Research Areas

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

Courses Taught

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

  Calendar

Amit Roy-Chowdhury leads the Video Computing Group at UCR, working on foundational principles of computer vision, image processing, and machine 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 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 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 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, received the Doctoral Dissertation Mentoring/Advising Award from UCR in 2019, and the Distinguished Alumni Award from the University of Maryland, College Park in 2020.