Shree Nayar
Shree Nayar earned a doctorate in electrical and computer engineering from Carnegie Mellon’s Robotics Institute. He is Columbia’s T. C. Chang Professor and leads the CAVE imaging and vision laboratory. Nayar’s research covers cameras that provide new kinds of visual information, physics-based models for vision and graphics, and algorithms for interpreting scenes. His work spans imaging, robotics and human-computer interfaces. He received the 2019 PAMI Distinguished Researcher Award. His professional home page also provides First Principles of Computer Vision and Computer Vision Monographs as resources for learning about visual computing.
- Now at
- Columbia University
- Works
- 481
- Citations
- 39,055
- h-index
- 95
Publication numbers from OpenAlex, as of 14 October 2026.
Timeline
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Education
Robotics doctorate
Shree Nayar earned a doctorate in electrical and computer engineering from Carnegie Mellon’s Robotics Institute. He is Columbia’s T. C. Chang Professor and leads the CAVE imaging and vision laboratory.
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Research program
Cameras and scene understanding
Nayar’s research covers cameras that provide new kinds of visual information, physics-based models for vision and graphics, and algorithms for interpreting scenes. His work spans imaging, robotics and human-computer interfaces.
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2019 and educational work
Vision research and teaching
He received the 2019 PAMI Distinguished Researcher Award. He also provides First Principles of Computer Vision and Computer Vision Monographs as resources for learning about visual computing.
Sources and credits
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