Papers
8
Total Citations
168
H-Index
7
About
Minfeng Gan is a pioneering researcher at the intersection of surgical robotics, medical navigation systems, and smart materials, whose work has significantly advanced the capabilities of minimally invasive surgery and human-robot interaction. With over 160 citations across his most influential publications, Gan has established himself as a key contributor to next-generation surgical technologies. His most celebrated work optimizing augmented reality-based surgical navigation systems (2020, 69 citations) addressed a critical limitation in traditional two-dimensional interfaces by incorporating full spatial information for lesion visualization, dramatically improving surgical precision. This breakthrough complements his broader research into robot-assisted procedures, including fluoroscopy-guided needle placement and three-dimensional spinal surgery navigation, where he demonstrated measurable improvements in localization accuracy. Beyond navigation, Gan has made notable strides in smart materials, developing magnetically and thermally controlled liquid metal composites with tunable stiffness — a contribution with broad implications for soft robotics and medical devices. His more recent work on triaxial force sensing for minimally invasive surgical robots and flexible pressure sensors for knee arthroplasty reflects a consistent drive toward safer, more responsive surgical systems. Gan's multidisciplinary vision continues to bridge robotics, materials science, and clinical medicine in meaningful ways.
Research Focus
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Top Papers
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- 73D actuation of foam-core liquid metal droplets9 citations · 2022
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