Title: Chair and Minta Martin Professor of Engineering
Areas/Affiliations: ECE, CS, UMIACS, CFAR
Office: A.V. Williams 4411
Rama Chellappa received the B.E. (Hons.) degree from the University of Madras, India, in 1975 and the M.E. (Distinction) degree from the Indian Institute of Science, Bangalore, in 1977. He received the M.S.E.E. and Ph.D. Degrees in Electrical Engineering from Purdue University, West
Lafayette, IN, in 1978 and 1981 respectively. Since 1991, he has been a Professor of Electrical Engineering and an affiliate Professor of Computer Science at the University of Maryland, College Park. He is also affiliated with the Center for Automation Research (Director) and the Institute for Advanced Computer Studies (Permanent member). He also holds a Minta Martin
Professorship in the College of Engineering. He was appointed Chair of the Department of Electrical and Computer Engineering in July 2011.
Prior to joining the University of Maryland, he was an Assistant (1981-1986) and Associate Professor (1986-1991) and Director of the Signal and Image Processing Institute (1988-1990) with the University of Southern California, Los Angeles. Over the last 29 years, he has published numerous book chapters, peer-reviewed journal and conference papers. He has co-edited/co-authored books and research monographs on Markov random fields, gait analysis, face recognition, artificial neural networks and human action recognition. His current research interests are face and gait analysis, secure biometrics, 3D modeling from video, image/video exploitation from stationary and moving platforms, compressive sensing, hyper spectral processing, and commercial applications of image processing and understanding.
Prof. Chellappa served as an associate editor of four IEEE Transactions, as a co-Editor-in- Chief of Graphical models and Image Processing and as the Editor-in-Chief of IEEE Transactions on Pattern Analysis and Machine Intelligence. He also served as a member of the IEEE Signal Processing Society Board of Governors, as a Distinguished Lecturer and as its Vice President of Awards and Membership. He is currently serving as the President of IEEE Biometrics Council. He has received several awards, including an NSF Presidential Young Investigator Award, four IBM Faculty Development Awards, the 1990 Excellence in Teaching Award from School of Engineering at USC, the Society, Technical Achievement and Meritorious Service Awards from the IEEE Signal Processing Society and the Technical Achievement and Meritorious Service Awards from the IEEE Computer Society. He also co-authored two papers that were recognized as best industry-related paper and best student paper, respectively by the International Association of Pattern Recognition.
At the University of Maryland, he was elected as a Distinguished Faculty Research Fellow, as a Distinguished Scholar-Teacher and received the Outstanding Invention Award from the Office of technology Commercialization, the Faculty Outstanding Research Award from the College of Engineering and an Outstanding GEMSTONE Mentor Award. Recently, Purdue University recognized him with an Outstanding ECE award. He is a Fellow of the IEEE, the International Association for Pattern Recognition and the Optical Society of America. He has served as a General and Technical Program Chair for several IEEE international and national conferences and workshops and is a Golden Core Member of IEEE Computer Society.
* Signal and Image Processing
* Computer Vision
* Pattern Recognition
* Multi-dimension Stochastic Processes
* Statistical Inference
* Computer Vision and Image Analysis
* Robust and Secure Biometrics
* AI in Computer Vision
Spotlight on Research: Human Gait Analysis & Recognition
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