Naram Mhaisen

Papers

Total Citations

178

H-Index

About

Naram Mhaisen is a leading researcher at the intersection of pervasive artificial intelligence and the Internet of Things (IoT), with a particular focus on making AI resource-efficient for distributed systems. His most impactful work, the 2022 survey "Pervasive AI for IoT Applications: A Resource-Efficient Distributed Artificial Intelligence," has garnered 165 citations, establishing it as a foundational reference in the field. This comprehensive review systematically maps the challenges and solutions for deploying AI across resource-constrained IoT devices, from recommendation systems to robotics control and military surveillance. Mhaisen’s contributions extend to hardware-software co-design, as demonstrated in his work on reconfigurable system-on-chip platforms for metal detection, showcasing his ability to bridge theoretical frameworks with practical embedded systems. His research is particularly notable for addressing the critical bottleneck of energy and computational efficiency in pervasive AI, enabling smarter, more autonomous IoT ecosystems. Through his work, Mhaisen has significantly advanced the understanding of how distributed intelligence can be optimized for real-world, low-power applications, making him a key voice in the evolution of edge AI and ubiquitous computing.