phd in mathematics after engineering

Engineering & Computational Mathematics

Phd in engineering & computational mathematics.

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• Claremont Center for Mathematical Sciences

Whether you’re well into your engineering career or just beginning, the joint PhD in Engineering & Computational Mathematics broadens your understanding of the mathematical principles that underlie all engineering sub-disciplines and increases your professional value.

Program Highlights

Thanks to its flexible scheduling, this career-oriented program attracts students from well-known engineering and research firms, including Boeing, Northrup Grumman, and Raytheon.

With a joint degree from the CSULB/CGU program, you’ll be prepared to build a career in the growing fields of:

• Operations research
• Computer science
• Computational sciences
• Biomechanics
• Energy sustainability

Program Details

• Degree Requirements
• Mathematics Resources
• Mathematics Faculty

Program at a Glance

UNITS 72 units

ESTIMATED COMPLETION TIME 7 years maximum

LOCATION Claremont, CA | Long Beach, CA

COURSES BEGIN Fall | Spring

AFFLILIATE CSULB Engineering

DEGREE AWARDED PhD in Engineering & Computational Mathematics

Featured Courses

Examines network classifications and study of non-linear circuits; analysis of linear networks using topological and state-space techniques; and characterization of networks using scattering and other parameters.

Studies derivation of classical equations of applied math including quasilinear hyperbolic equations, Laplace, Poisson and Helmholtz equations, among others, in various orthogonal curvilinear coordinate systems.

Explores modeling and analysis, design of deterministic and stochastic systems, and the building blocks of engineering optimization models.

View All CGU Mathematics Courses

Degree Requirements A minimum of 72 units of course work, independent study, and research (including transfer credit) must be completed.

• Transfer credits of up to 24 units of related courses at the master’s level is permissible on approval of the program committee; this course work must have been completed with at least a grade of B or its equivalent at an accredited institution and must be directly related to the joint program and to the student’s PhD goals.
• Of the 72 units, a minimum of 24 units must normally be completed in the graduate engineering program at CSULB and a minimum of 24 in the graduate mathematics program at CGU. Both sets of 24 units must conform to the area requirements of the relevant institution and must be approved by the Program Committee.
• All degree requirements must be completed within seven years (or six with the transfer of 24 units according to CGU regulations) from the time a student begins graduate study.

Residency Requirement The residency requirements for the PhD degree may be met either by two semesters of full-time study in a 24-month period or by the completion of 48 units of course work within a 48-month period, including work in the summer session, on either or both campuses.

Research Tool A student in the joint PhD program must demonstrate proficiency in problem-solving ability using computer programs. This demonstration may take different forms depending on the student’s engineering sub-discipline, but it must include evidence that the student has used an appropriate computer language and an algorithmic method to solve a problem from an engineering discipline.

Preliminary Examinations The student is required to pass written preliminary examinations. These examinations consist of two examination areas: one in engineering and one in mathematics.

Research Preparation On completion of at least 48 units of course work (including transfer units) and completion of the preliminary examinations and research tool test, a student embarks on the research phase of the joint doctoral program. In preparation for the research phase, the student is expected to spend at least a semester in advanced graduate courses, seminars, or directed reading courses, where exposure to research material is emphasized.

Research Proposal and Qualifying Examination The student will define an area of proposed research and prepare a written dissertation proposal containing an outline of the research to be undertaken and references to relevant source materials. The dissertation proposal is presented to the doctoral committee at least two weeks prior to the qualifying examination. The qualifying examination is an oral presentation to the doctoral committee by the student describing the research planned. The student is expected to present evidence both as to the mathematical content and to the engineering application of the proposed research, supporting such evidence with references to previous research work in both areas.

Advancement to Candidacy After successful completion of the qualifying examination and certification that all other requirements are fulfilled, the student is advanced to candidacy.

Dissertation and Final Oral Examination On completion of the research, the student will prepare the Dissertation in accordance with CGU regulations. A final draft of the dissertation will be presented to each member of the doctoral committee at least three weeks prior to the final oral examination. The oral defense will be held on the campus of the dissertation supervisor.

Engineering & Computational Mathematics Clinic CGU’s internationally recognized Engineering & Computational Mathematics Clinic offers first-hand experience solving significant mathematical problems for industry and government clients.

Recent projects include:

• Optimizing Transmission of Renewable Energy–Southern California Edison
• Hardware-Software Codesign–Los Alamos National Laboratory
• Data Cohort Analysis–Fair Isaac
• Optimizing Smart Power Grids–Los Alamos National Laboratory
• Credit Risk in a Network Economy–Fitch Rating
• Isogeometric Analysis–Boeing
• Gate to Base Capacitance Modeling for Nanoscale MOSFETs–USC Information Sciences Institute
• Practical Semi-Analytic Model for the Substrate Current of Short Channel MOSFETs with LDDs–USC Information Sciences Institute

Claremont Center for the Mathematical Sciences Through the Claremont Center for the Mathematical Sciences (CCMS), you’ll have access to one of the largest mathematical science communities in California, as well as to workshops, conferences, and seminars, including:

• Southern California Analysis Seminar
• Math-in-Industry Workshop
• Michael E. Moody Lecture Series
• History and Philosophy of Mathematics Seminar
• Claremont Mathematics Weekend
• CCMS Software Lab

Professor of Mathematics Director, Institute of Mathematical Sciences

Research Interests

Probability, Statistics, Computing, Algorithms, Navigation, Systems Engineering, Mathematical Finance

Marina Chugunova

Ellis Cumberbatch Professor of Mathematics Program Director, PhD in Engineering & Computational Mathematics

Surfactant-driven thin film flows in biomedical applications; Nonlinear parabolic equations; Stability problems in fluid dynamics; Scientific computations; Applied operator theory; Sturm-Liouville problems

Hrushikesh Mhaskar

Research Professor of Mathematics

Approximation theory, Computational harmonic analysis, Machine learning, Signal processing

Professor of Mathematics

Fluid Dynamics, Mathematical Modeling, Scientific Computing

Andrew Nguyen

Adjunct Professor of Mathematics

Stochastic processes, Statistics, Risk management, Financial derivatives, Actuarial sciences, Statistical software

Research Associate Professor of Mathematics

Statistical inferences, Stochastic differential equations, Stochastic modeling, Simulation, Machine learning, Approximation theory, Graph theory

Allon Percus

Joseph H. Pengilly Professor of Mathematics

Discrete optimization; Network models; Statistical physics; Random combinatorial structures

Claudia Rangel-Escareño

Probabilistic methods in computational biology, Statistical inference of genetic networks, Bioinformatics

Henry Schellhorn

Professor of Mathematics Academic Director, Financial Engineering Program

Financial engineering, Credit risk, Stochastic analysis, Traffic models

Extended Faculty

In addition to CGU core faculty, you will have access to Math faculty across the Claremont Colleges, including Pomona, Scripps, Harvey Mudd, Claremont McKenna, Pitzer, and Keck Graduate Institute, as well as faculty who are part of the W.M. Keck integrated science department.

View Full Faculty List

Harvey Mudd View Math Faculty

Pomona View Math Faculty

Claremont McKenna View Math Faculty

Scripps View Math Faculty

Pitzer Bahar Acu David Bachman Jemma Lorenat

W.M. Keck Integrated Science Department (Claremont McKenna, Pitzer, Scripps) Adam Landsberg John Milton

Keck Graduate Institute Animesh Ray James Sterling

Where You Can Find Our Alumni

ReResearch Nanotechnology

RAND Corporation

Jet Propulsion Laboratory

Hess Corporation

New Jersey Institute of Technology

U.S. Patent & Trademark Office

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Academics   /   Graduate Study PhD in Applied Mathematics

The PhD program in applied mathematics is designed for students who want to pursue research in applied math at the highest level. The PhD program prepares students for independent research and emphasizes flexibility in adapting research areas to current opportunities. PhD students can obtain a master's degree after successful completion of the first year of the PhD program.

The applied mathematics faculty is involved in research that uses a variety of mathematical methods associated with asymptotic analysis, bifurcation theory, graph theory, scientific computing, ordinary and partial differential equations, probability and statistics, singular perturbations, stability theory, and stochastic processes.

These methods are employed in the investigation of problems arising in areas
 like biomechanics, combustion theory, complex networks, diffusion processes, fluid mechanics, geophysics, interfacial phenomena, materials science, molecular biology, neurobiology, reactor theory, solid mechanics, statistical mechanics, transport theory, and wave phenomena.

Learn more about the department's research areas

Curriculum Apply now

Request more Information

Download a PDF program guide about your program of interest and get in contact with our graduate admissions staff.

request info about PHD degree

Visit the Department

In early spring the department invites admitted PhD applicants to visit the department, usually for a departmental open house. For more information please see Addtional Information .

First-year PhD students are typically supported by university fellowships, which pay tuition costs and additionally provide a generous monthly stipend to cover living expenses. These fellowships carry no assigned duties, so students can direct all their efforts toward their studies.

After the first year, students are supported by research assistantships, teaching assistantships, or other special fellowships.

Career Paths

A degree in applied math opens the doors to many possibilities. Our graduates become professors at major research universities, teach at liberal arts colleges, get research positions in national labs and agencies, such as the NSA, and work in industry.

Graduates who want to get academic positions at major research universities typically have to do research as postdoctoral fellows first, usually for two or three years. Five graduates of our program have served as department chairs of their respective departments. These include the applied math department at the University of Washington (Nathan Kutz) and the math department at the University of British Columbia (Rachel Kuske). More detailed information about many PhD graduates can be found at Alumni .

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Contact Info

Department of Engineering Sciences and Applied Mathematics M c Cormick School of Engineering and Applied Science 2145 Sheridan Road, Room M426 Evanston, IL 60208 Phone: 847-491-3345 Fax: 847-491-2178 Email department

Request More Information

2023 Virtual Information Session

We will hold a virtual information session on Zoom for prospective graduate students on Wednesday, November 8, from 3 to 4 PM (Central Time).

Department of Mathematics

Requirements for the ph.d. degree.

In order to qualify for the Mathematics Ph.D., all students are required to:

• Complete eight term courses at the graduate level, at least two with Honors grades.
• Pass qualifying examinations on their general mathematical knowledge;
• Submit a dissertation prospectus;
• Participate in the instruction of undergraduates ;
• Be in residence for at least three years;
• Complete a dissertation that clearly advances understanding of the subject it considers.

All students must also complete any other  Graduate School of Arts and Sciences degree requirements  as they appear in the Programs and Policies bulletin.

The normal time for completion of the Ph.D. program is five to six years. Requirement (1) normally includes basic courses in algebra, analysis, and topology.  Students typically complete the eight-course requirement by the end of their third year.  The Honors grades of (1) must be achieved within the first two years.  A sequence of three qualifying examinations (algebra and number theory, real and complex analysis, topology) is offered each term.  All qualifying examinations must be passed by the end of the second year.  There is no limit to the number of times that students can take the exams, and so they are encouraged to take them as soon as possible.

The dissertation prospectus should be submitted during the third year. 

The thesis is expected to be independent work, done under the guidance of an adviser. This adviser should be contacted not long after the student passes the qualifying examinations. A student is admitted to candidacy after completing requirements (1)–(5) and obtaining an adviser.

In addition to all other requirements, students must successfully complete MATH 991a, Ethical Conduct of Research, prior to the end of their first year of study. This requirement must be met prior to registering for a second year of study.

Master’s Degrees :

The M.Phil. and M.S. degrees are conferred only en route to the Ph.D.; there is no separate master’s program in Mathematics.

M.Phil.   Please refer to the Graduate School Degree Requirements

M.S.   A student must complete six term courses with at least one Honors grade, perform adequately on the general qualifying examination, and be in residence at least one year.

Engineering Mathematics

• MSc by research

PhD, MSc by research Engineering Mathematics

Researchers in Engineering Mathematics carry out cutting-edge work in areas where mathematics is being applied to future challenges in engineering, industry and the life sciences. Through this area of study, fundamental theoretical and computational advances are made. There is also a strong tradition of interdisciplinary work, international collaboration and publication in leading research journals.

Research is supported by grants from public bodies, such as the Engineering and Physical Sciences Research Council, the Biotechnology and Biological Sciences Research Council, the Medical Research Council and the European Union, as well as from local government, national government and industry.

World-leading research

The University of Bristol is ranked fifth for research in the UK ( Times Higher Education ).

94% of our research assessed as world-leading or internationally excellent.

Entry requirements

PhD applicants must hold/achieve a minimum of a merit at master's degree level (or international equivalent) in a relevant discipline. Applicants without a master's qualification may be considered on an exceptional basis, provided they hold a first class undergraduate degree. Please note, acceptance will also depend on readiness to pursue a research degree.

MSc by Research applicants must hold/achieve a minimum of an upper second class honours degree (or international equivalent) in a relevant discipline and demonstrate readiness to pursue a research degree.

See international equivalent qualifications on the International Office website.

Read the programme admissions statement for important information on entry requirements, the application process and supporting documents required.

If English is not your first language, you will need to reach the requirements outlined in our  profile level E.

Further information about  English language requirements and profile levels .

Fees and funding

Fees are subject to an annual review. For programmes that last longer than one year, please budget for up to an 8% increase in fees each year.

More about tuition fees, living costs and financial support .

Alumni discount

University of Bristol students and graduates can benefit from a 25% reduction in tuition fees for postgraduate study.  Check your eligibility for an alumni discount.

Funding for 2024/25

A number of funded studentships are available each year, supported by research council, industry, University or other funds. View the faculty website for a list of currently available funded projects or visit jobs.ac.uk .

View information on funding postgraduate study for prospective UK, EU and international postgraduate students.

Self-funded or sponsored students are also very welcome to apply.

Further information on funding for prospective UK and international postgraduate students.

Career prospects

Our students follow a wide range of careers, such as mathematical modelling and simulation in engineering consultancies, government scientific civil service, the Met Office and the intelligence services.

Many graduates go on to work in quantitative finance and financial services more broadly and several have recently become entrepreneurs in the data analytics industry. Others follow traditional academic career paths in universities or in public- and private-sector research institutes.

Meet our supervisors

The following list shows potential supervisors for this programme. Visit their profiles for details of their research and expertise.

Research groups

Researchers in Engineering Mathematics contribute to projects across the University including artificial intelligence, machine learning, complexity, robotics, dynamics and control, environmental uncertainty, predictive life sciences, and neurosciences.

A list of available projects can be found on the Faculty PhD opportunities site.

Read more about Engineering Maths research groups .

How to apply

You need to contact a potential academic adviser to discuss available projects, and complete a  Supervisor Suitability Form (Office document, 71kB) , before submitting an application.

You can then apply using our online application system. For further information, please see the  guidance for how to apply  on our webpages.

For September 2024 entry: Overseas: 31st July 2024 Home: 12th August 2024

If you wish to apply for an alternative start date, please contact the admissions team directly.

Faculty of Engineering Postgraduate Research Admissions Team

Faculty of Engineering

School of Engineering Mathematics and Technology

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PhD after BTech

• Updated on  
• Apr 4, 2023

Pursuing a PhD after Btech is for those who have figured early out the answer to “ What to do after BTech? ”. A doctoral degree helps candidates discover advanced-level research opportunities after completing a Bachelor of Technology (BTech) program through the integrated or combined PhD route rather than completing a master’s degree and then applying for a doctoral program. Pursuing a PhD program, individuals can work under professors at universities and organisations that demand research scientists, and associates, amongst others for various projects. Here is a detailed guide on the various aspects of how you can pursue a PhD after BTech and delve deeper into the field of Research directly after graduation.

This Blog Includes:

Overview of combined/integrated master’s and phd, phd after btech: routes of applying, phd after btech: how to apply, background & gpa requirements, how to do phd after btech, phd after btech abroad, eligibility for phd after btech  , colleges offering phd after btech in india.

• What Next After BTech?
• Why MBA after BTech?

In many universities, professors encourage students to pursue research by providing them with necessary exploratory tools and techniques. Further, integrated MS/PhD degree programs are also offered by many academic institutions and these courses have a comprehensive research-oriented curriculum and are designed with flexible duration ranging from 3-6 years and even 10 years. The course also encourages practical experience through research assistantships, projects and fellowships. Increasingly popular in the US, this degree is now being steadily offered at institutions all across the globe. 

Also Read: Integrated PhD

Individuals looking to pursue a PhD after Btech can either follow the traditional application process or opt for direct faculty recommendations. While the former has been discussed below, the latter involves reaching to faculty members of a university department directly. Typically considered as an informal path, the method of direct recommendation can lead to an admission offer if the research interests align, the professor is impressed by your projects and is willing to recommend the candidate to the admissions department of a university. Many professors at elite institutions invite candidates through this method.

The process of applying for a PhD after a B.Tech, apart from the method of direct faculty recommendation, is a simple one. While a prior background and coursework in Physical Sciences, Natural Sciences, Mathematics or relevant Engineering branches is a must, relevant industry experience, research projects are undertaken and extra-curricular activities are also preferred. While many universities adhere to the above criteria of admission, a considerable number of institutions do not have any restrictions as to eligibility conditions whatsoever. It is advised that prospective students get in touch with Leverage Edu experts and know about the exact specifications and updated information about their chosen program and university.

Admission to most programs of PhD after BTech prescribe a strong background related to the specific intended field of study. Common requirements include familiarity with advanced mathematical concepts like algebra, calculus etc, economics, software proficiency, statistical tools amongst others. A strong score throughout all post-secondary qualifications is highly recommended. However, if you have a score belonging to less than the recommended section, you can compensate it by stating the activities you undertook, assistantships, projects completed, languages learnt during that time etc.

• International Tests like GRE/GMAT/TOEFL/IELTS etc. A huge majority of institutions as part of the application process for PhD after BTech either require or recommend submission of scores of various international tests such as GRE / GMAT / TOEFL / IELTS / PTE etc.
• Letters of Recommendation/Statement of Purpose/Resume These form an essential supplementary part of an application that elaborates the motivations and interests of candidates and how they are suitable for the program. Further, Letters of Recommendation / Statement of Purpose / Resume helps the admission committee in understanding what a candidate aims to achieve through the program they are applying for.
• Research Proposal (optional) In some universities, the application process comprises a research proposal to be submitted that outlines somewhat the specific area of research the applicant is intending to pursue while at the university. 

Also Read: PhD Entrance Exams

When it comes to finding a suitable answer for how to do a PHD after BTech, the most suitable solution to this is having a strong profile during and after your BTech course. It is vital for one to show adequate experience in research for a PhD that you can do by showcasing your published papers for certificates of seminars along with the extra projects that you have made during your BTech. You can align the topic of your final year project as per the topic of your PhD research. Make sure that the work you carry out under guidance corresponds to a letter of recommendation to you that will help you uplift your profile. 

The selection of major and minor subjects also help the students presenting their direct m application for PhD. Stating that your major subject of BTech course aligns with your research domain I will help you elevate your candidature. Since you will not be having a proper degree of masters, possessing peripheral knowledge or a stronghold over the concepts that are taught in the master’s program for the same will also work as an icing on the cake. Do not forget to thoroughly proofread your statement of purpose and make sure that it aligns the best with your future endeavours. 

There are many leading academic institutions and research universities across the world that offer a wide range of programs for those wanting to pursue a PhD after BTech or their bachelor’s degree completion. Here is a list of major global research universities providing plentiful PhD programs in Science and Technology-related fields and specialisations.

Note: The above-mentioned universities as well as the academic institutions in Germany, Denmark , Canada etc operate with flexible admission requirements. This implies that the relevant admissions committee evaluates a candidate’s suitability with the program requirements individually and this means that in some cases, applicants might be required to have attained their master’s degree. Especially with regards to applicants from India, though there is no compulsion, they must ensure the suitability of their qualifications with the stated eligibility requirements given on the university’s official website.

Also Read: PhD in Computer Science

PhD after BTech in India is also known as Direct PhD that one can pursue after completing their BTech course. Those who are clear about pursuing a career in research and academics, this is one of the best career options for them in India. Leading Indian institutes like IIT, IIM, IISc, etc offer this advantageous opportunity of pursuing PHD after BTech to the students having an exceptionally great academic background.  let us now take into consideration what all is required to become eligible for Direct PhD- 

• The average score in GATE exam or other equivalent national exams is mandatory for students belonging to Non-Centrally Funded Technical Institutes (CFTIs). Whereas those who belong to CFTI may not be required to present a score in GATE or any other national-level exam. 
• At least 8.0 CGPA out of 10.0
• Only the student studying in the final year of BTech/ BE can apply 
• Well written SOP 
• Letters of Recommendation 

Listed below are the popular universities in India from where you can pursue PhD after BTech-

• IIT Guwahati
• IIT Hyderabad
• IIT Kharagpur
• BITS Pilani
• Chandigarh University
• Lovely Professional University
• Lingaya’s Vidyapeeth
• Hindustan Institute of Technology and Science
• Awadhesh Pratap Singh University

Ans. Yes, you can pursue Ph.D. after Btech in India as well as abroad. 

Ans. When it comes to posing a direct Ph.D. after Btech from India or abroad it is not necessary to have a master’s degree. Students having an adequate amount of research experience along with an exceptionally great academic background can pursue a Ph.D. 

Ans. The basic eligibility criteria for Ph.D. after BTech is-  -A good GPA score  -Adequate experience in research  -A good academic background with charming scores in competitive entrance exams -Statement of Purpose and Letters of Recommendation

Ans. Completing a Ph.D. in India usually takes 3-5 years. 

Ans. No, GATE school is not mandatory for pursuing a Ph.D. in IIT f the candidate belongs to Centrally Funded Technical Institutes (CFTIs).

We hope that this blog helped you understand the key essentials of pursuing a Ph.D. after BTech. Further, while going for a doctoral program, it is important to choose the right specialization and the university. Take the help of Leverage Edu ‘ s AI tool to browse through a wide range of academic institutions across the globe offering Ph.D. programs and find the right one that suits your interests and career aspirations.

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I thought to do phD, iam B. Tech graduated E.C.E 5year old at2015.

Thank you for reaching out to us. Please call on this number- 1800572000, if you want to find out the procedure and universities available to you for PhD after B.Tech.

I have 16 years of IT Industry exp, i want to pursue PhD but i had done my B.Tech in CSE. plz guide.

Hey Naresh!

Please contact our experts through this number 1800572000 to solve all your queries! Thank you.

I completed my BE(CS) in 1999. I wish to do phd. I do not have work experience. Can I apply ?

Please connect with our experts on 1800 572 000 and get the right career guidance! Hope this helps

Please tell me about the universities and colleges in India for PhD after BTech without the gate exam

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RIT graduate pursues Ph.D. across time zones

Nastaran Nagshineh, center, defended her Ph.D. thesis at RIT in April. Faculty from RIT’s Rochester and Dubai campuses served on her thesis committee and include, from left to right, Kathleen Lamkin-Kennard, Steven Weinstein, Nathaniel Barlow, and David Kofke (a professor at the University at Buffalo). Mohamed Samaha participated remotely and appears on the video screen behind the group and alongside Nagshineh’s picture.

Nastaran Nagshineh is one of the first Ph.D. candidates to bridge RIT’s Rochester and Dubai campuses. Her accomplishment creates a path for future students at the university’s international campuses.

Nagshineh completed her Ph.D. in mathematical modeling while working full time as a mathematics lecturer at RIT Dubai in the United Arab Emirates, teaching as many as five classes a semester. She described her Ph.D. journey as “an exercise in perseverance” due to competing demands and long days. Rochester is eight hours behind Dubai, and the time difference meant many late-night classes and meetings.

“I saw this collaboration as an opportunity, rather than as a challenge, because my primary adviser, Dr. Steven Weinstein (RIT professor of chemical engineering), and my co-adviser, Dr. Mohamed Samaha (RIT Dubai associate professor of mechanical engineering), both have the same area of research interest,” she said. “They both worked toward my success.”

Nagshineh is one of 67 RIT Ph.D. students who defended their thesis this academic year and who will earn their doctorate. RIT awarded 63 Ph.D. degrees in 2023.

In 2020-2021, RIT’s Graduate School met and surpassed the university’s goal of conferring 50 Ph.D. degrees during an academic year. That number will continue to grow as students cycle through the seven new Ph.D. programs that RIT has added since 2017, said Diane Slusarski , dean of RIT’s Graduate School.

Meeting these goals puts RIT on a path toward achieving an “R1,” or research-intensive designation, from the Carnegie Classification of Institutions of Higher Learning. RIT is currently ranked as an R2 institution . Many factors go into changing a university’s status, including research investment and maintaining a three-year average of 70 Ph.D. degrees awarded per year, according to Slusarski.

“We have met the goals of the strategic plan, and now we look forward to contributing to the research innovation in the future,” Slusarski said. “We want to help the new programs thrive and win national research awards.”

RIT’s emphasis on high-level research is seen in Nagshineh’s Ph.D. work. She applies mathematical modeling to the field of fluid dynamics. Her research has been published in top-tier journals and has gained notice, said Weinstein, her thesis adviser.

Weinstein describes Nagshineh’s accomplishments as “a testament to a fantastic work ethic and commitment” and is inspirational to younger students at Rochester and Dubai.

“The collaboration between RIT Dubai/Rochester has continued,” he said. “Another paper was submitted a few weeks ago with Mohamed Samaha and Nate Barlow (RIT associate professor in the School of Mathematics and Statistics) as co-authors, as well as Cade Reinberger, a younger Ph.D. student in my research group.”

Mathematical modeling is one of RIT’s newer Ph.D. degree programs, and Nagshineh is among its earliest graduates. The program has doubled in size since it began accepting students in 2017, Slusarski said. This past fall, the mathematical modeling program had 35 students, with two graduating this year.

Altogether, RIT has 13 Ph.D. degree programs currently enrolling 438 students, with computing and information sciences accounting for the largest with 117 students. RIT’s other Ph.D. programs include astrophysical sciences and technology , biomedical and chemical engineering , business administration , color science , electrical and computer engineering, imaging science , mechanical and industrial engineering , microsystems engineering , and sustainability .

New programs in cognitive science and physics will launch in the fall.

The growth in RIT graduate education—with more than 3,000 master’s and doctoral students—reflects a demographic change in the student population, Slusarski said. “We have a higher percentage of women in the graduate programs than we have for RIT undergraduate programs.”

RIT’s graduate programs enroll 42 percent women, according to Christie Leone , assistant dean for the Graduate School.

Nagshineh, who also holds an MS in electrical engineering from RIT Dubai, welcomes her role as a mentor to other women students on both campuses.

“As a young woman in an Arabic country, the power of women is often underestimated and undervalued, and I hope to serve as a role model to female students, especially those that question their path,” Nagshineh said.

She plans to continue in her career as a professor and a researcher. “I would like to pursue a research program where I can advise my own students and teach them more deeply.”

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PhD Graduate Jordan Noronha: Making an impact through metamaterials research

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After graduating from RMIT with an Honours degree in Biomedical Engineering, and working in the industry for two years, Jordan decided to return to university to follow his passion for research.

Jordan decided to undertake research in lattice metamaterials, due to there being many global experts in the field accessible at RMIT.

“It’s also a young area that has only really existed for the past 20 years so I could have a tangible impact,” he said.

Jordan found his College and the Centre for Additive Manufacturing provided a strong support system that fostered community and positive discussion.  

This helped him to feel prepared for his milestone presentations throughout his PhD journey.

“My supervisors Professor Ma Qian, Professor Martin Leary, Dr Elizabeth Kyriakou and Professor Milan Brandt invested countless days and nights positively shaping my research and fostering my development,” he said.

“I am truly fortunate to have had such inspiring mentors, whether it was designing experiments, teaching me how to present at conferences (around the world) and write high-level publications, or providing me with opportunities like running RMIT’s additive manufacturing machines.”

After four years of working towards his PhD, Jordan said he feels amazing to finally be graduating this May. 

“As I consider graduating, the weight of years of hard work, dedication, and sacrifice runs through my mind,” he said.

I have a sense of pride in knowing that I've reached the pinnacle of academic achievement in my field, yet it's also a moment marked with nostalgia and reflection.

The road to graduation has not always been easy, as Jordan reflected, one challenge he faced from time management.

“As the success of your PhD is entirely dependent on you, it can often become an obsession,” he said. 

“To overcome this, I always made sure to ‘clock off’ on the weekends and maintain a healthy social life.”

When asked what he would say to any students considering undertaking a PhD at RMIT, Jordan stressed the importance of taking advantage of the RMIT community.

“The best advice I can give is to not try and do it all by yourself,” he said.

“RMIT encourages a community of researchers who are always accessible and open to discussion. 

“Many of these people not only share your passion for research but have also experienced the same challenges you may be facing, so don’t be afraid to reach out.”

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Acknowledgement of Country

RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business - Artwork 'Luwaytini' by Mark Cleaver, Palawa.

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UF graduate assistant helps engineering students learn hands-on

GAINESVILLE, Fla. (WCJB) - In this week’s Tech Tuesday, UF Innovate and SCAD Media speak with UF graduate assistant Alex Lacerna, who created a hands-on kit to help engineering students.

“Welcome back to another Tech Tuesday. I’m Bethany Gaffey with UF Innovate. And today I’ll be chatting with Alex Lacerna, graduate assistant at UF’s Mechanical and Aerospace Engineering department. He recently created a hands-on kit for students in the intro to engineering class. Thank you so much for joining us today, Alex. Could you tell us a little bit more about what you do here as a graduate assistant?” Gaffey asked.

“Of course,” Lacerna said. “For roughly six semesters, I was an educational assistant in the Mechanical Design III Senior Design Lab teaching that class, and now I’m a research assistant for the GatorKits Lab down the hall.”

“You’ve actually been working on a hands-on activity for some of the remote students in the intro class. Could you tell us more about that?” Gaffey asked.

“Absolutely. So here at the University of Florida, we have an introductory to engineering course for our intro students who think they want to do something in STEM or engineering but don’t necessarily know what they want to do,” Lacerna said. “For a long time that class was taught completely online during COVID and we wanted to give those students a hands-on component for that course. We’ve been developing a lab kit for them that contains a set of experiments, each of which represent an individual engineering major offered at the university.

“This is the mechatronic alligator as presented in the lab kit that we have designed in 3D, printed for the students. The lab that I’ll show you here is one of the most fun labs for the students in that we use the nature of alligators being cold-blooded, being attracted to light and heat sources to regulate their internal body temperature. And we give the students a light source that they can then use to move the gator’s head around and it will follow the heat source. And this in particular demonstrates electrical engineering for the students as it looks at triangulating a light position based on photoresistors.

“It was designed for the remote students but has shown such great successes that we’ve actually implemented it into the in-person students as well.”

“Thanks for tuning in to another episode of Tech Tuesday, Gaffey said. “For more information about UF engineering majors, you can visit them online or pop by in person, and we’ll see you next week.”

RELATED: Tech Tuesday: Gaming and Mobile Apps

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