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About

Sudha Garimella is a researcher specializing in robotic surgery, surgical skill assessment, and computer-aided medical systems. Her work sits at a compelling intersection of computer vision, motion analysis, and surgical robotics, addressing one of healthcare's most pressing challenges: objectively evaluating surgical performance in an era of rapidly advancing technology. Garimella's most significant contribution lies in developing automated, quantitative frameworks for assessing robotic minimally invasive surgical (rMIS) skills. Her landmark 2012 paper on video-analysis motion studies, which has garnered 35 citations, tackled the longstanding problem of subjective surgical evaluation by introducing repeatable, stable metrics of performance derived from automated video analysis — a meaningful step toward standardizing surgical training and credentialing. Her complementary research into haptic modeling for needle biopsy phantoms further demonstrates her breadth, exploring how kinesthetic feedback can be computationally modeled to improve procedural training and tissue navigation. Beyond skill assessment, Garimella has investigated video analytics for enhancing safety and decision-support within surgical workflows, recognizing that even advanced robotic systems require intelligent oversight layers. Collectively, her research has helped lay groundwork for smarter, safer surgical systems, making her a notable contributor to the evolving field of computer-assisted surgery.