Mario Badr

Mario Badr is an Assistant Professor (Teaching Stream) in the Department of Computer Science at the University of Toronto, part of the Faculty of Arts and Science. His research focuses on computer architecture, with an emphasis on simulation tools for evaluating multi-core, heterogeneous, and energy-harvesting systems. He has contributed to methodologies for analyzing memory behavior, synchronization performance, and cache coherence in modern architectures.

Key research areas include parallel computing, performance analysis of GPU offloading, and energy-efficient computing models like the EH framework. His work often involves developing synthetic traffic models (e.g., SynFull) to assess architectural designs under realistic conditions. These tools enable early-stage exploration of trade-offs in processor architectures, particularly for mobile and embedded systems.

Dr. Badr’s publications span topics such as cache behavior modeling, multi-core scalability, and intermittent computing. His research bridges theoretical analysis and practical implementation, with applications in both academic and industry contexts. While no specific awards or grants are listed, his contributions to architecture evaluation frameworks reflect a strong focus on advancing computational efficiency and system design.