Gordon Wetzstein

Winner. Scientist of the Year 2017. Engineering & Technology

Contestant's Profile

gordon wetzstein

Gordon Wetzstein


Academic title, degree: Assistant Professor, Ph.D.
Fields of science: Electrical Engineering, Computer Science
Research interest: Computer Graphics, Machine Vision, Optics, Scientific Computing, Applied Vision Science
Institution: Stanford University
Position: Assistant Professor, Electrical Engineering Department
Country: USA


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About Contestant

Gordon Wetzstein is an Assistant Professor of Electrical Engineering and, by courtesy, of Computer Science at Stanford University. He is the leader of the Stanford Computational Imaging Lab and a faculty co-director of the Stanford Center for Image Systems Engineering.

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At the intersection of computer graphics, machine vision, optics, scientific computing, and applied vision science, Prof. Wetzstein's research has a wide range of applications in next-generation imaging, display, wearable computing, and microscopy systems. Prior to joining Stanford in 2014, Prof. Wetzstein was a Research Scientist in the Camera Culture Group at MIT. He received a Ph.D. in Computer Science from the University of British Columbia in 2011 and graduated with Honors from the Bauhaus in Weimar, Germany before that. He is the recipient of an NSF CAREER Award, an Alfred P. Sloan Fellowship, an ACM SIGGRAPH Significant New Researcher Award, a Presidential Early Career Award for Scientists and Engineers (PECASE), an SPIE Early Career Achievement Award, a Terman Fellowship, an Okawa Research Grant, the Electronic Imaging Scientist of the Year 2017 Award, an Alain Fournier Ph.D. Dissertation Award, and a Laval Virtual Award as well as Best Paper and Demo Awards at ICCP 2011, 2014, and 2016 and at ICIP 2016.

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Achievements 2017

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Contribution:

Pioneering contributions to electronic imaging in the areas of computational light field and near-eye display technologies.

Patents:

  • • M.A. Klug, R. Konrad, G. Wetzstein, B.T. Schowengerdt, M.B. Vaughn "System and method for presenting image content on multiple depth planes by providing multiple intra-pupil parallax views", US Patent Application 15/789,895 2017
  • • G. Wetzstein, R. Konrad "Accommodation-invariant Computational Near-eye Display", US Patent Application

Source: http://web.stanford.edu/~gordonwz/cv/

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