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, the use of quaternions in image processing and anomaly detection in visionary sensors.
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.
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.
2016, 2020
[8] A Kolaman, H Guterman, R Hagege, "Methods of producing video images that are independent of the background lighting" US Patent 10,630,907
[7] Amir Kolaman, Rami Hagege and Hugo Guterman, "Light Invariant Video Camera - Making Faces Appear the Same Under any Light Conditions", 2016 ICSEE International Conference on the Science of Electrical Engineering
[6] Amir Kolaman, Maxim Levov, Rami Hagege and Hugo Guterman, " Amplitude Modulated Video Camera - Light Separation in Dynamic Scenes", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
https://kolaman6.wixsite.com/amir
