phd computer science hong kong

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Research Postgraduate Programme

The Department attracts research postgraduate students from Hong Kong and around the world, setting the scene for a rich mix of intellectual stimulation and cross-cultural engagement in various areas of computing and information technology. Over 300 research students are currently studying towards either MPhil or PhD degrees, under the supervision of our faculty members who are well-experienced with research capabilities that cover a comprehensive spectrum of important areas. There are different multidisciplinary Research Groups in which our faculty members and research personnel are concentrating on producing impactful output.

Main research areas for PhD study

Artificial Intelligence and Big Data Computing

Blockchain and Cyber Security and Privacy

Graphics and Multimedia and Virtual Reality

Networking and Mobile Computing

Pattern Recognition and Natural Language Processing

Systems Modelling and Software Engineering

Excellent Remuneration Package

A scholarship for at least three years with an annual stipend of HK$221,640 and financial support to attend international top conferences for paper presentations.

Subject Syllabus

COMP6701 Advanced Topics in Computer Algorithms COMP6702 Advanced Topics in Computation Theory COMP6703 Advanced Topics in Data Analytics COMP6704 Advanced Topics in Optimization COMP6705 Advanced Topics in System Modeling and Evaluation COMP6706 Advanced Topics in Visual Computing COMP6707 Advanced Computational Intelligence COMP6708 Advanced Big Data Computing COMP6709 Advanced Natural Language Processing COMP6710 Advanced Machine Learning COMP6711 Advanced Artificial Intelligence of Things COMP6712 Advanced Security and Privacy

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What are you looking for?

Master of Philosophy in Computer Science and Engineering Doctor of Philosophy in Computer Science and Engineering

MPhil(CSE) PhD(CSE)

Both full- and part-time

MPhil Full-time: 2 years Part-time: 4 years

PhD Full-time: 3 years (with a relevant research master’s degree), 4 years (without a relevant research master’s degree)

Part-time: 6 years

Department of Computer Science and Engineering

PG Programs Coordinator: Prof Xiaojuan MA, Associate Professor of Computer Science and Engineering

http://www.cse.ust.hk/pg/

[email protected]

The Master of Philosophy (MPhil) Program seeks to strengthen students' knowledge in computer science and expose them to issues involved in the development, scientific, educational and commercial applications of computer systems. A candidate for an MPhil degree is expected to demonstrate knowledge in the discipline and to synthesize and create new knowledge, making a contribution to the field.

The Doctor of Philosophy (PhD) Program aims to develop the skills needed to identify research issues related to a practical application, to formulate an original research plan that addresses some of those issues, and to independently create a computing-related solution. A candidate for a PhD degree is expected to demonstrate mastery of knowledge in the chosen discipline and to synthesize and create new knowledge, making an original and substantial contribution to the discipline.

On successful completion of the MPhil program, graduates will be able to:

Demonstrate a general understanding of the field of computer science, and knowledge in one of the three major areas including systems, applications and theory;
Make a contribution to their specific field of study through either original research or substantial engineering efforts;
Communicate effectively and professionally both in writing and oral presentations using appropriate technical languages, and interpret their research or engineering outcome both to a specialist and a general audience clearly;
Follow the principles of ethics in their field and in academia; and
Demonstrate a mastery of skills and knowledge at a level required for college and university undergraduate teaching in computer science and assessment of student learning.

On successful completion of the PhD program, graduates will be able to:

Demonstrate a systematic understanding of the field of computer science, and wide knowledge across the three major areas including systems, applications and theory;
Make a contribution to their specific field of study through original research that extends the frontier of knowledge by developing a substantial body of work;
Communicate effectively and professionally both in writing and oral presentations using appropriate technical languages, publish research outcomes in peer-reviewed venues, and interpret their research outcome both to a specialist and a general audience clearly;
Set their own research agenda for the future, and to undertake a future career as an independent researcher in academia and industry;

The programs are offered by the Department of Computer Science and Engineering with the following research foci and state-of-the-art facilities, training students with the skillsets to make the useful applications in modern life.

Research Foci

Artificial Intelligence

Machine learning, data mining and pattern recognition, knowledge representation and reasoning, robotics and sensor-based activity recognition, multi-agent and game theory, and speech and language processing.

Cybersecurity

Security, privacy, and cryptography.

Data, Knowledge and Information Management

Large-scale data management, modeling and distribution encompassing web query processing, information retrieval and web search, data mining, enterprise systems, high-performance data management systems on modern computers, and database support for science applications.

Human-Computer Interaction

Augmented reality, multi-touch interaction, crowdsourcing, multimodal communication, affective computer, visual analytics of big data, intelligent interface for robots, e-learning, healthcare and e-commerce.

Networking and Computer Systems

Pervasive computing and sensor networks, peer-to-peer computing, grid computing, high-performance switches and routers, video delivery and multicasting, multimedia networking, MAC protocols for ad-hoc networks, web cache management, DDOS detection and defense, and resource management and allocation in optical networks.

Software Technology and Applications

Software engineering, data mining for software analysis and debugging, computer music, cryptography and security, internet computing.

Theoretical Computer Science

Design and analysis of algorithms, data structures, computational geometry, inform ory, cryptography, and database theory.

Vision and Graphics

Computer vision, computer graphics, medical image analysis, biometric systems, and video processing.

The Department has excellent facilities to support its programs and is committed to keeping its computing facilities up to date. There are about 700 workstations and PCs, including those in four teaching laboratories, three MS Windows Labs and one Linux lab. The Department also runs several research laboratories with specific facilities, including the computer engineering, database, Human-Computer Interaction Initiative, vision and graphics labs. Specialized project laboratories include:

The HCI lab, has a 120” rear projected 3D active stereo system, large-sized multi-touch panels, linked with various physiological sensors for gesture/ body tracking, and programmable interactive robots;

The Human Language Technology Center, with various corpora and a Linux cluster;

The System and Media Laboratory, partially funded by Deutsche Telekom, focusing mobile computing and any interesting topics related to social network, virtual reality and augmented reality; and

The Networking group that maintains different sets of network cluster interconnected with high speed optical connections for Data center and cloud computing research; and

Different research groups maintain their own CPU/ GPU cluster customized for different research need.

In addition, the Department manages a pool of Linux servers as CPU/ GPU cluster for general research projects demanding significant system resources, and acquires a GPU cluster for the whole University. The file servers are connected with one HDS VPS G200 and one HDS HUS110 Storage Area Network (SAN) system, with a total capacity of more than 150TB. There is also a pool of high performance servers with GPUs and interconnected with 10GbE switches dedicated for undergraduate courses on parallel computing, Big Data analysis and cloud computing. We also have a private cloud infrastructure for teaching and projects.

Minimum Credit Requirement

MPhil: 16 credits

PhD: 19 credits

Credit Transfer

For PhD students, credits transferred from programs completed in other universities will be considered on a case-by-case basis, subject to the approval of the departmental PG Committee. No UG courses can be used for credit transfer to the PhD program. Credits from no more than two PG courses can be transferred from outside the Department.

Required Courses

15 credits of postgraduate courses, of which at least 8 credits must be earned at HKUST. Courses used to satisfy the credit requirements must cover at least four established research areas of the Department.

18 credits of postgraduate courses, of which 12 credits (i.e. 4 courses) are required to be earned from PG core courses in different selected core research areas. A list of PG core courses and their affiliated areas is maintained by the Department. Students must complete two of the PG core courses in the first year of their PhD study, and all four PG core courses by the end of their second year of study. Students must obtain a B+ or above for all four PG core courses. Only one Independent Studies course may be used to satisfy the course requirements. No undergraduate course can be used to satisfy any of these PG course requirements.
PhD students must obtain a grade B or above in each of the following UG courses or equivalent, subject to the approval of the PG Coordinator. Credits earned from the following UG courses cannot be counted toward the degree requirements.
School Requirements on PhD Programs

In addition to the program requirements, all full-time and part-time PhD students are required to complete the school requirements, which aim to help students gain a wider exposure to multidisciplinary areas, and attain all-rounded learning by broadening their knowledge base.

PhD students are required to take at least a 3-credit course at 5000-level or above outside their programs offered by the School of Engineering. The 3 credits may be satisfied by courses from other Schools upon approval.

In some exceptional cases where students can provide sufficient justifications and obtain prior approval from their supervisors, PG Coordinators, and Heads of Department/Program Directors or designees, they are allowed to take the 3-credit course within their home departments/programs but the course must be in areas outside their specialty.

Details of the requirements are available on the website of the School of Engineering .

Professional Development Course Requirement

All full-time RPg students are required to complete PDEV 6800. The course is composed of a 10-hour training offered by the Center for Education Innovation (CEI), and session(s) of instructional delivery to be assigned by the respective departments. Upon satisfactory completion of the training conducted by CEI, MPhil students are required to give at least one 30-minute session of instructional delivery in front of a group of students for one term. PhD students are required to give at least one such session each in two different terms. The instructional delivery will be formally assessed.

Students are required to complete PDEV 6770. The 1 credit earned from PDEV 6770 cannot be counted toward the credit requirements.

PhD students who are HKUST MPhil graduates and have completed PDEV 6770 or other professional development courses offered by the University before may be exempted from taking PDEV 6770, subject to prior approval of the School.

Students are required to complete ENGG 6780. The 1 credit earned from ENGG 6780 cannot be counted toward the credit requirements.

PhD students who are HKUST MPhil graduates and have completed ENGG 6780 or other professional development courses offered by the University before may be exempted from taking ENGG 6780, subject to prior approval of the School.

English Language Requirement

Full-time RPg students are required to take an English Language Proficiency Assessment (ELPA) Speaking Test administered by the Center for Language Education before the start of their first term of study. Students whose ELPA Speaking Test score is below Level 4, or who failed to take the test in their first term of study, are required to take LANG 5000 until they pass the course by attaining at least Level 4 in the ELPA Speaking Test before graduation. The 1 credit earned from LANG 5000 cannot be counted toward the credit requirements.

Students are required to complete LANG 5001. Students can be exempted from taking LANG 5001 with the agreement of the Department Head and PG Coordinator. The 1 credit earned from LANG 5001 cannot be counted toward the credit requirements.

Postgraduate Seminars

MPhil/PhD: 1 credit

Students are required to complete COMP 6911 and COMP 6912 in two terms.

PhD Qualifying Examination

PhD students are required to pass a qualifying examination within the first 22 months after admission, with a maximum of two attempts. The qualifying examination consists of a comprehensive, written critical survey and review of the student's intended research focus, and a public oral examination.

Students are also required to submit a thesis proposal and defend it at a public oral examination, normally within one year after satisfying the qualifying examination requirement, with a maximum of two attempts. The second attempt must be completed within six months of the first attempt. The thesis proposal requirement must be completed before attempting the final thesis defense.

Thesis Research
Registration in COMP 6990; and
Presentation and oral defense of the MPhil thesis.
Registration in COMP 7990; and
Presentation and oral defense of the PhD thesis.

Last update: 25 March 2021

Energy Technology Concentration

In addition to the existing program requirements, students who opt for the Energy Technology concentration are required to:

Take one ENEG course.
Complete ENEG 6010 for one term.
Conduct research in energy area.
Scientific Computation Concentration

In addition to the existing program requirements, students who opt for the Scientific Computation concentration are required to:

MPhil: Complete a minimum of 7 credits from the following course lists. PhD: Complete a minimum of 10 credits from the following course lists. The credits earned under the concentration will be counted toward the total credit requirements of the programs. Core Courses MPhil: at least 3 credits PhD: at least 6 credits All students must take MATH 6915 and MATH 6916. Credits earned from MATH 6915 can be repeated for up to 2 credits.

Elective Courses

Conduct research in the area of scientific computation.

Last update: 29 August 2023

To qualify for admission, applicants must meet all of the following requirements. Admission is selective and meeting these minimum requirements does not guarantee admission.

Applicants seeking admission to a master's degree program should have obtained a bachelor’s degree from a recognized institution, or an approved equivalent qualification;

Applicants seeking admission to a doctoral degree program should have obtained a bachelor’s degree with a proven record of outstanding performance from a recognized institution; or presented evidence of satisfactory work at the postgraduate level on a full-time basis for at least one year, or on a part-time basis for at least two years.

Applicants have to fulfill English Language requirements with one of the following proficiency attainments:

TOEFL-iBT: 80*

TOEFL-pBT: 550

TOEFL-Revised paper-delivered test: 60 (total scores for Reading, Listening and Writing sections)

IELTS (Academic Module): Overall score: 6.5 and All sub-score: 5.5

* refers to the total score in one single attempt

Applicants are not required to present TOEFL or IELTS score if

their first language is English, or

they obtained the bachelor's degree (or equivalent) from an institution where the medium of instruction was English.

Home » MPhil – PhD in Computer Science and Engineering--> Home >> Academics >> MPhil – PhD in Computer Science and Engineering

Mphil – phd in computer science and engineering, programme objectives.

Our research programmes aim to educate researchers to embark on careers that would allow them to become world leaders in their fields, working as university professors, principal investigators in research institutes, senior managers in enterprises, or experts in other professions related to the pursuit and application of knowledge.

Learning Outcomes

The University expects doctoral degree graduates of research programmes to have acquired in-depth knowledge in a number of major areas of an academic discipline while maintaining a broad understanding of other related fields. Doctoral degree graduates should have accumulated enough educational experience and background learning to be capable of performing independent research to advance scholarship, with global standards. In particular, doctoral graduates should have the ability to identify research trends and opportunities, venture into new research areas when appropriate, define long-term research objectives, formulate original research problems, and originate and develop solution methodologies. Doctoral graduates should be capable of producing research output at a level that can either lead to publications in high-ranking scholastic venues, or to novel applications in relevant industrial, commercial, or other public sectors, or to other forms of useful knowledge transfer to society. They should have gained proficiency in techniques of knowledge dissemination through presentation and writing and some teaching experiences through student tutoring.

The University expects master’s degree graduates of research programmes to have acquired advanced knowledge in major areas of an academic discipline while maintaining a broad understanding of other related fields. Master’s degree graduates should have gained enough background knowledge to enable them to perform research with minimal supervision. In particular, they should have the ability to formulate individual research tasks and to develop solution methodologies under minimal supervision. Master’s degree graduates should be capable of producing original, innovative research output, some of which may lead to publication in well-respected scholastic venues. They should have gained proficiency in techniques of knowledge dissemination through presentation and writing.

For graduates of research programmes at both doctoral and master’s level, communication and language skills at a level appropriate to university graduates are expected already at the time of admission. In particular, fluent communication skills are expected in the language(s) essential to their research areas. In general, a high level of proficiency in English is expected as it is commonly regarded as the default international research language. Ability in a second language is encouraged.

Study Scheme

Entrance and English Proficiency Requirements

Applicants seeking admission to a research degree programme should satisfy the following minimum entrance requirements:

Master of Philosophy (MPhil)

hold a relevant bachelor's degree with first or second class honours (or equivalent qualification) from a recognised university.

Doctor of Philosophy (PhD)

hold a higher degree by research (or equivalent qualification) from a recognised university; or
be a current MPhil student in the University who is seeking transfer to PhD candidature; or
hold a taught Master's degree (or equivalent qualification) from a recognised university; or
hold a Bachelor's degree with first class honours (or equivalent qualification) from a recognised university.

Equivalent qualifications mentioned above include relevant professional qualifications or other scholarly achievements recognised by the University.

English Proficiency Requirements

Applicants from an institution where the language of teaching is not English should satisfy the minimum English proficiency requirements specified by both the University and individual Colleges and Schools. For details, please refer to the Admission Handbook for Research Degree Programmes.

Tuition Fee Information

The following are the prevailing tuition/ continuation fees for MPhil/PhD programmes. Please note that fees are subject to revision from time to time without prior notification, and any adjustments to fees will apply to both new and current students. Tuition/ Continuation Fees (normally adjusted in September every year)

For more details, please follow this link to the admission handbook.

Last Updated : 30 JUN 2015

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PhD in Electronic and Computer Engineering

The Doctor of Philosophy (PhD) program caters for students who wish to pursue a career in advanced industrial research and development, or university research and teaching. It emphasizes training in original thinking and independent research.

Adherence to the Curriculum

All postgraduate students must adhere to the curriculum of the year of entry throughout their program of study. Details of the degree requirements can be found in the Postgraduate Program & Course Catalog of the year of entry.

Course Requirements

PhD students are not allowed to use any undergraduate courses for postgraduate credit. The 15 credits must be earned from postgraduate courses.

Concentration

In addition to the program requirements specified above, students could opt for the Nanotechnology Concentration, Energy Technology Concentration and/or Scientific Computation Concentration. Details can be found in Postgraduate Program & Course Catalog.

Minimum Grade Requirement

The minimum grade-point average required to maintain satisfactory academic standing in the ECE Department is 2.850. The minimum grade required for each PG course is C. Courses failing to meet this requirement will not be counted toward the candidate's program and the student may be required to retake those courses. According to University regulations, a student cannot take a course more than twice.

Residency Requirements

Normally, a full-time research student is required to be on campus full-time and consequently in such geographical proximity as to be able to participate fully in University activities associated with the program. Residency provides the student with an opportunity to become immersed in the intellectual environment of the University. The residency required for a PhD degree is normally eight full-time semesters.

Procedural Matters

Each student should identify a permanent academic advisor (thesis supervisor) not later than the first semester after he/she is admitted into the program. The advisor will monitor the progress of the candidate, guide the candidate during research, and advise the candidate on academic matters.

PhD research is conducted under the general supervision of a thesis supervision committee of at least two members, one of whom is the thesis supervisor. When the thesis is ready for examination, an examination committee consisting of the chairman and five faculty members is formed, one of whom is the thesis supervisor. The thesis examination committee has the authority to recommend the conferment of the degree after the student has successfully passed the final thesis defense examination.

PhD Qualifying Examination

All PhD students, part-time or full-time, must take the qualifying examination during the third semester of PhD study and pass the examination within two years after admission, with a maximum of two attempts. The qualifying examination consists of a written proposal and an oral presentation. Students should select a topic among the six basic areas on which the ECE Department focuses on - IC Design, Microelectronic Device, Signal Processing, Communications and Networking, Optics and Photonics, Robotics and Control. The examination format may be subject to revision by the Department as deemed necessary. The student will acquire the PhD Candidate status after passing the PhD qualifying examination.

PhD Thesis Proposal

After passing the PhD qualifying examination, the student should become deeply involved in the research program of the department. When the student feels ready to propose his/her thesis research, he/she can inform the Department Head of his/her intention to do the Thesis Proposal. The Thesis Proposal consists of two parts: (1) a written proposal and (2) an oral presentation by the student. A PhD student must pass the thesis proposal before having the Final Thesis Defense.

PhD Final Thesis Defense

Six months after passing the Thesis Proposal, the student can schedule the Final Thesis Defense The Final Thesis Defense is administered by a larger examination committee consisting of five members: the thesis supervisor, two academic staff members within the department, one academic staff member from outside the department, and one examiner external to the HKUST who has expertise in the field being examined. The committee is chaired by an individual from outside the student’s major department, who is appointed by the Dean.

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School of Engineering

Postgraduate Student Early Recruiting (Fall 2025 Intake)

Registration for CSE PG Early Application

The Department of Computer Science and Engineering (CSE) of the Hong Kong University of Science and Technology (HKUST) is recruiting MPhil and PhD students to start in Fall 2025. We are looking for outstanding undergraduate students as well as graduate students with a Master's degree in Computer Science and related areas.

According to the latest QS World University Rankings , CSE department is ranked 1st in Hong Kong in the Subject of Computer Science and Information Systems . Our department has produced pioneering work in several areas, including but not limited to, artificial intelligence, cybersecurity, data and knowledge management, human-computer interaction, networking and computer systems, software engineering and programming languages, theoretical computer science, and vision and graphics.

Our department consists of over 50 faculty members, about 80 MPhil students and 400 PhD students. The MPhil study takes two years, and the PhD study four to five years. Many of our postgraduate alumni work at major IT companies such as Baidu, Facebook, Google, Huawei, IBM, Microsoft, and Tencent, and a significant number of our PhD graduates pursue their careers at research institutes and universities all over the world. If interested, please check out the departmental web page on where do our PhD graduates go .

Postgraduate students have sufficient scholarship support during their study at HKUST. The amount of scholarship is around HKD220,320 (USD28,200) per person per year. The annual tuition of a postgraduate student is HKD42,100 (USD5,300).

Furthermore, the Hong Kong government selects incoming PhD students to award the prestigious Hong Kong PhD Fellowship (HKPF) each year. The amount of the HKPF is around HKD27,600 per month, plus a travel allowance of HKD13,800 each year. In addition, HKUST gives each awardee a one-time reward of HKD40,000. In the past, our department was awarded 8 to 12 HKPFs every year.

Our postgraduate admissions require applicants to have good academic records in their areas of study and to have obtained a Bachelor's degree by the time of their HKUST enrollment. Applicants also need to satisfy the University's English Language Requirements .

We recruit postgraduate students in two phases. The first phase is early recruiting, targeted at excellent MPhil and PhD applicants through short interviews. To apply, you can fill out the preliminary application form at the departmental early recruiting website. We will process these online applications and shortlist candidates to invite for online or in-person interviews. This year, the early admission interviews will start in September 2024. Applicants will be notified their interview results one to two weeks after their interviews.

After the early recruiting phase, applicants can still send regular application packages to the HKUST Postgraduate Admissions .

Finally, we encourage exceptional PhD applicants (top 10% in class, average grade higher than 85/100, excellent English) to contact us to inquire about the HKPF applications. Please find relevant information at the HKUST's HKPFS webpage .

Q1. When and where is the interview?

This year's interviews are scheduled as follows:

Zoom meeting #1 (Sep 12, 2020) for mainland students.
Zoom meeting #2 (Sep 19, 2020) for mainland students.
Zoom meeting #3 (Sep 26, 2020) for Korean students.

If you are shortlisted, you will be notified by email inviting you to one of the interviews.

To be announced.

Q1. I have not taken the TOEFL/IELTS yet. Can I still apply in this early recruitment session?

Yes, you are eligible to apply. However, if you are admitted, you will need to meet the University's English Language Requirements before enrollment.

Q2. When is the deadline for early admission application?

The deadline for early admission application is Aug 24, 2024.

Q3. When will I get the offer?

The first batch of offers will be sent around late Sep / early Oct, and thereafter, offers will continue to be sent out as soon as decisions are made, typically with the support from a prospective advisor. Offers will also be made to exceptional applicants on an ongoing basis, with some early offers being issued to exceptional students on an individual basis over the summer.

Q4. I have not received an offer in the first batch, should I contact individual faculty members?

Mass emails to the faculty are unlikely to be effective (they receive many such emails). All your application materials will be made available to the faculty, so there is no need to send them again. Thus, if you would like to contact individual faculty members, please try to differentiate your email from hundreds of others: Why are you interested in his/her research? What qualities of yours make you a good student of his/hers? If you have read one of his/her papers, do you have some comments and further ideas?

MPhil and PhD Degrees

General information.

to complete an approved programme of supervised research;
to present a written thesis which demonstrates an advanced level of knowledge and understanding in the candidate's field of study which describes and summarizes the research undertakings and findings;
to satisfy the Board of Examiners in an oral examination, (and any other examination if deemed necessary), on matters relevant to the subject of the thesis;
to comply with supervision, attendance and all coursework requirements as laid down by the Faculty of Science and the Department of Computer Science; and
to satisfy the University-wide graduation requirements.
supervised original research work culminating in the submission of a thesis;
coursework as required by the Department of Computer Science, as well as the Faculty of Science ;
mandatory research seminars and mandatory course(s) on research methodology;
active participation in lectures, study groups, workshops, seminars, colloquia and conferences as directed by the supervisor(s);
any other courses needed to make up for the candidate’s deficiencies as required by the supervisor(s) and the University; and
the Mandatory Common Core Programme, which shall be completed satisfactorily before the arrangement of confirmation of candidature. The following are also mandatory for students undertaking the 4-year PhD Programme:
3-6 months overseas learning experience;
oral/poster presentation at a reputable international conference, workshop or exhibition;
publications as required by the Faculty; and
any other discipline-specific requirements.

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Professor(s) / Associate Professor(s) / Assistant Professor(s) in Consumer Behaviours

Professor in consumer behaviours. Job Requirements Applicants should have (i) a PhD in Marketing, Psychology, Behavioural Science or other related fields; (ii) a strong and active research profile in

Professor(s) / Associate Professor(s), Department of Management

24 May 2024 Job Information Organisation/Company CHINESE UNIVERSITY OF HONG KONG Research Field Management sciences Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Country

Professor / Associate Professor / Assistant Professor in Mathematics (Big Data)

Mathematics, Statistics, Computer Science or related field with research interests in the aforementioned area. ABDs with anticipate completion by July 2024 are encouraged to apply. Ideally candidates should

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City University of Hong Kong (CityUHK) would like to make an announcement regarding our Joint PhD programmes with mainland universities.

There will be no change for admissions to the Joint PhD programmes with mainland universities for the Academic Year 2024/25 intake. The criteria for admission and funding arrangements for the Joint PhD programmes will be the same this year as in previous years.

Changes for CityUHK Joint PhD programmes with mainland universities will be implemented for PhD admissions from the Academic Year 2025/26 intake onwards.

28 May 2024

MyU : For Students, Faculty, and Staff

Clone of CSE welcomes 25 new faculty in 2023-24

Birds-eye view of the UMN Twin Cities campus, with the Minneapolis skyline.

STEM experts from across the world join the University of Minnesota

The University of Minnesota College of Science and Engineering (CSE) welcomes 25 faculty members this 2023-24 academic year—on its way to achieving its goal to hire 60 faculty in three years.

The expertise of this new group of CSE researchers and educators is broad. They range in areas such as hybrid intelligence systems, the reconstruction of past environments and climates, electric machines and magnetic levitation, reinforced concrete structures, and mathematical models to predict the electronic properties of novel materials.

Meet our new science and engineering faculty:

Rene Boiteau is an assistant professor of chemistry. He joins Minnesota from Oregon State University, where he held a joint faculty appointment in the Pacific Northwest National Laboratory. Boiteau earned a bachelor’s in chemistry at Northwestern University, a master’s in earth sciences at University of Cambridge, and a Ph.D. in chemical oceanography at Massachusetts Institute of Technology and Woods Hole Oceanographic Institution. Much of his work is focused on developing analytical chemical approaches, especially mass spectrometry.

Zhu-Tian Chen is an assistant professor of computer science and engineering. He received his bachelor’s in software engineering from South China University of Technology and Ph.D. in computer science from Hong Kong University of Science and Technology. Prior to Minnesota, Chen served as a postdoctoral fellow at Harvard University and postdoctoral researcher at the University of California San Diego. His recent work focuses on enhancing human-data and human-AI interactions in both AR/VR environments—with applications in sports, data journalism, education, biomedical, and architecture.

Gregory “Greg” Handy is an assistant professor of mathematics . He comes to Minnesota from the University of Chicago, where he was a postdoctoral scholar in the Departments of Neurobiology and Statistics. As an applied mathematician and theoretical biologist, Handy’s research strives to use biological applications as inspiration to create new mathematical techniques, and to combine these techniques with classical approaches to examine the mechanisms driving biological processes. This fall, he is teaching Math 2142: Elementary Linear Algebra.

Jessica Hoover is a professor of chemistry. She joins the University of Minnesota from West Virginia University, where she has been a faculty member since 2012. Hoover’s interest in catalysis has been the focus of her work since her undergraduate studies. She graduated with a bachelor’s from Harvey Mudd College before arriving at the University of Washington to pursue her Ph.D. She was a postdoctoral researcher at the University of Wisconsin, Madison.

Harman Kaur is an assistant professor of computer science and engineering—and a University of Minnesota alumna (2016 bachelor’s in computer science). Her research areas are human-centered artificial intelligence, explainability and interpretability, and hybrid intelligence systems. She is affiliated with the GroupLens Research Lab, a group of faculty and students in her department that’s focused on human computing interaction. Prior to Minnesota, Kaur served as a graduate researcher in the interactive Systems Lab and comp.social Lab at the University of Michigan, where she received both her master’s and Ph.D.

Yulong Lu is an assistant professor of mathematics. He joins the faculty from University of Massachusetts, Amherst. Lu received his Ph.D. in mathematics and statistics at the University of Warwick. His research lies at the intersection of applied and computational mathematics, statistics, and data sciences. His recent work is focused on the mathematical aspects of deep learning. This fall, Lu is teaching Math 2573H: Honors Calculus III to undergraduates and Math 8600: Topics in Applied Mathematics, Theory of Deep Learning to graduate students.

Ben Margalit is an assistant professor of physics and astronomy. As a theoretical astrophysicist, he studies the fundamental physics of star explosions, collisions and other examples of intergalactic violence such as a black hole passing near a galaxy and “shredding it to spaghetti.” As part of his job, Margalit works closely with observational astronomers in selecting the kinds of places to look for transient events. He holds bachelor’s and master’s degrees from the Hebrew University of Jerusalem, and a Ph.D. from Columbia University.

Maru Sarazola is an assistant professor of mathematics. She joins Minnesota from Johns Hopkins University, where she was a J.J. Sylvester Assistant Professor. Sarazola received her Ph.D. from Cornell University. Her research is focused on algebraic topology—specifically, her interest lies in homotopy theory (a field that studies and classifies objects up to different notions of "sameness") and category theory (“the math of math,” which looks to abstract all structures to study their behavior). This fall, she is teaching Math 5285H: Honors Algebra I.

Eric Severson is an associate professor of mechanical engineering—and University of Minnesota alumnus (2008 bachelor’s and 2015 Ph.D. in electrical engineering). He returns to his alma mater after being on the University of Wisconsin-Madison faculty for six years. Severson leads research in electric machines and magnetic levitation, with a renewed focus in addressing grand challenges in energy and sustainability through multidisciplinary collaborations. His interests include extreme efficiency, bearingless machines, flywheel energy storage, and electric power grid technology.

Kelsey Stoerzinger is an associate professor of chemical engineering and materials science. She was on the faculty at Oregon State University, with a joint appointment in the Pacific Northwest National Laboratory. She studies the electrochemical transformation of molecules into fuels, chemical feedstocks, and recovered resources. Her research lab designs materials and processes for the storage of renewable electricity. Stoerzinger holds a bachelor’s from Northwestern University, master’s from University of Cambridge, and Ph.D. from MIT.

Lynn Walker is a professor—and the L.E. Scriven Chair in the Department of Chemical Engineering and Materials Science. Previously, she was on the faculty at Carnegie Mellon University. Her research focuses on developing the tools and fundamental understanding necessary to efficiently process soft materials and complex fluids. This expertise is being used to develop systematic approaches to incorporate sustainable feedstocks in consumer products. Walker holds a bachelor’s from the University of New Hampshire and Ph.D. from the University of Delaware. She was a postdoctoral researcher at Katholieke Universiteit Leuven in Belgium.

Alexander “Alex” Watson is an assistant professor of mathematics—and former University of Minnesota postdoctoral researcher in the School of Mathematics. Watson earned his Ph.D. at Columbia University. He works on mathematical models used to predict the electronic properties of materials, especially novel 2D materials such as graphene and twisted multilayer “moiré materials.” In summer 2022 and 2023, he presented at the U’s MathCEP Talented Youth Mathematics Program on topics related to materials research at the University of Minnesota.

Anna Weigandt is an assistant professor of mathematics. She comes to Minnesota from the Massachusetts Institute of Technology, where she was an instructor. Weigandt completed her Ph.D. at the University of Illinois, and she was a postdoctoral assistant professor in the Center for Inquiry Based Learning at University of Michigan. She works in algebraic combinatorics, specifically Schubert calculus. This fall 2023, she is teaching Math 5705: Enumerative Combinatorics.

Michael Wilking is a professor of physics—and University of Minnesota alumnus (2001 bachelor’s in chemical engineering). He holds a master’s and Ph.D. from the University of Colorado. Prior to his return to the Twin Cities campus, Wilking served on the faculty at Stony Brook University. He completed his post-doc at TRIUMF, Canada's national particle accelerator center. Wilking was part of the Stony Brook research team honored with the 2016 Breakthrough Prize in Fundamental Physics.

Benjamin "Ben" Worsfold is an assistant professor of civil engineering —and a licensed professional engineer in both California and Costa Rica. His research interest lies in large-scale structural testing, finite element analysis of reinforced concrete structures, and anchoring to concrete. Worsfold earned his master’s and Ph.D. from the University of California, Berkeley, and bachelor’s from the University of Costa Rica.

Yogatheesan Varatharajah is an assistant professor of computer science and engineering —and a visiting scientist in neurology at the Mayo Clinic. His research lies broadly in machine learning for health. Varatharajah earned his master’s and Ph.D. from the University of Illinois Urbana-Champaign. Prior to Minnesota, he was a research assistant professor of bioengineering at the University of Illinois and faculty affiliate for the Center for Artificial Intelligence Innovation with the National Center for Supercomputing Applications.

Starting in January 2024:

Emily Beverly is an incoming assistant professor of earth sciences. Prior to joining the University of Minnesota, she was on the faculty at University of Houston. She earned a bachelor’s from Trinity University, a master’s from Rutgers University, and a Ph.D. from Baylor University. Beverly was a postdoctoral researcher at Georgia State University and University of Michigan. Her research focuses on understanding environmental drivers of human and hominin evolution. Beverly uses stable isotopes and geochemistry to answer questions about past and future climates with a firm foundation in sedimentary geology and earth surface processes.

Alexander “Alex” Grenning is an assistant professor of chemistry. He comes to Minnesota from the University of Florida, where he was a tenured faculty. Grenning earned a bachelor’s in chemistry and music from Lake Forest College, and a Ph.D. in organic chemistry from the University of Kansas. He was a postdoctoral researcher at Boston University. His work is focused on chemical synthesis and drug discovery.

Yu Cao is an incoming professor of electrical and computer engineering. Prior to Minnesota, Cao was a professor at Arizona State University. He holds a bachelor’s in physics from Peking University and a master’s in biophysics plus a Ph.D. in electrical engineering and computer sciences from the University of California-Berkeley. His research includes neural-inspired computing, hardware design for on-chip learning, and reliable integration of nanoelectronics. Cao served as associate editor of the Institute of Electrical and Electronics Engineers’s monthly Transactions on CAD .

Edgar Peña is an incoming assistant professor of biomedical engineering—and a University of Minnesota alumnus (2017 Ph.D. in biomedical engineering). He is a neuromodulation scholar who is interested in vagus nerve stimulation. Peña earned his bachelor’s degrees in electrical engineering and biomedical engineering from the University of California, Irvine. During his doctoral studies at the University of Minnesota Twin Cities, he used computational models to optimize deep brain stimulation.

Seongjin Choi is an incoming assistant professor of civil engineering. He received his bachelor’s, master’s, and Ph.D. from the Korea Advanced Institute of Science and Technology. He was a postdoctoral researcher at McGill University. His work involves using data analytics to draw valuable insights from urban mobility data and applying cutting-edge AI technologies in the field of transportation.

Pedram Mortazavi is an incoming assistant professor of civil engineering— and a licensed structural engineer in Canada . His interests lie in structural resilience, steel structures, large-scale testing, development of damping and isolation systems, advanced simulation methods, and hybrid simulation. Mortazavi holds a bachelor’s from the University of Science and Culture in Iran, a master’s from Carleton University in Ottawa, and Ph.D. from the University of Toronto.

Gang Qiu is an incoming assistant professor of electrical and computer engineering. He received his bachelor’s degree from Peking University in microelectronics and his Ph.D. in electrical and computer engineering from Purdue University. (He is currently a postdoctoral researcher at the University of California, Los Angeles.) Qiu’s research focuses on novel low-dimensional materials for advanced electronics and quantum applications. His current interest includes employing topological materials for topological quantum computing.

Qianwen Wang is an incoming assistant professor of computer science and engineering. She received her bachelor’s from Xi’an Jiao Tong University and her Ph.D. from Hong Kong University of Science and Technology. Prior to Minnesota, Wang served as a post-doctoral researcher at Harvard University in the Department of Biomedical Informatics. As a visualization researcher, she created interactive visualization tools that enable humans to better interpret AI and generate insights from their data.

Katie (Yang) Zhao is an incoming assistant professor of electrical and computer engineering. Her research interest resides in the intersection between Domain-Specific Acceleration Chip and Computer Architecture. In particular, her work centers around enabling AI-powered intelligent functionalities on resource-constrained edge devices. Zhao received her bachelor’s and master’s from Fudan University, China, and Ph.D. from Rice University. (She is currently a postdoctoral researcher at Georgia Institute of Technology.)

Learn more about our goal to hire 60 new faculty in three years at the CSE recruiting website .

If you’d like to support faculty research in the University of Minnesota College of Science and Engineering, visit our CSE Giving website .

Join our winning team

Our unique combination of science and engineering within one college in a vibrant, metropolitan area means more opportunities for you. Learn about faculty openings.