Papers
3
Total Citations
183
H-Index
3
About
Mounir Hamdi is a leading researcher at the intersection of artificial intelligence, the Internet of Things (IoT), and high-performance computing. His work focuses on making AI pervasive and resource-efficient, enabling intelligent decision-making at the network edge. His seminal 2022 survey, "Pervasive AI for IoT Applications: A Survey on Resource-Efficient Distributed Artificial Intelligence," has garnered over 165 citations, establishing itself as a foundational reference in the field. This work systematically explores how to distribute AI across resource-constrained IoT devices, addressing critical challenges in latency, bandwidth, and energy consumption. Earlier in his career, Hamdi made significant contributions to parallel computing architectures, notably developing algorithms for Euclidean distance transforms on reconfigurable mesh-connected computers—a fundamental operation in computer vision and robotics. His research spans from foundational parallel algorithms to cutting-edge distributed AI systems, demonstrating a sustained impact on both theoretical computer science and practical IoT deployments. Through his work, Hamdi has helped shape the trajectory of intelligent, decentralized computing systems that are transforming industries from smart cities to autonomous systems.
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