Mohamed S. AbdelfattahAssistant Professor [ECE] [CSL] [CT] Cornell University mohamed@cornell.edu [cv] [bio] [office] |
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.
- Pre- and post-processing in machine learning systems.
- Near-sensor machine learning for mobile devices.
News
Mar 2025 | BitMoD accepted to HPCA’25. |
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Nov 2024 | ShadowLLM accepted to EMNLP’24. |
Nov 2024 | BBS accepted to MICRO’24. |
Sep 2024 | FLIQS accepted to AutoML’24 and won best paper award! |
Sep 2024 | Kratos accepted to FPL’24. |
Aug 2024 | LLM Quantization (students’s t-distributions) accepted to ICML’24. |
Aug 2024 | Generative NAS accepted to ICML’24. |
Aug 2024 | NAS Encodings accepted to ICML’24. |
Jun 2024 | Beyond Inference accepted to DAC’24. |
May 2024 | NAS Latency Predictors accepted to MLSYS’24. |
May 2024 | PQA accepted to TRETS and FCCM’24. |
Jan 2024 | Mohamed received the NSF CAREER Award to codesign efficient LLM HW/SW and algorithms. |
Jan 2024 | Mohamed gave a talk at Qualcomm Research on efficient on-device AI. |
Dec 2023 | Mohamed gave talks at Yale University and KAUST on efficient machine learning. |
Oct 2023 | M4BRAM accepted to FPT’23. |
Jul 2023 | DiviML accepted to ICCAD’23. |
Jun 2023 | Our group received a NSF Award to study fine-grained DNN sparsity. |
May 2023 | Multi-Predict accepted to AutoML’23. |
May 2023 | Mohamed participated on a panel titled “Efficient Scaling of LLMs” at FCCM’23. |
Apr 2023 | BRAMAC accepted to FCCM’23. |
Feb 2023 | Zero-Cost Operation Scoring accepted to AAAI. |
Feb 2023 | Our extended work on Logic Shrinkage has been accepted to TRETS. |
Dec 2022 | Mohamed gave talks at Zewail UST, Rutgers Efficient AI Seminar, Untether AI, and FAI Summit. |
Oct 2022 | BLOX accepted to NeurIPS’22 D&B Track. |
Oct 2022 | Our group received an Intel grant to study hardware-accelerated DNN inference |
Sep 2022 | Adaptable Butterfly Accelerator paper accepted to MICRO’22. |
Sep 2022 | Mohamed gave a keynote at the International Symposium for Applied Reconfigurable Computing. |
Sep 2022 | Mohamed gave a talk at the AutoML seminar. |
Aug 2022 | Our group received a Meta Research Award in Networking for AI. |
Apr 2022 | Mohamed gave a talk at the Crossroads FPGA seminar. |
Mar 2022 | We received a TCS Research Award to study heterogeneous DNN computing. |
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. |