黄淦/Huang Gan

黄淦/Huang Gan

副教授/Associate Professor
特聘研究员/Distinguished Researcher

深圳大学/Shenzhen University

Biography

黄淦,博士毕业于上海交通大学,比利时法语鲁汶大学博士后。他的致力于发展运动、感受相关的鲁棒神经信号解码方法和精准神经调控技术,同时积极将研究成果应用于脑机接口,神经调控以及神经假肢等方面。

  • 在国内外高水平杂志 Neuroimage, Neural Network杂志发表论文40余篇,谷歌学术H指数为20;
  • 担任IEEE TNNLS, TNSRE, TBME, JBHI, JNE, NeuroImage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(排名第7);
  • 编写脑电信号处理软件 Letswave7

Huang Gan, Ph.D., graduated from Shanghai Jiao Tong University and completed his postdoctoral fellowship at the University of Louvain in Belgium. Currently, he is an associate professor, distinguished researcher, in School of Biomedical Engineering, Health Science Center, Shenzhen University. Dr. Huang’s research primarily revolves around the development of robust neural signal decoding methods in the domains of motor and sensory functions, as well as precise neural modulation technologies. His areas of interest extend to the practical applications of scientific research, encompassing brain-computer interfaces, neural modulation, neural prosthetics, and related fields.

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

  • 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

Recent Publications

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(2023). Discrepancy between inter-and intra-subject variability in EEG-based motor imagery brain-computer interface Evidence from multiple perspectives. FRONT NEUROSCI-SWITZ.

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(2023). Functional Connectivity Profiles of the Default Mode and Visual Networks Reflect Temporal Accumulative Effects of Sustained Naturalistic Emotional Experience. NEUROIMAGE.

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(2023). Multimodal and hemispheric graph-theoretical brain network predictors of learning efficacy for frontal alpha asymmetry neurofeedback. COGN NEURODYNAMICS.

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(2022). Selective and replicable neuroimaging-based indicators of pain discriminability. Cell Reports Medicine.

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(2022). Cross-Individual Affective Detection Using EEG Signals with Audio-Visual Embedding. Neurocomputing.

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Recent News

Conference
  • ICDVC 2022 [[pdf]](ICDVC 2022 第一轮通知 PDF V3.pdf) Oct 21-23 - 上海, 中国 (Jun 15 Paper submitting)