Artificially Intelligent Imaging (AI2): Application through Circuits, Systems and Devices Implementations of Smart CMOS Imaging
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.
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, in 2005. In 2006, he joined the Communication Research Laboratory, McMaster University, Hamilton, ON, where he developed a versatile FPGA-based prototype for biomedical smart imaging application known as the wireless endoscopic capsule. Dr. Faycal Saffih joined Voxtel Inc., OR, USA, as Senior Analog Active Pixel Sensor engineer, designing imagers based on Silicon-On-Insulator complementary metal–oxide–semiconductor (SOI-CMOS) technology for the next generation of CMOS imagers, namely, for RAD-HARD, high-energy physics detection, and electronic microscopy imaging. From 2009 until 2012, he joined KAUST as Research Fellow where incepted his invention on Smart Nano-photonic devices dedicated for imaging and solar energy harvesting.
Dr. Saffih endeavored into renewable energy getting the “Energy Innovation and Emerging Technologies Certificate” from Stanford University in 2013 and currently undertaking a program of “Certified Renewable Energy Project Developer” from Renewables Academy (RENAC), Germany
Dr. Faycal Saffih is currently an assistant professor at the Electrical Engineering Department of the UAEU University. He is also an adjunct professor at the University of Guelph and a regular visiting scholar at the University of Waterloo and University of Alberta. His international outreach is growing starting collaboration with the Institute of Microelectronics at Tsinghua University, Beijing, China and supervised and graduated a PhD student from school of instrument science & opto-electronics engineering, Beihang University (BUAA), China.
His research is on intelligent devices particularly smart CMOS image sensors dedicated for High-resolution Low light imaging, video communications, medical and space imaging in addition to his interest on high-efficiency smart solar energy harvesting for future Photovoltaic devices and systems.