Faculty Co-Directors

BerndGirodBernd Girod is the Robert L. and Audrey S. Hancock Professor of Electrical Engineering at Stanford University, California. He received the Engineering Doctorate degree from University of Hannover, Germany, and the M.S. degree from the Georgia Institute of Technology. Until 1999, he was a Professor with the Electrical Engineering Department, University of Erlangen– Nuremberg. He has authored over 600 conference and journal papers and six books, receiving the EURASIP Signal Processing Best Paper Award in 2002, the IEEE Multimedia Communication Best Paper Award in 2007, the EURASIP Image Communication Best Paper Award in 2008, the EURASIP Signal Processing Most Cited Paper Award in 2008, the EURASIP Technical Achievement Award in 2004, and the Technical Achievement Award of the IEEE Signal Processing Society in 2011. His research interests are in the area of image, video, and multimedia systems. As an entrepreneur, he was involved in numerous startup ventures, among them Polycom, Vivo Software, 8x8, and RealNetworks. He is a Fellow of the IEEE, a EURASIP Fellow, a member of the the National Academy of Engineering, and a member of the German National Academy of Sciences (Leopoldina).
gwetzstein-thumbGordon 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, an interdisciplinary research group focused on advancing imaging, microscopy, and display systems. Prior to joining Stanford in 2014, Prof. Wetzstein was a Research Scientist in the Camera Culture Group at the MIT Media Lab. 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. His doctoral dissertation focuses on computational light modulation for image acquisition and display and won the Alain Fournier Ph.D. Dissertation Annual Award. He organized the IEEE 2012 and 2013 International Workshops on Computational Cameras and Displays as well as the 2017 Int. Conference on Computational Photography, founded displayblocks.org as a forum for sharing computational display design instructions with the DIY community, and presented a number of courses on Computational Displays and Computational Photography at ACM SIGGRAPH. Gordon is the recipient of an NSF CAREER award, a Laval Virtual Award in 2005 and the EI Scientist of the Year Award in 2017.

Executive Director

JoyceJoyce Farrell is a Senior Research Associate in the Stanford School of Engineering and the Executive Director of the Stanford Center for Image Systems Engineering (SCIEN). She received a doctorate degree from Stanford University and an undergraduate degree from the University of California at San Diego. Joyce has authored over 100 conference and journal papers on imaging systems, simulation and human perception, and has more than 20 years of research and professional experience working at a variety of companies and institutions, including the NASA Ames Research Center, New York University, the Xerox Palo Alto Research Center, Hewlett Packard Laboratories and Shutterfly. She served as the Technical Program and General Conference Chairs for many technical conferences, including the OSA Topical Meeting on Imaging Systems and Applications, the IS&T Symposium on Electronic Imaging and the Society for Information Displays.

Strategic Advisors

fengxiaoDr. Feng Xiao is the founder and CEO of FengYun Vision Technology Co. LTD, a startup specialized in 3D vision and AI technologies. He is also the founding President of Silicon Valley-ZhongGuanCun Association of Digital Innovations, an alliance between individuals and companies developing emerging technologies and applications for AI/VR/AR/MR. Before founding FengYunn Vision, Dr. Xiao held various research and management roles at TI, Agilent, Motorola, Fairchild Imaging and Vimicro. Dr. Xiao's main interests are in high performance imaging system, imaging sensor, image processing algorithms, 3D vision, human vision system and embedded AI solutions for consumer/automotive/industry applications. Xiao received his BS degree in Physics from the University of Science and Technology of China and MSEE degree and Ph.D degree in Psychology both from Stanford University.
DaveSinghalDave Singhal is an entrepreneur in imaging and machine learning. He is currently exploring multi-modal medical CNNs and advising Apricity Health in that area. At Stanford, Dave developed multi-user interaction on a pseudo-holographic display. Previously, Dave worked on GPUs at NeoMagic and Trident and founded Luxxon, an imaging chip and server company. He later developed medical IT projects in an incubator he directed for six years at Cisco. Prior to Cisco, Dave led strategy at the processing technology vendor MIPS. Dave holds 10+ patents in areas including imaging, transcoding, displays, and medical image quality metrics. He received an MS EE from Stanford and a BS EECS from UC Berkeley