Rate My Professor Muhammad Shafique

Muhammad Shafique is Professor of Computer Engineering in the Division of Engineering at New York University Abu Dhabi (NYUAD), where he joined in September 2020, and Global Network Professor of Electrical and Computer Engineering at NYU Tandon School of Engineering. He earned his Ph.D. in Computer Science from Karlsruhe Institute of Technology (KIT), Germany, in 2011 (magna cum laude), M.Sc. in Information Technology from Pakistan Institute of Engineering and Applied Sciences (PIEAS) in 2003, securing two gold medals and the best thesis award, and B.Sc. in Engineering from University of Engineering and Technology (UET) Lahore in 2000 with four gold medals. Before NYUAD, he served as Full Professor of Computer Architecture and Robust, Energy-Efficient Technologies at Technische Universität Wien (TU Wien), Austria, from October 2016 to August 2020, heading the relevant research group. Previously, he led a research group at KIT from 2011 to 2016, co-founded a technology startup in Pakistan, initiated and led an ICT R&D project there, and held industry positions including Senior Embedded Systems Engineer at Streaming Networks Pvt. Ltd. from 2003 to 2006.

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.