Papers
3
Total Citations
239
H-Index
3
About
Qihang Wu is a pioneering researcher at the intersection of intelligent control systems and surgical robotics, with a particular focus on canceling physiological tremor during microsurgery. His foundational work on adaptive least squares support vector machines (LS-SVM) for hand tremor canceling, published in 2011, has accumulated 211 citations and established a benchmark for real-time tremor suppression in delicate procedures such as retinal and neurological microsurgery. Wu further advanced this domain with adaptive fuzzy wavelet neural network filters, demonstrating how hybrid intelligent systems can achieve superior precision in motion compensation. More recently, he has turned his attention to the next frontier of surgical innovation: digital twin-assisted surgery. His 2026 paper outlines a comprehensive technological architecture that integrates robotic manipulators, intelligent implants, biosensors, and real-time imaging to create dynamic, patient-specific virtual models that mirror the physical patient during surgery. This visionary framework promises to enhance surgical planning, guidance, and outcomes across all operative phases. Wu’s work bridges classical control theory with modern AI and digital twin paradigms, positioning him as a key architect of the future of computer-integrated surgery.
Research Focus
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