Dr. 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 like the NSF and DoD, and private industries like Google, CISCO, MERL, and Adobe. His research group has published over 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 students have been first authors on papers that received best paper awards at ICASSP and ICMR. 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 currently a Senior Associate Editor of the IEEE Trans. on Image Processing and an Associate Editor of the IEEE Trans. on Pattern Analysis and Machine Intelligence. He is regularly on the program committees of the main conferences in his area, and has served as an Area Chair multiple times. He is a Fellow of the IEEE and IAPR, and received the Dissertation Advisor/Mentoring Award from the UCR in 2019. For more details, please see his CV. 

Research Interests

• Computer Vision and Image Processing
• Statistical Signal Processing and Machine Learning
• Information Forensics
• Vision Sensor Networks
• Multimedia
• Biomedical Image Processing

Teaching

• EE114 - Probability, Random Variables and Processes in Electrical Engineering (Undergraduate Core Class)
• EE215 - Stochastic Processes (Graduate Core Class)
• EE236 - State and Parameter Estimation (Graduate Elective Class)
• EE241 - Advanced Digital Image Processing (Graduate Elective Class)
• EE243 - Advanced Computer Vision (Graduate Elective Class)
• EE247 - Current Topics in Computer Vision (Graduate Elective Class)