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Michael Elad holds a B.Sc. (1986), M.Sc. (1988) and D.Sc. (1997) in Electrical Engineering from the Technion, Israel Institute of Technology. After several years of industrial research, Michael served as a research associate at Stanford University during 2001-2003. Since 2003 he holds a permanent faculty position in the Computer-Science department at the Technion.

Michael Elad works in the field of signal and image processing, specializing in particular on inverse problems and sparse representations. Prof. Elad has authored hundreds of technical publications in leading venues, many of which have led to exceptionally high impact. He is the author of the 2010’s book “Sparse and Redundant Representations: From Theory to Applications in Signal and Image Processing”, which is a leading publication in this field.

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Phone:
+ 972 4 829 4169
Fax:
+ 972 4 829 4353 or 3900
Email:
E-mail
Office:
Taub building 711, Technion
Mailing Address:
Prof. Michael Elad
Computer Science Department
Technion City
3200003 Haifa, Israel
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December 1, 2018
I got the 2018 IEEE SPS Sustained Impact Paper Award
December 1, 2018
I got a 2018 IEEE SPS Best Paper Award
December 1, 2018
I got the 2018 IEEE SPS Technical Achievement Award
November 27, 2018
I have been selected (again) as a Clarivate Analytics Highly Cited Researcher
October 5, 2018
Co-charing SIAM Imaging Sciences 2020 in Toronto
June 5, 2018
2018 JVCI Best Paper Award
March 29, 2018
I have been selected as a Fellow of the Society for Industrial and Applied Mathematics (SIAM Fellow)
October 1, 2017
I am happy to bring to your attention a new Massive Open Online Course (MOOC)
July 8, 2017
My paper with Michal Aharon on image denoising stands at the top of the list in the Signal Processing category
May 6, 2017
SIAM News has posted my article "Deep, Deep Trouble"
December 18, 2016
I have been selected (again) as a Thomson-Reuters Highly Cited Researcher
October 19, 2016
Deep-LearningВ offering a highly effective paradigm for supervised classification and regression