東北学院大学イメージ

FIT2021 船井業績賞受賞記念講演

Shree K. Nayer

Computational Cameras for Humans and Machines

Prof. Shree K. Nayar

T. C. Chang Chaired Professor, Computer Science, Columbia University

Biography: Shree K. Nayar is the T. C. Chang Professor of Computer Science at Columbia University. He heads the Columbia Vision Laboratory, which develops advanced computational imaging and computer vision systems. His research is focused on three areas - the creation of novel cameras that provide new forms of visual information, the design of physics-based models for vision and graphics, and the development of algorithms for understanding scenes from images. His work is motivated by applications in the fields of digital imaging, computer graphics, robotics and human-computer interfaces.

Prof. Nayar received his PhD degree in Electrical and Computer Engineering from the Robotics Institute at Carnegie Mellon University. For his research and teaching he has received several honors including the David Marr Prize (1990 and 1995), the David and Lucile Packard Fellowship (1992), the National Young Investigator Award (1993), the NTT Distinguished Scientific Achievement Award (1994), the Keck Foundation Award for Excellence in Teaching (1995), the Columbia Great Teacher Award (2006), the Carnegie Mellon Alumni Achievement Award (2009), the Sony Appreciation Honor (2014), the Columbia Engineering Distinguished Faculty Teaching Award (2015), and the IEEE PAMI Distinguished Researcher Award (2019).

For his contributions to computer vision and computational imaging, Prof. Nayar was elected to the National Academy of Engineering in 2008, the American Academy of Arts and Sciences in 2011, and the National Academy of Inventors in 2014.