Alex M. Bronstein

School of Electrical Engineering
Faculty of Engineering
Tel Aviv University
Ramat Aviv 69978, Israel
Room #119, EE Labs building
Tel. +972-(0)3-6405645
Cell. +972-(0)549-844329

E-mail: bron@eng.tau.ac.il
Skype: abronstein

TOSCA Research Publications Talks Teaching Technology Press Misc

Dr. Alex Bronstein was born in 1980. He received the B.Sc. and M.Sc. (both summa cum laude) from the Department of Electrical Engineering in 2002 and 2005, and Ph.D. from the Department of Computer Science, Technion in 2007. In 2010, Dr. Alex Bronstein has joined the Department of Electrical Engineering at Tel Aviv University, where he currently heads the Digital Signal Processing laboratory. His main research interests are theoretical and computational methods in metric geometry and their application to problems in computer vision, pattern recognition, shape analysis, computer graphics, image processing, and machine learning. He has authored over 60 publications in leading journals and conferences, over a dozen of patents and patent applications, and the book Numerical geometry of non-rigid shapes (published by Springer). His h-index is 26. Alex Bronstein is the alumnus of the Technion Excellence Program and the Academy of Achievement, and a member of the IEEE. His research was recognized by numerous awards, including the Kasher prize (2002), Thomas Schwartz award (2002), Hershel Rich Technion Innovation award (2003), Gensler counter-terrorism prize (2003), the Copper Mountain Conference on Multigrid Methods Best Paper award (2005) and the Adams Fellowship (2006), and the Krill Prize by Wolf Foundation (2012). Highlights of his research were featured in CNN, SIAM News, and in Prof. Guillermo Sapiro's Science Lecture "One small step for Gromov, one giant leap for shape analysis" that he gave in Oslo on the occasion of awarding Prof. Mikhail Gromov the 2009 Abel Prize, considered the "Nobel of Math". Besides scientific awards, Alex received the Technion Humanities and Arts Department prize (2001) for the translation of Shakespearean sonnets into Italian. He co-chaired the IEEE International Workshop on Non-rigid shapes and deformable image alignment (NORDIA) in 2008-2011, the International Conference on n Scale Space and Variational Methods in Computer Vision (SSVM) in 2011, served as the program chair of the Eurographics Workshop on 3D Object Retrieval (3DOR) in 2012, area chair of the IEEE Asian Conference on Computer Vision (ACCV) in 2010, and participated in program committees of major conferences in his field. Dr. Bronstein held visiting appointments in Politecnico di Milano (2008), Stanford university (2009), and Verona University (2010). In addition to his academic activities, he was a co-founder of a Silicon Valley startup Novafora, Inc., where he served from 2004 till 2009 as a scientist and a Vice President of video technology, leading a group of researchers and engineers in developing novel Internet-scale video analysis technologies. Dr. Bronstein was one of the principal technologists and inventors of the 3D acquisition technology in the foundation of the Israeli startup company Invision acquired by Intel Corporation in 2011.



The book

NORDIA workshops

Deformable shapes


In the news




Video Genome

ShapeGoogle

Non-rigid shape analysis

3D face recognition




UPCOMING:
New dimensions of media, Tel Aviv University, Department of Electrical Engineering Open Day. 3pm December 16th, 2010, Engineering Classes building, room 101.

Recent tutorial
Diffusion geometry in shape analysis, ECCV, Heraklion, Crete, Greece, 5 September, 2010.

Short course
Numerical geometry of non-rigid objects
ICCV, Kyoto, Japan, 28 September 2009.
Available on video

Numerical geometry of non-rigid shapes, Mini-tutorial, SIAM Conference on Imaging Sciences, Chicago, USA, April 2010.

Long course
Processing and analysis of geometric shapes
Department of Electrical Engineering, Tel Aviv University, Spring 2010 semester.

Numerical geometry of non-rigid shapes
VIPS course, University of Verona, Italy, April 2010.

Past offerings

Video lectures