University of California Riverside - Electrical Engineering
Professor and Bourn's Family Faculty Fellow, Electrical and Computer Engineering, UC Riverside
Amit
Roy-Chowdhury
Amit Roy Chowdhury leads the Video Computing Group at UCR, working on foundational principles of computer vision, image processing, and vision-based statistical learning, with applications in cyber-physical, autonomous and intelligent systems. Prof. Roy-Chowdhury's research has been supported by various US government agencies and private industries. His research group has published about 200 papers in peer-reviewed journals and top conferences. He is the first author of the book Camera Networks: The Acquisition and Analysis of Videos Over Wide Areas, the first monograph on the topic. His work on face recognition in art was featured widely in the news media, including a PBS/National Geographic documentary and in The Economist. He is a Senior Associate Editor of IEEE Trans. on Image Processing and regularly serves on the editorial boards of major journals and program committees of the main conferences in his area. He is a Fellow of the IEEE and IAPR. For more details, please see https://vcg.ece.ucr.edu/amit/.
PhD
Electrical and Computer Engineering
ME
Systems Science and Automation
BE
Electrical Engineering
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