Topic
Abstract
In this talk we present the development of intelligence (vs intelligent) implementations from top-down and bottom-up approaches and from Electrical engineering design and Biological Biomimicry to Solid-state Physics prediction. Inspired by the Human Visual System, we postulated that intelligent vision requires embedding intelligence at the image signal acquisition and along the path to the visual cortex and beyond when involving image recall and pattern recognition. A feedback loop of this path might be deemed necessary if a full fetched image understanding and “intelligence extraction” is required. To start the above path, Smart CMOS imaging was chosen as the application of choice where multi-disciplinary research tracks need to interact suggesting a novel approach for research to design intelligent imaging system. We will provide our experience of this endeavor hoping to inspire other researchers to continue this promising track to build Artificial Intelligent Imaging (AI2) systems for a wide variety of applications where human vision needs assistance from an intelligent
imaging system for biomedical, automotive and security applications to name a few.
Biography:
Dr. Fayçal Saffih (IEEE Member since 2000) received the B.Sc. (with Best Honors) degree in Solid-State Physics from the University of Sétif-1, Sétif, Algeria, in 1996, the M.Sc. degree in Digital Neural networks from Physics Department, University of Malaya, Kuala Lumpur, Malaysia, in 1998, and the Ph.D. degree in Smart CMOS Imaging from Electrical and Computer Engineering Department, University of Waterloo, Waterloo, ON, Canada. Taking a decade journey between academia and industry, Dr. Saffih enriched his experience multi- dimensionally spanning Microelectronics from devices up-to systems, and industry from R&D department to
Entrepreneurship start-up, all of which from West USA (OR) to Singapore’s restigious A*star Agency for Science, Technology and Research. Recently, Dr. Saffih endeavored into renewable energy research and business starting from Stanford certification in 2013 and currently undertaking an Online program from Renewables Academy (RENAC), Germany. Dr. Faycal Saffih is currently on the faculty of the Electrical Engineering Department of the UAE University and a regular visiting scholar at the University of Waterloo, University of Alberta among others. His research is on intelligence extraction and implementation on devices and systems particularly smart CMOS image sensors