Zifeng Jiang
Papers
8
Total Citations
54
H-Index
5
About
Zifeng Jiang is a rising researcher specializing in robotic-assisted orthopedic surgery, with a particular focus on intelligent sensing, control systems, and signal processing for surgical automation. His work addresses one of the most critical challenges in surgical robotics: preserving the tactile and auditory feedback that surgeons lose when robotic systems are introduced into the operating room. Jiang's most significant contributions center on developing innovative methods to monitor and control bone cutting depth during spinal procedures such as laminectomy and pedicle drilling. His groundbreaking 2022 paper on sound pressure signal-based bone cutting depth control (23 citations) demonstrated that acoustic harmonics generated during milling could serve as reliable proxies for cutting depth — a finding with profound implications for surgical safety. He has since expanded this foundation by integrating deep learning approaches, including attention-based CNN-LSTM architectures, viscoelastic tissue modeling, and intraoperative signal processing to enhance robotic precision across diverse bone structures. With a growing body of work accumulating over 50 citations, Jiang's research meaningfully bridges biomechanics, control engineering, and clinical application. His focus on automatic state monitoring and force control frameworks positions him as an important contributor to the next generation of safer, more autonomous orthopedic surgical systems.
Research Focus
Key Achievements
Top Papers
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