Papers

9

Total Citations

57

H-Index

5

About

Fan Liang is a robotics and biomedical engineering researcher whose work sits at the intersection of surgical robotics, motion prediction, and intelligent control systems. He is best known for his pioneering contributions to robot-assisted beating heart surgery, where he developed sophisticated predictive algorithms to compensate for the heart's complex, nonlinear motion during off-pump coronary artery bypass graft (CABG) procedures. His approaches — spanning nonlinear fast adaptive methods, master-slave Kalman filters, quadratic nonlinear prediction models, and multivariate autoregressive frameworks — collectively aim to eliminate relative motion between surgical tools and the beating heart, reducing post-operative complications and patient recovery time. His most cited works (each garnering up to 12 citations) reflect sustained scholarly interest in this clinically significant challenge. Beyond cardiac surgery, Liang has contributed to parallel robot kinematic calibration for small-animal biopsies, mobile robot path planning using hybrid ant colony and genetic algorithms, and shape memory alloy-actuated flexible needle control for minimally invasive interventions. His 2017 work employing interactive multiple models represents a notable step toward handling irregular heart rhythms through information fusion. Across nearly a decade of research, Fan Liang has established himself as a thoughtful innovator advancing the precision and safety of robotic surgical systems.

Research Focus

Key Achievements

5
H-Index
9
Papers
57
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Heart Motion Prediction in Robotic-Assisted Beating Heart Surgery: A Nonlinear Fast Adaptive Approach
12 citations · 2013
📈 Most Prolific Year: 2013 (4 Papers)
🤝 Key Collaborators: 20
🏛 Institutions: Beihang University, Case Western Reserve University, Tianjin University of Technology and Education

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago