top of page

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., fNIRS-EEG brain computer interface for rehabilitation: a review, Bioengineering, 2023.

  • 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.

  • L. Zhu, J. Chen (co-first author) et al., Wearable Near-Eye Tracking Technologies for Health: A Review, Bioengineering, 2024.

  • Y. Zhao, H. Luo, J. Chen et al., Learning based motion artefacts processing in fNIRS: A mini review, Frontiers in Neuroscience, 2023.

Journal Papers

Referred Conference Papers

  • 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.

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., 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

bottom of page