Clickable word cloud describing CSE research areas. The relative relative word sizes represent the number of faculty working in each area. Photo credit: Christian Miller
The Department of Computer Science and Engineering conducts theoretical and applied research in AI, Theory and Algorithms, Software and Hardware Systems, and interdisciplinary areas related to CS+X such as Bioinformatics.
Focuses on the interplay between multiple elements of cyber technologies (such as sensing, computing, communications and control), and physical systems or processes (including infrastructures such as transportation and power) as well as human factors.
Focuses on efficient experimental and theoretical solutions to problems on state-of-the-art computational systems consisting of large numbers of computational elements, including clouds, clusters, grids, networks-of-workstations, massively parallel supercomputers, and GPU-based systems.
Focuses on developing highly efficient algorithms and techniques for a wide range of problems (such as automatic analysis of biomedical images, computer assisted diagnosis, treatment planning, protein-protein interaction network analysis, protein structure prediction, computational analysis and interpretation of Genomes, evolutionary studies of Genomic ORFans, and spatial positioning patterns of the cell nucleus) arising in smart hospital, smart healthcare, precision medicine, genomics, proteomics, and microarray analysis.
Mobile systems research focuses on the design and implementation of next-generation systems for mobile devices. Research topics include mobile data management, wireless networks, sensing systems, static analysis and instrumentation for mobile apps, mobile image and video analytics, and secure and low-power hardware for mobile devices.
Programming Language research focuses on type systems, program logics, language-based and differential privacy and security; language, compiler, and run-time design for reliable systems; static and dynamic analyses for real-time Android; run-time visualization and verification; adaptive memory management; language concepts for database programming; logic- and constraint-based systems.
Ken Regan develops algorithms that detect cheating in chess games. His software compares a player's moves to a database of the player's typical gameplay, then makes an assessment of the statistical likelihood of cheating. Dr. Regan frequently consults at international chess matches.
Karthik Dantu owns the vision component of the RoboBee Initiative, led by the National Science Foundation and Harvard University. The "eyes" that Dr. Dantu is integrating are laser-powered sensors that enable the mechanical bees to orient themselves in space.
An article on PhysOrg reports UB has received a $584,469 grant from the National Science Foundation to create a tool designed to work with the existing computing infrastructure to boost data transfer speeds by more than 10 times, and quotes Tevfik Kosar, associate professor of computer science.
Wenyao Xu created AutoDietary—software that tracks the unique sounds produced by food as people chew it. AutoDietary, placed near the throat by a necklace delivery system developed at China's Northeastern University, helps users measure their caloric intake.
Nine of the School of Engineering and Applied Sciences best and brightest teachers and researchers were among the 21 to receive the University at Buffalo’s 2020 Exceptional Scholar and Teaching Innovation Awards.
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.