novel task of inferring what object (or part of an object) a human is referring to when pointing to a single pixel in the image. This includes both collecting an appropriate dataset using crowdsourcing on Amazon Mechanical Turk, creating a new deep learning formulation for this task, and running extensive analysis of both the data and the model

Sebastian Seung, Princeton Neuroscience Institute, Room 153

• Research Areas: computational neuroscience, connectomics, "deep learning" neural networks, social computing, crowdsourcing, citizen science
• Gamification of neuroscience (EyeWire  2.0)
• Semantic segmentation and object detection in brain images from microscopy
• Computational analysis of brain structure and function
• Neural network theories of brain function

Jaswinder Pal Singh, Room 324

• Research Areas: Boundary of technology and business/applications; building and scaling technology companies with special focus at that boundary; parallel computing systems and applications: parallel and distributed applications and their implications for software and architectural design; system software and programming environments for multiprocessors.
• Develop a startup company idea, and build a plan/prototype for it.
• Explore tradeoffs at the boundary of technology/product and business/applications in a chosen area.
• Study and develop methods to infer insights from data in different application areas, from science to search to finance to others. 
• Design and implement a parallel application. Possible areas include graphics, compression, biology, among many others. Analyze performance bottlenecks using existing tools, and compare programming models/languages.
• Design and implement a scalable distributed algorithm.

Mona Singh, Room 420

• Research Areas: computational molecular biology, as well as its interface with machine learning and algorithms.
• Whole and cross-genome methods for predicting protein function and protein-protein interactions.
• Analysis and prediction of biological networks.
• Computational methods for inferring specific aspects of protein structure from protein sequence data.
• Any other interesting project in computational molecular biology.

Robert Tarjan, 194 Nassau St., Room 308

• Research Areas: Data structures; graph algorithms; combinatorial optimization; computational complexity; computational geometry; parallel algorithms.
• Implement one or more data structures or combinatorial algorithms to provide insight into their empirical behavior.
• Design and/or analyze various data structures and combinatorial algorithms.

Olga Troyanskaya, Room 320

• Research Areas: Bioinformatics; analysis of large-scale biological data sets (genomics, gene expression, proteomics, biological networks); algorithms for integration of data from multiple data sources; visualization of biological data; machine learning methods in bioinformatics.
• Implement and evaluate one or more gene expression analysis algorithm.
• Develop algorithms for assessment of performance of genomic analysis methods.
• Develop, implement, and evaluate visualization tools for heterogeneous biological data.

David Walker, Room 211

• Research Areas: Programming languages, type systems, compilers, domain-specific languages, software-defined networking and security
• Independent Research Topics:  Any other interesting project that involves humanitarian hacking, functional programming, domain-specific programming languages, type systems, compilers, software-defined networking, fault tolerance, language-based security, theorem proving, logic or logical frameworks.

Shengyi Wang, Postdoctoral Research Associate, Room 216

Available for Fall 2024 single-semester IW, only

• Independent Research topics: Explore Escher-style tilings using (introductory) group theory and automata theory to produce beautiful pictures.

Kevin Wayne, Corwin Hall, Room 040

• Research Areas: design, analysis, and implementation of algorithms; data structures; combinatorial optimization; graphs and networks.
• Design and implement computer visualizations of algorithms or data structures.
• Develop pedagogical tools or programming assignments for the computer science curriculum at Princeton and beyond.
• Develop assessment infrastructure and assessments for MOOCs.

Matt Weinberg, 194 Nassau St., Room 222

• Research Areas: algorithms, algorithmic game theory, mechanism design, game theoretical problems in {Bitcoin, networking, healthcare}.
• Theoretical questions related to COS 445 topics such as matching theory, voting theory, auction design, etc. 
• Theoretical questions related to incentives in applications like Bitcoin, the Internet, health care, etc. In a little bit more detail: protocols for these systems are often designed assuming that users will follow them. But often, users will actually be strictly happier to deviate from the intended protocol. How should we reason about user behavior in these protocols? How should we design protocols in these settings?

Huacheng Yu, Room 310

• data structures
• streaming algorithms
• design and analyze data structures / streaming algorithms
• prove impossibility results (lower bounds)
• implement and evaluate data structures / streaming algorithms

Ellen Zhong, Room 314

Opportunities outside the department.

We encourage students to look in to doing interdisciplinary computer science research and to work with professors in departments other than computer science.  However, every CS independent work project must have a strong computer science element (even if it has other scientific or artistic elements as well.)  To do a project with an adviser outside of computer science you must have permission of the department.  This can be accomplished by having a second co-adviser within the computer science department or by contacting the independent work supervisor about the project and having he or she sign the independent work proposal form.

Here is a list of professors outside the computer science department who are eager to work with computer science undergraduates.

Maria Apostolaki, Engineering Quadrangle, C330

• Research areas: Computing & Networking, Data & Information Science, Security & Privacy

Branko Glisic, Engineering Quadrangle, Room E330

• Documentation of historic structures
• Cyber physical systems for structural health monitoring
• Developing virtual and augmented reality applications for documenting structures
• Applying machine learning techniques to generate 3D models from 2D plans of buildings
•  Contact : Rebecca Napolitano, rkn2 (@princeton.edu)

Mihir Kshirsagar, Sherrerd Hall, Room 315

Center for Information Technology Policy.

• Consumer protection
• Content regulation
• Competition law
• Economic development
• Surveillance and discrimination

Sharad Malik, Engineering Quadrangle, Room B224

Select a Senior Thesis Adviser for the 2020-21 Academic Year.

• Design of reliable hardware systems
• Verifying complex software and hardware systems

Prateek Mittal, Engineering Quadrangle, Room B236

• Internet security and privacy 
• Social Networks
• Privacy technologies, anonymous communication
• Network Science
• Internet security and privacy: The insecurity of Internet protocols and services threatens the safety of our critical network infrastructure and billions of end users. How can we defend end users as well as our critical network infrastructure from attacks?
• Trustworthy social systems: Online social networks (OSNs) such as Facebook, Google+, and Twitter have revolutionized the way our society communicates. How can we leverage social connections between users to design the next generation of communication systems?
• Privacy Technologies: Privacy on the Internet is eroding rapidly, with businesses and governments mining sensitive user information. How can we protect the privacy of our online communications? The Tor project (https://www.torproject.org/) is a potential application of interest.

Ken Norman,  Psychology Dept, PNI 137

• Research Areas: Memory, the brain and computation 
• Lab:  Princeton Computational Memory Lab

Potential research topics

• Methods for decoding cognitive state information from neuroimaging data (fMRI and EEG) 
• Neural network simulations of learning and memory

Caroline Savage

Office of Sustainability, Phone:(609)258-7513, Email: cs35 (@princeton.edu)

The  Campus as Lab  program supports students using the Princeton campus as a living laboratory to solve sustainability challenges. The Office of Sustainability has created a list of campus as lab research questions, filterable by discipline and topic, on its  website .

An example from Computer Science could include using  TigerEnergy , a platform which provides real-time data on campus energy generation and consumption, to study one of the many energy systems or buildings on campus. Three CS students used TigerEnergy to create a  live energy heatmap of campus .

Other potential projects include:

• Apply game theory to sustainability challenges
• Develop a tool to help visualize interactions between complex campus systems, e.g. energy and water use, transportation and storm water runoff, purchasing and waste, etc.
• How can we learn (in aggregate) about individuals’ waste, energy, transportation, and other behaviors without impinging on privacy?

Janet Vertesi, Sociology Dept, Wallace Hall, Room 122

• Research areas: Sociology of technology; Human-computer interaction; Ubiquitous computing.
• Possible projects: At the intersection of computer science and social science, my students have built mixed reality games, produced artistic and interactive installations, and studied mixed human-robot teams, among other projects.

David Wentzlaff, Engineering Quadrangle, Room 228

Computing, Operating Systems, Sustainable Computing.

• Instrument Princeton's Green (HPCRC) data center
• Investigate power utilization on an processor core implemented in an FPGA
• Dismantle and document all of the components in modern electronics. Invent new ways to build computers that can be recycled easier.
• Other topics in parallel computer architecture or operating systems

• Computer Science
• ieee seminar topics
• seminar topics
• Software Engineering

Latest IEEE Seminar Topics for CSE | Computer Science

• Share to Facebook
• Share to Twitter

Importance of IEEE Seminar Topics for Engineering Students

Each year several hundred research papers are being submitted to IEEE and reviewed on various technological advancements. The most important aspect of IEEE papers is referring to the sources and with the full citation as mentioned in the reference list. 

List of IEEE Seminar Topics for CSE and Software Engineering 

✅ latest technical seminar topics for cse computer science (updated), share this article, subscribe via email, related post.

• Like on Facebook
• Follow on Twitter
• Follow on Slideshare
• Follow on Pinterest
• Subscribe on Youtube

Trending Seminar Topics

• 100+ Seminar Topics for Youth, Teenagers, College Students Young people are on a never-ending quest for transcendence, which drives them to want to improve the environment, countries, communities,...
• 30+ Technical Seminar Topics for Presentation: Latest Tech Trends Technology is rapidly evolving today, allowing for faster change and progress and accelerating the rate of change. However, it is not just t...
• 100 PowerPoint Presentation Topics in Hindi (Download PPT) विद्यार्थियों के लिए प्रेजेंटेशन का महत्व प्रेजेंटेशन (presentation) देना शैक्षणिक पाठ्यक्रम का एक महत्वपूर्ण व्यावहारिक पाठ्यक्रम है, ...
• 100+ Interesting Biology Presentation Topics with PPT Biology Topics for Presentation & Research Biology is a topic that every school student studies and university student who does major in...
• 100 Interesting Fun Topics for Presentations Fun Topics for Presentations We have prepared for you a fantastic collection of fun topics for presentation with relevant links to the artic...

Recent Seminar Topics

Seminar topics.

• 💻 Seminar Topics for CSE Computer Science Engineering
• ⚙️ Seminar Topics for Mechanical Engineering ME
• 📡 Seminar Topics for ECE Electronics and Communication
• ⚡️ Seminar Topics for Electrical Engineering EEE
• 👷🏻 Seminar Topics for Civil Engineering
• 🏭 Seminar Topics for Production Engineering
• 💡 Physics Seminar Topics
• 🌎 Seminar Topics for Environment
• ⚗️ Chemistry Seminar Topics
• 📈 Business Seminar Topics
• 👦🏻 Seminar Topics for Youth

Investigatory Projects Topics

• 👨🏻‍🔬 Chemistry Investigatory Projects Topics
• 📧 Contact Us For Seminar Topics
• 👉🏼Follow us in Slideshare

Presentation Topics

• 🌍 Environment Related Presentation Topics
• ⚗️ Inorganic Chemistry Presentation Topics
• 👨🏻‍🎓 General Presentation Topics
• 🦚 Hindi Presentation Topics
• 🪐 Physics Presentation Topics
• 🧪 Chemistry: Interesting Presentation Topics
• 🌿 Biology Presentation Topics
• 🧬 Organic Chemistry Presentation Topics

Speech Topics and Ideas

• 🦁 Informative and Persuasive Speech Topics on Animals
• 🚗 Informative and Persuasive Speech Topics on Automotives
• 💡 Ideas to Choose Right Informative Speech
• 👩🏻‍🎓 Informative Speech Topics For College Students
• 🔬 Informative Speech Topics on Science and Technology

IEEE Account

• Change Username/Password
• Update Address

Purchase Details

• Payment Options
• Order History
• View Purchased Documents

Profile Information

• Communications Preferences
• Profession and Education
• Technical Interests
• US & Canada: +1 800 678 4333
• Worldwide: +1 732 981 0060
• Contact & Support
• About IEEE Xplore
• Accessibility
• Terms of Use
• Nondiscrimination Policy
• Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity. © Copyright 2024 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.

Academia.edu no longer supports Internet Explorer.

To browse Academia.edu and the wider internet faster and more securely, please take a few seconds to  upgrade your browser .

•  We're Hiring!
•  Help Center

Computer Science Seminar/project Topics and Material

• Most Cited Papers
• Most Downloaded Papers
• Newest Papers
• Save to Library
• Leadership and Organizational Behaviour Follow Following
• Diversity Management Follow Following
• Diversity & Inclusion Follow Following
• Small Business Policy Development and Entrepreneurship Development Follow Following
• IS Benefits Management Follow Following
• Enterprise Systems Follow Following
• Agricultural and Bioresources Engineering Follow Following
• Database Management Follow Following
• Computer Science Follow Following
• Philippine Education for ICT Follow Following

Enter the email address you signed up with and we'll email you a reset link.

• Academia.edu Publishing
•   We're Hiring!
•   Help Center
• Find new research papers in:
• Health Sciences
• Earth Sciences
• Cognitive Science
• Mathematics
• Computer Science
• Academia ©2024

computer science Recently Published Documents

Total documents.

• Latest Documents
• Most Cited Documents
• Contributed Authors
• Related Sources
• Related Keywords

Hiring CS Graduates: What We Learned from Employers

Computer science ( CS ) majors are in high demand and account for a large part of national computer and information technology job market applicants. Employment in this sector is projected to grow 12% between 2018 and 2028, which is faster than the average of all other occupations. Published data are available on traditional non-computer science-specific hiring processes. However, the hiring process for CS majors may be different. It is critical to have up-to-date information on questions such as “what positions are in high demand for CS majors?,” “what is a typical hiring process?,” and “what do employers say they look for when hiring CS graduates?” This article discusses the analysis of a survey of 218 recruiters hiring CS graduates in the United States. We used Atlas.ti to analyze qualitative survey data and report the results on what positions are in the highest demand, the hiring process, and the resume review process. Our study revealed that a software developer was the most common job the recruiters were looking to fill. We found that the hiring process steps for CS graduates are generally aligned with traditional hiring steps, with an additional emphasis on technical and coding tests. Recruiters reported that their hiring choices were based on reviewing resume’s experience, GPA, and projects sections. The results provide insights into the hiring process, decision making, resume analysis, and some discrepancies between current undergraduate CS program outcomes and employers’ expectations.

A Systematic Literature Review of Empiricism and Norms of Reporting in Computing Education Research Literature

Context. Computing Education Research (CER) is critical to help the computing education community and policy makers support the increasing population of students who need to learn computing skills for future careers. For a community to systematically advance knowledge about a topic, the members must be able to understand published work thoroughly enough to perform replications, conduct meta-analyses, and build theories. There is a need to understand whether published research allows the CER community to systematically advance knowledge and build theories. Objectives. The goal of this study is to characterize the reporting of empiricism in Computing Education Research literature by identifying whether publications include content necessary for researchers to perform replications, meta-analyses, and theory building. We answer three research questions related to this goal: (RQ1) What percentage of papers in CER venues have some form of empirical evaluation? (RQ2) Of the papers that have empirical evaluation, what are the characteristics of the empirical evaluation? (RQ3) Of the papers that have empirical evaluation, do they follow norms (both for inclusion and for labeling of information needed for replication, meta-analysis, and, eventually, theory-building) for reporting empirical work? Methods. We conducted a systematic literature review of the 2014 and 2015 proceedings or issues of five CER venues: Technical Symposium on Computer Science Education (SIGCSE TS), International Symposium on Computing Education Research (ICER), Conference on Innovation and Technology in Computer Science Education (ITiCSE), ACM Transactions on Computing Education (TOCE), and Computer Science Education (CSE). We developed and applied the CER Empiricism Assessment Rubric to the 427 papers accepted and published at these venues over 2014 and 2015. Two people evaluated each paper using the Base Rubric for characterizing the paper. An individual person applied the other rubrics to characterize the norms of reporting, as appropriate for the paper type. Any discrepancies or questions were discussed between multiple reviewers to resolve. Results. We found that over 80% of papers accepted across all five venues had some form of empirical evaluation. Quantitative evaluation methods were the most frequently reported. Papers most frequently reported results on interventions around pedagogical techniques, curriculum, community, or tools. There was a split in papers that had some type of comparison between an intervention and some other dataset or baseline. Most papers reported related work, following the expectations for doing so in the SIGCSE and CER community. However, many papers were lacking properly reported research objectives, goals, research questions, or hypotheses; description of participants; study design; data collection; and threats to validity. These results align with prior surveys of the CER literature. Conclusions. CER authors are contributing empirical results to the literature; however, not all norms for reporting are met. We encourage authors to provide clear, labeled details about their work so readers can use the study methodologies and results for replications and meta-analyses. As our community grows, our reporting of CER should mature to help establish computing education theory to support the next generation of computing learners.

Light Diacritic Restoration to Disambiguate Homographs in Modern Arabic Texts

Diacritic restoration (also known as diacritization or vowelization) is the process of inserting the correct diacritical markings into a text. Modern Arabic is typically written without diacritics, e.g., newspapers. This lack of diacritical markings often causes ambiguity, and though natives are adept at resolving, there are times they may fail. Diacritic restoration is a classical problem in computer science. Still, as most of the works tackle the full (heavy) diacritization of text, we, however, are interested in diacritizing the text using a fewer number of diacritics. Studies have shown that a fully diacritized text is visually displeasing and slows down the reading. This article proposes a system to diacritize homographs using the least number of diacritics, thus the name “light.” There is a large class of words that fall under the homograph category, and we will be dealing with the class of words that share the spelling but not the meaning. With fewer diacritics, we do not expect any effect on reading speed, while eye strain is reduced. The system contains morphological analyzer and context similarities. The morphological analyzer is used to generate all word candidates for diacritics. Then, through a statistical approach and context similarities, we resolve the homographs. Experimentally, the system shows very promising results, and our best accuracy is 85.6%.

A genre-based analysis of questions and comments in Q&A sessions after conference paper presentations in computer science

Gender diversity in computer science at a large public r1 research university: reporting on a self-study.

With the number of jobs in computer occupations on the rise, there is a greater need for computer science (CS) graduates than ever. At the same time, most CS departments across the country are only seeing 25–30% of women students in their classes, meaning that we are failing to draw interest from a large portion of the population. In this work, we explore the gender gap in CS at Rutgers University–New Brunswick, a large public R1 research university, using three data sets that span thousands of students across six academic years. Specifically, we combine these data sets to study the gender gaps in four core CS courses and explore the correlation of several factors with retention and the impact of these factors on changes to the gender gap as students proceed through the CS courses toward completing the CS major. For example, we find that a significant percentage of women students taking the introductory CS1 course for majors do not intend to major in CS, which may be a contributing factor to a large increase in the gender gap immediately after CS1. This finding implies that part of the retention task is attracting these women students to further explore the major. Results from our study include both novel findings and findings that are consistent with known challenges for increasing gender diversity in CS. In both cases, we provide extensive quantitative data in support of the findings.

Designing for Student-Directedness: How K–12 Teachers Utilize Peers to Support Projects

Student-directed projects—projects in which students have individual control over what they create and how to create it—are a promising practice for supporting the development of conceptual understanding and personal interest in K–12 computer science classrooms. In this article, we explore a central (and perhaps counterintuitive) design principle identified by a group of K–12 computer science teachers who support student-directed projects in their classrooms: in order for students to develop their own ideas and determine how to pursue them, students must have opportunities to engage with other students’ work. In this qualitative study, we investigated the instructional practices of 25 K–12 teachers using a series of in-depth, semi-structured interviews to develop understandings of how they used peer work to support student-directed projects in their classrooms. Teachers described supporting their students in navigating three stages of project development: generating ideas, pursuing ideas, and presenting ideas. For each of these three stages, teachers considered multiple factors to encourage engagement with peer work in their classrooms, including the quality and completeness of shared work and the modes of interaction with the work. We discuss how this pedagogical approach offers students new relationships to their own learning, to their peers, and to their teachers and communicates important messages to students about their own competence and agency, potentially contributing to aims within computer science for broadening participation.

Creativity in CS1: A Literature Review

Computer science is a fast-growing field in today’s digitized age, and working in this industry often requires creativity and innovative thought. An issue within computer science education, however, is that large introductory programming courses often involve little opportunity for creative thinking within coursework. The undergraduate introductory programming course (CS1) is notorious for its poor student performance and retention rates across multiple institutions. Integrating opportunities for creative thinking may help combat this issue by adding a personal touch to course content, which could allow beginner CS students to better relate to the abstract world of programming. Research on the role of creativity in computer science education (CSE) is an interesting area with a lot of room for exploration due to the complexity of the phenomenon of creativity as well as the CSE research field being fairly new compared to some other education fields where this topic has been more closely explored. To contribute to this area of research, this article provides a literature review exploring the concept of creativity as relevant to computer science education and CS1 in particular. Based on the review of the literature, we conclude creativity is an essential component to computer science, and the type of creativity that computer science requires is in fact, a teachable skill through the use of various tools and strategies. These strategies include the integration of open-ended assignments, large collaborative projects, learning by teaching, multimedia projects, small creative computational exercises, game development projects, digitally produced art, robotics, digital story-telling, music manipulation, and project-based learning. Research on each of these strategies and their effects on student experiences within CS1 is discussed in this review. Last, six main components of creativity-enhancing activities are identified based on the studies about incorporating creativity into CS1. These components are as follows: Collaboration, Relevance, Autonomy, Ownership, Hands-On Learning, and Visual Feedback. The purpose of this article is to contribute to computer science educators’ understanding of how creativity is best understood in the context of computer science education and explore practical applications of creativity theory in CS1 classrooms. This is an important collection of information for restructuring aspects of future introductory programming courses in creative, innovative ways that benefit student learning.

CATS: Customizable Abstractive Topic-based Summarization

Neural sequence-to-sequence models are the state-of-the-art approach used in abstractive summarization of textual documents, useful for producing condensed versions of source text narratives without being restricted to using only words from the original text. Despite the advances in abstractive summarization, custom generation of summaries (e.g., towards a user’s preference) remains unexplored. In this article, we present CATS, an abstractive neural summarization model that summarizes content in a sequence-to-sequence fashion while also introducing a new mechanism to control the underlying latent topic distribution of the produced summaries. We empirically illustrate the efficacy of our model in producing customized summaries and present findings that facilitate the design of such systems. We use the well-known CNN/DailyMail dataset to evaluate our model. Furthermore, we present a transfer-learning method and demonstrate the effectiveness of our approach in a low resource setting, i.e., abstractive summarization of meetings minutes, where combining the main available meetings’ transcripts datasets, AMI and International Computer Science Institute(ICSI) , results in merely a few hundred training documents.

Exploring students’ and lecturers’ views on collaboration and cooperation in computer science courses - a qualitative analysis

Factors affecting student educational choices regarding oer material in computer science, export citation format, share document.

[100+] Computer Science Research Topics Free [Thesis Pdf] 2023

Are You Searching Research Topics For Computer Science ,   Topics For Computer Science Research Paper, Computer Science Research Topics For Students, Research Topics Ideas For Computer Science, Computer Science Research Topics For PhD, Computer Science PhD Topics. So You are in right place. 

In this article, we provide you latest research topics for Computer Science with a full Phd thesis. By these research topics for Computer Science you can get idea for your research work. On this website, you can get lots of Computer Science Research Topics for College Students,  PhD, Mphil, Dissertations, Thesis, Project, Presentation, Seminar or Workshop. Check the suggestions below that can help you choose the right research topics for Computer Science: You can also Free Download Computer Science Research PhD Thesis in Pdf by the given link.

Now Check 100+ Computer Science Research Topics List

Table of Contents

Research Topic For Computer Science 2023

Computer science research topics for dissertation, research topics ideas for computer science.

पीयर-रिव्यू जर्नल क्या नियुक्ति हेतु मान्य है ? Ugc Notification on Peer Reviewed Journals

Computer Science Research Topics Ideas For College Students

Topics for computer science research paper, computer science research topics for thesis, computer science research topics for students, computer science research topics for undergraduate students, computer science research topics for university students, computer science research topics for phd, research topics for phd in computer science, research topics for mphil computer science, computer science phd topics, research paper topics for computer science, computer science research paper topics, phd thesis topic for computer science, research topics for computer science subject, computer science research topics for fisheries, research topics for computer science, computer science research topics examples.

Note: All Research Work Idea on this website is inspired by Shodhganga: a reservoir of Indian Theses. We provide you mostly research work under Creative Commons Licence. Credit goes to https://shodhganga.inflibnet.ac.in/

If you find any copyright content on this website and you have any objection than plz immediately connect us on [email protected]. We Will remove that content as soon as.

This Post is also helpful for: Computer Science Thesis Pdf, Computer Science Thesis Topics, Computer Science Dissertation Topics, Computer Science Thesis, Catchy Title For Computer Science, Phd Thesis Topic for Computer Science, Computer Science Research Paper Topics, Computer Science Phd Topics, Computer Science Research Topics, Research Topics For Computer Science Students in India, Computer Science Research Topics For College Students.

14 thoughts on “[100+] Computer Science Research Topics Free [Thesis Pdf] 2023”

• Pingback: Home - Research Scholar
• Pingback: Home Page 3 - Research Scholar
• Pingback: How To Write Master Thesis Pdf: Step By Step Example and Quickly Tips - Research Scholar
• Pingback: How To Do Research in Computer Science 2023 - Research Scholar
• Pingback: How to do Research In Geography 2023 - Research Scholar
• Pingback: How To Do Research in Statistics 2023 - Research Scholar
• Pingback: How To Do Research in Agriculture 2023 - Research Scholar
• Pingback: How To Do Research in Public Administration 2023 - Research Scholar
• Pingback: How To Do Research in Applied Psychology 2023 - Research Scholar
• Pingback: How To Do Research in Political Science 2023 - Research Scholar
• Pingback: How To Do Research in Organic Chemistry 2023 - Research Scholar
• Pingback: How To Do Research in Pharmacy 2023 - Research Scholar
• Pingback: How To Do Research in Geology 2023 - Research Scholar
• Pingback: How To Do Research in Zoology 2023 - Research Scholar

Leave a Comment Cancel reply

Save my name, email, and website in this browser for the next time I comment.

• Research & Faculty
• Offices & Services
• Information for:
• Faculty & Staff
• News & Events
• Contact & Visit
• About the Department
• Message from the Chair
• Computer Science Major (BS/BA)
• Computer Science Minor
• Data Science and Engineering Minor
• Combined BS (or BA)/MS Degree Program
• Intro Courses
• Special Programs & Opportunities
• Student Groups & Organizations
• Undergraduate Programs
• Undergraduate Research
• Senior Thesis
• Peer Mentors
• Curriculum & Requirements
• MS in Computer Science
• PhD in Computer Science
• Admissions FAQ
• Financial Aid
• Graduate Programs
• Courses Collapse Courses Submenu
• Research Overview
• Research Areas
• Systems and Networking
• Security and Privacy
• Programming Languages
• Artificial Intelligence
• Human-Computer Interaction
• Vision and Graphics
• Groups & Labs
• Affiliated Centers & Institutes
• Industry Partnerships
• Adobe Research Partnership
• Center for Advancing Safety of Machine Intelligence
• Submit a Tech Report
• Tech Reports
• Tenure-Track Faculty
• Faculty of Instruction
• Affiliated Faculty
• Adjunct Faculty
• Postdoctoral Fellows
• PhD Students
• Outgoing PhDs and Postdocs
• Visiting Scholars
• News Archive
• Weekly Bulletin
• Monthly Student Newsletter
• All Public Events
• Seminars, Workshops, & Talks
• Distinguished Lecture Series
• CS Colloquium Series
• CS + X Events
• Tech Talk Series
• Honors & Awards
• External Faculty Awards
• University Awards
• Department Awards
• Student Resources
• Undergraduate Student Resources
• MS Student Resources
• PhD Student Resources
• Student Organization Resources
• Faculty Resources
• Postdoc Resources
• Staff Resources
• Purchasing, Procurement and Vendor Payment
• Expense Reimbursements
• Department Operations and Facilities
• Initiatives
• Student Groups
• CS Faculty Diversity Committee
• Broadening Participation in Computing (BPC) Plan
• Northwestern Engineering

Academics   /   Courses   /   Descriptions COMP_SCI 397, 497: Selected Topics in Computer Networks

Prerequisites, description.

The course will cover a broad range of topics including congestion control, routing, analysis and design of network protocols (both wired and wireless), data centers, analysis and performance of content distribution networks, network security, vulnerability, and defenses, net neutrality, and online social networks.

Students will form teams of two or three; each team will tackle a well-defined research project during the quarter. A list of suggested project topics will be provided. All projects are subjected to approval by the instructor. The project component will include a short written project proposal, a short mid-term project report, a final project presentation, and a final project report. Each component adds some significant element to the paper, and the overall project grade will be based on the quality of each component of your work.

The above project components are due by email to the instructor by the end of the given day of the respective week. 

• Week 1: Project presentations by group leaders
• Week 2: Form groups of 2 or 3, choose a topic for your project, and meet with the project leader.
• Week 3: Write an introduction describing the problem and how you plan to approach it (what will you actually do?). Include motivation (why does the problem matter?) and related work (what have others already done about it?). 2 pages total.
• Week 6: Midterm presentation. Update your paper to include your preliminary results. 5 pages total.
• Week 11: Presentations by all groups.
• Week 12: Turn in your completed paper. 10 pages total. You should incorporate the comments received during the presentation.

Each team will have a weekly meeting with project leaders. Grading

• Paper reviews (15%), presentations (20%) and debating in the class (15%): 50%
• Projects 50% (Project proposal: 5%; Midterm report: 5%; weekly report and meeting: 10%; project presentation: 10%; final project report: 20%)
• Research idea report (optional, 3 pages): 10%

PREREQUISITES: Recommended: CS 340 or equivalent networking course 

Classes, Textbook, and other readings 

There will be no textbook for this class. A key part of the class will be to review and discuss networking research papers. Students must read the assigned papers and submit paper reviews before each lecture. Two teams of students will be chosen to debate and lead the discussion. One team will be designated the offense and the other the defense. In class, the defense team will present first. For 30 minutes the team will discuss the work as if it were their own. 

• The team should present the work and make a compelling case why the contribution is significant. This will include the context of the contribution, prior work, and in cases where papers are previously published, how the work has influenced the research community or industry's directions (impact). If the paper is very recent, the defense should present arguments for the potential impact. Coming up with potential future work can show how the paper opens doors to new
• The presentation should go well beyond a paper "summary". The defense should not critique the work other than to try to pre-empt attacks from the offense (e.g., by explicitly limiting the scope of the contribution).
• The defense should also try to look up related work to support their case (CiteSeer is a good place to start looking.)

After the defense presentation, the offense team will state their case for 20 minutes. 

• This team should critique the work, and make a case for missing links, unaddressed issues, lack of impact, inappropriateness of the problem formulation,
• The more insightful and less obvious the criticisms the better.
• While the offense should prepare remarks in advance, they should also react to the points made by the defense.
• The offense should also try to look up related work to support their case.

Next, the defense and offense will be allowed follow up arguments, and finally, the class will question either side either for clarifications or to add to the discussions and controversy and make their own points on either side. The presentations should be written in Powerpoint format and will be posted on the course web page after each class. 

Writing and Submitting Reviews 

All students must read the assigned papers and write reviews for the papers before each lecture. Email the reviews to the instructor ([email protected]) prior to each lecture and the reviews will be posted on the course web page. Periodically, the instructor will evaluate a random subset of the reviews and provide feedback and grades to students. 

Please send one review in plain text per email in the body of the email message. 

A review should summarize the paper sufficiently to demonstrate your understanding, should point out the paper's contributions, strengths as well as weaknesses. Think in terms of what makes good research? What qualities make a good paper? What are the potential future impacts of the work? Note that there is no right or wrong answer to these questions. A review's quality will mainly depend on its thoughtfulness. Restating the abstract/conclusion of the paper will not earn a top grade. Reviews are roughly half-page and should cover all of the following aspects: 

• What is the main result of the paper? (One or two sentence summary)
• What strengths do you see in this paper? (Your review needs have at least one or two positive things to say)
• What are some key limitations, unproven assumptions, or methodological problems with the work?
• How could the work be improved?
• What is its relevance today, or what future work does it suggest?

COMMUNICATION

Course web site: TBA.

Check it out regularly for schedule changes and other course-related announcements.

Group Email: TBA

COURSE COORDINATOR: Aleksandar Kuzmanovic

COURSE INSTRUCTOR: Prof. Kuzmanovic

• MyU : For Students, Faculty, and Staff

Fall 2024 CSCI Special Topics Courses

Cloud computing.

Meeting Time: 09:45 AM‑11:00 AM TTh  Instructor: Ali Anwar Course Description: Cloud computing serves many large-scale applications ranging from search engines like Google to social networking websites like Facebook to online stores like Amazon. More recently, cloud computing has emerged as an essential technology to enable emerging fields such as Artificial Intelligence (AI), the Internet of Things (IoT), and Machine Learning. The exponential growth of data availability and demands for security and speed has made the cloud computing paradigm necessary for reliable, financially economical, and scalable computation. The dynamicity and flexibility of Cloud computing have opened up many new forms of deploying applications on infrastructure that cloud service providers offer, such as renting of computation resources and serverless computing.    This course will cover the fundamentals of cloud services management and cloud software development, including but not limited to design patterns, application programming interfaces, and underlying middleware technologies. More specifically, we will cover the topics of cloud computing service models, data centers resource management, task scheduling, resource virtualization, SLAs, cloud security, software defined networks and storage, cloud storage, and programming models. We will also discuss data center design and management strategies, which enable the economic and technological benefits of cloud computing. Lastly, we will study cloud storage concepts like data distribution, durability, consistency, and redundancy. Registration Prerequisites: CS upper div, CompE upper div., EE upper div., EE grad, ITI upper div., Univ. honors student, or dept. permission; no cr for grads in CSci. Complete the following Google form to request a permission number from the instructor ( https://forms.gle/6BvbUwEkBK41tPJ17 ).

CSCI 5980/8980 

Machine learning for healthcare: concepts and applications.

Meeting Time: 11:15 AM‑12:30 PM TTh  Instructor: Yogatheesan Varatharajah Course Description: Machine Learning is transforming healthcare. This course will introduce students to a range of healthcare problems that can be tackled using machine learning, different health data modalities, relevant machine learning paradigms, and the unique challenges presented by healthcare applications. Applications we will cover include risk stratification, disease progression modeling, precision medicine, diagnosis, prognosis, subtype discovery, and improving clinical workflows. We will also cover research topics such as explainability, causality, trust, robustness, and fairness.

Registration Prerequisites: CSCI 5521 or equivalent. Complete the following Google form to request a permission number from the instructor ( https://forms.gle/z8X9pVZfCWMpQQ6o6  ).

Visualization with AI

Meeting Time: 04:00 PM‑05:15 PM TTh  Instructor: Qianwen Wang Course Description: This course aims to investigate how visualization techniques and AI technologies work together to enhance understanding, insights, or outcomes.

This is a seminar style course consisting of lectures, paper presentation, and interactive discussion of the selected papers. Students will also work on a group project where they propose a research idea, survey related studies, and present initial results.

This course will cover the application of visualization to better understand AI models and data, and the use of AI to improve visualization processes. Readings for the course cover papers from the top venues of AI, Visualization, and HCI, topics including AI explainability, reliability, and Human-AI collaboration.    This course is designed for PhD students, Masters students, and advanced undergraduates who want to dig into research.

Registration Prerequisites: Complete the following Google form to request a permission number from the instructor ( https://forms.gle/YTF5EZFUbQRJhHBYA  ). Although the class is primarily intended for PhD students, motivated juniors/seniors and MS students who are interested in this topic are welcome to apply, ensuring they detail their qualifications for the course.

Visualizations for Intelligent AR Systems

Meeting Time: 04:00 PM‑05:15 PM MW  Instructor: Zhu-Tian Chen Course Description: This course aims to explore the role of Data Visualization as a pivotal interface for enhancing human-data and human-AI interactions within Augmented Reality (AR) systems, thereby transforming a broad spectrum of activities in both professional and daily contexts. Structured as a seminar, the course consists of two main components: the theoretical and conceptual foundations delivered through lectures, paper readings, and discussions; and the hands-on experience gained through small assignments and group projects. This class is designed to be highly interactive, and AR devices will be provided to facilitate hands-on learning.    Participants will have the opportunity to experience AR systems, develop cutting-edge AR interfaces, explore AI integration, and apply human-centric design principles. The course is designed to advance students' technical skills in AR and AI, as well as their understanding of how these technologies can be leveraged to enrich human experiences across various domains. Students will be encouraged to create innovative projects with the potential for submission to research conferences.

Registration Prerequisites: Complete the following Google form to request a permission number from the instructor ( https://forms.gle/Y81FGaJivoqMQYtq5 ). Students are expected to have a solid foundation in either data visualization, computer graphics, computer vision, or HCI. Having expertise in all would be perfect! However, a robust interest and eagerness to delve into these subjects can be equally valuable, even though it means you need to learn some basic concepts independently.

Sustainable Computing: A Systems View

Meeting Time: 09:45 AM‑11:00 AM  Instructor: Abhishek Chandra Course Description: In recent years, there has been a dramatic increase in the pervasiveness, scale, and distribution of computing infrastructure: ranging from cloud, HPC systems, and data centers to edge computing and pervasive computing in the form of micro-data centers, mobile phones, sensors, and IoT devices embedded in the environment around us. The growing amount of computing, storage, and networking demand leads to increased energy usage, carbon emissions, and natural resource consumption. To reduce their environmental impact, there is a growing need to make computing systems sustainable. In this course, we will examine sustainable computing from a systems perspective. We will examine a number of questions:   • How can we design and build sustainable computing systems?   • How can we manage resources efficiently?   • What system software and algorithms can reduce computational needs?    Topics of interest would include:   • Sustainable system design and architectures   • Sustainability-aware systems software and management   • Sustainability in large-scale distributed computing (clouds, data centers, HPC)   • Sustainability in dispersed computing (edge, mobile computing, sensors/IoT)

Registration Prerequisites: This course is targeted towards students with a strong interest in computer systems (Operating Systems, Distributed Systems, Networking, Databases, etc.). Background in Operating Systems (Equivalent of CSCI 5103) and basic understanding of Computer Networking (Equivalent of CSCI 4211) is required.

• Future undergraduate students
• Future transfer students
• Future graduate students
• Future international students
• Diversity and Inclusion Opportunities
• Learn abroad
• Living Learning Communities
• Mentor programs
• Programs for women
• Student groups
• Visit, Apply & Next Steps
• Information for current students
• Departments and majors overview
• Departments
• Undergraduate majors
• Graduate programs
• Integrated Degree Programs
• Additional degree-granting programs
• Online learning
• Academic Advising overview
• Academic Advising FAQ
• Academic Advising Blog
• Appointments and drop-ins
• Academic support
• Commencement
• Four-year plans
• Honors advising
• Policies, procedures, and forms
• Career Services overview
• Resumes and cover letters
• Jobs and internships
• Interviews and job offers
• CSE Career Fair
• Major and career exploration
• Graduate school
• Collegiate Life overview
• Scholarships
• Diversity & Inclusivity Alliance
• Anderson Student Innovation Labs
• Information for alumni
• Get engaged with CSE
• Upcoming events
• CSE Alumni Society Board
• Alumni volunteer interest form
• Golden Medallion Society Reunion
• 50-Year Reunion
• Alumni honors and awards
• Outstanding Achievement
• Alumni Service
• Distinguished Leadership
• Honorary Doctorate Degrees
• Nobel Laureates
• Alumni resources
• Alumni career resources
• Alumni news outlets
• CSE branded clothing
• International alumni resources
• Inventing Tomorrow magazine
• Update your info
• CSE giving overview
• Why give to CSE?
• College priorities
• Give online now
• External relations
• Giving priorities
• Donor stories
• Impact of giving
• Ways to give to CSE
• Matching gifts
• CSE directories
• Invest in your company and the future
• Recruit our students
• Connect with researchers
• K-12 initiatives
• Diversity initiatives
• Research news
• Give to CSE
• CSE priorities
• Corporate relations
• Information for faculty and staff
• Administrative offices overview
• Office of the Dean
• Academic affairs
• Finance and Operations
• Communications
• Human resources
• Undergraduate programs and student services
• CSE Committees
• CSE policies overview
• Academic policies
• Faculty hiring and tenure policies
• Finance policies and information
• Graduate education policies
• Human resources policies
• Research policies
• Research overview
• Research centers and facilities
• Research proposal submission process
• Research safety
• Award-winning CSE faculty
• National academies
• University awards
• Honorary professorships
• Collegiate awards
• Other CSE honors and awards
• Staff awards
• Performance Management Process
• Work. With Flexibility in CSE
• K-12 outreach overview
• Summer camps
• Outreach events
• Enrichment programs
• Field trips and tours
• CSE K-12 Virtual Classroom Resources
• Educator development
• Sponsor an event

Wang Feng and Gene Tsudik are named 2024 Guggenheim Fellows (UCI News)

Uc irvine scholars are among 188 recipients of prestigious award this year.

• Share on Facebook
• Share on Twitter
• Share on LinkedIn
• Share through Email
• Copy permalink

Irvine, Calif., April 11, 2024 — University of California, Irvine professors Wang Feng and Gene Tsudik have been awarded 2024 Guggenheim Fellowships. They join 186 other American and Canadian scientists and scholars receiving the prestigious grants this year.

Tsudik is a Distinguished Professor of computer science. His research interests include many topics in computer security, privacy and applied cryptography. Some of his recent work is focused on security (especially, malware-resistance) for the burgeoning global ecosystem of so-called Internet of Things devices. He is a Fulbright scholar and a three-time Fulbright specialist. He received the 2017 Outstanding Contribution Award from the Association for Computing Machinery’s Special Interest Group on Security, Audit and Control and the 2020 Jean-Claude Laprie Award from the International Federation for Information Processing. He is also the author of the first crypto-poem published as a refereed paper. Tsudik is the only computer scientist to be awarded a Guggenheim Fellowship this year, and he intends to use his fellowship funding to bootstrap a new line of research on building IoT devices resilient against devastating large-scale malware infestations that have become all too common in recent years.

Read the full story in UCI News .

Related Posts

Retaining cs majors: predictive modeling and targeted academic interventions, grad student & basketball guard moulayna johnson sidi baba on uc irvine’s historic season, an ai app claims it can detect sexually transmitted infections. doctors say it’s a disaster (la times), integrating accessibility into data science curricula, #schoolsnotprisons: attend the informatics seminar on participatory action research, a multitasker’s guide to regaining focus (the new york times).