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About

Aiman Erbad is a prominent researcher whose work sits at the intersection of artificial intelligence, Internet of Things (IoT), and telemedicine technologies. His most influential contribution, "Pervasive AI for IoT Applications," has garnered over 165 citations, establishing him as a leading voice in resource-efficient distributed artificial intelligence across IoT ecosystems — from recommendation systems to military surveillance. Erbad's research portfolio reveals a compelling dual focus: advancing intelligent network infrastructures while simultaneously transforming healthcare delivery through technology. In the telemedicine domain, Erbad has made significant strides in surgical tele-mentoring, developing frameworks that enable specialist surgeons to remotely guide operating colleagues through minimally invasive procedures — a contribution with profound implications for global healthcare equity. His work on immersive telemedicine techniques and region-of-interest optimization further demonstrates his commitment to real-world, delay-sensitive medical applications. Beyond healthcare, Erbad explores computer vision through view-invariant action recognition and investigates semantic communications for next-generation wireless networks. His research on energy-aware service offloading speaks to the growing demand for sustainable intelligent systems. Collectively, his work bridges theoretical AI advancement with tangible applications, making him a valuable figure for researchers navigating the convergence of connectivity, intelligence, and digital health.