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About

Halima Elbiaze is a leading researcher at the intersection of 5G-enabled Tactile Internet and remote robotic surgery, where she addresses the critical challenge of ultra-reliable, low-latency communication. Her most influential work, "A Machine Learning Framework for Handling Delayed/Lost Packets in Tactile Internet Remote Robotic Surgery" (27 citations), pioneers ML-based solutions to maintain haptic feedback integrity despite network disruptions—a fundamental requirement for 1ms latency and 99.999% reliability in surgical teleoperation. She further advanced this domain with "A Framework for Predicting Haptic Feedback in Needle Insertion in 5G Remote Robotic Surgery" (22 citations), modeling the crucial haptic dynamics of needle insertion procedures. Beyond surgery, Elbiaze has made significant contributions to emergency communications through her work on UAV-assisted wireless networks, developing resource allocation and positioning frameworks for disaster scenarios where traditional infrastructure fails. Her research consistently bridges theoretical network optimization with life-critical applications, from surgical precision to emergency response. With citations spanning her core contributions to tactile internet, haptic feedback prediction, and autonomous aerial network management, Elbiaze stands as a key figure shaping the future of 5G-enabled teleoperation and resilient communication systems.