Education

2018.01 - 2023.11    PhD in Computer Science, University of Kent, UK (Supervisor: Prof. Caroline Li)

2015.09 - 2016.11    MSc in Advanced Control and Systems Engineering, University of Sheffield,  UK       (Supervisor: Prof. Hualiang Wei)

2012.09 - 2015.06    BEng in Automatic Control and Systems Engineering, University of Sheffield, UK       (Supervisor: Prof. Sandor Veres) 

Work Experience 

2026.04 -  Now      Research Assistant Professor, Department of Biomedical Engineering, Southern        University of Science and Technology (Mingming Zhang’s Lab)

2023.12 - 2026.03    Postdoctoral Researcher, Department of Biomedical Engineering, Southern          University of Science and Technology (Co-supervisor: Mingming Zhang)

2023.09 - 2023.12   Visiting Scholar, Department of Biomedical Engineering, Southern University of Science       and Technology

2018.09 - 2020.09    Teaching Assistant (Part-time), School of Computing, University of Kent, UK

Honors & Awards 

1. Runner-up, 7th Faculty and Staff 3v3 Basketball Tournament, SUSTech, 2025

2. Runner-up, Men's High Jump (Faculty and Staff Group A), 11th SUSTech Track and Field Sports Meeting (BYD Cup), SUSTech, 2025

3. Champion, 6th Faculty and Staff 3v3 Basketball Tournament, SUSTech, 2024

4. Vice-Chancellor's Research Scholarship, University of Kent, UK, 2018-2022

5. Anti-COVID-19 Volunteer, Chinese Students and Scholars Association UK (CSSA-UK), 2020

6. 1st Place on the Leaderboard, Courier Route Optimization Competition, DHL at KDD London, UK, 2018

7. 3rd Place, ACSE Robotic Search and Rescue Competition, Department of Automatic Control and Systems Engineering, University of Sheffield, UK, 2014

8. Excellence Bursary, University of Sheffield, UK, 2014

9. Excellence Bursary, University of Sheffield, UK, 2013

Research Projects

1. National Natural Science Foundation of China (NSFC), Young Scientists Fund (Category C), 62503216, Confidence-Aware Robust Continuous Gait Prediction and Safe Interaction Control Framework for Waking-Assisted Exoskeletons, 2026-01-01 to 2028-12-31, 300,000 RMB, Ongoing, Principal Investigator.

2. National Natural Science Foundation of China (NSFC), General Program, 82474676, Research and Practice on the Hybrid Reality Technology of Acupuncture "Visual Touch Fusion" Simulation Operation, 2025-01-01 to 2028-12-31, 480,000 RMB, Ongoing, Participant.

3. Shenzhen Medical Academy, Clinical Research Special Project, C2401013, Recovery of Arousal in Patients with Disorders of Consciousness via Non-Invasive Brain Stimulation Based on Long-/Short-Term Neural Representations: Methodological Development and Clinical Translation, 2025-01-01 to 2028-12-31, 2,000,000 RMB, Ongoing, Participant.

4. Department of Science and Technology of Guangdong Province, Guangdong Basic and Applied Basic Research Major Project (Cornerstone), 2025B0303000003, Research on Brain Functional Analysis and Brain-Computer Interface Decoding Methods for Natural Task Manipulation, 2025-09-01 to 2030-08-31, 5,000,000 RMB, Ongoing, Participant.

Publications

(#Co-first author，*Corresponding author)

1. FU Z#, LIN Y#, XU G*, ZHANG M*. Comparative Performance of IMU and sEMG in Locomotion Mode Prediction Across Transitional and Steady-State Cyclic/Non-cyclic Gaits[J/OL]. IEEE Journal of Biomedical and Health Informatics, 2025: 1-12. DOI:10.1109/JBHI.2025.3623132.(Early Access) 

2. LIN Y, ZHU F*, ZHANG Y, ZHANG M*. Open-Environment Evidential Learning for Reliable Myoelectric Locomotion Prediction[J/OL]. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2025, 33: 4477-4486. DOI:10.1109/TNSRE.2025.3626316.

3. LIN Y, ZHANG Y, ZHONG W, XI Z, CHEN Y, ZHANG M*. Leveraging Extended Windows in End-to-End Deep Learning for Improved Continuous Myoelectric Locomotion Prediction[J/OL]. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2025, 33: 1170-1179. DOI: 10.1109/TNSRE.2025.3552530.

4. LIN Y*, PALANIAPPAN R, DE WILDE P, LI L. Robust Long-Term Hand Grasp Recognition With Raw Electromyographic Signals Using Multidimensional Uncertainty-Aware Models[J/OL]. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023, 31: 962-971. DOI:10.1109/TNSRE.2023.3236982.

5. LIN Y*, PALANIAPPAN R, DE WILDE P, LI L. Reliability Analysis for Finger Movement Recognition With Raw Electromyographic Signal by Evidential Convolutional Networks[J/OL]. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2022, 30: 96-107. DOI:10.1109/TNSRE.2022.3141593.

6. YAN W, LIN Y, CHEN Y, WANG Y, WANG J, ZHANG M*. Enhancing Neuroplasticity for Post-Stroke Motor Recovery: Mechanisms, Models, and Neurotechnology [J/OL]. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2025: 33:1156-1168. DOI:10.1109/TNSRE.2025.3551753.

7. SUN C, LIU Y, WANG C, LIN Y, CHEN Y, WU J, LONG J, ZHANG M. A Unified Control Framework Enables Robust Robotic Haptic Rendering of Bimanual Rehabilitation Tasks J[/OL]. IEEE Robotics and Automation Letters, 2024, 9(11):10636-10643. DOI:10.1109/LRA.2024.3471461.

8. FU P, ZHONG W, ZHANG Y, XIONG W, LIN Y, TAI Y, MENG L, ZHANG M. Predicting Continuous Locomotion Modes via Multidimensional Feature Learning From sEMG J[/OL]. IEEE Journal of Biomedical and Health Informatics, 2024, 28(11):6629-6640. DOI:10.1109/JBHI.2024.344160. 

Conference Papers 

1. LIN H, XU X, LUO B, YUAN Y, ZHANG Y, LIN Y#, ZHANG M#. Class-Incremental Learning for Myoelectric Locomotion Modes Prediction: Evaluating Replay Strategies Against Catastrophic Forgetting[C/OL]// 2025 31st International Conference on Mechatronics and Machine Vision in Practice (M2VIP). Taguig, Philippines: IEEE, 2025: 159-165.

2. LIN Y, PALANIAPPAN R, DE WILDE P, LI L#. A normalisation approach improves the performance of inter-subject sEMG-based hand gesture recognition with a ConvNet[C/OL]// 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). Montreal, QC, Canada: IEEE, 2020: 649-652.

3. LIN Y, DE WILDE P, PALANIAPPAN R, LI L#. Muscle Connectivity Analysis for Hand Gesture Recognition via sEMG[C/OL]// 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC). Honolulu, HI, USA: IEEE, 2018: 848-852. 

Patents 

1. Muhammad Osman Tokhi, Xuanlin Shen, Omar Aldasshiri, Yuzhou Lin. A safety limiting mechanism for exoskeleton robots. ZL202323036049.6, Utility Model Patent, China, 2024-05-14

2. Mingming Zhang, Yuzhou Lin. Gait prediction model acquisition method, gait prediction method, device, and walking assistance equipment. CN202510147372.5, Invention Patent, China, 2025-03-14.