Mohammadreza Shahriari

Papers

Total Citations

H-Index

About

Mohammadreza Shahriari’s research lies at the intersection of surgical robotics, smart materials, and medical device design, with a particular focus on enhancing the dexterity and control of minimally invasive surgery (MIS) tools. His most cited work, “Analytical modeling of a Minimally Invasive Surgery grasper actuated by shape memory alloy wires” (2013, 3 citations), addresses a critical challenge in MIS: the need for compact, powerful, and precise actuation at the surgical end-effector. By developing a theoretical framework for shape memory alloy (SMA) wire actuation, Shahriari provided a foundation for creating lightweight, locally positioned actuators that improve the maneuverability and responsiveness of surgical graspers—an essential step toward more intuitive and reliable robotic-assisted surgery. His contributions bridge materials science and biomechanics, offering practical models that inform the design of next-generation surgical instruments. While his citation count reflects a focused, emerging impact, his work is notable for its technical rigor and direct relevance to advancing robot-assisted procedures, where precision and miniaturization are paramount. Shahriari’s research continues to influence the development of smarter, safer tools for the operating room.