Florida Institute for Cybersecurity Research

Aside from security, biometrics that are non-invasive and easy to capture, such as the face, provide the ease and convenience users crave in their digital lives. There are various challenges that FICS is investigating to bring biometrics into practical use.

Biometric Resources

  • The Biometric Consortium, supported by NIST and the NSA, exists to facilitate scientific and technical interchanges between the U.S. Federal government and outside entities on biometric and other identity technologies.

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  • Over the last ten years or so, face recognition has become a popular area of research in computer vision and one of the most successful applications of image analysis and understanding.

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  • The BCOE is the FBI’s program for exploring and advancing the use of biometric technologies and capabilities for integration into operations. The BCOE strives to deliver state-of-the-art biometric tools and technologies to law enforcement and intelligence personnel around the world.

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About Dr. Woodard

Dr. D. Woodard Dr. Woodard received his Ph.D. in Computer Science and Engineering from the University of Notre Dame, his M.E. in Computer Science and Engineering from Penn State University, and his B.S. in Computer Science and Computer Information Systems from Tulane University. He is currently an Associate Professor within the Electrical and Computer Engineering Department at the University of Florida where he is a member of the Florida Institute for Cybersecurity (FICS) Research. In 2008, he joined North Carolina A&T State University and University of North Carolina Wilimington in forming the Center of Advanced Studies in the Identity Sciences (CASIS) which is the Office of the Director National Intelligence's first science and technology based Center of Academic Excellence (CAE).

His research interests include Biometrics / Identity Science, Machine Learning Based Cybersecurity, and Signal / Image Analysis. Prior to becoming a faculty member, Dr. Woodard was a Director of Central Intelligence postdoctoral fellow. His postdoctoral research focused on the development of advanced iris recognition systems using high resolution sensors. His current research projects include applications of deep-learning to identity science, mobile device usage based biometric identification, and author attribution (stylometry).