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TAN Xinyang
Assistant Professor
  • introduction
  • Awards & Prizes
  • Monographs
  • Journal articles
  • Courses
  • Research
  • introduction
  • Awards & Prizes
  • Monographs
  • Journal articles
  • Courses
  • Research

Reseach direction:

Xinyang's research revolves around the innovative design of intelligent medical wearable systems to address the critical clinical needs of patients with motor dysfunction, such as stroke and scoliosis. At the core of his work lies the establishment of a biomechanics-driven feedforward model that integrates multimodal sensor networks with adaptive control algorithms to design and fabricate next-generation wearable devices. These advanced systems achieve real-time pathological state monitoring, provide dynamic motion assistance, and deliver precision rehabilitation interventions through intelligent closed-loop operation. By combining biomechanical analysis with cutting-edge material technologies, his research provides clinically translatable, personalized therapeutic solutions that significantly advance the field of neuromotor rehabilitation, offering new possibilities for restoring mobility and improving quality of life for patients with movement disorders.

Faculty Profile: 

Dr. Xinyang Tan is an Assistant Professor and PhD supervisor, honored as Shanghai Sailing Scholar and Chenguang Scholar. He earned his PhD from Imperial College London's Robotics Lab and holds a dual master's degrees from Imperial College London. Dr. Tan has led or participated in numerous research projects, including the National Key R&D project, National Natural Science Foundation project, Shanghai Science and Technology Commission project, Shanghai Education Commission project, Shanghai Jiao Tong University's Cross-Disciplinary Research Project, as well as the UK Engineering and Physical Sciences Research Council's Motion and RoboPatient projects. His research focuses on design of intelligent medical devices, smart sensing and actuation, composite material design and fabrication, and human motion system measurement and modeling. He has established collaborations with several top hospitals, accumulating extensive patient data and possessing full capabilities for clinical trials.

We welcome applications from undergraduate or master's students majoring in Industrial Design, Product Design, Mechanical Engineering, Robotics, Computer Science, Control Science, Material Science, Biomedical Engineering, or related disciplines.

Recent projects:




​[1] Xinyang Tan*, Saeema Ahmed-Kristensen, Jiangang Cao, Qian Zhu, Wei Chen, and Thrishantha Nanayakkara. A Soft Pressure Sensor Skin to Predict Contact Pressure Limit Under Hand Orthosis. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2021, 29: 536-545. (SCI, Top)

[2] Xinyang Tan*, Liang He, Jiangang Cao, Wei Chen, and Thrishantha Nanayakkara. A Soft Pressure Sensor Skin for Hand and Wrist Orthoses. IEEE Robotics and Automation Letters, 2020, 5 (2): 2192-2199. (SCI)

[3] Xinyang Tan*, Wei Chen, Jiangang Cao, and Saeema Ahmed-Kristensen. A Preliminary Study to Identify Data Needs for Improving Fit of Hand and Wrist Orthosis Using Verbal Protocol Analysis. Ergonomics, 2021, 64(2): 259-272. (SCI)

[4] Xinyang Tan*, Jiangang Cao, Thrishantha Nanayakkara, and Wei Chen. Exploring Non-linear Correlation Between Contact Pressure and Comfort of Customised Hand Orthoses. Archives of Physical Medicine and Rehabilitation, 2019, 100(10): 75. (SCI)

[5] Liang He*, Xinyang Tan*, Koichi Suzumori, Thrishantha Nanayakkara. A Method to 3D Print a Programmable Continuum Actuator with Single Material Using Internal Constraint. Sensors and Actuators A: Physical, 2021, 324: 112674. (SCI)

[6] Xinyang Tan*, Liang He, Jiangang Cao, Wei Chen, and Thrishantha Nanayakkara. A Soft Pressure Sensor Skin for Hand and Wrist Orthoses. ICRA 2020 - International Conference on Robotics and Automation, May 31-June 4, 2020, Paris, France.

[7] Xinyang Tan*, Wei Chen, Jiangang Cao, Saeema Ahmed-Kristensen. Identify Critical Data During Product Customization - A Case Study of Orthoses Fabrication. Proceedings of the 16th International Design Conference, October 26-29, 2020, Cavtat, Croatia, vol. 1, pp. 413-422, Cambridge University Press.

[8] Xinyang Tan*, Jiangang Cao, Thrishantha Nanayakkara, and Wei Chen. Exploring Non-linear Correlation Between Contact Pressure and Comfort of Customised Hand Orthoses. The 96th American Congress of Rehabilitation Medicine Annual Conference, November 3-8, 2019, Chicago, America.


       2023-2025, National Natural Science Foundation of China (NSFC), Young Scientists Fund, 52205276, "Study on design of a novel hyperboloidal actuated orthosis for scoliosis and its dynamic correction method", Ongoing, PI

       2023-2025, Ministry of Science and Technology of China, National Key R&D Program Subproject, 2022YFB3303303, "Research on Design Process Modeling Supporting Problem Reframing and Solution Evolution", Ongoing, Key Participant

       2022-2025, Shanghai Municipal Science and Technology Commission, 22YF1420800, "Research on Design Methodol of Powered Hand Orthoses Based on Spasticity Monitoring and Biomimetic Actuation", Ongoing, PI

       2022-2024, Shanghai Municipal Education Commission, Chenguang Program, 21CGA74, "Research on Form Optimization Design Method for Scoliosis Orthoses Based on Dance Movement Characteristics", Ongoing, PI

       2023-2025, Shanghai Jiao Tong University, Cross-Disciplinary Research Fund, YG2023QNB19, "Development of Palpation Device for Obesity Complicated with Breast Cancer Based on Multi-Dimensional Mechanical Imaging and Research on Preoperative Tumor Diagnosis Model", Ongoing, PI

       2023-2024, Tineco Intelligent Technology, "Research on Human-Machine Interaction of Intelligent Floor Cleaners Based on Hybrid Biomechanical Model of Hand", Ongoing, PI

       2019-2021, Imperial College London and Xuzhou Central Hospital Collaborative Research Project, "Research on Optimal Design and Manufacturing Methods for Hand Orthoses", Completed, PI

       2019-2023, UK Engineering and Physical Sciences Research Council (EPSRC), Standard Grant EP/T00603X/1, "RoboPatient - Robot Assisted Learning of Constrained Haptic Information Gain", Completed, Participant

       2016-2019, UK Engineering and Physical Sciences Research Council (EPSRC), Standard Grant EP/N03211X/1, "Motion - Morphological Computation of Perception and Action", Completed, Participant

       2016-2017, UK Innovation Projects (Funding Organizations: InnovationRCA, Helen Hamlyn Centre for Design, Wates Enterprise, etc.), "Research on Design Method of Flexible Wrist Exoskeletons Based on Motion Recognition and Subjective Movement Perception", Completed, PI


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