Yaniv Romano received his B.Sc. degree from the Department of Electrical Engineering, Technion – Israel Institute of Technology, in 2012, where he is currently pursuing his Ph.D.. He received the 2015 Zeff fellowship, the 2017 Andrew and Erna Finci Viterbi fellowship, and the 2017 Irwin and Joan Jacobs fellowship.
In parallel to his studies, he has been working in the industry since 2011 as an Image Processing Algorithm Developer. The super-resolution technology he invented as a researcher in Google was launched in 2017, leading to significant bandwidth savings of billions of images.
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EdX
Dive into the core concepts of Sparse Representations with our introductory course on Signal and Image Processing Fundamentals. Learn how sparse representations revolutionize the way we analyze, process, and interpret complex signals and images, starting from the basics to advanced applications.
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