Mohamed S. AbdelfattahAssistant Professor [ECE] [CSL] [CTECH] Cornell University mohamed@cornell.edu [cv] [bio] [office] |
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My research group is investigating how best to build the next generation of machine-learning-centric computer systems. We study methods to co-design and co-optimize neural networks and the hardware on which they run, with a special interest in reconfigurable computing using devices like FPGAs. Our goal is to enable efficient deep learning in both mobile devices and datacenters. Our current research projects include:
- New programmable hardware architectures based on FPGAs.
- Automated machine learning (AutoML) and neural network compression.
- Near-sensor machine learning for mobile devices.
- Pre- and post-processing in machine learning systems.
News
Apr 2022 | Mohamed gave a talk at the Crossroads FPGA seminar. |
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Jan 2022 |
Logic shrinkage paper accepted to FPGA’22 and nominated for the best paper award! ![]() |
Jan 2022 | Mohamed and Jordan joined the International Centre for Spatial Computational Learning. |
Jan 2022 |
Moved to NYC and started at Cornell Tech! ![]() ![]() |
Jan 2019 | Moved to the UK and started work at the Samsung AI Center in Cambridge. |
Aug 2016 | Defended my PhD and started work at Intel’s Programmable Solutions Group in Toronto. |