Shahed K. Mohammed

Papers

Total Citations

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About

Shahed K. Mohammed is a leading researcher in surgical robotics and medical training, with a focus on bridging the gap between robotic and laparoscopic skill acquisition. His most-cited work, "Play Me Back: A Unified Training Platform for Robotic and Laparoscopic Surgery" (2018, 19 citations), introduces a novel training methodology that integrates hand-over-hand guidance with trial-and-error learning, leveraging expert data from the da Vinci surgical system. This unified approach addresses a critical need in minimally invasive surgery by enabling trainees to develop proficiency across both robotic and standard laparoscopic platforms. Mohammed’s contributions extend beyond technical innovation; his work emphasizes the importance of data-driven, adaptive training paradigms that can reduce learning curves and improve surgical outcomes. By combining real-time expert feedback with iterative practice, his platform offers a scalable solution for surgical education. With a growing citation impact, Mohammed’s research is shaping the future of surgical training, making him a notable figure in the intersection of robotics, human-machine interaction, and medical simulation. His work continues to inspire new directions in skill transfer and autonomous surgical assistance.