{"id":28202,"date":"2020-04-08T21:06:01","date_gmt":"2020-04-09T01:06:01","guid":{"rendered":"https:\/\/www.bu.edu\/cise\/?p=28202"},"modified":"2022-05-26T12:03:33","modified_gmt":"2022-05-26T16:03:33","slug":"goyal-wins-ieee-signal-processing-society-best-paper-award","status":"publish","type":"post","link":"https:\/\/www.bu.edu\/cise\/goyal-wins-ieee-signal-processing-society-best-paper-award\/","title":{"rendered":"Goyal Wins IEEE Signal Processing Society Best Paper Award"},"content":{"rendered":"
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CISE faculty affiliate Vivek Goyal is Professor of Electrical and Computer Engineering at Boston University<\/figcaption><\/figure>\n

Boston University ECE professor Vivek Goyal was awarded a 2019 IEEE Signal Processing Society Best Paper Award for his work on \u201cPhoton-Efficient Computational 3-D and Reflectivity Imaging With Single-Photon Detectors\u201d paper. The paper, which was co-authored with Goyal\u2019s students Dongeek Shin and Ahmed Kirmani along with Professor Jeffrey Shapiro of MIT, was published in the IEEE Transactions on Computational Imaging in 2015. The award is for papers of \u201cexceptional merit\u201d that appeared in any of the IEEE Signal Processing Society\u2019s journals between 2013 and 2018. The award will be publicly presented at the 45th IEEE International Conference on Acoustics, Speech, and Signal Processing, a flagship conference of the Society. The conference and award presentation will be held remotely for the first time on May 4-9, 2020.<\/p>\n

Goyal\u2019s paper describes models, methods and a thorough evaluation of high-quality 3-D and reflectivity imaging with extreme photon efficiency of about 1 detected signal photon per pixel despite significant ambient light. This is in contrast to traditional methods that require hundreds of detected photons per pixel. For years, detectors with single-photon sensitivity have been used to measure histograms of detection times, which are subsequently processed as noisy discrete-time versions of the received waveform. Goyal\u2019s work shows that photon-by-photon modeling combined with appropriate regularization and a method for approximately unmixing the signal and noise components in the detections can provide a 20-fold depth error reduction over state-of-the-art results.<\/p>\n

The awarded paper is just one in a sequence of works from Goyal\u2019s team that have upended the thinking of what is possible in photon-efficient imaging, but the innovation does not stop here. In another recent research thrust, Goyal is questioning a bit of conventional wisdom. It is generally believed that if one wants to use the timings of detections of single photons \u2014 such as for 3D imaging \u2014 it is important to make the detections infrequent enough that detector dead times are unimportant. Goyal\u2019s team showed that the estimation biases that occur because of detector dead times can be completely avoided (by using the right mathematics and algorithms), so the effects of dead times do not have to be avoided. If it isn\u2019t important to avoid dead times, then the image collection can be a lot faster, in some cases as much as 20 times faster. To build upon this idea, Goyal recently won a Google Research Award for a project entitled \u201cInformation Processing Foundations for Single-Photon Detectors.\u201d<\/p>\n

To date, Professor Goyal has won several awards for his outstanding research, such as the 2017 IEEE Signal Processing Society Best Paper Award and six conference best paper awards. He is an IEEE and OSA Fellow.<\/p>\n

Read the paper here.<\/a><\/strong><\/p>\n

Dongeek Shin, Ahmed Kirmani, Vivek K Goyal, and Jeffrey H. Shapiro, for \u201cPhoton-Efficient Computational 3-D and Reflectivity Imaging With Single-Photon Detectors.\u00a0IEEE Transactions on Computational Imagaging<\/em>, Volume 1, No. 2, June 2015.\u00a0DOI:\u00a010.1109\/TCI.2015.2453093<\/a><\/h5>\n

 <\/p>\n","protected":false},"excerpt":{"rendered":"

Boston University ECE professor Vivek Goyal was awarded a 2019 IEEE Signal Processing Society Best Paper Award for his work on \u201cPhoton-Efficient Computational 3-D and Reflectivity Imaging With Single-Photon Detectors\u201d paper. The paper, which was co-authored with Goyal\u2019s students Dongeek Shin and Ahmed Kirmani along with Professor Jeffrey Shapiro of MIT, was published in the […]<\/p>\n","protected":false},"author":18605,"featured_media":30913,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[26,127],"tags":[147],"_links":{"self":[{"href":"https:\/\/www.bu.edu\/cise\/wp-json\/wp\/v2\/posts\/28202"}],"collection":[{"href":"https:\/\/www.bu.edu\/cise\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.bu.edu\/cise\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/cise\/wp-json\/wp\/v2\/users\/18605"}],"replies":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/cise\/wp-json\/wp\/v2\/comments?post=28202"}],"version-history":[{"count":7,"href":"https:\/\/www.bu.edu\/cise\/wp-json\/wp\/v2\/posts\/28202\/revisions"}],"predecessor-version":[{"id":35994,"href":"https:\/\/www.bu.edu\/cise\/wp-json\/wp\/v2\/posts\/28202\/revisions\/35994"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/cise\/wp-json\/wp\/v2\/media\/30913"}],"wp:attachment":[{"href":"https:\/\/www.bu.edu\/cise\/wp-json\/wp\/v2\/media?parent=28202"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.bu.edu\/cise\/wp-json\/wp\/v2\/categories?post=28202"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.bu.edu\/cise\/wp-json\/wp\/v2\/tags?post=28202"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}