Research

a composite image depicting a human eye, fingerprint, and biometric measurements.

CUBS research and development activities in machine learning span two strategic application areas, biometrics and language technologies. The activities range from research on Department of Defense projects and developing prototype devices for the industry, to organizing major technical conferences and training graduate students.

4/20/20
Professor Govindaraju's work in handwriting recognition was at the core of the first handwritten address interpretation system used by the United States Postal Service.
11/6/19
CUBS projects are funded by industry and government agencies. Federal sponsors include the Army Research Labs, the Central Intelligence Agency, the Defense Intelligence Agency, and the National Science Foundation. Industry sponsors include BBN Raytheon, Google, HP, IBM, and Lockheed Martin.
5/5/20
University at Buffalo, the State University of New York Dataset for Keystoke Dynamics and Mouse Movements. Funded in part by National Science Foundation Grant No. CNS-1314803.
11/20/19
Scholarly activities at CUBS include the completion of 39 PhD dissertations, 17 MS theses, 7 patents, 17 books/edited volumes, and over 400 journal, conference, and workshop papers. CUBS alumni are employed at BBN Technologies, Fujitsu Labs, eBay, Google, Siemens Medical Solutions, and Yahoo Research.