Jianan Chen

Jianan Chen is a PhD at HUB of Intelligent Neuro-Engineering (HUBIN) of the Division of Surgery and Interventional Science at the University College London(UCL). Her project is mainly focused on fNIRS-EEG based multimodal brain computer interface. Prior to her PhD study, she received his MSc and BEng degrees from the National University of Singapore, and Northeastern University, China, respectively.

Email: jianan.chen.22@ucl.ac.uk

Research Interests

Advanced Development of Multi-modal Brain-Computer Interface (BCI) Technology
Implementation of Multi-modal Brain-Computer Interface (BCI) for Rehabilitation
Integration of Brain-Computer Interface (BCI) and DOT Imaging for Enhanced Neuroimaging Capabilities

Publications

J. Chen et al., "Simultaneous Mental Fatigue and Mental Workload Assessment With Wearable High-Density Diffuse Optical Tomography," IEEE TNSRE, 2025.
J. Chen et al., "fNIRS-EEG brain computer interface for rehabilitation: a review," Bioengineering, 2023.
L. Zhu, J. Chen (co-first author) et al., Wearable Near-Eye Tracking Technologies for Health: A Review, Bioengineering, 2024.
Y. Xia, J. Chen et al., "A Deep-Learning Empowered, Real-Time Processing Platform of fNIRS/DOT for Brain Computer Interfaces and Neurofeedback," IEEE TNSRE, 2025.
S. Gao, J. Chen et al., "Temporal Dynamics and Physical Priori Multimodal Network for Rehabilitation Physical Training Evaluation," IEEE Journal of Biomedical and Health Informatics, 2023.
Y. Zhao, H. Luo, J. Chen et al., "Learning based motion artefacts processing in fNIRS: A mini review", Frontiers in Neuroscience, 2023.
J. Chang, J. Li, J. Ye, B. Zhang, J. Chen et al., "AI-Enabled Piezoelectric Wearable for Joint Torque Monitoring," Nano-Micro Letters, 2025.

Journal Papers

Referred Conference Papers

J. Chen 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).
J. Chen et al., "Mental Fatigue Evaluation With fNIRS/DOT: A Feasibility Study," IEEE Engineering in Medicine and Biology Conference (EMBC), 2024.
A. Thomas, J. Chen et al., "High stimuli virtual reality training for a brain controlled robotic wheelchair," IEEE RAS ICRA, 2024.
J. Li, S. Jones, A. Jamieson, J. Chen 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).

Non-referred Conference Abstracts / Proceedings

J. Chen et al., "An AI-empowered, fNIRS-EEG BCI for Mental State Classification," fNIRS 2024.
J. Chen et al., "Wearable Multimodal BCI System for Motor Imagery / Mental Fatigue," UCL Robotics Symposium 2024.
J. Chen et al., "A Multimodal fNIRS-EEG BCI System for Mental Monitoring of Disabled Wheelchair Athletes," SPIE Photonic West 2024.
J. Chen et al., "An AI-enhanced, multimodal BCI system for wheelchair navigation," RehabWeek, 2023.
J. Chen et al., "Intelligent wearable multimodal BCI system for motor rehabilitation," Cambridge Bioelectronics Symposium, 2023.
J. Chen et al., "An AI-empowered, fNIRS-EEG multimodal BCI for wheelchair control," fNIRS UK, 2023.
J. Chen et al., "Multimodal brain computer interface for motor rehabilitation," Division of Surgery Student Symposium 2023.

List of Awards

2024 fNIRS Society Student Fellow Award
IEEE EMBC 2024 NextGen Scholar Award