
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.
Research Booster
“Your M.Sc. subject is not suitable for a thesis… you can forget about continuing to Ph.D. studies “
True Story! This message was said to me by one of the board members during my final M.Sc. thesis presentation! I have just started as an intern at Intel planning to start my Ph.D. - then this message came! I was frustrated and lost and didn't know what to do, and how to continue.
Working in the industry I discovered a working method on how to do better, faster, and easier research. I Implemented this method and launched my research career by publishing a paper in a high-ranking journal with 140 citations and retook my final M.Sc. exam and finished successfully. Using this method I published total of 7 papers, one of them in the most famous and influential conference in the world - Computer Vision and Pattern Recognition (CVPR), and got a Ph.D.
I have total experience of 20 years in research and development (R&D) - about half in the academia and half in the industry. In my recent 5 years in the industry, I've learned even more powerful techniques – and perfected my research methodology which I call the "peer research booster".
The "peer research booster" have the potential to extremely boost academic research output of grad students (M.Sc., Ph.D.) and researchers. I'd love to share this knowledge and help boost Research ideas, peer feedback, presentations, and papers.
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