Rate My Professor Muhammad Shafique

His research interests encompass brain-inspired computing, AI and machine learning hardware and system-level design, energy-efficient systems, robust computing, hardware security, emerging technologies, FPGAs, MPSoCs, and embedded systems, emphasizing cross-layer analysis, modeling, design, and optimization of computing and memory systems for applications in Internet-of-Things (IoT), smart Cyber-Physical Systems (CPS), and ICT for Development (ICT4D). Dr. Shafique holds one U.S. patent and has co-authored 6 books, over 10 book chapters, and more than 250 papers in premier journals and conferences. Key publications include award-winning works such as “R2Cache: Reliability-Aware Reconfigurable Last-Level Cache Architecture for Multi-Cores” (CODES+ISSS 2015 Best Paper Award), “TSP: Thermal Safe Power – Efficient Power Budgeting for Many-Core Systems in Dark Silicon” (CODES+ISSS 2014 Best Paper Award), “Low-overhead Aging-aware Resource Management on Embedded GPUs” (DAC 2017), and others recognized at DATE, DAC, and ICCAD. He has received the 2015 ACM/SIGDA Outstanding New Faculty Award, 2020 AI 2000 Chip Technology Most Influential Scholar Award, two IEEE Transactions on Computers “Feature Paper of the Month” Awards, multiple best paper awards and nominations, DAC'14 Designer Track Best Poster Award, and a Best Lecturer Award. A Senior Member of IEEE and IEEE Signal Processing Society, he has delivered keynotes, invited talks, and tutorials, and served as PC Chair, General Chair, Track Chair, and PC member for prestigious IEEE/ACM conferences.