Students collaborate in Mike Buckley's CSE 453: Hardware/Software Integrated Systems Design lab in Fall 2009. Photo credit: Douglas Levere
We provide scholars and investigators with innovative computing systems, laboratory facilities and equipment while offering high-level administrative support for faculty members seeking to conduct research and commercialize inventions.
CARA was founded in 2018 to promote both basic and applied big data related research, as well as multidisciplinary efforts to apply data analytics to all technology and engineering fields, natural sciences, medical sciences and health, social sciences as well as arts and humanities.
The Center for Unified Biometrics and Sensors (CUBS) is focused on advancing the fundamental science of biometrics and providing key enabling technologies to build engineered systems. UB researchers are taking a unified view of biometric technologies by integrating software algorithms for accurate identification of various biometrics and data analysis (informatics) with hardware acquisition devices.
The Center of Excellence for Document Analysis and Recognition (CEDAR) is a research center at the University at Buffalo, State University of New York. Growing out of research on pattern recognition, conducted since 1978 in the Department of Computer Science, CEDAR was made possible with funding from several federal agencies, principally the United States Postal Service. While analysis of paper documents and handwriting recognition continues to be our strength, we have research and software development projects involving diverse digital document types.
The Center of Excellence in Information Systems Assurance, Research and Education (CEISARE) offers graduate education and coordinated research in computer security and information assurance. Research topics include the broad areas of e-commerce, security, networks and secure voting. Current projects address critical issues such as the development of cyber-attack recognition systems, protecting documents from insider threats, real-time intrusion detection, unintended information retrieval, and the security of corporate intranets.
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.
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.
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.
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.
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 Nils Napp’s project, entitled “Abstraction Barriers for Embodied Algorithms,” addresses the problem of modeling physical interactions of robots in real-world environments. For example, a robot action can inadvertently change the state of the world, sometimes directly causing accidents or causing problems in future robot-world interactions. This project addresses this problem in the context of robot construction by developing representations of the world state that robots can reason about and use for planning. These allow programmers to treat robots and embodied algorithms and to make robots that reliably operate when modifying the environment and building structures.