Mohammadreza Dehghani

Carleton University, Tarbiat Modares University

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About

Mohammadreza Dehghani is a robotics researcher whose work bridges the critical gap between theoretical precision and real-world manufacturing and surgical applications. His primary research areas include robot-mounted sensing, high-accuracy manufacturing, and the design and calibration of surgical robots, particularly for craniotomy procedures. Dehghani’s most impactful contribution, his 2022 paper on "Robot-mounted sensing and local calibration for high-accuracy manufacturing," has garnered 43 citations, underscoring its significance in advancing industrial automation. In the surgical domain, he led the analysis, optimization, and prototyping of a parallel Remote Center of Motion (RCM) mechanism for craniotomy surgery, a project that directly addresses the physical strain and error risks surgeons face during skull milling and cutting. His subsequent work on workspace measurement and calibration of this robot further refined its precision, employing forward kinematic approaches to enhance surgical outcomes. Dehghani’s research not only improves the safety and efficiency of complex surgeries but also pushes the boundaries of robotic accuracy in manufacturing, making him a notable figure in applied robotics.