Mehdi Safari

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About

Mehdi Safari’s research lies at the intersection of biomedical engineering and advanced manufacturing, with a primary focus on the machining and cutting of cortical bone—a critical area for orthopedic surgeries and automated surgical robotics. His most-cited work, “Statistical modeling, Sobol sensitivity analysis and optimization of single-tip tool geometrical parameters in the cortical bone machining process” (2019, 8 citations), exemplifies his systematic approach to improving surgical outcomes. In this study, Safari employed rigorous statistical modeling and sensitivity analysis to optimize tool geometry, directly addressing the need for precision in bone cutting procedures. His contributions help bridge the gap between traditional surgical techniques and computer numerical control (CNC) machines or robotic systems, aiming to reduce tissue damage and enhance recovery. While his citation count is still growing, Safari’s work is notable for its practical relevance—offering data-driven insights that can inform tool design and surgical planning. By combining mechanical engineering principles with clinical applications, he is helping to shape safer, more efficient orthopedic interventions.