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SUMMARY:Artificially Intelligent Imaging (AI2): System to Circuit to Device Level Implementations of Smart CMOS Imaging\, A Generalized Approach for Non-Application Specific Intelligence Design (NAS-ID)
DESCRIPTION:August 11\, 2016 at 1:00 p.m. Dr. Faycal Saffih\, Department of Electrical Engineering\, UAE University\, will be presenting “Artificially Intelligent Imaging (AI2): System to Circuit to Device Level Implementations of Smart CMOS Imaging\, A Generalized Approach for Non-Application Specific Intelligence Design (NAS-ID)”. \nSpeaker: Dr. Faycal Saffih\nAssistant Professor\, Department of Electrical Engineering\nUAE University \nDay & Time: Thursday\, August 11\, 2016\n1:00 p.m. – 2:00 p.m. \nLocation: Room ENGLG 05\nGeorge Vari Engineering Building\nDepartment of Electrical and Computer Engineering\nRyerson University \nContact: Dimitri Androutsos \nAbstract: In this talk we will 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. Smart CMOS imaging is the application of choice where these multi-disciplinary studies interacts to suggest a novel approach for research to design intelligent devices needed in a verity of advanced technological devices and systems for a variety of applications such as biomedical and renewables systems and devices to name a few. \nBiography: 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 multidimensionally 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 prestigious 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 an assistant professor at 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.
URL:https://www.ieeetoronto.ca/event/artificially-intelligent-imaging-ai2-system-to-circuit-to-device-level-implementations-of-smart-cmos-imaging-a-generalized-approach-for-non-application-specific-intelligence-design-nas-id/
LOCATION:Room ENGLG 05 George Vari Engineering Building
CATEGORIES:Signal Processing
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