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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.

Underwater Color Constancy

Ensure that the color of the object inside and outside of water would appear the same

RESEARCH INTERESTS

Light Invariant Video Systems

Creating Video Cameras that are robust to light changes

Theory of relativity in color image processing

Appliying the principles of finiteness in color image processing

Applications of Quaternions in Image Processing

Using Mathematics Invented by Hamilton to improve  color vision algorithms

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.

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