Yassine Jebbar

Papers

Total Citations

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About

Yassine Jebbar is a researcher at the forefront of next-generation networking, with a primary focus on the Tactile Internet, fog computing, and emerging applications in healthcare and autonomous systems. His most cited work, "A Fog-Based Architecture for Remote Phobia Treatment" (2019, 13 citations), pioneers the integration of fog computing with the Tactile Internet to enable real-time, low-latency haptic feedback for therapeutic interventions. This contribution addresses critical challenges in remote healthcare, demonstrating how edge-based architectures can support sensitive applications like phobia treatment by reducing latency and enhancing reliability. Jebbar’s research explores how the Tactile Internet—a paradigm shift beyond audio and video to include touch—can be combined with 5G and edge computing to unlock transformative use cases, from remote robotic surgery to autonomous driving. His work has been recognized for its practical implications in bridging the gap between theoretical network designs and real-world deployment, particularly in latency-sensitive environments. With a growing citation impact, Jebbar continues to shape the discourse on how fog and edge architectures can make the Tactile Internet a viable reality for critical, human-centric applications.