Majid Ghoreishi

K.N.Toosi University of Technology

Papers

4

Total Citations

120

H-Index

4

About

Majid Ghoreishi is a prominent researcher specializing in biomedical engineering and advanced manufacturing, with a particular focus on the mechanics and optimization of bone drilling processes. His work sits at the critical intersection of surgical procedure safety and engineering precision, addressing one of orthopedic surgery's most technically demanding challenges. Ghoreishi's most significant contributions center on understanding and controlling the thermal and mechanical forces generated during bone drilling — a procedure where excessive heat above 47°C risks thermal necrosis, a serious surgical complication. His 2017 study on robotic drilling of cortical bone, which has garnered 52 citations, introduced multi-objective optimization frameworks and sensitivity analysis to systematically identify how drilling parameters influence temperature and force outcomes. Complementing this, his application of the Sobol statistical method provided rigorous quantitative insights into process variability. Extending his research into high-speed drilling environments, Ghoreishi combined experimental investigation with finite element modeling to validate and predict drilling behavior under demanding conditions. His 2020 study further demonstrated the value of computational approaches in surgical tool design. Collectively, his body of work — spanning robotic systems, statistical modeling, and finite element analysis — has meaningfully advanced safer, more predictable bone drilling protocols across orthopedic surgery, dentistry, and fracture treatment.

Research Focus

Key Achievements

4
H-Index
4
Papers
120
Total Citations
30
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: 4
🏛 Institutions: K.N.Toosi University of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago