Rama Chellappa - Biography#

Chellappa is the Bloomberg Distinguished Professor at the Johns Hopkins University (JHU). He has primary appointments in the departments of Electrical and Computer Engineering and Biomedical Engineering (School of Medicine). At JHU, he is affiliated with the Center for Imaging Science, the Center for Language and Speech Processing, the Institute for Assured Autonomy and the Mathematical Institute for Data Science. He joined the Johns Hopkins University after 29 years at the University of Maryland (UMD). At UMD, he held the position as a College Park Professor. Before that, he was an assistant (1981 - 1986), associate professor (1986 - 1991), and later, director, of the University of Southern California’s Signal and Image Processing Institute during 1988 to 1990. During his time at the University of Maryland, Chellappa was a professor of the Department of Electrical and Computer Engineering, as well as an affiliate professor at the Department of Computer Science. Rama Chellappa is an expert in computer vision, pattern recognition, artificial intelligence, image and signal processing, machine learning, and biometrics who uses data, geometry, and physics to help computer systems interpret the visual world. Chellappa’s work has impacted smart cars, forensics, and 2D and 3D modeling of faces, humans, objects, and terrain, and has the potential to significantly improve diagnosis and treatment for patients spanning a wide range of diseases. His specific contributions include Markov random fields with applications in texture analysis, recovery of 3D structure and motion from long sequences using discrete features and optic flow, error bounds for computer vision algorithms, context-driven object detection, deep learning methods for face recognition and verification, action detection in untrimmed videos, gait recognition. He has published over 900 journal and conference papers which have been cited 92,032 times with an h-index of 140 and an i10-index of 701 (Google Scholar).He is currently collaboration with many physicians at JHU School of Medicine on analyzing facial expressions for monitoring stroke victims and dementia patients, detecting autism in children as young as 14 months, and digital pathology.