Jinchen Li
Jinchen Li is a PhD student at HUB of Intelligent Neuro-Engineering (HUBIN) of the Division of Surgery and Interventional Science at the University College London (UCL). His project is mainly focused on wearable muscle imaging and investigation of fatigue. Prior to his PhD study, he received his BEng degree from the Southern University of Science and Technology, China.
Research Interests
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Investigation of muscle function via wearable fNIRS device
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Functional investigation of the brain during various motor tasks involving fatigue
Publications
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Z. Wang, F. Mi, J. Li et al., "Bone Marrow Stromal Cells Sorted by Semiconducting Polymer Nanodots for Bone Repair," ACS Biomater Sci Eng. 2023.
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Y. Xia, J. Chen, J. Li et al., "A Deep-Learning Empowered, Real-Time Processing Platform of fNIRS/DOT for Brain Computer Interfaces and Neurofeedback," IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2025.
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J. Chang, J. Li et al., "AI-Enabled Piezoelectric Wearable for Joint Torque Monitoring," Nano-Micro Letters, 2025.
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J. Chen, H. Yang, Y. Xia, J. Li et al., "Exploring High-Density DOT for Three-dimensional Imaging of Mental State using CNN and Transformer Models," IEEE EMBS 12th Annual International Conference on Neural Engineering, 2025 (under review).
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J. Li et al., "Machine Learning-Enhanced High Density Near-Infrared Spectroscopy for Exercise Intensity Estimation," IEEE EMBS 12th Annual International Conference on Neural Engineering, 2025 (under review).
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J. Li et al., "Real-Time Motion Artifact Removal in fNIRS with Denoising Autoencoder at the Edge," IEEE International Symposium on Circuits and Systems, 2025.
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People’s Choice Award: Best Presentation ( Division of Surgery and Intervention Science Student Research Symposium 2025)