Wisam A. Yassin

Universiti Tunku Abdul Rahman

Papers

2

Total Citations

39

H-Index

2

About

Wisam A. Yassin is a leading researcher in the field of robotic surgical systems, with a primary focus on enhancing the safety and precision of bone milling procedures. His work centers on the critical challenge of intraoperative bone state identification and parameter optimization to minimize tissue damage during orthopedic surgery. Yassin’s most significant contribution is a model-based bone milling state identification method, detailed in his 2019 paper (33 citations), which uses force sensing to provide surgeons with real-time bone quality information and detect bone layer transitions. This innovation directly addresses the risk of excessive cutting force and thermal damage. Complementing this, his study on optimizing milling parameters (6 citations) demonstrates how robotic systems can regulate cutting settings to reduce cortical bone damage. By bridging sensor feedback with robotic control, Yassin’s research lays the groundwork for more autonomous, safer surgical robots. His work is highly relevant for researchers in medical robotics, haptics, and computer-assisted surgery, offering practical solutions for improving patient outcomes in procedures like joint replacement and spinal surgery.

Research Focus

Key Achievements

2
H-Index
2
Papers
39
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
A model‐based bone milling state identification method via force sensing for a robotic surgical system
33 citations · 2019
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Universiti Tunku Abdul Rahman

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago