Personal profile
| Yue Jiang, male, a member of the Communist Party of China, a nationally-sponsored joint doctoral program graduate (from Tongji University and the University of Cambridge), under the guidance of Professor Liu Ling and Professor P. John Clarkson. He specializes in advanced technology and design, with his research focusing on neuroscience, artificial intelligence (AI), collective intelligence (CI), and complex co-design. |
Work experience
| 2026 - present, School of Arts and Design, Xihua University. |
Education experience
| 2023 - 2024, Department of Engineering / King's College, University of Cambridge, Advanced Technology and Design, National Scholarship Joint Training Doctoral Program (CSC); 2021 - 2025, College of Design and Innovation, Tongji University, Advanced Technology and Design, pursuing a Doctor of Engineering degree; 2018 - 2021, College of Design and Innovation, Tongji University, Product Service System Design, obtained a Master of Arts and Design degree; 2014 - 2018, College of Civil Engineering, Tianjin University, Ship Design and Manufacturing, obtained a Bachelor of Engineering degree. |
Research Direction
Focus on neuroscience, artificial intelligence (AI), collective intelligence (CI), and complex co-design (e.g. Medical Co-design). |
Academic Achievements
(Only listing some representative achievements from the past five years) [1] JIANG Y, CHEN J, LI Z, LIU L*, CLARKSON P J. AI-Augmented Co-Design in Healthcare: Log-Based Markers of Teamwork Behaviors and Collective Intelligence Outcomes[J]. Behavioral Sciences, 2025. [2] JIANG Y, CHEN J, LIU L*, CLARKSON P J. Exploring Medical Co-Design in the Age of AI: A Scoping Review[J]. Design and Artificial Intelligence, 2025. [3] JIANG Y, CHEN J, LIU L*, CLARKSON P J. Modelling Collective Intelligence in Medical Co-design: A Preliminary Study[C]//JIN S, KIM J H, KONG Y-K, PARK J, YUN M H.Springer Series in Design and Innovation. Singapore: Springer Nature, 2025: 323～332. [4] JIANG Y, CHEN J, LIU L*, CLARKSON P J. Evaluating Factors Influencing Collective Intelligence in Medical Co-Design Groups: A Preliminary Study[C]//New Frontiers for Inclusion. Cham: Springer Nature Switzerland, 2025: 37～47. [5] JIANG Y, CHEN J, LIU L*, CLARKSON P J. A Review of Medical Co-Design in the Era of Artificial Intelligence: Preliminary Research Findings[C]//Proceedings of the 4th Design Ergonomics and 2nd Neurodesign Academic Conference of China Ergonomics Society. Xi'an, China: Xi'an University of Technology, 2024. [6] JIANG Y, CHEN J, XU Y, XIAO S, LIU L*. Eagle Model: A Future Medical Product Innovative Design Model Driven by Human-Technology Symbiosis and Co-design[C]//Proceedings of the 6th International Conference on Intelligent Human Systems Integration (IHSI 2023) Integrating People and Intelligent Systems, February 22–24, 2023, Venice, Italy. AHFE Open Access, 2023, 69(69): 888～895. [7] JIANG Y, CHEN J, CHEN Q, LIU L*. Promote or Restrict? A Co-design Practice of a Palliative Care Information Management System in China[C]//DUFFY V G.Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Cham: Springer Nature Switzerland, 2023: 65～76. [8] JIANG Y, SHE T, LI F, LIU L*. Research on Media Support Service System Model for Communication Effectiveness in Medical Co-Design[C]//Human Factors · Management · Design—Proceedings of the 20th Management Ergonomics and 1st Design Ergonomics Academic Conference of China Ergonomics Society. Shanghai, China: Shanghai Jiao Tong University, 2021: 632–647. |