Sungmin Kim is an Associate Professor and biomedical engineering researcher with over eight years of experience developing image-guided surgical systems, surgical robots, and advanced medical imaging methods such as registration, segmentation, and visualization. His career spans academia and industry, including postdoctoral and research roles at Johns Hopkins where he developed photoacoustic image-guided telerobotic systems for endonasal skull base surgery, and senior research positions in Korea that translated robotic and imaging research toward practical applications. He combines mechanical engineering roots with deep expertise in computer vision, augmented/virtual reality, and clinical surgical navigation to bridge lab innovation and clinical deployment. Based in South Korea, he has a PhD from Hanyang University and a track record of building interdisciplinary teams and systems that integrate hardware, imaging, and real-time software for high-stakes surgical environments. An uncommon strength is his hands-on experience across the full stack of surgical robotics—from sensor-driven imaging algorithms to telerobotic system integration—enabling translational research with immediate clinical relevance.
7 years of coding experience
15 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Biomedical Engineering, Doctor of Philosophy (Ph.D.), Biomedical Engineering at Hanyang University, Seoul, Korea
Master's degree, Biomedical Engineering, Master's degree, Biomedical Engineering at Hanyang University
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