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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 the years 2001-2003. Since 2003 he holds a permanent faculty position in the Computer-Science department at the Technion. Prof. Elad also holds a courtesy appointment in the Technion’s Electrical & Computer Engineering (ECE) Departement.

Michael Elad works in the fields of signal and image processing and machine learning, specializing in particular on inverse problems, sparse representations, deep learning, and generative models. Prof. Elad has authored hundreds of technical publications in leading venues, many of which have led to exceptionally high impact.

+ 972 4 829 4169
+ 972 4 829 4353 or 3900
Taub building 711, Technion
Mailing Address:
Prof. Michael Elad
The Henry and Marilyn Taub Faculty of Computer Science
Technion City
3200003 Haifa, Israel
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July 20, 2024
I got the Rothschild Award for exceptional scientific achievements in Engineering
May 23, 2024
I was elected to the Israeli National Academy of Sciences
December 30, 2021
I got the Weizmann Award for my contributions in Sparse Modeling
November 28, 2021
My talk in IMVC 2021 is available on YouTube
March 2, 2021
Two Articles of mine in SIAM News
August 2, 2020
SIAM Confernece on Imaging Sciences 2020 - A Great Success
May 4, 2019
See this panel discussion in IMVC 2019 on the future of Deep Learning
December 1, 2018
I have been awarded 2018 IEEE SPS Sustained Impact Paper Award
December 1, 2018
I have been awarded a 2018 IEEE SPS Best Paper Award
December 1, 2018
I have been awarded 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