Amnon Shashua
| Amnon Shashua | |
|---|---|
Amnon Shashua at the Hebrew University of Jerusalem
|
|
| Born |
Amnon Shashua May 26, 1960 |
| Alma mater |
Tel-Aviv University (B.S.) Weizmann Institute of Science (M.S.) Massachusetts Institute of Technology (Ph.D.) |
| Scientific career | |
| Fields | Artificial Intelligence |
| Institutions | Mobileye |
| Thesis | Geometry and Photometry in 3D Visual Recognition (1993) |
Amnon Shashua (Hebrew: אמנון שעשוע; born 26 May 1960) is a computer science professor at the Hebrew University in Jerusalem as well as co-founder and CTO of Mobileye (NYSE:MBLY) and co-founder of OrCam. As of the Intel acquisition of Mobileye in 2017, he serves as CEO and CTO of Mobileye, and Senior Vice President, Intel Corporation.
Shashua received his B.Sc in mathematics and computer science from Tel-Aviv University in 1985 and his M.Sc in computer science in 1989 from the Weizmann Institute of Science under the supervision of Shimon Ullman. His Ph.D in brain and cognitive sciences was received from the Massachusetts Institute of Technology (MIT), while working at the Artificial Intelligence Laboratory, in 1993; and his postdoctoral training under Tomaso Poggio at the center for biological and computational learning at MIT.
He has been on the computer science faculty at the Hebrew University of Jerusalem since 1996. In 1999 he was appointed as an associate professor and in 2003 received full professorship. Between the years 2002-2005 he was the head of the engineering and computer science school at the Hebrew University. Shashua currently holds the Sachs chair in computer science at the Hebrew University. Over the years, Shashua has published over 100 papers in the field of machine learning and computational vision.
His work includes early visual processing of saliency and grouping mechanisms, visual recognition and learning, image synthesis for animation and graphics, theory of computer vision in the areas of multiple-view geometry and multi-view tensors, multilinear algebraic systems in Vision and Learning and primal/dual optimization for approximate inference in MRF and Graphical models and since 2014 on deep layered networks.
...
Wikipedia