Video Computing Group

Lab Group
header-image_0001_layer_4.jpg
header-image_0003_layer_0.jpg
header-image_0002_layer_1.jpg

Amit K. Roy-Chowdhury

amit

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
Co-Director, Center for Networked Configurable Command, Control and Communications for Rapid Situational Awareness (NC4)

Contact

WCH 431, UC Riverside
(951) 827-7886
amitrc@ece.ucr.edu

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.