Amina Hentati
Papers
2
Total Citations
12
H-Index
2
About
Amina Hentati is a leading researcher at the forefront of Tactile Internet (TI) applications, with a specialized focus on the transformative field of remote robotic surgery. Her work addresses the critical challenge of enabling ultra-low-latency, reliable communication for haptic feedback and real-time control in surgical robotics. Hentati’s major contributions center on the joint placement and scheduling of Virtual Network Function-Forwarding Graphs (VNF-FGs), developing deterministic and dynamic resource allocation policies that are tailored to the diverse quality-of-service (QoS) requirements of multimodal data traffic during surgical sessions. Her pioneering 2022 paper on this topic, which has garnered 6 citations, laid the groundwork for cost-effective deployment strategies, while her subsequent 2025 work further refines these policies to handle the dynamic nature of surgical data flows. With a total of 12 citations across her most-cited works, Hentati’s research is pivotal in bridging the gap between theoretical network optimization and practical, life-saving medical applications, positioning her as a key innovator in the next generation of telemedicine.
Research Focus
Key Achievements
Top Papers
- 1Remote Robotic Surgery: Joint Placement and Scheduling of VNF-FGs6 citations · 2022
- 2