Onur G. Guleryuz is a Software Engineer at Google working on machine learning and computer vision problems with applications in augmented and virtual reality. Prior to Google he worked at LG Electronics, Futurewei, NTT DoCoMo, and Seiko-Epson all in Silicon Valley. Before coming to Silicon Valley in 2000 he served as an Asst. Prof. with NYU Tandon School of Engineering in New York. His research interests include topics in statistical signal processing, computer vision, and information theory. He has served in numerous panels, conference committees, and media-related industry standardization bodies. He has authored an extensive number of refereed papers, granted US patents, and has leading edge contributions to products ranging from mobile phones to displays and printers. He has been an active member of IEEE Signal Processing Society, currently serving as Chair of the IEEE Signal Processing Society Image, Video, and Multidimensional Signal Processing Technical Committee. He received the BS degrees in electrical engineering and physics from Bogazici University, Istanbul, Turkey in 1991, the M.S. degree in engineering and applied science from Yale University, New Haven, CT in 1992, and the Ph.D. degree in electrical engineering from University of Illinois at Urbana-Champaign (UIUC), Urbana, in 1997. He received the National Science Foundation Career Award, the IEEE Signal Processing Society Best Paper Award, the IEEE International Conference on Image Processing Best Paper Award, the Seiko-Epson Corporation President's Award for Research and Development, and the DoCoMo Communications Laboratories President's Award for Research. Further information including patent and publication details can be found here.