Ruichen Li, Ph.D.

Ruichen Li, Ph.D.

Project Researcher

Greeting

Welcome, and thank you for visiting my page.

I am working as a project researcher at the International Research Center for Neurointelligence (IRCN) at the University of Tokyo.

My research focuses on physiological modeling of multiple interacting systems within the human body. I develop multi-system computational models of the cardiovascular system (CVS), respiratory system (RS), and autonomic nervous system (ANS) to reproduce and analyze quantifiable interoceptive signals—such as variabilities of blood pressure and heart rate—validated against real human data. I am particularly interested in how cross-system interactions contribute to maintaining and mediating homeostasis and allostasis in human body.

My current work seeks to address the following fundamental questions:

  • How do quantifiable interoceptive signals, like blood pressure and heart rate, differ across neurodivergent conditions?
  • How to offer self-regulation strategies for neurodivergent populations experiencing ANS dysfunction?

In addition, I am enthusiastic about integrating emerging methodologies—such as artificial intelligence (AI) and quantum computation—into my research to further explore the inner and inter-system dynamics of the biological body.

If you share similar interests or are curious about potential collaborations, please feel free to reach out. I’m always open to new ideas and interdisciplinary work.

Email

  • Official email: li.ruichen (AT) mail.u-tokyo.ac.jp (Using “@” replace “(AT)”)
  • Personal email: liruichen0213 (AT) outlook.com (Using “@” replace “(AT)”)

News

  • May 12-16, 2025: Virtual Networking Week of The DAAD AInet Fellowship, Germany. Title “Natural Language Processing”. URL
  • Apr 17, 2025: IRCN Science Tour, The University of Tokyo, Japan. Title “Princess Chulabhorn Science High School Chiang Rai, Thailand”. URL

Experiences

  • Jan. 2024 - now: Project researcher, Cogintive Developmental Robotics Lab, International Research Center for Neurointelligence (IRCN), the University of Tokyo, Japan. Homepage

Publications

  • Sughimoto, K., Miki, T., Li, R., Maeda, K., Koda, D., Fujiwara, T., & Liu, H. (2025). Impact of collateral vessels on Fontan circulation: 0-1dimensional Fontan circulation model and concept of oxygen supply and consumption. Annals of Thoracic Surgery Short Reports (IF: 5.102). URL
  • Sughimoto, K., Miki, T., Li, R., Fujiwara, T. F., & Liu, H. (2023). Impact of collateral vessels on Fontan circulation by using 0-1 dimensional Fontan circulation model considering concepts of oxygen supply and consumption. European Heart Journal, 44(Supplement_2) (IF: 39.3), ehad655-3208. URL
  • Li, R., Sughimoto, K., Zhang, X., Wang, S., & Liu, H. (2023). Impacts of respiratory fluctuations on cerebral circulation: a machine-learning-integrated 0–1D multiscale hemodynamic model. Physiological Measurement (IF: 2.3), 44(3), 035013. URL
  • Wang, S., Wu, D., Li, G., Zhang, Z., Xiao, W., Li, R., … & Liu, H. (2023). Deep learning-based hemodynamic prediction of carotid artery stenosis before and after surgical treatments. Frontiers in Physiology (IF: 6.5), 13, 1094743. URL
  • Wang, S., Wu, D., Li, G., Song, X., Qiao, A., Li, R., … & Liu, H. (2022). A machine learning strategy for fast prediction of cardiac function based on peripheral pulse wave. Computer Methods and Programs in Biomedicine (IF: 4.9), 216, 106664. URL
  • Li, R., Sughimoto, K., Zhang, X., Wang, S., Hiraki, Y., & Liu, H. (2022). Impact of Respiratory Fluctuation on Hemodynamics in Human Cardiovascular System: A 0-1D Multiscale Model. Fluids (IF: 1.8), 7(1), 28. URL
  • Ruichen, L., Boyan, X., Yunliang, Q., & Weiyang, X. (2020). Numerical analysis of low speed pre-ignition and knock process in downsized turbocharged direct injection engines with ethanol-gasoline blends. International Journal of Automotive Technology (IF: 1.5), 21, 13-22. URL
  • Ruichen, L., Boyan, X., & Yunliang, Q. (2019). Research on mechanism of low speed pre-ignition and knock process in boosted direct injection spark ignition gosoline engines. Journal of Physics: Conference Series (IF: 0.402), 1176(5), 052069. URL

Conferences

  • Mar. 2025: Poster Presentation, The 130th Annual Meeting of the Japanese Association of Anatomists (JAA), the 102nd Annual Meeting of the Physiological Society of Japan (PSJ), and the 98th Annual Meeting of the Japanese Pharmacological Society (JPS) (APPW2025). Chiba, Chiba, Japan. URL
  • Nov. 2024: Poster Presentation, The 13th Annual Meeting of the Japan Society for Developmental Neuroscience (JSDN2024). Tokorozawa, Saidama, Japan. URL
  • Aug. 2024: Poster Presentation, The 24th Congress of the Japanese Society of Baby Science (JSBS2024). Tokyo, Japan. URL
  • Feb. 2024: Poster Presentation, The 53rd Neural Dynamics and Information Processing in the Brain and Body International Symposium (53rd NIPS). Okazaki, Aichi, Japan. URL
  • Jun. 2022: Oral Presentation, 7th International Conference on Computational and Mathematical Biomedical Engineering (CMBE22). Milan, Italy. URL
  • Sep. 2021: Oral Presentation (online), Mechanical Engineering Congress, 2021 Japan (MECJ-21). Chiba, Chiba, Japan. URL

Educations

  • Oct. 2019 - Sep. 2023: Ph.D, Biomechanical Engineering Lab, Graduate School of Science and Engineering, Chiba University, Japan. Homepage
  • Sep. 2016 - Jun. 2019: M.E , School of Mechanical and Electrical Engineering, Shandong Jianzhu University, China
  • Sep. 2012 - Jun. 2016: B.E , School of Mechanical and Electrical Engineering, Shandong Jianzhu University, China


Acknowledgments
Thanks to my family, Ph.D. and master's supervisors, and colleagues for their support and inspiration.
Special thanks to RayeRen for providing the website template.