Lab Group

Amit K. Roy-Chowdhury


Professor and Bourns Family Faculty Fellow
Electrical and Computer Engineering
Computer Science and Engineering (Cooperating)
Director,  Center for Robotics and Intelligent Systems
Principal Investigator, Video Computing Group


WCH 431, UC Riverside
(951) 827-7886

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)



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.