Rama Chellappa is a Bloomberg Distinguished Professor of electrical and computer engineering and biomedical engineering with Johns Hopkins University (JHU), Baltimore. He holds a secondary appointment in the computer science department. He received the B.E. (Hons.) degree from the University of Madras, Madras, India, in 1975, the M.E. (Distinction) degree from the Indian Institute of Science, Bangalore, India, in 1977, and the M.S.E.E. and Ph.D. degrees in electrical engineering from Purdue University in 1978 and 1981, respectively. He is also affiliated with the Institute for Assured Autonomy, Center for Imaging Science, the Center for Language and Speech Processing, The Malone Center for Engineering Health, and the Mathematical Institute for Data Sciences at JHU. Before moving to JHU in August 2020, Dr. Chellappa was a Distinguished University Professor and a Minta Martin professor of engineering with the University of Maryland (UMD). He was a Professor in the department of electrical and computer engineering and the University of Maryland Institute for Advanced Computer Studies. Currently, he holds the position of a College Park Professor in the electrical and computer engineering department at UMD. 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 41 years, he has published numerous book chapters, peer-reviewed journal, and conference papers. He has coauthored and coedited books on Markov random fields, face, and gait recognition, and collected works on image processing and analysis. He has served as a co-editor-in-chief of graphical models and image processing. His current research interests are computer vision, artificial intelligence, machine learning, image processing and pattern recognition with applications in face and gait analysis, markerless motion capture; 3-D modeling from video, image and video-based recognition and exploitation, compressive sensing, and hyper spectral processing. Professor Chellappa has received several awards, including a National Science Foundation Presidential Young Investigator Award, four IBM Faculty Development Awards, an Excellence in Teaching Award from the School of Engineering at University of Southern California-Los Angeles, and several paper awards from the International Conference on Pattern Recognition and Biometrics conferences. He received the Society, Technical Achievement and Meritorious Service Awards from the IEEE Signal Processing Society. He also received the Technical Achievement and Meritorious Service Awards from the IEEE Computer Society. At the University of Maryland, he was elected as a distinguished faculty research fellow, as a distinguished scholar-teacher, received the outstanding Faculty Research Award and the Poole and Kent Teaching Award for the Senior Faculty from the College of Engineering, an Outstanding Innovator Award from the Office of Technology Commercialization and an Outstanding GEMSTONE Mentor Award. In 2010, he was recognized as an Outstanding ECE by Purdue University. He is a fellow of the AAAI, AAAS, ACM, AIMBE, IEEE, the International Association for Pattern Recognition, the National Academy of Inventors and the Optical Society of America. He has served as an associate editor for four IEEE publications and as the editor-in-chief of the IEEE Transactions on Patter Analysis and Machine Intelligence. He served as a member of the IEEE Signal Processing Society Board of Governors and as its vice president of awards and membership. He served as a general and technical program chair for several IEEE international and national conferences and workshops. He is a golden core member of the IEEE Computer Society and served a two-year term as a distinguished lecturer of the IEEE Signal Processing Society. Recently, he completed a two-year term as president of IEEE Biometrics Council. His Google Scholar h-index is 133.
