Event Info

• 28th May, 2024
• 11:00 am
• SINES, NUST H-12 Campus
• Speaker: Dr. Muhammad Shafique
• Organizer: Dr. Faisal Shafait

Abstract

The rapid growth of Artificial Intelligence (AI) applications in areas such as healthcare, smart cities, and autonomous vehicles is driving the need for real-time data processing at the edge of the network. Edge AI – the integration of AI into edge devices – promises to meet this demand by providing low-latency, privacy-preserving, and efficient computation directly on devices. However, achieving robust and energy-efficient performance in resource-constrained environments remains a critical challenge.

This talk explores the intersection of AI and edge computing, focusing on the design of energy-efficient, robust edge-AI systems.

Speaker

Dr. Muhammad Shafique received the PhD degree in computer science from the Karlsruhe Institute of Technology (KIT), Germany, in 2011. Afterwards, he established and led a highly recognized research group at KIT for several years as well as conducted impactful R&D activities in Pakistan. Besides co-founding a technology startup in Pakistan, he was also an initiator and team lead of an ICT R&D project. In Oct.2016, he joined the Institute of Computer Engineering at the Faculty of Informatics, Technische Universität Wien (TU Wien), Vienna, Austria as a Full Professor of Computer Architecture and Robust, Energy-Efficient Technologies. Since Sep.2020, he is with the Division of Engineering, New York University Abu Dhabi (NYUAD), United Arab Emirates.

Event Timeline