Faxian Cao

Dr. Faxian Cao is a Research Fellow in the Department of Design, Manufacturing and Engineering Management at the University of Strathclyde, United Kingdom, where he advances deep learning techniques for digital twins in robotic surgery under Prof. Xichun Luo's supervision.

His academic background includes:

• Doctor of Philosophy from the School of Computer Science, Faculty of Science and Engineering, University of Hull
• Master of Engineering from Guangdong University of Technology

Dr. Cao's research integrates deep learning with surgical robotics to develop precision cancer surgery solutions, focusing on soft tissue biomechanics and low-damage resection techniques. His work bridges computational modeling and clinical applications through numerical simulation of tissue behavior, energy dissipation analysis, and constitutive model development for surgical digital twins. This research directly contributes to UN Sustainable Development Goal 3 (Good Health and Well-being) by enabling minimally invasive cancer interventions.

His publication output demonstrates a concentrated focus on surgical simulation methodology, with recent work analyzing soft tissue resection mechanics for precision oncology applications. The research employs advanced computational techniques to model tissue deformation and cutting dynamics during robotic procedures.