Prof. Mahmoud Al Qutayri is the Associate Provost for Academic Operations at Khalifa University and Professor of Electrical Engineering and Computer Science. He is also affiliated with the Khalifa University System-on-Chip Center, which focuses on the design of high-performance and energy-efficient electronic devices and systems for a wide range of applications.
Dr. Al Qutayri has extensive experience in the various aspects of engineering education at the undergraduate as well as graduate levels. Prior to joining Khalifa University, he worked at Etisalat College of Engineering (which subsequently became part of Khalifa University), De Montfort University, UK, and the University of Bath, UK. He also worked for a short period at Philips Semiconductors, Southampton, UK. Dr. Al Qutayri has authored or co-authored numerous technical papers in peer-reviewed journals and international conferences. He has also co-authored a book entitled "Digital Phase Lock Loops: Architectures and Applications" and has edited a book entitled "Smart Home Systems." This is in addition to a number of book chapters and patents.
His current research interests include embedded systems and computer architecture, in-memory computing and emerging memory technologies, energy-efficient IoTs (Internet of Things), efficient edge computing and artificial intelligence hardware implementation, mixed-signal integrated circuits, and wireless sensor networks.
Dr. Al Qutayri's professional services include serving on the editorial board of some journals, as well as membership of the steering, organizing, and technical program committees of many international conferences. Some of the conferences that he was involved in organizing include GLOBECOM, ICIP, ICECS, ISSPA, and MWCAS.
AI Accelerators Hardware
This project is focused on the design of hardware chips that can run artificial intelligence and machine learning applications efficiently. Such devices are of paramount importance for edge and mobile computing. Some of the applications that benefit from AI Accelerators hardware include machine vision, security, UAVs (unmanned aerial vehicles), and autonomous driving vehicles.
