Aditya Singh Rathore, a PhD student in computer science and engineering, received the best paper award at the Association for Computing Machinery’s International Conference on Mobile Systems, Applications and Services (MobiSys'20).


Jonathan Bessette, Fatak Borhani, Liam Christie and Dennis Fedorishin are among the 14 UB students to receive the prestigious SUNY Chancellor’s Award for Student Excellence, the highest honor SUNY bestows upon its student.


Six School of Engineering and Applied Sciences students are among seven from UB to receive NSF Graduate Research Fellowships. The fellowships — which provide students freedom and funding — are one of the most competitive for graduate students in the U.S.


School of Engineering and Applied Sciences faculty members Lora Cavuoto and Wenyao Xu are among this year’s winners of the President Emeritus and Mrs. Meyerson Award for Distinguished Undergraduate Teaching and Mentoring, the highest university award for undergraduate mentoring.

Fei Xu and Bhargava Urala Kota, both PhD students in the Department of Computer Science and Engineering and part of UB’s Center for Unified Biometrics and Sensors (CUBS), received Best Paper Awards at the 15 International Conference on Document Analysis and Recognition (ICDAR).
Seventeen faculty and staff from the School of Engineering and Applied Sciences are among those who were honored for notable achievement, service and teaching at UB's 16th annual Celebration of Faculty and Staff Academic Excellence.

This year, three faculty members in the Department of Computer Science and Engineering were recognized by the Institute of Electronics and Electrical Engineers (IEEE) Region 1 chapter for their technological innovation.


Three faculty and four staff members from the School of Engineering and Applied Sciences were among the 25 UB colleagues who have been named recipients of the 2019 SUNY Chancellor’s Award for Excellence, the most recipients from UB in recent history.

CSE Assistant Professor Jaric Zola’s award, entitled “Scalable Software and Algorithmic Infrastructure for Probabilistic Graphical Modeling,” seeks to simplify and improve how researchers and practitioners, especially in the biomedical domain, use advanced cyberinfrastructure for data analytics. The project aims to introduce a parallel framework of fundamental operations, like data management or scheduling of computations, to accelerate learning of probabilistic graphical models. By developing high-level and intuitive programming models, Zola aims to make high performance computing more accessible.
CSE Assistant Professor Shi Li’s project aims to leverage cutting-edge techniques in mathematical programming to advance our understanding of fundamental scheduling problems involving a set of dependent tasks over a collection of machines. Successful completion of the project, entitled “Approximate Scheduling Algorithms via Mathematical Relaxations,” will not only yield improved algorithms for fundamental scheduling problems, but will also enhance our understanding of advanced mathematical relaxation techniques.