Presenter
Muhammad Shafique

Biography
Dr. Shafique received the Ph.D. degree in computer science from the Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany, in 2011.
Afterward, he established and led a highly recognized research group at KIT for several years and conducted impactful collaborative R&D activities across the globe. In October 2016, he joined the Faculty of Informatics, Institute of Computer Engineering, Technische Universität Wien (TU Wien), Vienna, Austria, as a Full Professor of Computer Architecture and Robust, Energy-Efficient Technologies. Since September 2020, he has been with the Division of Engineering, New York University Abu Dhabi (NYU-AD), Abu Dhabi, United Arab Emirates, and a Global Network Faculty with the New York University Tandon School of Engineering, New York, NY, USA. He has (co)authored six books, more than ten book chapters, and more than 300 articles in premier journals and conferences. He holds one U.S. patent. His research interests are in design automation and system-level design for brain-inspired computing, AI & machine learning hardware, wearable healthcare devices and systems, autonomous systems, energy-efficient systems, robust computing, hardware security, emerging technologies, field-programmable gate arrays (FPGAs), multi-processor system-on-chips (MPSoCs), and embedded systems. His research has a special focus on cross-layer analysis, modeling, design, and optimization of computing and memory systems. The researched technologies and tools are deployed in application use cases from Internet-of-Things (IoT), smart cyber-physical systems (CPS), and ICT for Development (ICT4D) domains.
Dr. Shafique has served as the PC chair, the general chair, the track chair, and a PC member for several prestigious IEEE/ACM conferences. He received the 2015 ACM/SIGDA Outstanding New Faculty Award, the AI 2000 Chip Technology Most Influential Scholar Award in 2020, six gold medals, and several best paper awards and nominations at prestigious conferences. He has given several keynotes, invited talks, and tutorials and organized many special sessions at premier venues.
Afterward, he established and led a highly recognized research group at KIT for several years and conducted impactful collaborative R&D activities across the globe. In October 2016, he joined the Faculty of Informatics, Institute of Computer Engineering, Technische Universität Wien (TU Wien), Vienna, Austria, as a Full Professor of Computer Architecture and Robust, Energy-Efficient Technologies. Since September 2020, he has been with the Division of Engineering, New York University Abu Dhabi (NYU-AD), Abu Dhabi, United Arab Emirates, and a Global Network Faculty with the New York University Tandon School of Engineering, New York, NY, USA. He has (co)authored six books, more than ten book chapters, and more than 300 articles in premier journals and conferences. He holds one U.S. patent. His research interests are in design automation and system-level design for brain-inspired computing, AI & machine learning hardware, wearable healthcare devices and systems, autonomous systems, energy-efficient systems, robust computing, hardware security, emerging technologies, field-programmable gate arrays (FPGAs), multi-processor system-on-chips (MPSoCs), and embedded systems. His research has a special focus on cross-layer analysis, modeling, design, and optimization of computing and memory systems. The researched technologies and tools are deployed in application use cases from Internet-of-Things (IoT), smart cyber-physical systems (CPS), and ICT for Development (ICT4D) domains.
Dr. Shafique has served as the PC chair, the general chair, the track chair, and a PC member for several prestigious IEEE/ACM conferences. He received the 2015 ACM/SIGDA Outstanding New Faculty Award, the AI 2000 Chip Technology Most Influential Scholar Award in 2020, six gold medals, and several best paper awards and nominations at prestigious conferences. He has given several keynotes, invited talks, and tutorials and organized many special sessions at premier venues.
Presentations
Research Manuscript
Design
AI/ML System Design
Hosted in Virtual Platform
Special Session (Research Track)
Embedded Systems
Machine Learning/AI
Hosted in Virtual Platform
Research Manuscript
Design
Emerging Models of Computation
Hosted in Virtual Platform
Chair of Sessions
Special Session (Research Track)
Embedded Systems
Machine Learning/AI
Hosted in Virtual Platform