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Mohamed Abdelfattah is an Assistant Professor at Cornell Tech in the School of Electrical and Computer Engineering at Cornell University. His research interests lie in deep learning systems, automated machine learning, hardware-software codesign, and reconfigurable computing, specifically focusing on FPGA architecture. Mohamed's work aims to design machine-learning-centric computer systems for datacenters and mobile devices. He received his B.Sc. from the German University in Cairo, followed by an M.Sc. from the University of Stuttgart, and completed his Ph.D. at the University of Toronto. His doctoral studies, which involved research on embedded networks-on-chip FPGAs, garnered industrial interest and were adopted by multiple semiconductor companies for their latest FPGAs. After completing his Ph.D., Mohamed spent time in Intel's programmable solutions group and at Samsung, where he led a research team focusing on hardware-aware automated machine learning.
Department of Architecture