Amina Hentati

Concordia University

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

2
H-Index
2
Papers
12
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Remote Robotic Surgery: Joint Placement and Scheduling of VNF-FGs
6 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Concordia University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago