Computer scientists introduce innovative new work at annual conferences. The Computer Security and Cryptography research community expands the state of the art at these, the field's most prestigious and selective conferences:
Research Topics: Emerging Network Technologies and Security, Machine Learning for Security and Privacy, Security and Privacy in IoT and CPS, Security and Privacy in Social Networks, Usable Privacy and Security
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.
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.
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.
Shambhu Upadhyaya received a 2021-22 Excellence in Graduate Student Mentoring Award, presented by the Graduate School to recognize UB faculty for their support and development of graduate students through their mentoring activities.
Michael Langberg, Siwei Lyu and Shambhu Upadhyaya have been elected Fellows of IEEE, a professional organization dedicated to advancing technology and fostering technological innovation for the benefit of humanity.
Agarwal was recognized for his work on ‘detecting and mitigating a spectrum of attacks at the data level to protect the integrity of various biometrics and computer vision algorithms using machine learning algorithms’.