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Mehdi Sadi (Member, IEEE) received the B.S. degree from Bangladesh University of Engineering and Technology, Dhaka, Bangladesh, in 2010, the M.S. degree from the University of California at Riverside, Riverside, CA, USA, in 2011, and the Ph.D. degree in electrical and computer engineering (ECE) from the University of Florida, Gainesville, FL, USA, in 2017.
He was a Senior Research and Development SoC Design Engineer with the Xeon Server CPU Design Team, Intel Corporation, Hillsboro, OR, USA. He is currently an Assistant Professor with the Department of Electrical and Computer Engineering (ECE), Auburn University, Auburn, AL, USA. His research focus is on developing algorithms and computer-aided-design (CAD) techniques for implementation, design, reliability, and security of artificial intelligence (AI), and brain-inspired computing hardware. He has published more than 20 peer-reviewed research articles. His research also spans into developing machine learning-/AI-enabled design flows for System-on-Chip (SoC) and design-for-robustness for safety-critical AI hardware systems.
Dr. Sadi was a recipient of the Semiconductor Research Corporation Best in Session Award and the Intel Xeon Design Group Recognition Awards.
研究兴趣
论文共 32 篇作者统计合作学者相似作者
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CoRR (2024)
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GLSVLSI '23: Proceedings of the Great Lakes Symposium on VLSI 2023pp.697-702, (2023)
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Chunli Tang,Laith Alahmed, Jihao Xu,Maokang Shen, Nicholas Alex Jones,Mehdi Sadi,Ujjwal Guin,Wenfeng Zhao,Peng Li
arxiv(2021)
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arXiv (Cornell University) (2021)
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