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Bio
Shuchin Aeron (Senior Member, IEEE) received the Ph.D. degree from Boston University, in 2009, where he received the best thesis awards from both the Department of ECE and the School of Engineering. He is an Associate Professor with the Department of Electrical and Computer Engineering at Tufts School of Engineering. He was a recipient of Dean's fellowship and a Schlumberger-Doll research grant in support of the Ph.D. research. From 2009 to 2022, he was a Postdoctoral Research Fellow at Schlumberger-Doll Research (SDR), where he worked on signal processing solution products for borehole acoustics leading to multiple patents. His research interests are in signal processing, information theory, tensor data analytics, statistical machine learning, and optimal transport with applications and impact in a number of domains ranging from geopyhics, imaging, natural language processing, cognitive sciences, bioinformatics, and high energy physics. In 2016, he received the NSF CAREER award supporting his research in tensor algebraic methods for data analytics. He was a Visiting Faculty at Mitsubishi Electric Research Laboratories (MERL), in 2019. He is an Associate Editor for IEEE Transactions on Geosciences and Remote Sensing (TGRS) since 2018.
Research Interests
Papers共 159 篇Author StatisticsCo-AuthorSimilar Experts
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2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP)pp.1-6, (2023)
TAG-MLpp.384-403, (2023)
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arXiv (Cornell University) (2023)
CoRR (2023): 1-5
2023 IEEE SENSORSpp.1-4, (2023)
IEEE Transactions on Information Theoryno. 99 (2023): 1-1
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