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In
This Issue:
Astronaut Alums Take SEAS to New Heights
Biomedical Engineering Meets Art at MoMA
SEAS Establishes New Advisory Board For Entrepreneurship
Philips Electronics Honors Professor Gertrude Neumark
Deodatis Is Named First Calatrava Family Professor
Engineers Without Borders Brings “Power to the People”
Programs That Create Engineers Who Care
Doing Well by Doing Good
BOTWINICK MULTIMEDIA LEARNING LABORATORY
Faculty Notes
TWO SEAS PROPOSALS RECEIVE UNIVERSITY FUNDING
Nayar Elected New Member of National Academy of Engineering
Undergrads Contribute to Research
University Announces New Financial Aid Plan
SEAS Parents Program Formed
SEAS Goes West, Brings Columbia to CA
Reunion Program
Alumni Notes
In Memoriam
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Nayar Elected New Member of
National Academy of Engineering
Shree Nayar, T. C. Chang Professor of Computer Science at Columbia University, has been elected to the National Academy of Engineering, one of the highest professional distinctions awarded an engineer. In announcing his election, NAE President Charles M. Vest noted that Professor Nayar was being recognized “for the development of computational cameras and physics-based models for computer vision and computer graphics.”
As co-director of the Columbia Vision and Graphics Center and head of the Computer Vision Laboratory at Columbia University, he has focused his research on three areas; the creation of novel cameras, the design of physics- based models for vision, and the development of computer algorithms for scene understanding. He has done pioneering work on computational cameras that embody the convergence of the camera and the computer. While the traditional camera is based on the pinhole model (camera obscura), Nayar's computational cameras use unconventional lenses that produce optically coded images. These images are computationally decoded to produce new forms of visual information.
Nayar and his students have developed computational cameras that produce panoramic images with 360 degree field of view, high dynamic range images with significantly greater scene details, multispectral images that go beyond the usual red-green-blue color channels, and depth images that reveal three-dimensional scene structure. Nayar's inventions have been widely adopted by industry to address applications in digital photography, computer vision and computer graphics.
A native of Trivandrum, India, he was born in Bangalore and grew up in Hyderabad and New Delhi. He received a B.S. degree in electrical and computer engineering from the Birla Institute of Technology and a Ph.D. degree in electrical and computer engineering from the Robotics Institute at Carnegie Mellon University. He has been on the faculty of The Fu Foundation School of Engineering and Applied Science since 1991 and was named to the T.C. Chang Professorship in 2002.
He has published more than 100 scientific papers and has more than 30 patents related to imaging, vision and robotics. He has received many prizes and awards, including the prestigious David Marr Prize twice, the David and Lucille Packard Fellowship, the National Young Investigator Award, the NTT Distinguished Scientific Achievement Award, the Keck Foundation Award for Excellence in Teaching and the Columbia Great Teacher Award.
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