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Ronen Basri                                               רונן בצרי

Ronen Basri

Professor, incumbent of the Elaine and Bram Goldsmith Chair of Applied Mathematics


Weizmann Institute of Science

Dept. of Computer Science and Applied Math.
Ziskind building, room 227) 
Rehovot, 76100 ISRAEL


Phone: +972-8-9342809

Fax: +972-8-9342945

E-mail: ronen dot basri at weizmann dot ac dot il


Areas of Interest


Computer vision

- Visual object recognition

- Lighting and reflectance models

- Image segmentation

- Edge detection and perceptual grouping

- Motion perception

- Biomedical applications


In addition I am interested in

- Cognitive studies of human vision

- Machine learning

- Computer graphics

- Autonomous navigation

- Data mining and bioinformatics



- The Moross Laboratory for Vision and Robotics

- Computer vision courses

Short Bio


I received my B.Sc. in Mathematics and Computer Science from Tel Aviv University in 1986 and Ph.D. in Computer Science from the Weizmann Institute of Science in 1991. I later was a postdoctoral fellow at the Massachusetts Institute of Technology in the Department of Brain and Cognitive Science and the Artificial Intelligence Laboratory. Since 1992 I have been affiliated with the Weizmann Institute of Science in the Department of Computer Science and Applied Mathematics where I am currently holding the position of Professor. At the Weizmann Institute I served as the Chair of the Board of Studies for the Faculty of Mathematics and Computer Science between 2004 and 2006, and in 2007 I served as Chair for the Department of Computer Science and Applied Mathematics. I took visiting positions at NEC Research Institute in Princeton, New Jersey (1999-2000), Toyota Technological Institute at Chicago and the University of Chicago (2007-2009), and the Janelia Farm Campus of the Howard Hughes Medical Institute (2009-2011). Between 2002 and 2006 I further served as an Associate Editor for the IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) and as Area Chair for the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), the IEEE Int. Conference on Computer Vision (ICCV), and the European Conference on Computer Vision (ECCV).

My research has focused on computer vision, especially in the areas of image segmentation, shape reconstruction, and object recognition. In particular, I developed methods for analyzing the effect of lighting on images, as well as multiscale algorithms for segmentation and edge detection and region-based pose estimation techniques. My work deals with the design of algorithms, analysis, and implications to human vision.