Mohamed Abdelfattah is an assistant professor of electrical and computer engineering at Cornell Tech and Cornell Engineering. His research interests include deep learning systems, automated machine learning, hardware-software co-design, and reconfigurable computing. Abdelfattah’s goal is to design the next generation of machine-learning-centric computer systems for both data centers and mobile devices.
Abdelfattah received his B.Sc. from the German University in Cairo, his M.Sc. from the University of Stuttgart, and his Ph.D. from the University of Toronto. His Ph.D. was supported by the Vanier Canada Graduate Scholarship, and he received three best paper awards for his work on embedded networks-on-chip for Field Programmable Gate Arrays (FPGAs).
His Ph.D. work garnered significant industrial interest and has since been adopted by multiple semiconductor companies in their latest FPGAs. After his Ph.D., Abdelfattah spent time at Intel’s programmable solutions group and, most recently, at Samsung, where he led a research team focused on hardware-aware automated machine learning. In 2025, Abdelfattah co-founded Mako, a startup focused on optimizing Graphics Processing Unit (GPU) computing efficiency.