Regular biography
Mohamed Abdelfattah is an Assistant Professor in the Department of Electrical Engineering at Cornell University. His research interests are not explicitly detailed in the provided information. His profile page is available at https://www.duffield.cornell.edu/people/mohamed-abdelfattah/, and he can be contacted via email at mohamed@cornell.edu.
Scholar-generated biography
Mohamed S. Abdelfattah is a researcher at Cornell University specializing in Machine Learning and Reconfigurable Computing. His work focuses on optimizing neural network inference through hardware-software co-design, particularly using Field Programmable Gate-Arrays (FPGAs). He explores techniques such as neural architecture search (NAS), attention-based neural networks, and efficient data compression for embedded systems. His research also addresses challenges in hardware acceleration for large-scale models, including diffusion language models and transformer-based architectures. Abdelfattah's contributions span from algorithmic innovations to practical implementations on reconfigurable hardware, emphasizing performance, energy efficiency, and adaptability in real-world applications.