Vivek Goyal, Principal Investigator of the RLE Signal Transformation and Information Representation Group, has been named an IEEE Fellow. Goyal is being recognized “for contributions to information representations and their applications in acquisition, communication, and estimation.”
The IEEE Grade of Fellow is conferred by the IEEE Board of Directors upon a person with an outstanding record of accomplishments in any of the IEEE fields of interest. The evaluation process is highly selective; the total number of Fellows named in any one year cannot exceed one-tenth of one-percent of the total voting membership. Accordingly, the distinction of IEEE Fellow represents the highest grade of membership, and is recognized by the technical community as a prestigious honor and an important career achievement.
Goyal initially gained widespread attention for developing methods for information representation suitable for lossy packetized communication, such as communication over the Internet. This work was popularized by his award-winning article, “Multiple description coding: Compression meets the network.” Later, Goyal co-invented WEBRC, the first receiver-driven, multiple rate congestion control protocol to be an Internet standard for IP multicast. His recent work focuses on exploiting efficient information representations to understand and improve acquisition systems. In collaboration with students and colleagues at MIT, Goyal has achieved speed-ups in MRI, explained logarithmic scaling in human perception, and realized unprecedented resolution relative to pulse bandwidth and detector sampling rate in an active optical ranging. Most recently, Goyal led the team that developed first-photon imaging, a method for acquiring reflectance and 3D structure of scene from only one detected photon per pixel, even in the presence of significant ambient light. He is also the coauthor of signal processing textbooks: Foundations of Signal Processing (published by Cambridge University Press) and Fourier and Wavelet Signal Processing (forthcoming).
Goyal has been a plenary speaker at several conferences, and serves in several leadership positions within the technical community. He is a Conference Chair of the SPIE Wavelets and Sparsity series, a Technical Program Committee Chair of the 2016 IEEE International Conference on Image Processing, and Vice Chair of an IEEE Signal Processing Society technical committee. He also serves on the Steering Committee of the IEEE Transactions on Multimedia, the Editorial Board of Foundations and Trends in Signal Processing, and the Scientific Advisory Board of the Banff International Research Station for Mathematical Innovation and Discovery.
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