Dr. Yaser S. Abu-Mostafa
Dr. Abu-Mostafa is a Professor of Electrical Engineering and Computer Science and a member of the Computation and Neural Systems faculty at the California Institute of Technology. Dr. Abu-Mostafa received the Clauser Prize for the most original doctoral thesis at Caltech. He received the ASCIT award for teaching excellence four times in, 1986, 1989, 1991 and 1995, and the Richard P. Feynman prize for excellence in teaching in 1996. Dr. Abu-Mostafa has more than 60 publications in the areas of learning theory, neural networks, pattern recognition, information theory and computational complexity, including two articles in Scientific American.

Dr. Pietro Perona
Dr. Perona is a Professor of Electrical Engineering at the California Institute of Technology. Dr. Perona is an expert with an extensive number of publications and research papers in the areas of computer and human vision research. He also leads the Computational Vision Group which is engaged in a number of "early vision" research topics at the Caltech Vision Group. His research interests include recognition, navigation, human-computer interfaces, texture analysis, multiresolution image analysis, diffusion, perception of shape-from-shading, perception of texture and models of early vision.

Dr. Tomaso Poggio
Dr. Poggio currently holds the Uncas and Helen Whitaker Professorship of Vision Sciences and Biophysics at the Department of Brain and Cognitive Sciences (BCS) at MIT, and is also affiliated with MIT's Artificial Intelligence Laboratory. He has also been Co-Director of MIT's Center for Biological and Computational Learning (CBCL) since 1993. Dr. Poggio's original training was as a theoretical physicist (he received a Ph.D. in Theoretical Physics from the University of Genoa in 1970) and his current research focuses primarily on the application of new learning techniques to time series analysis, object recognition, adaptive control and computer graphics.

Vance Bjorn
Vance Bjorn, CTO, graduated from the California Institute of Technology Electrical Engineering department where he specialized in computation and neural systems (CNS). He was a Caltech Merit Scholar and a former employee of Intel Corporation's Neural Network group in Santa Clara, CA. In starting DigitalPersona he went on leave from his studies as a National Department of Defense graduate fellow at the MIT Artificial Intelligence Laboratory.

Dr. Salil Prabhakar
Dr. Prabhakar received his BTech degree in Computer Science and Engineering from Institute of Technology, Banaras Hindu University, Varanasi, India, in 1996. After working for IBM India for a year, he joined the Department of Computer Science and Engineering at Michigan State University where he completed his Ph.D. degree in 2001. He currently leads the Algorithms Research Group at DigitalPersona, Inc. Dr. Prabhakar's research interests include pattern recognition, image processing, computer vision, machine learning, biometrics, data mining and multimedia applications. He is co-author of more than 20 technical publications and has two patents pending.

Dr. Serge Belongie
Dr. Belongie is currently an assistant professor in the Computer Science and Engineering Department at U.C. San Diego. He received a B.S. degree (with honor) in Electrical Engineering from the California Institute of Technology in 1995 and M.S. and Ph.D. degrees in Electrical Engineering and Computer Sciences (EECS) from U.C. Berkeley in 1997 and 2000. While at Berkeley, his research was supported by a National Science Foundation Graduate Research Fellowship and the Chancellor's Opportunity Predoctoral Fellowship. He is also a co-founder of DigitalPersona, Inc., and the principal architect of the DigitalPersona fingerprint recognition algorithm. His research interests include computer vision, pattern recognition and digital signal processing.