Elad holds a B.Sc. (1986), M.Sc. (1988) and D.Sc. (1997) in Electrical Engineering from the Technion - Israel Institute of Technology. His M.Sc., under the guidance of Prof. David Malah, focused on video compression algorithms; His D.Sc. on super-resolution algorithms for image sequences was guided by Prof. Arie Feuer.
After several years (1997–2001) of industrial research in Hewlett-Packard Lab Israel and in Jigami, Elad took a research associate position at Stanford University from 2001 to 2003, working closely with Prof. Gene Golub (CS-Stanford), Prof. Peyman Milanfar (EE-UCSC) and Prof. David Donoho (Statistics-Stanford).
In 2003, Elad assumed a tenure-track faculty position in the Technion's computer science department. He was tenured and promoted to associate professorship in 2007, and promoted to full-professorship in 2010. The following is a list of is editorial activities during his academic career:
Associate editor for IEEE-Transactions on Image Processing (2007–2011)
In 2017, Elad and Yaniv Romano (his PhD student) created a specialized MOOC on sparse representation theory, given under edX.
During the years 2015-2018, Elad headed the Rothschild-Technion Program for Excellence]. This is an undergraduate program at the Technion, meant for exceptional students with emphasis on tailored and challenging study tracks.[citation needed]
Awards and recognition
2014 - SIAG Imaging-Science best paper prize for his 2009 SIAM Review paper[3] with Donoho and Bruckstein.
2018 - SIAM Fellow[4] (for contributions to the theory and development of sparse representations and their applications to signal and image processing).
2018 - The SPS best paper award for his paper on the Analysis K-SVD[5]
