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M. Balakrishnan | Dept. Computer Science and Engineering | IIT Delhi | Hauz Khas | New Delhi 110016 | [email protected]

Home > College of Natural Sciences > COMPUTERSCI-ENGINEERING > COMPUTERSCI-ENGINEERING-ETD

Computer Science and Engineering Theses, Projects, and Dissertations

Theses/projects/dissertations from 2024 2024.

TRAFFIC ANALYSIS OF CITIES IN SAN BERNARDINO COUNTY , Sai Kalyan Ayyagari

Recommendation System using machine learning for fertilizer prediction , Durga Rajesh Bommireddy

Classification of Remote Sensing Image Data Using Rsscn-7 Dataset , Satya Priya Challa

Cultural Awareness Application , Bharat Gupta

PREDICTING HOSPITALIZATION USING ARTIFICIAL INTELLIGENCE , Sanath Hiremath

AUTOMATED BRAIN TUMOR CLASSIFIER WITH DEEP LEARNING , venkata sai krishna chaitanya kandula

TRUCK TRAFFIC ANALYSIS IN THE INLAND EMPIRE , Bhavik Khatri

Crash Detecting System Using Deep Learning , Yogesh Reddy Muddam

A SMART HYBRID ENHANCED RECOMMENDATION AND PERSONALIZATION ALGORITHM USING MACHINE LEARNING , Aswin Kumar Nalluri

Theses/Projects/Dissertations from 2023 2023

CLASSIFICATION OF LARGE SCALE FISH DATASET BY DEEP NEURAL NETWORKS , Priyanka Adapa

GEOSPATIAL WILDFIRE RISK PREDICTION USING DEEP LEARNING , Abner Alberto Benavides

HUMAN SUSPICIOUS ACTIVITY DETECTION , Nilamben Bhuva

MAX FIT EVENT MANAGEMENT WITH SALESFORCE , AKSHAY DAGWAR

MELANOMA DETECTION BASED ON DEEP LEARNING NETWORKS , Sanjay Devaraneni

Heart Disease Prediction Using Binary Classification , Virendra Sunil Devare

CLASSIFICATION OF THORAX DISEASES FROM CHEST X-RAY IMAGES , Sharad Jayusukhbhai Dobariya

WEB BASED MANAGEMENT SYSTEM FOR HOUSING SOCIETY , Likhitha Reddy Eddala

Sales and Stock Management System , Rashmika Gaddam Ms

CONTACTLESS FOOD ORDERING SYSTEM , Rishivar Kumar Goli

RESTAURANT MANAGEMENT WEBSITE , Akhil Sai Gollapudi

DISEASE OF LUNG INFECTION DETECTION USING CNN MODEL -BAYESIAN OPTIMIZATION , poojitha gutha

DATA POISONING ATTACKS ON PHASOR MEASUREMENT UNIT DATA , Rutuja Sanjeev Haridas

CRIME MAPPING ANALYSIS USING WEB APPLICATION. , Lavanya Krishnappa

A LONG-TERM FUNDS PREDICTOR BASED ON DEEP LEARNING , SHUIYI KUANG

LIVER SEGMENTATION AND LESION DETECTION IN MEDICAL IMAGES USING A DEEP LEARNING-BASED U-NET MODEL , Kaushik Mahida

PHASOR MEASUREMENT UNIT DATA VISUALIZATION , Nikhila Mandava

TWITTER POLICING , Hemanth Kumar Medisetty

TRANSACTION MANAGEMENT SYSYEM FOR A PUBLISHER , HASSAIN SHAREEF MOHAMMED JR

LOBANGU: AN OPTICAL CHARACTER RECOGNITION RECEIPT MANAGEMENT APP FOR HEALTH CENTER PHARMACIES IN THE D.R.CONGO AND SURROUNDING EASTERN AFRICAN COUNTRIES , Bénis Munganga

PREDICTIVE MODEL FOR CFPB CONSUMER COMPLAINTS , Vyshnavi Nalluri

REVIEW CLASSIFICATION USING NATURAL LANGUAGE PROCESSING AND DEEP LEARNING , Brian Nazareth

Brain Tumor Detection Using MRI Images , Mayur Patel

QUIZ WEB APPLICATION , Dipti Rathod

HYPOTHYROID DISEASE ANALYSIS BY USING MACHINE LEARNING , SANJANA SEELAM

Pillow Based Sleep Tracking Device Using Raspberry Pi , Venkatachalam Seviappan

FINSERV ANDROID APPLICATION , Harsh Piyushkumar Shah

AUTOMATED MEDICAL NOTES LABELLING AND CLASSIFICATION USING MACHINE LEARNING , Akhil Prabhakar Thota

GENETIC PROGRAMMING TO OPTIMIZE PERFORMANCE OF MACHINE LEARNING ALGORITHMS ON UNBALANCED DATA SET , Asitha Thumpati

GOVERNMENT AID PORTAL , Darshan Togadiya

GENERAL POPULATION PROJECTION MODEL WITH CENSUS POPULATION DATA , Takenori Tsuruga

LUNG LESION SEGMENTATION USING DEEP LEARNING APPROACHES , Sree Snigdha Tummala

DETECTION OF PHISHING WEBSITES USING MACHINE LEARNING , Saranya Valleri

Machine Learning for Kalman Filter Tuning Prediction in GPS/INS Trajectory Estimation , Peter Wright

Theses/Projects/Dissertations from 2022 2022

LEARN PROGRAMMING IN VIRTUAL REALITY? A PROJECT FOR COMPUTER SCIENCE STUDENTS , Benjamin Alexander

LUNG CANCER TYPE CLASSIFICATION , Mohit Ramajibhai Ankoliya

HIGH-RISK PREDICTION FOR COVID-19 PATIENTS USING MACHINE LEARNING , Raja Kajuluri

IMPROVING INDIA’S TRAFFIC MANAGEMENT USING INTELLIGENT TRANSPORTATION SYSTEMS , Umesh Makhloga

DETECTION OF EPILEPSY USING MACHINE LEARNING , Balamurugan Murugesan

SOCIAL MOBILE APPLICATION: UDROP , Mahmoud Oraiqat

Improved Sensor-Based Human Activity Recognition Via Hybrid Convolutional and Recurrent Neural Networks , Sonia Perez-Gamboa

College of Education FileMaker Extraction and End-User Database Development , Andrew Tran

DEEP LEARNING EDGE DETECTION IN IMAGE INPAINTING , Zheng Zheng

Theses/Projects/Dissertations from 2021 2021

A General Conversational Chatbot , Vipin Nambiar

Verification System , Paras Nigam

DESKTOP APPLICATION FOR THE PUZZLE BOARD GAME “RUSH HOUR” , Huanqing Nong

Ahmedabad City App , Rushabh Picha

COMPUTER SURVEILLANCE SYSTEM USING WI-FI FOR ANDROID , Shashank Reddy Saireddy

ANDROID PARKING SYSTEM , Vishesh Reddy Sripati

Sentiment Analysis: Stock Index Prediction with Multi-task Learning and Word Polarity Over Time , Yue Zhou

Theses/Projects/Dissertations from 2020 2020

BUBBLE-IN DIGITAL TESTING SYSTEM , Chaz Hampton

FEEDBACK REVIEW SYSTEM USING SENTIMENT ANALYSIS , Vineeth Kukkamalla

WEB APPLICATION FOR MOVIE PERFORMANCE PREDICTION , Devalkumar Patel

Theses/Projects/Dissertations from 2019 2019

REVIEWS TO RATING CONVERSION AND ANALYSIS USING MACHINE LEARNING TECHNIQUES , Charitha Chanamolu

EASY EXAM , SARTHAK DABHI

EXTRACT TRANSFORM AND LOADING TOOL FOR EMAIL , Amit Rajiv Lawanghare

VEHICLE INFORMATION SYSTEM USING BLOCKCHAIN , Amey Zulkanthiwar

Theses/Projects/Dissertations from 2018 2018

USING AUTOENCODER TO REDUCE THE LENGTH OF THE AUTISM DIAGNOSTIC OBSERVATION SCHEDULE (ADOS) , Sara Hussain Daghustani

California State University, San Bernardino Chatbot , Krutarth Desai

ORGANIZE EVENTS MOBILE APPLICATION , Thakshak Mani Chandra Reddy Gudimetla

SOCIAL NETWORK FOR SOFTWARE DEVELOPERS , Sanket Prabhakar Jadhav

VIRTUALIZED CLOUD PLATFORM MANAGEMENT USING A COMBINED NEURAL NETWORK AND WAVELET TRANSFORM STRATEGY , Chunyu Liu

INTER PROCESS COMMUNICATION BETWEEN TWO SERVERS USING MPICH , Nagabhavana Narla

SENSOR-BASED HUMAN ACTIVITY RECOGNITION USING BIDIRECTIONAL LSTM FOR CLOSELY RELATED ACTIVITIES , Arumugam Thendramil Pavai

NEURAL NETWORK ON VIRTUALIZATION SYSTEM, AS A WAY TO MANAGE FAILURE EVENTS OCCURRENCE ON CLOUD COMPUTING , Khoi Minh Pham

EPICCONFIGURATOR COMPUTER CONFIGURATOR AND CMS PLATFORM , IVO A. TANTAMANGO

STUDY ON THE PATTERN RECOGNITION ENHANCEMENT FOR MATRIX FACTORIZATIONS WITH AUTOMATIC RELEVANCE DETERMINATION , hau tao

Theses/Projects/Dissertations from 2017 2017

CHILDREN’S SOCIAL NETWORK: KIDS CLUB , Eiman Alrashoud

MULTI-WAY COMMUNICATION SYSTEM , S. Chinnam

WEB APPLICATION FOR GRADUATE COURSE RECOMMENDATION SYSTEM , Sayali Dhumal

MOBILE APPLICATION FOR ATTENDANCE SYSTEM COYOTE-ATTENDANCE , Sindhu Hari

WEB APPLICATION FOR GRADUATE COURSE ADVISING SYSTEM , Sanjay Karrolla

Custom T-Shirt Designs , Ranjan Khadka

STUDENT CLASS WAITING LIST ENROLLMENT , AISHWARYA LACHAGARI

ANDROID MOBILE APPLICATION FOR HOSPITAL EXECUTIVES , Vihitha Nalagatla

PIPPIN MACHINE , Kiran Reddy Pamulaparthy

SOUND MODE APPLICATION , Sindhuja Pogaku

I2MAPREDUCE: DATA MINING FOR BIG DATA , Vishnu Vardhan Reddy Sherikar

COMPARING AND IMPROVING FACIAL RECOGNITION METHOD , Brandon Luis Sierra

NATURAL LANGUAGE PROCESSING BASED GENERATOR OF TESTING INSTRUMENTS , Qianqian Wang

AUTOMATIC GENERATION OF WEB APPLICATIONS AND MANAGEMENT SYSTEM , Yu Zhou

Theses/Projects/Dissertations from 2016 2016

CLOTH - MODELING, DEFORMATION, AND SIMULATION , Thanh Ho

CoyoteLab - Linux Containers for Educational Use , Michael D. Korcha

PACKET FILTER APPROACH TO DETECT DENIAL OF SERVICE ATTACKS , Essa Yahya M Muharish

DATA MINING: TRACKING SUSPICIOUS LOGGING ACTIVITY USING HADOOP , Bir Apaar Singh Sodhi

Theses/Projects/Dissertations from 2015 2015

APPLY DATA CLUSTERING TO GENE EXPRESSION DATA , Abdullah Jameel Abualhamayl Mr.

Density Based Data Clustering , Rayan Albarakati

Developing Java Programs on Android Mobile Phones Using Speech Recognition , Santhrushna Gande

THE DESIGN AND IMPLEMENTATION OF AN ADAPTIVE CHESS GAME , Mehdi Peiravi

CALIFORNIA STATE UNIVERSITY SAN BERNARDINO WiN GPS , Francisco A. Ron

ESTIMATION ON GIBBS ENTROPY FOR AN ENSEMBLE , Lekhya Sai Sake

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Recent Submissions

• A computational approach to assist healthcare professionals in selecting antibacterial drugs to treat bacterial infections  Chatterjee, Sayantika ; Majumdar, Angshul (Advisor) ( IIIT-Delhi , 2023-05 ) The reproducibility of experiments has been a long-standing obstruction for farther scientific evolution. Computational methods are being involved to accelerate and to economize drug discovery and the development process. ...
• Visual monitoring for wildlife : detection and re-identification  Ananya ; Anand, Saket (Advisor) ( IIIT-Delhi , 2023-05 ) Visual wildlife monitoring of animals requires detection for species-level categorization and re-identification (Re-ID) for population estimation of an individual species. Traditionally, the monitoring is done via GPS ...
• Counterfactual inference framework for joint estimation of medical costs, treatment effect and time-to-event  Khan, Zuber ; Prasad, Ranjitha (Advisor) ( IIIT-Delhi , 2022-12 ) Optimal treatment selection is extremely crucial in emergency situations such as for a patient admitted in ICU. However, the chosen medical treatment may not necessarily be a financially favorable choice. In some of the ...
• Software prototype of IEEE 802.11ad based joint radar communication receiver  Sindhu, V Sri ; Ram, Shobha Sundar (Advisor) ; Darak, Sumit Jagdish (Advisor) ( IIIT-Delhi , 2022-09 ) Rapid beam alignment is required to support high gain millimeter wave (mmW) communication links between a base station (BS) and mobile users (MU). The standard IEEE 802.11ad protocol enables beam alignment at the BS ...
• Optimizing medical costs and resource utilization using causal inference and explaining the model’s predictions  Jain, Tanisha ; Prasad, Ranjitha (Advisor) ( IIIT-Delhi , 2023-07 ) Machine learning (ML) models that accurately predict treatment effects and related healthcare costs can bring significant efficiencies in the healthcare industry. These models could help reduce fatalities resulting from ...
• Software and hardware prototype of ieee 802.11ad based joint radar communication transmitter  Jain, Soumya ; Ram, Shobha Sundar (Advisor) ; Darak, Sumit Jagdish (Advisor) ( IIIT-Delhi , 2022-07 ) Next-generation wireless communication systems are expected to support high-mobility and high-bandwidth vehicle-to-everything (V2X) communications in sub-6 GHz and millimeter wave (mmWave) spectrum. The deployment in mmWave ...
• A practical methodology to waive marginal timing violations using machine learning  Kumar, Rajat ; Saurabh, Sneh (Advisor) ( IIIT-Delhi , 2022-07 ) Achieving timing closure is a challenging task, and it becomes more complicated due to the artificial pessimism in the traditional timing models of the flip-flops. During the signoff stages, we can alleviate this problem ...
• Personalized unsupervised federated autoencoders  Arora, Kanika ; Prasad, Ranjitha (Advisor) ( IIIT-Delhi , 2023-07 ) An immense amount of data is generated daily usingmodern technologies in autonomous vehicles, IoT, smart grids, etc. But unfortunately, this data generated at the edge cannot be used for any machine learning model training ...
• Explorized filter-based on-policy adaptive optimal lqr with unknown dynamics  Chhillar, Jayant ; Roy, Sayan Basu (Advisor) ( IIIT-Delhi , 2023-08 ) Conventionally, optimal control solutions demand offline a priori knowledge of the system dynamics. Adaptive optimal control methods have been advantageous in allowing for dynamic controllers to approximate optimal control ...
• An artificial neural network based incremental placer for wire length reduction  Gagandeep ; Saurabh, Sneh (Advisor) ( IIIT-Delhi , 2022-08 ) The total wire length of a design affects various QoR measures such as timing, power, and routability. Hence, it is a critical parameter to optimize in physical design. Post global routing, the total wire length can be ...
• A sense amplifier based bulk built-in current sensor for detecting laser-induced currents  Batabyal, Debjit ; Grover, Anuj (Advisor) ; Kumar, Ashish (Advisor) ( IIIT-Delhi , 2022-07 ) Soft errors can occur when integrated circuits (ICs) are subjected to hostile conditions in space, the upper atmosphere, or even on Earth. For more than four decades, researchers have been studying similar phenomena. Among ...
• To study the impact of process variations on NoC performance: a circuit-centric approach  Anushka ; Deb, Sujay (Advisor) ( IIIT-Delhi , 2023-12 ) Due to technology scaling, achieving increasing bandwidth demands has become challenging and has led to the preference of Network-On-Chips (NoCs) over bus architecture as the communication infrastructure in multi-core ...
• Hardware software co-design of deep learning augmented wireless channel estimation  Sharma, Animesh ; Darak, Sumit Jagdish (Advisor) ( IIIT-Delhi , 2022-12 ) The feasibility study of deep learning (DL) approaches for reliable, flexible, and high throughput wireless physical layer (PHY) has received significant interest from academia and industry. In this direction, 3GPP has set ...
• Power estimation of in-memory compute based memory arrays using simulink blocks  Mohd, Aamir ; Grover, Anuj (Advisor) ( IIIT-Delhi , 2022-10 ) System-on-Chip (SoC) incorporates all the components of any system onto a single integrated circuit. Their compact, power-efficient architecture allows them to be used in various applications like automotive, consumer ...
• Design & performance analysis of wireless radar receiver for joint radar communication systems on RFSoC  Jha, Shragvi Sidharth ; Darak, Sumit Jagdish (Advisor) ( IIIT-Delhi , 2022-05 ) Autonomous vehicles are becoming prevalent day-by-day, and with the advent of such technology comes its various safety risks and challenges. The primary objective is to improve road safety and mobility for all users. The ...
• LDO with low quiescent current OTA and capacitance scaling circuit  Bhardwaj, Aman ; Hashmi, Mohammad S. (Advisor) ( IIIT-Delhi , 2021-12 ) The efficiency, dependability, and lifespan of any electronic system, particularly battery-powered and portable gadgets, are dependent on a specialized power management unit that offers a clean and controlled power supply. ...
• Relative position covariance estimation of resident space objects using extrapolated single propagation technique  Suresh, Ardra ; Biswas, Sanat (Advisor) ( IIIT-Delhi , 2022-07 ) Due to the ever-increasing space activities, there has been a stark increase in the number of space objects and debris, which include defunct satellites, pieces of space hardware, and launch vehicle remains. This poses a ...
• Exploring RF data converters on RFSoC platform  Sharma, Somya ; Darak, Sumit Jagdish (Advisor) ( IIIT-Delhi , 2022-07-04 ) The evolution of conventional field-programmable gate array (FPGA) platforms to all programmable multi-processor system-on-chip (MPSoC) platforms in the last decade has comprehensively addressed the scalability and flexibility ...
• On the statistical characterization of the binomial line processes  Sanyal, Souradip ; Ghatak, Gourab (Advisor) ( IIIT-Delhi , 2021-12 ) This thesis introduces the Binomial Line Process (BLP) and then Binomial Line Cox Process (BLCP) based on BLP, a novel spatial stochastic model for the charac- terization of streets in the statistical evaluation of wireless ...
• Hardware software co-design of 5G NR polar encoder and decoder on system-on-Chip  Mansi ; Darak, Sumit Jagdish (Advisor) ( IIITD , 2022-06-30 ) Channel encoder and decoder are critical components of the wireless physical layer (PHY), enabling the transceiver to overcome transmission errors due to wireless channel fading and interference. In 5G, polar encoder and ...

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M. Tech. Program

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Graphics & Vision Summer School

The IITD CSE Department is hosting a summer school on computer graphics and computer vision in summer 2024. This school is intended to give students a deep dive into the fundamentals of graphics and vision, along with hands-on experience in working on practical projects in these areas. Click here to find out more.

CSE Research Symposium

The IITD CSE Department and ACES-ACM (IITD chapter of ACM) are organizing a symposium on 19th and 20th April 2024. The symposium will feature talks by CSE PhD students and invited speakers Indrajit Bhattacharya (TCS) and Akash Lal (Microsoft). Click here to find out more!

Winter System School

IITD CSE department is organizing a winter systems school We will study classic and contemporary topics in program analysis and optimization, taught by Sorav Bansal and Kumar Madhukar. Click to find out more

CS Theory Winter School

IIT Delhi's CSE department is organizing a winter school on theoretical computer science from December 11 to 14, 2023. Click to find out more and apply by October 31, 2023.

CSE student receives gold medal

Our student Archit Bubna (2019CS10331) has received the President's Gold Medal during Convocation 2023. Congratulations Archit!

Winter Systems School

IITD CSE department is organizing a winter systems school where we will study two computer systems areas: cybersecurity and cloud computing. Click to find out more and apply by Oct 15th.

IITD CSE department is organizing a winter school on theoretical computer science during Dec 5-9, 2022. Click to find out more and apply by Oct 25!

Announcements

PhD/MSR Counselling session link on 18 March,2023(11 AM-12:30 PM).

Eligible M.Tech applications as per our shortlisting criteria. Eligible does not mean selected.

M.Tech 2021 shortlisting criteria ( link )

IIT Delhi is participating in COAP Round 3.

Please See bleow details for CSE Faculty Recruitment

CSE Faculty Recruitment:

Click here for CSE Faculty Recruitment

Students who wish to be UG TAs should fill the following form

https://forms.office.com/r/Lt6U6K2bVU

Admissions and Results

M.Tech Shortlisting Criteria and Other information for May 2024 ( Click here )

PhD/MSR Selection Process and Shortlisting Criteria @ Dept. of CSE (May 2023). Click here

M.Tech Shortlisting Criteria and Other information for May 2023 (click here)

M.Tech Shortlisting Criteria and Other information for May 2023 Coming soon

Course offerings in 2022 Diwali Semester

• All courses offered
• Special Topics and Special Module courses

Course offerings in 2022 Holi Semester

• Special Topics courses

The M. Tech. programme in Computer Science and Engineering (code: MCS) is a Masters programme offered to students who are interested in advanced learning and research in any area of computer science. Applicants to this programme are expected to already have an excellent background in computer science. (It is not a skills conversion programme). The programme is a 60-credit degree programme, which is usually spread over 4 semesters for a full-time student. About two-thirds of the credits involve coursework, and the remainder consists of project work. The emphasis is on conducting original research and writing a thesis (individually) that reports these results. The programme is flexible enough to allow a student to specialize in any topic of interest by taking elective courses and working on a research project in that area. Placements have been excellent (100%), and our graduates have been employed at the top research laboratories and companies in the country and even abroad.

Students are provided top quality laboratory and infrastructure facilities. We endeavour to provide financial support at Master's level stipends to all GATE-qualified full-time students. Full-time students not resident in Delhi are given priority in allotment of hostel accommodation.

Specializations

In addition to the general M.Tech degree, we also offer MTech degrees with specialization in any one of the following areas:

• Computer Graphics, Vision and Multimedia
• Computer Networks and Distributed Systems
• Algorithms and Complexity
• Formal Methods in Software
• Embedded Systems and Architecture
• Software Systems

The requirement for the specialization degree is that the student must complete at least 30 credits in the area of specialization at the 700-level or higher, subject to the following constraints:

• Major Project parts 1 and 2 (adding up to 18 credits) are in that area. (The supervisor certifies that the project is in the area of specialization.)
• The remaining 12 credits are from the basket of courses identified for that area, with at least 3 credits at the 800 level. (In the case of Independent Study and some of the Special Topics courses, the supervisor/instructor indicates which specialization area.)
• Not more than 4 core credits apart from Major project (i.e., from Minor Project or CSL 758 Advanced Algorithms or CSL 718 Architecture of High Performance Systems) can be counted towards the 30 credits.

Switching programmes

It is also possible to switch your programme of study mid-way. Interested students who have demonstrated excellence in their academic performance and research potential have the opportunity to convert to the Ph. D. programme or to the MS (Research) programme.

M. Tech. in CSE with Advanced Standing

Students at IIT Delhi pursuing a B. Tech. programme in any discipline have the option of obtaining an M. Tech. in Computer Science (Programme code: MCS) by investing an additional 2-3 semesters after the end of their B. Tech. programme.

For more details, click here .

Eligibility: The candidate must have a 4-year B.Tech./B.E. degree or a MSc./MCA degree in computer-science or information technology, and have an excellent academic record. The candidate should have demonstrated adequate bacground in computer science itself (GATE in CS/IT), or else with extensive experience in computing (for part-time students).

There are two different ways in which you can register for the M. Tech. programme in CSE at IITD: Full-Time : The candidate resides on the IIT campus for the entire duration of the programme. The student should have an excellent valid GATE score in CS/IT. Part-Time : The candidate should be working in an industry or organisation involved in computer science research/teaching and located within 50 kms of NCR. The organization should certify that it has No Objection to the candidate pursuing this degree.

Admission Procedure:

Download the application form from the IIT Delhi web-site or collect a paper application form from IIT Delhi, PGS&R Section. Fill the form and attach a draft for Rs 300 made payable to the "Registrar, IIT Delhi" at New Delhi. The forms are typically available around the beginning of March.

You may wish to also attach a curriculum vitae listing your academic record, Industrial/Research Experience, Research Publications (also include a copy of your best publication), academic honors and awards etc.

Send the application to the "Deputy Registrar, Post Graduate Section. IIT, Hauz Khas, New Delhi 110016". Interviews for admission are conducted once a year in May, and admissions are synchronized with the semester beginning late July.

After looking at your application we will decide whether to invite you for an interview. You will be informed of the decision by email. The interview will test your familiarity with basic concepts in Computer Science and your ability to analyze and formulate a solution to a problem. Part-time students may be given a written-test prior to the interview.

Semester-wise Distribution of Credits Typical credit distribution

Semester-wise Scheduling of Courses 1

Semester II

Semester III

Semester IV

• The schedule as presented is only indicative of how a typical student may register for courses, but allows considerable flexibility to the student in choice of when to register for programme and open electives.
• Select students who wish to conduct their project work outside Delhi, e.g. those in special academic exchange programmes, may, on approval, swap the Minor project with an OE/PE course usually taken in Semester III, and may also register for an additional OE/PE course in the Semester II. The Minor Project and Independent Study courses may be taken in the summer in these special cases.
• 600 level courses are not available to undergraduate and dual degree students.
• 600 level programme elective courses may be taken by students only on approval of M Tech coordinator, since these are courses typically in undergraduate curricula, which are made available to PG students who have not taken equivalent courses earlier.

The part-time programmes constitute an opportunity given to working professionals in the NCR area to pursue an advanced degree at IIT Delhi.

• Academically, the part-time programmes are identical to the full-time programmes.
• The normal duration of the Master's programmes is 6 semesters instead of 4, to complete the 60 credits of work.
• A part-time student can take no more than 12 credits a semester.
• There is only a small difference in the admission requirements (e.g., GATE is not mandatory, the academic performance requirements may be slightly different) and the admission test process may involve additional tests.
• The only other "concession" for the part-time student is that we will hold classes for core courses in the morning slots [C: 8-9 and D: 9-10 on Tue, Wed and Fri; and A: 8-9:30 and B: 9:30-11:00 on Mon, Thu]. Students should select elective courses on the basis of convenience and interest.

Yes, if you have the academic qualifications in terms of degree and academic performance as specified by the department (not just the minimal requirements specified by the institute). In addition, you need:

• At least one year's experience (by the start of the academic term, i.e July end or January 1) in an organization where your work is computer science related.
• You must be resident and working within 50 km of IIT Delhi.
• You should get a NOC from your employers at the time of joining in the format prescribed by IIT, and they must have consented in writing to your appearing for the interview.

No, GATE is required only for full-time students getting assistantship from the Institute.

Based on your application, you will be called for a test and interview. The written test is technical and objective, and will test your familiarity with basic computer science subjects --- programming, data structures, discrete mathematics and logic, programming languages and compilation, theory, algorithms design and analysis, operating systems and other systems software, networks, architecture, etc.

Normally 4 semesters for a full-time student and 6 semesters for a part-time student

Yes, of course, classes are conducted. These are conducted at the usual times on weekdays. You need to attend these classes, and be present. Part-time programmes are not remote programmes. The only other "concession" for the part-time student is that we will hold classes for core courses in the morning slots [C: 8-9 and D: 9-10 on Tue, Wed and Fri; and A: 8-9:30 and B: 9:30-11:00 on Mon, Thu]. Students should select elective courses on the basis of convenience and interest.

Yes. Approx a third of the M Tech credits are project credits; Two-thirds of the MS (Res) credits are project credits.

You can do your project at your work place or at home, but should archive and be able to demonstrate and document your work on the Department's machines.

Yes, if you are in the 50km range. Please note that if you change jobs during the programme, you should get a fresh NOIC from your new employer. Please note you need tobe employed to avail yourself of the part-time programme.

No, you are not eligible for hostel accommodation

No, you are not eligible for an assistantship from Institute sources.

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Send the application to the "Deputy Registrar, Post Graduate Section. IIT, Hauz Khas, New Delhi 110016". Please apply well before the end of March.

After looking at your application we will decide whether to offer you admission.You will be informed of the decision by email.

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Here are 30 public repositories matching this topic..., vatshayan / final-year-project-cryptographic-technique-for-communication-system.

Top B.tech/M.tech Final Year Project "Design and Analysis of Cryptographic Technique for Communication System" with Project Code, Report, PPT, Synopsis, IEEE Research Paper and HD Video Explanation

• Updated Dec 22, 2022
• Jupyter Notebook

Vatshayan / Final-Year-Blockchain-Voting-System

Blockchain based electronic voting system with Code, PPT, synopsis, Report, Research papers and full video explanation. Blockchain Final Year Project

• Updated Jan 20, 2023

Vatshayan / Face-recognition-Attendance-System-Project

Final Year Btech Face recognition Attendance System Project with code and Documents. Video Implementation with explanation too. Base IEEE paper Implementation

• Updated Aug 12, 2022

Vatshayan / Final-Year-Machine-Learning-Stock-Price-Prediction-Project

Final Year B.tech Project on Machine Learning Stock Prediction through Deep Learning

• Updated Aug 30, 2022

Vatshayan / Malware-Detection-Using-Deep-Learning-Project

Malware-Detection-System-Using-Deep-Learning-Project. Project Includes PPT. Code, Explanation Video and Documents

Vatshayan / Final-year-Project-steganography

Steganography is the technique of hiding secret data within an ordinary, non-secret, file or message in order to avoid detection; the secret data is then extracted at its destination.

• Updated Aug 14, 2022

Vatshayan / Network-Intrusion-Detection-Project

Network Intrusion Detection System Project using Machine Learning with code and Documents

Projects-Developer / Drowsiness-Detector-College-Project

Drowsiness Detector using Python. College Project with all Documents

• Updated Jan 31, 2022

Vatshayan / Steganography-Website-Project

Final Year Steganography Project with Code and Project report

Vatshayan / Blockchain-and-Cryptography-Communication-System

Final Year Blockchain Project for Security of communication. [Security of Communication Increase through Use of Combination of Cryptography and Blockchain technology]

Vatshayan / Spam-Detection-Project

Spam Detection Project for college students with PPT, Report, Code, Datasets and Research papers

Vatshayan / Heart-disease-prediction-system-Project

Heart disease prediction system Project using Machine Learning with Code and Report

Vatshayan / Stock-Price-Prediction-Project

Final year College Project with Project Report, PPT, Synopsis and Code

Projects-Developer / Heart-Diseases-Prediction-Project

Final Year Project Heart Disease Prediction Project with all Documents.

• Updated Jan 12, 2022

Vatshayan / Disease-Prediction-Project-using-Machine-Learning-Project

Diseases Prediction System though Machine Learning with code and documents

• Updated Dec 29, 2022

Vatshayan / Co2-Emission-Prediction-Using-Machine-Learning

Final year Co2 Emission Prediction Using Machine Learning Project with source code and documents. Btech Final Year Project

• Updated Feb 2, 2023

Vatshayan / Image-Recognition-Project

Beautiful Image recognition and Classification Project for final year college students.

• Updated Aug 25, 2021

Projects-Developer / AI-Chatbot-Final-Year-Project

AI chatbot used to communication with End user through online on platforms such websites and application. Btech college project.

• Updated May 4, 2022

Vatshayan / Decentrilized-Blockchain-Blog-System-Project

Decentrilized Blockchain Blog System Project with code and Documents

• Updated Apr 7, 2024

Vatshayan / Image-Chain-Blockchain-Project

Final Year ImageChain Blockchain Project is application of Blockchain. Project Include Code, Documents with Video Explanation

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• M.Tech Thesis In Computer Science

M.Tech Thesis In Computer Science gives a full fledged knowledge on all computer related concepts such as computer algorithm, communication via networking and all hardware and software components. Various issues on computer technology is solved through M.Tech computer projects any domain can be selected for doing project by M.Tech final year students. In their thesis a detailed analysis and definition of all mathematical algorithms, formulas and procedures can be mentioned thesis result is given by M.Tech students in the format of simulation. Some of the simulation tools that are needed are OPNET, OMNET++, NS2, NS3, and QUALNET, Cloud sim tool, weka and matlab.

M.Tech Thesis

Possible M.Tech Thesis In Computer Science

• Computer biology.
• Computer Architecture.
• Data base system.
• Programming languages.
• System and networking.

Computer biology:

Structure analysis, molecular dynamics gene networking and sequence analysis comes under computer biology. It analyzes and test, DNA, RNA and protein sequence. Many data mining applications are created for attaining useful information, features, patterns and structures from data base. In the process of computer biology classification many modes are used such as support vector machine, Bayesian network, clustering methods regression analysis, hidden markov model and sequence mining. DNA can recognize throw gene networking. M.Tech Thesis In Computer Science

Computer architecture:

A deep understanding of central processing units, peripheral and memory devices are needed for computer architecture thesis. It includes the knowledge of synchronous operation; hardware design of CPU, internal and external memory hardware component and arithmetic and logical operations with the help programming languages data storage and intercommunication is possible.

M.Tech Thesis in Computer Science

Data base system:

Data base model is defined using data manipulation and definition language many data issues such as data redundancy, inconsistency, difficult accessing data, integrity and security can be solved. These thesis can make the user stand out in a distinct way. These users are divided as three parts namely sophisticated, naïve and specialized user.

Programming languages:

C, C++, java and .net are some of the basic programming language that helps in the formation of any applications. PHP is a recently developed language of programming research on many programming languages will lead to the creation of user friendly application.

Robotics is an advanced artificial intelligence based system which allows the creation of various robots and its designing it is an interesting topic for M.Tech students to do their project. It allows automatic control of machines.

It is major domain for M.Tech final year projects on cloud computing , networking, multimedia and mobile computing are some domains which require security related projects. By giving passwords and verification code many software and user identities can be preserved.

System and networking:

Distributed system, wireless computing and operating system along with networking and wireless computing are domains for M.Tech thesis.

Future enhancement:

We offer projects with deep and profound analysis of various data sets including that of real world and synthetic data sets.M.Tech Thesis In Computer Science

Related Projects

• An efficient flow classification algorithm in Software-Defined Networking
• Ethanol: Software defined networking for 802.11 Wireless Networks
• Provisioning virtualized cloud services in IP/MPLS-over-EON Networks
• Workload-aware request routing in cloud data center using software-defined networking
• VIP: Joint traffic engineering and caching in Named Data Networks
• ICONA: Inter Cluster Onos Network application
• Design of a software-defined resilient virtualized networking environment
• Online virtual links resource allocation in Software-Defined Networks
• An Optimal Information Centric Networking Model for the Future Green Network
• Distributed network flow optimization algorithm with tie-set control based on coloring for SDN
• Exploiting information centric networking to build an attacker-controlled content delivery network
• SDN orchestration of OpenFlow and GMPLS flexi-grid networks with a stateful hierarchical PCE
• Caching in Named Data Networking for the wireless Internet of Things
• An Expressive Simulator for Dynamic Network Flows
• Centralized ARP proxy server over SDN controller to cut down ARP broadcast in large-scale data center networks
• Q-Nerve: Propagating signal of a damaged nerve using quantum networking
• A Survey of Green Information-Centric Networking: Research Issues and Challenges
• Design and Implementation of a Cloud-Federation Agent for Software Defined Networking
• Efficient anomaly detection and mitigation in software defined networking environment
• Toward a privacy model for social networking services

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List of M.Tech theses guided

Master's theses supervised in ieor.

• K. Geetha Bhargavi: Direct Despatch Opportunity Prediction and Order Fulfilment Models (2023)
• Himanshu Damani: Warehouse Operations Analysis (2023)
• Palkesh Bhidodiya: Congestion Metrics & Routing Techniques for Rail Freight Networks, (2023)
• Akshat Bansal: Crew Scheduling for Long-distance Passenger Railway Transportation (2022)
• Utkarsh V. Konge: Supply Chain Archetype Framework & Container Train Scheduling for Multi-terminal Port (2022)
• Abhijith P.Y. [with Santosh Noronha]: Deep Learning in Chemometrics (2022)
• Amit B. Gadekar: Hierarchical Forecasting Models (2022)
• Taposh Kumar Kapuria: [with Youssef Boulaksil] (2021)
• A. Tarun Raj: Demand Forecasting and Inventory Management of Automobile Spare Parts (2020)
• P. Sandeep Kumar: [as co-guide with S.SenGupta], Scheduling Freight Trains on a Mixed-Traffic Network to Minimise Energy Consumption (2020)
• Mohammad Mufassir Khan: [as co-guide with P.Balamurugan], Predictive Analytics in Healthcare Data (2020)
• P. Mallikarjuna Reddy: [as co-guide with Jayendran Venkateswaran], Demand Forecasting in tractor manufacturing industry (2020)
• Ratnesh Srivastava: [as co-guide with Jayendran Venkateswaran], Industrial Engineering application in Production unit (2020)
• Gaurav Amrutkar: [as co-guide with S.SenGupta]: Handling Categorical Features of High Cardinality in Tree/Rule-based Classification (2019)
• Saurav Adhikari: [as co-guide with S.SenGupta]: Dynamic Pricing Strategies in Indian Domestic Airlines (2019)
• Sourav Mondal: [as co-guide with S.SenGupta]: Runtime Estimation for Railway Timetabling (2019)
• Aayush Aggarwal: Robustness in Railway Timetables (2018)
• Anuj Sahu: Maintenance and Capacity Analysis of Railway Networks (2018)
• Anand Singh: (2018)
• Vipin Maurya: Analysing Railway Networks by Simulation and Parametric Modeling to Improve Freight Operations (2018)
• Harshit Gupta: Process Design and Improvements in a SME [with J. Venkateswaran] (2018)
• R. Vidyadhar: Simulation and critical Analysis of Railway Networks (2017)
• Vinay Rai: Data Analysis of Parameters Related to Kidney Transplant Procedures (2017)
• Rakesh Kumar Sharma: Managing Freight Traffic on Rail Networks : Analysis of Terminal Operations (2016)
• Abhijeet Kalpande: Failure Diagnostics and Predictive Analytics in Automotive Systems (2016)
• G. Sai Muni Teja: Fleet management in rail transport: Coal rakes in Indian Railways (2015)
• Naveed Farhan, Selection of Representative Configurations in Highly Customized Automobiles by Large Scale Optimization (2015)
• Shilpi Bhargava, Passenger Demand Forecasting and Dynamic Pricing to support Premium Trains on Indian Railways (2015)
• Vishal Rewari: Fleet management in rail transport: Petroleum rakes in Indian Railways (2014)
• Joydeep Ghosh: Co-integration in Time Series Analysis [with A. Subramanyam] (2014)
• Ruchir Santuka: Improved Formulations for Cutting Stock Problem with Set-up Cost [with Ashutosh Mahajan] (2014)
• Anoop Chatterjee, Priority based Task-level Scheduling in Multi-project, Multi-resource environments (2013)
• Keshav Kumar Singh: Modeling and Design of algorithms for rail operations and Capacity Planning (2013)
• Rohan Rao: Part Demand Prediction in Mass Customization Environment (2013)
• Rajesh Sharma: Pricing of assets in rail operations and third party logistics services (2013)
• Anoop Chaterjee: Priority based Task-level Scheduling in Multi-project, Multi-resource environments (2013)
• Priya Agrawal: Facility Design and Operational Strategies for Railway Networks (2012)
• Anand Rajak: Modelling and Computations in Multi Echelon Supply Chain network Design of FMCG Industry (2012)
• Sunil Kumar: Transfer pricing and transportation cost allocation in a global steel supply chain (2011)
• Pratik Fadadu: Network level Investments to Improve Rail Capacity (2011)
• Dileep Damayyawar: Inventory Planning and Management of Cold Storage Facility for Grapes (2011)
• Meghraj Nalge : Adaptive Traffic Control Methods with Downstream Detection System (2010)
• Rajat Choudhary : Vehicle Routing Problem : Application to Routing of Vehicles for Distributing Meals under Mid Day Meal Scheme (2010)
• Abhishek Singh Verma: Production Planning and scheduling in Automotive Paint Shops (2009)
• Tilak Raj Singh: Airline Crew Planning and Management (2008)
• Piyush Verma: Timetabling and Operations Planning in Railway Networks (2008)
• Manish Kumar Singh: Optimal Booking Strategies for a Shipper Dealing with a Monopolistics Logistics Carrier (2008)
• Amey Kamat : Optimization problems in sensor network design [with Mani Bhushan ] (2007)
• Deepika Taneja : Pricing for third party logistics service providers (2007)
• Sharad Kumar Shrivastava : scheduling problems using constraint satisfaction programming [with S.B. Patkar ] (2007)
• Vineet Kapoor : Demand sensing and its application in revenue management (2007)
• Braja Gopal Das : Applications of revenue management (2006)
• Chetan Desai : Supply chain strategies and inaccuracy modeling in RFID-enabled system  (2006)
• Nishant Patil : Winner determination in combinatorial auctions (2006)
• Rakesh Ambre : An event based simulation model for railway train scheduling (2006)
• Mitesh Gupta: Cost and Revenue based approach to new product introduction and product rationalisation (2005)
• Seema Ramteke : Preparation of train timetables (2005)
• Shivaji Dhekane : Management of perishable inventories with RFID technology (2005)
• P.Subramaniam : Vehicle Routing problems (2004)
• Ravindra Gokhale : Simulation studies on railway line capacity [with N.Hemachandra ] (2004)
• Vaishali Moharir : Optimal pricing and operating policies for competing modes of transport [with N.Hemachandra ] (2004)
• Mitali Johri : Railway Scheduling and capacity planning - A Simulation based approach (2003)
• Sudhir K. Sinha : Analysis of operating costs and pricing models on transport networks [with Milind Sohoni ] (2003)
• B.Raghuram : Rakelinking for suburban train services using constraint satisfaction [with M.Sohoni ] (2001)
• K.Chandrashekar : Policies for new product introduction and old product withdrawal [with N.Hemachandra ] (2001)
• Maj. S.Bahel : Maintenance management information system in army repair establishment (2000)
• Nitish Dave: A Decision support system for announcing sales promotion schemes in perishable supply chains using Markov decision processes [with N.Hemachandra ] (2000)
• Rahul J. Patil : Materials management practices in growing small scale industries: a supply chain management perspective [with Rahul Pandey ] (2000)
• Shrinivas Asanare : Suburban railway timetabling using CHIP (2000)
• Ashok Kumar: Scheduling of trains on railway sections [with P.G.Awate ] (1999)
• Chetan Ghatole : Spatial allocation of resources using geographical information system [with Rangan Banerjee ] (1999)
• Hemant Trivedi : Time tabling of rail services (1999)
• Shashi Bhusan Mani Tripathi : Application of BPR in supply chains - A case study [with A.S.Babu ] (1999)
• S.S.Nagaonkar : Modelling handovers and simulation based performance evaluation [with N.Hemachandra and A. Wolisz ] (1999)
• Maj. O.P.Yadav : Productivity measurement and improvement in army base workshops (1998)
• Alok Kumar: Systems for planning for material availability and control of production flows (JIT) [with P.G.Awate ] (1997)
• Chetan Soman : Supply chain management (1997)
• Mahesh Shenoy : Timetabling for suburban railways (1997)
• T.Ravi Kumar: Development of PDMS module in RDBMS framework [with A.S.Babu ] (1997)
• Vinayak Paranjape : Policies for closed loop control of loading items at a bottleneck facility in a refrigerator manufacturing plant [with P.G.Awate ] (1997)
• Erwin Paes : Robust techniques for combinatorial problems (1996)
• N.Patwardhan : Analysis of human aspects of TQM implementation (1996)
• Ashok Agarwal : Application of OR models in mail operations (1995)
• R.Agre : Multistage batch sizing with joint set up costs with application to steel industry [with P.G.Awate ] (1995)
• B.C.S.Krishnamohan : Capacity estimation and enhancement of transportation networks (1994)
• S.Venkatraman : Development of educational test package for single facility capacitated dynamic lot sizing [with P.G.Awate ] (1994)
• J.R.Suresh : Crew scheduling in urban bus transport (1993)
• George Paes : Multilevel programming - algorithms and applications (1992)

Master's theses supervised in Mechanical Engineering

• Lokesh Borkar: Generation and Analysis of Transportation Networks for Identification of Critical Links [with A.Tewari] (2018)
• Deepak Miglani: Simulation and Analysis of Mixed Traffic in Railway Junctions (2017)
• Ajinkya Deshpande: Planning for multi-modal transport operations in urban areas (2017)
• Ayush Agrawal: Optimization and Simulation of Railway Networks (2016)
• Abhirath Sharma: Managing empty rake operations in Western Railway Zone (2016)
• Krishna Agrawal: An analysis of train running data in suburban train operations (2016)
• Hussain Bharmal: Design and Operations of Indian Railways (2015)
• Mohit Uppal: Network Analysis of Semiconductor Global Production Network (2015)
• Shashank Dangayach: Technical Analysis of Suburban Railway Network (2014)
• Vipul Depal: Analysis of Safety in the Mumbai Rail System (2011)
• Tarun Mohan Mathur: Modeling Urban Taxi Networks (2010)
• Pulkit Jain: Capacity Analysis in Transport sectors (2009)
• Yogesh Jain: Forecasting Models for Travel demand (2009)
• Manik Bahadur: Optimization in Airline Operations and Planning (2008)
• Shailesh Lekhwani: Pricing and Revenue Management in Transport Sector and Logistics (2008)
• Akshay Saxena : Combinatorial optimization by probabilistic methods [with N.Hemachandra] (2007)
• Gaurav Singla : Bilevel Programming in Supply chain management (2007)
• Rasik N. Patel: Framework for 3D shape optimization and manufacturing of polished diamonds [with Milind Sohoni ] (2006)
• Kartik Raghupati : Procurement problems and combinatorial auctions [with N.Hemachandra ] (2005)
• Adesh Nath Rawal : Supply chain management for the textile sector (2004)
• B.N.Vishnu : A simulation model for operations management and capacity evaluation at railway stations (2003)
• Kamalesh K. Somani : Supply chain optimization: Agri supply chains, and Ant colony optimization models for VRP (2003)
• S.Rajagopal : Strategies for co- ordinating buyer-supplier interactions in electronic marketplaces, [with N.Hemachandra ] (2001)
• Prasad S. Phatak : Crew scheduling for bus transport, an implementation using column generation (1997)
• Rudra Kumar: Warehouse location problems (1997)
• K.Girish : Analysis of planned relayout for a motors plant (1996)
• Niraj Gupta: Multi-product integrated production-distribution system (1996)
• A.S.Bajwa : Cost effective and strategic relocation and design of main stores for switch board factory for Siemens Ltd, Kalwa (1995)

Master's theses guided in Electrical Engineering

• R.V.Satwik [with Madhu Belur]: Reinforcement Learning to Improve Railway Timetabling (2022)
• Darshit Jain [with Madhu Belur]: Suburban timetabling: modulo-simplex methods and optimization (2019)
• Vipin Shukla [with Madhu Belur] Railway junction simulator development (2019)
• Anurag Agrawal: Aperiodic Railway Timetable Optimization on a suburban rail network - Case study on Mumbai Harbour line [with Madhu Belur] (2018)

Master's theses guided in Computer Science and Engineering

• Peeyush Gupta: Signal Spacing and Capacity Improvement for Railways  [with Abhiram Ranade] (2013)
• Devendra Shelar: SketchRail, A Railway Network Configuration Editor [with Abhiram Ranade] (2012)
• S.Chandran : Suburban railway timetabling [with M.Sohoni ] (2003)
• Kedar S. Nadkarni : Competitive traffic modeling [with M.Sohoni ] (2002)

Master's thesis guided in Aerospace Engineering

• Tannishtha Sanyal: Optimization Studies related to Airline Maintenance Scheduling [with R.K.Pant] (2009)
• Ameya Behere: Air and High Speed Rail Transport: Competition and Integration [with R.P.Shimpi] (2016)

Master's theses guided in Mathematics

• Julie Shah: Optimal strategies for scheduling in a railway section (1997)
• Priya Mahadevan : Operationally feasible scheduling of trains on a rail network (1997)

Master of Management

Exploring Transformative MTech Project Topics in Computer Science for 2024

Embark on an enriching academic journey with our meticulously curated selection of MTech project topics in Computer Science for 2024. Aligned with trending IEEE base papers, this compilation serves as a guiding light for MTech enthusiasts seeking innovative projects accompanied by concise abstracts and associated base papers.

Table of Contents

Diverse Range in Cutting-edge Areas

Our selection spans a wide spectrum of cutting-edge areas within Computer Science, addressing the latest challenges and advancements in the field. Each project title is strategically chosen to align with the burgeoning trends in the industry while ensuring compliance with esteemed IEEE standards.

Frontiers of Technological Evolution

From machine learning algorithms and applications of artificial intelligence to network security and innovations in data science, these projects encapsulate the forefront of technological evolution. They represent the dynamic landscape and offer an opportunity to explore and contribute to the rapid advancements in Computer Science.

Gateway for Students, Researchers, and Professionals

Whether you’re a student, researcher, or industry professional, our collection provides an expansive gateway to delve into and contribute to the dynamic landscape of Computer Science. The accompanying abstracts offer a comprehensive glimpse into the project’s scope, methodologies, and potential impacts, empowering you to make informed decisions for your research journey.

Artificial Intelligence MTech Project Topics 2024

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Cloud Computing MTech Project Topics 2024

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Machine Learning MTech Project Topics 2024

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Computer Network MTech Project Topics 2024

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Internet Of Things (IoT) MTech Project Topics 2024

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Image Processing Based MTech Project Topics 2024

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Python Based MTech Project Topics 2024

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Java Based MTech Project Topics 2024

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Data Mining MTech Project Topics 2024

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Shivam Kashyap

Guidance for engineers: insights through stories, exploring the top 10 python projects 2024, you may also like.

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Master’s Thesis Defense

Thesis Committee Members: Dr. Guanglan Zhang (Advisor), Dr. Lou Chitkushev (first reader) and Dr. Derin Keskin (second reader)

Monday, May 13th, 2024 10:00am EST 1010 Commonwealth Ave, Room 122

For those unable to attend in person, the thesis defense will be available through Zoom – http://www.bu.edu/metit/edu-technology/zoom-web-conferencing/

Select “Computer Science” from the drop down menu.

As MHC binding is considered the most selective step in T cell recognition, many existing bioinformatics systems focus on modeling this step to predict MHC binders. However, modeling MHC binding alone is insufficient for accurate immunogenicity predictions, often resulting in false positives. With the recent technological advancements, large amounts of mass spectrometry (MS)-identified MHC class I ligands became available to the public, making it possible to incorporate information from antigen processing steps before MHC binding. We collected >5,000 binding peptides and >4,000 eluted ligands for H2-Dᵇ, and>5,000 binding peptides and >5,000 eluted ligands for H2-Kᵇ. The thermostability assessment of MHC peptide binding evaluates the strength and duration of the interaction between the peptide and the MHC molecule under varying temperatures. Our collaborators at the Dana-Farber Cancer Institute performed temperature gradient experiments to investigate the stability of peptide-MHC complexes for H2-Dᵇ and H2-Kᵇ alleles under three temperature conditions, 37°C, 50°C, and 70°C, using the MS technique.  We ended up with over 3,000 H2-Dᵇ binding peptides and over 5,000 H2-Kᵇ binding peptides. The data enable us to perform a comprehensive thermostability analysis of MHC binding.

In this thesis project, we developed a computational system for identifying T-cell epitopes in C57BL/6 mice by integrating relevant contributing factors, such as the antigen processing steps before MHC binding and thermostability, with the MHC binding predictions. Utilizing deep learning methods, we first trained and rigorously validated the binding prediction models using naturally eluted H2-Kᵇ and H2-Dᵇ ligands collected from public resources. Then, we built Thermostability models using proprietary data generated by our collaborators. We compared the performance of our models with that of NetMHCPan-4.1, an online prediction tool validated by many benchmark studies to be one of the most accurate predictors. Our integrated model, combining the binding and the Thermostability models, exhibited superior predictive capabilities using an external validation dataset, surpassing the overall performance of the NetMHCPan-4.1 model.  We consolidated the models into a user-friendly web-based application named PREDBL6 to facilitate accurate predictions of immunogenic peptides that stably bind H2b molecules and stimulate immune responses in C57BL/6 mice. To our knowledge, this is the first online T cell epitope prediction system that simulates MHC binding and considers other antigen processing steps and thermostability in a model organism.

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