
An expert in the development and implementation of smart, useful, and ground-breaking computer vision systems in a research environment with high uncertainty. Responsible for leading a team of algorithm developers and programmers while creating harmony, focus, rapid learning and accelerated implementation. Doing this for twenty years, half of them in academia and half of them in industry.
I help engineers over achieve in their work by teaching them effective task, time, team and research management practices that have been tested and validated in my 20 years of experience in the industry and academia.
ABOUT ME
I received B.Sc. in electric and computer engineering, M.Sc. in electro-optical engineering, and Ph.D. in electric and computer engineering from Ben-Gurion University of the Negev, Beersheba, Israel, in 2005, 2011 and 2018, respectively. I developed different aspects of the camera CMOS image sensor as a hardware engineer between 2005 and 2007 at the VLSI center, and as an algorithm developer between 2010 and 2012 at Intel. I've worked in foresight automotive as a machine learning research scientist from 2018 to 2020. I'm currently a machine vision researcher and team leader at Elbit Sytems. My research interests include real-time light invariant video cameras, application of the theory of relativity in color image processing, underwater color constancy and the use of quaternions in image processing.

RESEARCH INTERESTS
EDUCATION
2013 - 2018
Depeartment of Computer and Electric Engineering Ben Gurion University of the NEGEV
Ph.D. Thesis on Underwater Video Color Correction Using Modulated Light
2007-2009
Depeartment of Elctro-Optical Engineering Ben Gurion University of the NEGEV
M.Sc. Thesis on automatic color image quality index using quaternions
2000 - 2005
Depeartment of Computer and Electric Engineering Ben Gurion University of the NEGEV
B.Sc.