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> 人才队伍 (New) > 智慧医疗与健康类

黄骐云

个人简介

黄骐云，男，人工智能与数字经济广东省实验室（广州） 研究员，国家海外高层次人才，入选广东省重大人才工程青年项目、广州市重大人才工程青年项目、广州市青年科技人才托举工程，主持国自然青年基金、广东省自然基金面上项目、广州市重点领域研究计划等，发表高水平学术论文30余篇，授权国家专利7项。

研究领域

研究方向聚焦脑机接口与脑/精神疾病交叉领域研究，围绕多模态信号融合分析、复杂系统集成控制、可穿戴人机交互等方向开展技术攻关，构造新型非侵入式脑机接口及脑信号解码算法，对相关精神疾病病理机制进行深入研究。近期重点关注方向包括运用脑机接口等人工智能技术，结合可解释孤独症神经病理假说，寻找客观量化的孤独症识别和分型生物标记，开发新型智能辅助诊断和评估方法，并探索在临床干预和药物转化试验等领域的应用。

教育经历

  • 2016年9月-2019年12月，华南理工大学，自动化科学与工程学院，脑机接口与脑信息处理中心，模式识别与智能系统专业，博士  
  • 2013年9月-2015年7月，南加利福尼亚大学（美国），电子工程学院，硕士
  • 2009年9月-2013年7月，北京航空航天大学，自动化科学与电气工程学院，学士

工作经历

  • 2023年4月-至今，人工智能与数字经济广东省实验室（广州），琶洲实验室-脑机智能研究中心，研究员
  • 2020年1月-2023年3月，伦敦大学国王学院（英国），精神病学、心理学和神经科学研究所，博士后副研究员

科研项目情况

  1. 国家优秀青年科学基金（海外）项目，2025-2028，主持
  2. 国家自然科学基金青年基金项目, 2025-2027，主持
  3. 广东省重大人才工程青年项目，2024，主持
  4. 广东省自然科学基金面上项目，2024-2026，主持
  5. 广州市重大人才工程青年项目，2024-2029，主持
  6. 广州市青年科技人才托举工程，2024-2026，主持
  7. 广州市重点领域研发计划项目，2024-2027，主要参与人（项目50万，本人20万）
  8. 人工智能与数字经济广东省实验室人才引进项目，2024-2027，主持

论文论著

  1. Q. Huang, A. Pereira, H. Velthuis, N. Wong, C. Ellis, F. Ponteduro, M. Dimitrov, L. Kowaleski, D. Lythgoe, D. Rotaru, R. Edden, A. Leonard, G. Ivin, J. Ahmad, C. Pretzsch, E. Daly, D. Murphy, and G. McAlonan, “GABAB receptor modulation of visual sensory processing in adults with and without Autism Spectrum Disorder,” Science Translational Medicine, vol. 14, no. 626, eabg7859, Jan. 2022. (Science子刊，中科院一区Top)
  2. Q. Huang*, H. Velthuis, A. Pereira, J. Ahmad, S. Cooke, C. Ellis, F. Ponteduro, N. Puts, M. Dimitrov, D. Batalle, N. Wong, L. Kowalewski, G. Ivin, E. Daly, D. Murphy, G. McAlonan, “Exploratory evidence for differences in GABAergic regulation of auditory processing in Autism Spectrum Disorder,” Translational Psychiatry, 13.1: 320, 2023. (中科院一区Top)
  3. Q. Huang, C. Ellis, S. Leo, H.Velthuis, A. Pereira, M. Dimitrov, F. Ponteduro, N. Wong, E. Daly, D. Murphy, O. Mahroo, G. McAlonan, “Retinal GABAergic alterations in adults with autism spectrum disorder”, Journal of Neuroscience, 44(14), March 2024, 10.1523/jneurosci.1218-23.2024. (中科院一区Top)
  4. Q. Huang, Y. Chen, Z. Zhang, S. He, R. Zhang, J. Liu, Y. Zhang, M. Shao, and Y. Li, “An EOG-based wheelchair robotic arm system for assisting patients with severe spinal cord injuries,” Journal of Neural Engineering, vol. 16, no. 2, p.026021, Feb. 2019. (中科院二区)
  5. Q. Huang, S. He, Z. Gu, N. Peng, K. Li, and Y. Li, “An EOG-based human-machine interface for wheelchair control,” IEEE Transactions on Biomedical Engineering, vol. 65, no. 9, pp. 2023-2032, Sep. 2018. (IEEE Trans，中科院二区)
  6. Q. Huang, Z. Zhang, T. Yu, S. He, and Y. Li, “An EEG-EOG-based hybrid brain-computer interface: Application on controlling an integrated wheelchair robotic arm system,” Frontiers in Neuroscience, vol. 22, no. 13, p. 1243, Nov. 2019. (中科院二区)
  7. X. Bao, X. Feng, H. Huang, M. Li, D. Chen, Z. Wang, J. Li, Q. Huang*, Y. Li. Day-night hyperarousal in tinnitus patients [J]. Sleep Medicine, 131: 106519, 2025. (中科院二区)
  8. Feng X, Bao X, Huang H, Q. Huang* et al. Frontal Gamma-alpha Ratio Reveals Neural Oscillatory Mechanism of Attention Shifting in Tinnitus[J]. iScience, 2025. (中科院二区)
  9. D. Chen, Z. Song, Y. Du, Y. Chen, X. Zhang, Y. Li, and Q. Huang*. “Aperiodic Component Analysis in Quantification of Steady-State Visually Evoked Potentials”. IEEE Transactions on Biomedical Engineering, 2024, DOI 10.1109/TBME.2024.3458060. (IEEE Trans，中科院二区)
  10. X. Bao, X. Feng, D. Chen, H. Huang, Q. Huang* and Y. Li, “Thalamocortical Dysrhythmia-related Sleep Spindle Desynchronization in Patients with Tinnitus”. Neurobiology of Disease, Accept, 2025 (中科院二区Top)
  11. Z. Lu, Y. Zhou, L. Hu, J. Zhu, S. Liu, Q. Huang and Y. Li, “A Wearable Human-Machine Interactive Instrument for Controlling a Wheelchair Robotic Arm System”. IEEE Transactions on Instrumentation and Measurement, 2024. (IEEE Trans，中科院二区)  
  12. K. Li, W. Huang, W. Gao, Z. Guan, Q. Huang, J. Yu, and Y. Li. “An Electroencephalography-Based Brain-Computer Interface for Emotion Regulation with Virtual Reality Neurofeedback”. IEEE Transactions on Cognitive and Developmental Systems, 2024. (IEEE Trans，中科院二区)
  13. Y. Zhou, S. He, Q. Huang, and Y. Li, “A hybrid asynchronous brain-computer interface combining SSVEP and EOG signals,” IEEE Transactions on Biomedical Engineering, vol. 67, no. 10, pp. 2881-2892, Oct. 2020.(IEEE Trans，中科院二区)  
  14. S. He, T. Yu, R. Zhang, Q. Huang, C. Lin, Z. Gu, Z. Yu, H. Tan and Y. Li, “EEG- and EOG-Based Asynchronous Hybrid BCI: A System Integrating a Speller, a Web Browser, an E-Mail Client, and a File Explorer,” in IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 28, no. 2, pp. 519-530, Feb. 2019. (IEEE Trans，中科院二区)
  15. R. Zhang, S. He, X. Yang, X. Wang, K. Li, Q. Huang, Z. Yu, X. Zhang, D. Tang, and Y. Li, “An EOG-based human-machine interface to control a smart home environment for patients with severe spinal cord injuries,” IEEE Transactions on Biomedical Engineering, vol. 66, no. 1, pp. 89-100, Jan. 2019. (IEEE Trans，中科院二区)
  16. Y. Han, L. Du, Q. Huang, D. Cui, and Y. Li. “Enhancing specialization of attention-related EEG power and phase synchronism brain patterns by meditation”. Cerebral Cortex, 2024, 34(7). (中科院二区)
  17. Y. Li, S. He, Q. Huang, Z. Gu, and Z. Yu, “An EOG-based switch and its application for ‘start/stop’ control of a wheelchair,” Neurocomputing, vol. 275, no. 31, pp. 1350-1357, Jan. 2018. (中科院二区)
  18. Y. Jiang, Q. Huang, Y. Li. “Application Strategies of Brain-computer Interface in Education from the Perspective of Innovation Diffusion Theory”. Brain-Apparatus Communication: A Journal of Bacomics, 2024, 3(1): 2376368.
  19. C. Zhang, X. Zhang, D. Chen, S. Chen, Q. Huang*. “Enhancing P300 Amplitudes Using Continuous Theta Burst Stimulation”, International Conference on Computer, Vision and Intelligent Technology (ICCVIT), 2024. (EI国际会议)
  20. J. Chen, X. Bao, Y. Ye, Q. Huang*. “Active Learning for High-Quality Sawtooth Wave Dataset Generation in Sleep Analysis”, The 6th International Conference on Frontier Technologies of Information and Computer (ICFTIC), 2024 (EI国际会议)
  21. Y. Du, Z. Guan, W. Huang, X. Zhang, and Q. Huang*, “A Case-based Channel Selection Method for EEG Emotion Recognition Using Interpretable Transformer,” International Conference on Computer, Vision and Intelligent Technology (ICCVIT), 2023. (EI国际会议)
  22. S. Chen, W. Hu, X. Zhang, and Q. Huang*, “Enhancing detection of SSVEP-based surround suppression using canonical correlation analysis,” International Conference on Computer, Vision and Intelligent Technology (ICCVIT), 2023. (EI国际会议)
  23. J. Zhu, X. Bao, Q. Huang, T. Wang, L. Huang, Y. Han, K. Li, D. Chen, K. Xu, Z. Wang, Y. Jiang, and Y. Li. “Motion Sickness Alleviation Based on a Mindfulness Brain-Computer Interface”, 16th International Conference on Advanced Computational Intelligence (ICACI). IEEE, 2024: 1-6. (EI国际会议)
  24. C. Ellis, J. Ahmad, A. Zoumpoulaki, M. Dimitrov, H. Velthuis, A. Pereira, N. Wong, F. Ponteduro, L. Kowalewski, A. Leonard, P. Garces, Q. Huang, E. Daly, D. Murphy, G. McAlonan, “The dynamically neurodiverse human brain: Measuring excitatoryinhibitory dynamics and identifying homeostatic differences in autistic and non-autistic people”, medRxiv, 2023: 2023.06. 19.23291507.
  25. S. He, Q. Huang, and Y. Li, “Toward improved P300 speller performance in out-door environment using polarizer,” in Proc. 12th IEEE World Congress on Intelligent Control and Automation (WCICA), pp. 3172-3175, 2016. (EI国际会议)
  26. Q. Huang, C. Ellis, S. Leo, H.Velthuis, A. Pereira, M. Dimitrov, F. Ponteduro, N. Wong, E. Daly, D. Murphy, O. Mahroo, G. McAlonan, “Flash electroretinogram as a potential biomarker of GABAergic dysfunction in adults with autism spectrum disorder” [Conference presentation], The 60th Annual Symposium of the International Society for Clinical Electrophysiology of Vision, Kyoto, Japan, March 15th -18th , 2023. (EI国际会议)
  27. C. Ellis, J. Ahmad, A. Zoumpoulaki, H. Velthuis, A. Pereira, N. Wong, M. Dimitrov, F. Ponteduro, L. Kowalewski, A. Leonard, E. Mcgregor, P. Garces, Q. Huang, E. Daly, D. Murphy, G. McAlonan, “The aperiodic 1/f signal as a proxy marker of excitation- inhibition flux in the brain: evidence from individuals with and without autism”, in the Neuroscience 50th Annual Meeting 2021. (EI国际会议)
  28. C. Ellis*, Q. Huang*, H. Velthuis, A. Pereira, N. Wong, F. Ponteduro, M. Dimitrov, A. Leonard, L. Kowalewski, P. Garces, E. Daly, D. Murphy, J. Ahmad, G. McAlonan, “Identifying EEG markers of Excitation and Inhibition in the living human brain,” in the International Society for Autism Research (INSAR) Annual Conference 2022. (co-first author) (EI国际会议)
  29. 陆子霖,周亚军,黄骐云等.基于可穿戴式多模态人机接口的机械臂运动控制方法[J/OL].机器人:1-13. https://doi.org/10.13973/j.cnki.robot.230254. (中文核心)

获得荣誉

  1. “创青春”全国大学生创业大赛暨第十一届“挑战杯”大学生创业计划竞赛 全国金奖 第一完成人 2018
  2. 第四届中国“互联网+”大学生创新创业大赛广东省分赛 创意组金奖 第二完成人 2018
  3. 工信部“创客中国”大健康创新创业大赛 全国二等奖 第一完成人 2018
  4. 教育部博士研究生国家奖学金 2017
  5. 华南理工大学校长奖学金 2019
  6. 华南理工大学优秀博士创新基金资助 2018
  7. 中国电子学会“2017世界机器人大赛”-BCI脑控机器人大赛 一等奖 第二完成人 2017
  8. 华南理工大学宏平长青基金学生科技创新竞赛奖学金 2017

专利情况

  1. 基于眼电的轮椅控制系统，发明专利，华南理工大学，授权号: CN107007407B，ZL201710235251.1
  2. 一种基于眼电和机器视觉的轮椅机械臂集成系统及其控制方法，发明专利，华南理工大学，授权号: CN110840666B.ZL201911133337.9
  3. 一种基于手指开关的人机交互系统及其交互方法，发明专利，华南理工大学，授权号：CN109933270B，ZL201910297611.X
  4. 一种基于视觉刺激界面的表面肌电人机接口系统及其控制方法，发明专利，华南理工大学，授权号：CN110018744B，ZL201910306671.3
  5. 一种智能轮椅室内导航系统，实用新型专利，华南理工大学，授权号: CN207832203U，ZL201820059669.1
  6. 一种基于开关手指的人机交互系统，实用新型专利，华南理工大学，授权号：CN209281336U，ZL202020024917.6 
  7. 一种基于手指姿态解算的人机交互系统，实用新型专利，华南理工大学，授权号：CN211698898U，ZL201920254110.9