
Ibrahim, Mohamed

Assistant Professor
EDUCATION
PhD – Duke University, USA, 2018;
MSc(ECE) – Duke University, USA, 2017;
MSc(EE) – Ain Shams University, Egypt, 2013;
BSc(EE) – Ain Shams University, Egypt, 2010
OVERVIEW
Dr. Mohamed Ibrahim joined the Erik Jonsson School of Engineering and Computer Science as an Assistant Professor in the Department of Electrical and Computer Engineering. Prior to joining UT Dallas, he was a Research Faculty Member at the Georgia Institute of Technology and a Postdoctoral Researcher at the University of California, Berkeley. He also spent three years in the semiconductor industry, where he has worked on various system-on-chip designs.
Dr. Ibrahim received his Ph.D. and MSc degrees in Electrical and Computer Engineering from Duke University in 2018 and 2017, respectively. His doctoral work has been recognized with the Council of Graduate Schools/ProQuest Distinguished Dissertation Award and Duke ECE’s Outstanding Dissertation Award. His research focuses on the co-design of algorithms, systems, and energy-efficient hardware to enable adaptive, reliable, and trustworthy embodied AI. Drawing inspiration from biological systems, he develops integrated solutions that combine brain-inspired computing, embedded cyber-physical integration, and VLSI AI hardware. His interdisciplinary approach emphasizes real-time learning, energy efficiency, and long-term system sustainability. Dr. Ibrahim has co-authored two books and published several journal and conference papers in these areas.
Dr. Ibrahim has received multiple honors, including a Best Paper Award at DATE 2017, and actively contributes to the research community through technical program committee service at ICCAD, DATE, ASP-DAC, and ASAP, as well as extensive journal reviewing.
Research Interests
Brain-inspired computing, embodied intelligence, embedded systems and cyber-physical integration, domain-specific architectures, energy-efficient VLSI AI hardware.