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.

Pioneers in AI Systems
10/28/26
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.
Projects
10/28/26
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.
Datasets
10/28/26
Fingerprint spoof attacks represent one of the most prevalent forms of biometric presentation attacks. While significant progress has been made in framing fingerprint spoof detection as a general image classification problem, limited attention has been given to treating it as a temporal learning problem. The distinctions in the elastic properties between authentic and synthetically created counterfeit fingerprints can be more accurately captured under motion-induced gestures during acquisition. In this study, we introduce a novel method for detecting fake fingerprints by deliberately introducing distortions through sliding and twisting motions during acquisition.
Research Highlights
10/28/26
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.

Research Highlights

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Best Paper Awards
10/28/26
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^th International Conference on Document Analysis and Recognition (ICDAR).
Mentoring Award
10/28/26
Dr. Govindaraju is the recipient of UB's “Excellence in Graduate Student Mentoring Award.” The award is given to a member of the UB Graduate Faculty for "truly outstanding and sustained support and development of graduate students from course completion through research and subsequent career placement."
IPIAM 2019
10/28/26
CUBS is hosting the 8th International Program on Cyber Security for Banks and Financial Sector in Niagara Falls, NY.
Publication at BTAS
10/28/26
Congratulations to Devansh Arpit, Chetan Ramaiah, and Venu Govindaraju for their publication "Subspace Learning via Low Rank Projections for Dimensionality Reduction" at the 8th IEEE International Conference on Biometrics: Theory, Applications, and Systems (BTAS 2016).
AI for Social Good
10/28/26
Govindaraju postal research highlighted in Keynote by Eric Horvitz at the Computing Community Consortium workshop on AI for Social Good. >> Watch on Youtube

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Research

Research Highlights

Center for Unified Biometrics and Sensors