Vivek Goyal

From Wikipedia, the free encyclopedia
Vivek K Goyal
Vivek Goyal 2016-10-11.jpg
Born
Waterloo, Iowa, U.S.
Alma materUniversity of Iowa
University of California, Berkeley
Scientific career
FieldsSignal processing
Computational imaging
Information theory
InstitutionsBoston University
Massachusetts Institute of Technology
Bell Labs
Doctoral advisorMartin Vetterli

Vivek K Goyal is an American engineering professor, author, and inventor. He is currently Professor of Electrical and Computer Engineering at Boston University (BU).[1] He was named Fellow of the Institute of Electrical and Electronics Engineers (IEEE) in 2014[2] for contributions to information representations and their applications in acquisition, communication, and estimation. He was named OSA Fellow in the 2020 class[3] for outstanding inventions in computational imaging and sensing, including unprecedented demonstrations of the utility of weak, mixed, and indirect optical measurements. He is also a member of the IEEE Information Theory Society.[4]

Education and career[]

Goyal attended Malcolm Price Laboratory School in Cedar Falls, Iowa, through graduation from its Northern University High School division.[5] He received BS and BSE degrees from the University of Iowa in 1993 and MS and PhD degrees from University of California, Berkeley, in 1995 and 1998, respectively. From 1998 to 2000 he served as a Member of Technical Staff at Bell Labs, and from 2001 to 2003 served as a Senior Research Engineer at Digital Fountain. He returned to UC Berkeley in 2003 as a visiting scholar, and from 2004 to 2013 was with the Massachusetts Institute of Technology, including holding the Esther and Harold E. Edgerton chair in the Department of Electrical Engineering and Computer Science.[6] He has been with Boston University since 2016, after two years with the Nest Labs division of Alphabet Inc.[7]

Scientific contributions[]

Goyal coauthored the 2014 textbook Foundations of Signal Processing with Martin Vetterli and Jelena Kovačević. The book was blurbed by notable educators and researchers in the field of signal processing, Yoram Bresler, Robert M. Gray, Stéphane Mallat, Rico Malvar, Robert D. Nowak, Antonio Ortega, and Gilbert Strang, and favorably reviewed in IEEE Signal Processing Magazine.[8]

In 2013, Goyal's group invented first-photon imaging, a method to generate 3D depth and reflectivity images from exactly one detected photon per pixel, even when up to half of the detected photons are due to ambient light. Publication of an article introducing the method in Science[9] resulted in widespread news coverage.[10][11]

In an article published in Nature in 2019,[12] Goyal's group introduced a method for non-line-of-sight imaging that uses only an ordinary digital camera. This contrasts with many earlier methods that use pulsed laser illumination and detectors sensitive to single photons.[13][14][15]

U.S. patents have been issued for 19 of Goyal's inventions.[16]

Awards and honors[]

References[]

  1. ^ "These 19 Charles River Campus Faculty Have Been Promoted to Rank of Full Professor". BU Today. 26 May 2020. Retrieved 2 July 2020.
  2. ^ "IEEE Fellows 2014". IEEE Fellows Directory. Retrieved 2 December 2019.
  3. ^ "2020 OSA Fellows". The Optical Society. Retrieved 2 July 2020.
  4. ^ "Vivek K Goyal". IEEE Information Theory Society. Retrieved 2 December 2019.
  5. ^ Northern University High School (1988-01-01). "1988 Reach for the Stars". Malcolm Price Laboratory School Yearbooks.
  6. ^ "EECS names Berggren, Goyal and Stultz to Career Development Professorships". Research Laboratory of Electronics at MIT. 12 July 2007. Retrieved 2 July 2020.
  7. ^ "Vivek Goyal". Boston University. Retrieved 2 December 2019.
  8. ^ Kwasinski, Andres (January 2016). "Foundations of Signal Processing [Book Reviews]". IEEE Signal Processing Magazine. 33 (1): 163–164. doi:10.1109/MSP.2015.2470455. ISSN 1053-5888. S2CID 21960569.
  9. ^ Kirmani, Ahmed; Venkatraman, Dheera; Shin, Dongeek; Colaço, Andrea; Wong, Franco N. C.; Shapiro, Jeffrey H.; Goyal, Vivek K. (2014-01-03). "First-Photon Imaging". Science. 343 (6166): 58–61. doi:10.1126/science.1246775. ISSN 0036-8075. PMID 24292628. S2CID 25885022.
  10. ^ Cowen, Ron (2013). "Stealth camera takes pictures virtually in the dark". Nature News. doi:10.1038/nature.2013.14260. S2CID 124395359.
  11. ^ "Camera takes 3D photos in the dark". BBC News. 2013-12-02. Retrieved 2020-07-02.
  12. ^ Saunders, Charles; Murray-Bruce, John; Goyal, Vivek K (24 January 2019). "Computational periscopy with an ordinary digital camera". Nature. 565 (7740): 472–475. doi:10.1038/s41586-018-0868-6. hdl:2144/39239. ISSN 1476-4687. PMID 30675042. S2CID 59159867.
  13. ^ "A camera that can see round corners". The Economist. ISSN 0013-0613. Retrieved 2020-07-02.
  14. ^ Castelvecchi, Davide (2019-01-23). "How an ordinary camera can see around corners". Nature. doi:10.1038/d41586-019-00267-x.
  15. ^ Hecht, Jeff. "A Simple Camera and an Algorithm Let You See around Corners". Scientific American. Retrieved 2020-07-02.
  16. ^ "Google Patents". patents.google.com. Retrieved 2020-07-02.
  17. ^ "Eli Jury Award". Berkeley EECS Department. Retrieved 2 July 2020.
  18. ^ "IEEE Signal Processing Society Signal Processing Magazine Best Paper Award" (PDF). Retrieved 2 July 2020.
  19. ^ "3dim wins MIT $100K Entrepreneurship Competition". MIT News. Retrieved 2 July 2020.
  20. ^ Cognazzo, Marco. "Best Paper Award and Best Student Paper Award Winners". IEEE International Conference on Image Processing. Retrieved 2 July 2020.
  21. ^ "Past Distinguished Lecturers". IEEE Signal Processing Society. Retrieved 2 July 2020.
  22. ^ "IEEE Signal Processing Society Best Paper Award" (PDF). IEEE Signal Processing Society. Retrieved 2 July 2020.
  23. ^ "Draper Fellow Earns Top Honors in Computational Photography". Draper Laboratory. 12 June 2018. Retrieved 2 July 2020.
  24. ^ "Inside Signal Processing Newsletter". IEEE Signal Processing Society. January 2020. Retrieved 2 July 2020.
  25. ^ "IEEE Signal Processing Society Young Author Best Paper Award" (PDF). Retrieved 15 July 2021.

External links[]

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