Goyal Receives IEEE Signal Processing Society Best Paper Award
Associate Professor of Electrical and Computer Engineering Vivek Goyal won a 2017 IEEE Signal Processing Society Best Paper Award. His article, titled “Message-Passing De-Quantization with Applications to Compressed Sensing,” was published in IEEE Transactions on Signal Processing in December 2012.
Goyal is one of three authors, including Ulugbek S. Kamilov (Washington University in St. Louis) and Sundeep Rangan (New York University). While writing the paper, Kamilov was a student in Dr. Goyal’s group. He has since joined Washington University in St. Louis as an Assistant Professor. The authors will receive the prestigious award for papers published over the five-year period ending 2016 during the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) April 2018 in Calgary, Alberta, Canada.
Goyal received the M.S. and Ph.D. degrees in electrical engineering from the University of California, Berkeley, where he received the Eliahu Jury Award for outstanding achievement in systems, communications, control, or signal processing. He was a Member of Technical Staff at Bell Laboratories, a Senior Research Engineer for Digital Fountain, and the Esther and Harold E. Edgerton Associate Professor of Electrical Engineering at MIT. He was an adviser to 3dim Tech, winner of the 2013 MIT $100K Entrepreneurship Competition Launch Contest Grand Prize, and consequently with Nest Labs (an Alphabet company) 2014-2016.
Goyal is a Fellow of the IEEE. He was awarded the 2002 IEEE Signal Processing Society (SPS) Magazine Award, an NSF CAREER Award, and the Best Paper Award at the 2014 IEEE International Conference on Image Processing. Work he supervised won student best paper awards at the IEEE Data Compression Conference in 2006 and 2011 and the IEEE Sensor Array and Multichannel Signal Processing Workshop in 2012 as well as five MIT thesis awards. He currently serves on the Editorial Board of Foundations in Trends and Signal Processing, the Scientific Advisory Board of the Banff International Research Station for Mathematical Innovation and Discovery, the IEEE SPS Computational Imaging SIG, and the IEEE SPS Industry DSP TC. He was a Technical Program Committee Co-chair of Sampling Theory and Applications 2015 and was a Conference Co-chair of the SPIE Wavelets and Sparsity conference series 2006-2016. He is a co-author of Foundations of Signal Processing (Cambridge University Press, 2014).