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Mohamed S. Abdelfattah is an Assistant Professor at Cornell Tech specializing in machine learning-centric computer systems. His research group focuses on the co-design and co-optimization of neural networks and hardware, with a particular emphasis on reconfigurable computing. His research aims to enable efficient deep learning for mobile devices and data centers. Current projects include automating machine learning processes, compressing neural networks, and developing new hardware architectures for machine learning, especially based on Field-Programmable Gate Arrays (FPGAs). Abdelfattah has contributed to various prominent conferences and has received accolades for his research, including the NSF CAREER Award. He has also held positions at notable institutions such as Samsung AI Center and Intel’s Programmable Solutions Group. Abdelfattah continues to be involved in advancing the capabilities of machine learning and AI through innovative hardware design and educational endeavors.
Cornell Tech • New York, NY
Teaching and conducting research in electrical and computer engineering, focusing on machine learning and neural network optimization.
Mako •
Leading innovative research in machine learning and computer architectures.
Samsung AI Center • Cambridge, UK
Conducted research on efficient AI solutions.
Intel's Programmable Solutions Group • Toronto, Canada
Worked on programmable solutions in machine learning applications.
Department of Architecture