Papers

5

Total Citations

128

H-Index

5

About

Vahid Tahmasbi is a prominent researcher specializing in biomedical engineering and surgical manufacturing processes, with a particular focus on bone drilling and machining techniques critical to orthopedic and dental surgery. His work centers on understanding and optimizing the mechanical and thermal dynamics of bone drilling — a field where precision is paramount, as excessive heat generation above 47°C risks causing thermal necrosis, and improper force application can lead to tool fracture or patient harm. Tahmasbi's most significant contributions include developing multi-objective optimization frameworks and applying advanced statistical methods, notably the Sobol sensitivity analysis, to identify and quantify the most influential parameters affecting temperature and force during robotic and high-speed bone drilling. His integration of experimental investigations with finite element modeling has provided researchers and surgeons with robust predictive tools for safer surgical outcomes. His 2017 landmark paper alone has garnered 52 citations, reflecting the field's recognition of his methodological rigor. With a cumulative citation count exceeding 128 across his key publications, Tahmasbi's research bridges fundamental biomechanics and practical surgical robotics, making meaningful strides toward reducing surgical complications and advancing the precision of computer-controlled and robotic bone surgery systems.

Research Focus

Key Achievements

5
H-Index
5
Papers
128
Total Citations
26
Avg Citations/Paper
🏆 Most Cited Paper
Investigation, sensitivity analysis, and multi-objective optimization of effective parameters on temperature and force in robotic drilling cortical bone
52 citations · 2017
📈 Most Prolific Year: 2017 (2 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: K.N.Toosi University of Technology, Arak University, Arak University of Technology

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago