个人简介 / Biography

黄淦，上海交通大学博士、比利时法语鲁汶大学博士后，现任深圳大学医学部生物医学工程学院副教授、特聘研究员，长期从事神经解码与精准神经调控研究，聚焦脑机接口、神经调控与神经假肢应用。

黄淦，博士毕业于上海交通大学，后于比利时法语鲁汶大学从事博士后研究工作，目前在深圳大学医学部生物医学工程学院工作。他长期致力于精细神经解码方法的研发与精准神经调控技术的创新，积极推动科研成果向实际应用转化，重点应用于脑机接口、神经调控及神经假肢等领域。

  • 在 Neuroimage、Neural Network 等高水平杂志发表 SCI 论文 70 余篇，获得专利 8 项，谷歌学术 H 指数为 32；
  • 担任 Cognitive Neurodynamics 副主编，IEEE TNNLS、TNSRE、TBME 等多个期刊审稿人；
  • 承担国家自然科学基金 2 项，省市科研项目多项；
  • 2021 年获教育部自然科学一等奖；
  • 编写脑电信号处理专用软件 Letswave7。

Huang Gan, Ph.D., graduated from Shanghai Jiao Tong University and later conducted postdoctoral research at the University of Louvain in Belgium. He is currently with the School of Biomedical Engineering, Health Science Center, Shenzhen University. His research focuses on fine-grained neural decoding and precise neural modulation, with key applications in brain-computer interfaces, neural modulation, and neural prosthetics.

研究方向 / Interests

  • 神经调控 / Neural Modulation
  • 脑机接口 / Brain Computer Interface
  • 神经假肢 / Neural Prosthetics

教育背景 / Education

  • 博士，机械电子工程 / PhD in Mechanical and Electronic Engineering, 2012
    上海交通大学 / Shanghai Jiao Tong University
  • 硕士，应用数学 / MEng in Applied Mathematics, 2008
    东南大学 / Southeast University
  • 学士，信息与计算科学 / BSc in Information and Computing Science, 2005
    东南大学 / Southeast University

科研项目 / Research Projects

  • 国自然面上 62271326，基于听觉高熵响应的闭环脑机接口研究，55 万元，主持，在研
  • 国自然青年 61701316，用于 alpha 波调制的毫秒级实时解码神经反馈系统，24.5 万元，主持，已结题
  • 深圳市重点 JCYJ20241202124222027，基于脑信息实时精细解码控制的无创脑机接口系统和应用研究，200 万元，主持，在研
  • 深圳市面上 JCYJ20190808173819182，基于脑电精准智能调控的新型无训练神经反馈系统研究，30 万元，主持，已结题
  • 深圳市重点 JSGG20210713091811038，高精度、多通道、无创双向脑机接口关键技术研发，1200 万元，参与，已结题

代表性论文 / Representative Publications

查看全部论文 / SEE ALL PUBLICATIONS

1. Exoskeleton-guided passive movement elicits standardized EEG patterns for generalizable BCIs in stroke rehabilitation

Zhang, X., Xie, L., Liu, W., Liang, S., Huang, L., Wang, M., Tian, L., Huang, G., Zhang, L., Liang, Z., Li, H. and Zhang, Z. (2025) 'Exoskeleton-guided passive movement elicits standardized EEG patterns for generalizable BCIs in stroke rehabilitation', Journal of NeuroEngineering and Rehabilitation. doi:10.1186/s12984-025-01627-7.

[doi] [pdf]

2. M3CV: A multi-subject, multi-session, and multi-task database for EEG-based biometrics challenge

Huang, G., Hu, Z., Chen, W., Zhang, S., Liang, Z., Li, L., Zhang, L. and Zhang, Z. (2022) 'M3CV: A multi-subject, multi-session, and multi-task database for EEG-based biometrics challenge', NeuroImage. doi:10.1016/j.neuroimage.2022.119666.

[doi] [pdf]

3. A new perspective on individual reliability beyond group effect for event-related potentials: A multisensory investigation and computational modeling

Hu, Z., Zhang, Z., Liang, Z., Zhang, L., Li, L. and Huang, G. (2022) 'A new perspective on individual reliability beyond group effect for event-related potentials: A multisensory investigation and computational modeling', NeuroImage. doi:10.1016/j.neuroimage.2022.118937.

[doi] [pdf]

4. A novel training-free externally-regulated neurofeedback (ER-NF) system using phase-guided visual stimulation for alpha modulation

Huang, G., Liu, J., Li, L., Zhang, L., Zeng, Y., Ren, L., Ye, S. and Zhang, Z. (2019) 'A novel training-free externally-regulated neurofeedback (ER-NF) system using phase-guided visual stimulation for alpha modulation', NeuroImage. doi:10.1016/j.neuroimage.2019.01.072.

[doi] [pdf]

5. A novel approach to predict subjective pain perception from single-trial laser-evoked potentials

Huang, G., Xiao, P., Hung, Y.S., Iannetti, G.D., Zhang, Z.G. and Hu, L. (2013) 'A novel approach to predict subjective pain perception from single-trial laser-evoked potentials', NeuroImage. doi:10.1016/j.neuroimage.2013.05.017.

[doi] [pdf]