Vivek K Goyal

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Vivek K Goyal


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Boston University

Department of Electrical and Computer Engineering

Research Interests

  • Compressed Sensing
  • Detection and Estimation
  • Signal Processing
  • Source Coding
  • Statistical Learning and Inference


Vivek K Goyal received the B.S. degree in mathematics and the B.S.E. degree in electrical engineering from the University of Iowa, where he received the John Briggs Memorial Award for the top undergraduate across all colleges.  He 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 in the Mathematics of Communications Research Department of Bell Laboratories, Lucent Technologies, 1998-2001; and a Senior Research Engineer for Digital Fountain, Inc., 2001-2003. He was with the Massachusetts Institute of Technology 2004-2013, where he was the Esther and Harold E. Edgerton Associate Professor of Electrical Engineering. He is now with the Department of Electrical and Computer Engineering of Boston University. His research interests include computational imaging, human perception, decision making, sampling, quantization, and source coding theory.

Dr. Goyal is a member of Phi Beta Kappa, Tau Beta Pi, Sigma Xi, Eta Kappa Nu and SIAM. He was awarded the 2002 IEEE Signal Processing Society Magazine Award and an NSF CAREER Award. He is a Fellow of the IEEE. 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 four MIT thesis awards. He served on the IEEE Signal Processing Society (SPS) Image and Multiple Dimensional Signal Processing Technical Committee (TC) and the Steering Committee of the IEEE Transactions on Multimedia. He currently serves on the IEEE SPS Image, Video, and Multidimensional Signal Processing TC, the Editorial Board of Foundations and Trends and Signal Processing, and the Scientific Advisory Board of the Banff International Research Station for Mathematical Innovation and Discovery. He is a Technical Program Committee Co-chair of IEEE ICIP 2016 and Sampling Theory and Applications 2015, and a permanent Conference Co-chair of the SPIE Wavelets and Sparsity conference series. He is a co-author of Foundations of Signal Processing (Cambridge University Press, 2014).