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.