Our research spans artificial intelligence, systems, and theory,
and it is well funded by federal, state, and industryl sources. Our
faculty work in muliti-disciplinary and newly emerging fields. The
possibilities are endless.
Join us in Buffalo to reminisce, eat good food, tour the city
and revitalized waterfront, and plan our future endeavors together.
Your old friends can't wait to see you again.
We are hiring new faculty with in-demand expertise. Our
enrollments are on the rise and we have grown into the largest
department within the UB School of Engineering and Applied
Sciences.
Our faculty are experts in their fields. They include
award-winning researchers and teachers, members of prestigious
editorial boards, and fellows of the ACM, the IEEE, and the
AAAI.
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.
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.
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.
Wenyao
Xu leads an NSF-funded program that detects 3D printing data
security vulnerabilities by using smart phones to analyze
electromagnetic and acoustic waves. Kui
Ren and Chi
Zhou are co-authors.
Computer Science Education is an area of research which focuses
on curricular and pedagogic issues in the teaching of computer
science, as well as related issues such as recruitment and
retention of under-represented groups in the discipline.
Computational Science is an emerging discipline that unites
computer science and mathematics with disciplinary research in
biology, chemistry, physics, and other applied and engineering
fields.
Hardware and software issues from the circuit to the system have
three main foci: Very Large Scale Integration (VLSI) circuits and
systems, computer architecture, and computer security.
Computational linguistics and knowledge representation and
reasoning are core areas of classical artificial intelligence (AI)
- the computational understanding of human-level cognitive
abilities.
Computer vision is an interdisciplinary field drawing on
concepts from signal processing, artificial intelligence,
neurophysiology, and perceptual psychology.
Computer security research focuses on cryptography, trust,
privacy and information survivability issues such as threat
modeling, intrusion detection, assessment and recovery in networked
computers and wireless networks.
The field of programming languages is concerned with concepts,
notations, methodologies, tools, and environments for the
construction of robust, efficient, maintainable, and evolvable
software.
Research in medical applications focuses on developing efficient
algorithms and techniques for automatic analysis of biomedical
images, medical evaluation, computer assisted diagnosis and
surgery, and treatment planning.
Complexity theory is a mathematical discipline that classifies
computational problems by relative difficulty and measures the
computational resources needed to solve them.
