Personal profile
Biography
Zhenhong Li is currently a Lecturer in Robotics and Control at the University of Manchester (UoM) holding an EPSRC Fellowship on physical human-robot interaction. He received the B.Eng. degree in Electrical Engineering from Huazhong University of Science and Technology in 2013, and the M.S. and the Ph.D. degrees in Control Engineering from the UoM in 2014 and 2019, respectively. Before joining UoM in 2023, he was a Research Fellow in Rehabilitation Robotics at the University of Leeds from 2019 to 2023. He is an IEEE Senior Member and severs as Associate Editor for IEEE Robotics and Automation Letters.
He has authored and co-authored over 60 papers in peer-reviewed journals and conferences, and has closely engaged with healthcare professionals, local and international industries, product designers for multidisciplinary projects funded by the Engineering and Physical Sciences Research Council (EPSRC), Science and Technology Facilities Council (STFC), and Wellcome Trust. He received the Best Paper Award for Unmanned Systems in 2019, Two Best Paper Award at IEEE Conferences the EPS International Academic Pump-priming Award in 2020.
Zhenhong leads Neurorobotics Lab (NRL) at UoM. For more information please refer to Zhenhong's personal webpage and Neurorobotics Lab.
Research interests
His research focuses on developing innovative control technologies for multi-robot systems and human-robot systems with broad applications in industry and healthcare. His research interests include physical human-robot interaction for rehabilitation and industrial robots; multimodal brain-computer interfaces for robot control and brain monitoring. In general, he is particularly interested in taking highly multidisciplinary approaches to better understand human systems and develop intelligent interaction strategies for robotic devices.
Opportunities
Dr Li is looking for enthusiastic and highly motivated candidates to conduct PhD research. If you are interested in the areas listed in the Research Interests section, please feel free to contact [email protected] for discussions.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
-
SDG 3 Good Health and Well-being -
SDG 7 Affordable and Clean Energy -
SDG 9 Industry, Innovation, and Infrastructure
Fingerprint
- 1 Similar Profiles
Collaborations and top research areas from the last five years
-
Instance-Based Transfer Learning with Similarity-Aware Subject Selection for Cross-Subject SSVEP-Based BCIs
Wang, Z., Zhang, Y., Zhang, Z., Xie, S. Q., Lanzon, A., Heath, W. P. & Li, Z., 1 Jan 2026, In: IEEE Journal of Biomedical and Health Informatics. 30, 1, p. 328-338Research output: Contribution to journal › Article › peer-review
Open AccessFile9 Downloads (Pure) -
SlicerRoboTMS: An Open-Source 3D Slicer Extension for Robot-Assisted Transcranial Magnetic Stimulation
Bai, W., Guo, Y., Basu, B., Weightman, A. & Li, Z., 28 Apr 2026, (E-pub ahead of print) 2026 48th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEEResearch output: Chapter in Book/Conference proceeding › Conference contribution › peer-review
File1 Downloads (Pure) -
Progressive Learning based Assist-as-Needed Control for Ankle Rehabilitation
Qian, K., Li, Z., Zhao, Y., Zhang, J., Kong, X., Chakrabarty, S., Zhang, Z. & Xie, S. Q., 1 Apr 2025, In: IEEE Transactions on Cognitive and Developmental Systems. 17, 2, p. 328 - 339Research output: Contribution to journal › Article › peer-review
Open AccessFile40 Downloads (Pure) -
Robot-Assisted Transcranial Magnetic Stimulation (Robo-TMS): A Review
Bai, W., Weightman, A., O'Connor, R. J., Ding, Z., Zhang, M., Quan Xie, S. & Li, Z., 4 Jul 2025, In: IEEE Transactions on Neural Systems and Rehabilitation Engineering. 33, p. 2606-2621 16 p.Research output: Contribution to journal › Review article › peer-review
Open Access -
Sensor-Space Based Robust Kinematic Control of Redundant Soft Manipulator by Learning
Meng, Y., Qian, K., Yang, J., Su, R., Li, Z. & Wang, C. C. L., 19 Jul 2025, arXiv, p. 1-16, 16 p.Research output: Preprint/Working paper › Preprint
Open Access
-
Sensors, Special Issue (Event)
Li, Z. (Assistant editor)
2021 → …Activity: Publication peer-review and editorial work › Editorial work › Research
-
IEEE Young Professionals (External organisation)
Li, Z. (Academic expert member)
2014 → …Activity: Membership › Membership of professional association › Research
-
Institute of Electrical and Electronics Engineers, Inc. (IEEE) (External organisation)
Li, Z. (Academic expert member)
2013 → …Activity: Membership › Membership of professional association › Research
-
IEEE Control Systems Society (External organisation)
Li, Z. (Academic expert member)
2013 → …Activity: Membership › Membership of professional association › Research
Press/Media
Thesis
-
OPTIMIZATION AND CONTROL ISSUES WITH NETWORK CONNECTED DYNAMIC SYSTEMS
Li, Z. (Author), Wang, Z. (Co Supervisor) & Ding, Z. (Main Supervisor), 25 Oct 2018Student thesis: Phd
File