Hi! I am Tianliang Yao, an undergraduate at the Department of Control Science and Engineering, College of Electronics and Information Engineering at Tongji University & Shanghai Research Institute for Intelligent Autonomous Systems (SRIAS), guided by Prof. Peng Qi.

I am a student member of the IEEE, IEEE Robotics and Automation Society, CAA, and CCF.

My research aims to discover how Artificial Intelligence (AI) aids the field of healthcare. Currently, I mainly focus on three major applications: intelligent medical robotics, medical image analysis, and bioinformatic analysis. I seek to streamline and improve clinical workflows through technology and work towards image-based automation in robotic surgery. I aspire to explore all of these areas through research in the years ahead, gaining exciting and valuable insights and making meaningful contributions.

Reach me at yaotianliang2003@gmail.com or yaotianliang@tongji.edu.cn (also WeChat: ytl20030607) if you want to discuss research ideas or work together with me. Welcome!!!

Recent News

  • 2024.05 – Qi Di Scholarship. (the highest honor @ the College of Electronic and Information Engineering, sponsored by Qidi Wu, former deputy minister of education, 20/1800, top 1% each year).
  • 2024.04 – The Pursuit of Excellence Scholarship (the highest honor @ Tongji University, 6/44000, top 0.013% each year).
  • 2024.04 – Journal paper A Two-stage 2D-3D Coronary Artery Registration Method based on Super-pixel Particle Swarm Optimization has been submitted to IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI) (JCR Q1, IF=5.3).
  • 2024.03 – Conference paper Learned Needle Tip Localization with A Photoacoustic Beacon for Ultrasound-Guided Minimally Invasive Procedures has been submitted to IEEE International Ultrasonics Symposium (IUS), 2024. (Research intern @ King’s College London, advisor: Dr. Mengjie Shi, Prof. Tom Vercauteren, Prof. Wenfeng Xia)
  • 2023.12 – Robot Application Innovation Award (Key technologies of endovascular interventional surgical robot, awarded to Medical Robot Research Team of Tongji University) in the 4th Annual Conference of China Robot Industry.
  • 2023.10 – First Prize in “Challenge Cup” National College Students Contest of Extracurricular Academic and Scientific Work (Research Track), Leader.
  • 2023.10 – Sharing talk on: Application of Machine Learning in Coronary Artery Image Analysis, CTOCC 2023.
  • 2023.09 – Journal paper Enhancing Percutaneous Coronary Intervention with Heuristic Path Planning and Deep-Learning based Vascular Segmentation is accepted by Computers in Biology and Medicine. (JCR: Q1, IF=7.7)
  • 2023.07 – Conference paper A Haptic Exploration and Surface Classification of Objects with Four Typical Surface Properties (my first paper and my first conference paper) is awarded as Best Conference Paper Finalist in IEEE ICARM 2023.