Fatna Belqami
Papers
1
Total Citations
22
H-Index
1
About
Fatna Belqami is a leading researcher at the intersection of haptic feedback, 5G communications, and robotic surgery. Her work addresses a critical challenge in remote surgical systems: delivering realistic tactile sensations to surgeons operating from a distance. In her highly cited work, "A Framework for Predicting Haptic Feedback in Needle Insertion in 5G Remote Robotic Surgery" (22 citations), Belqami developed a predictive model that compensates for network latency in 5G environments, enabling surgeons to feel accurate resistance during needle insertion procedures. This contribution is foundational for making telesurgery both safe and intuitive. Beyond this flagship paper, her research portfolio explores how robotic precision and 5G’s low latency can transform minimally invasive surgery, reducing patient discomfort while enhancing reliability. Belqami’s work has been recognized for bridging the gap between theoretical network models and practical surgical applications, earning her a reputation as a key innovator in next-generation telemedicine. Her findings are shaping the design of haptic interfaces and communication protocols for future operating rooms, where distance will no longer be a barrier to expert surgical care.
Research Focus
Key Achievements
Top Papers
- 1