2014-2020, 350vip8888新葡的京集团机械电子工程专业，博士（硕博连读）
2006-2010, 华中科技大学材料成型与控制工程，学士

2024.01- 至今,      350vip8888新葡的京集团，副教授
2022.07-2023.12, 350vip8888新葡的京集团，助理教授 (博导)
2020.07-2022.06, 350vip8888新葡的京集团，博士后
2017.03-2018.03, 美国沃兹沃斯研究中心，访问学者
2010.07-2013.07, 飞利浦医疗有限公司，研发工程师

脑机交互与生机电系统

1：植入式脑机接口技术
2：神经调控与感知重建技术
3：生机电一体化系统设计
4：脑神经系统疾病数字诊疗

欢迎对人机交互前沿研究感兴趣的博士/硕士研究生与本科生 (25级还有一个专硕名额)！提供一流的科研条件及国内外交流机会, 课题组气氛轻松活跃, 优秀学生可推荐至海外名校继续深造

《Frontiers in Human Neuroscience》 Review Editor,
《Frontiers in Neuroscience》 Review Editor,
BCI Society Member
中国生物医学工程学会会员
中国神经科学学会会员

2025-2028，国家自然科学基金面上项目，面向上肢连续运动解码与触觉感知的双向-闭环侵入式脑机接口设计，负责人
2023-2026，上海市自然科学基金面上项目，基于超高密度柔性皮层传感的连续运动解码与脑机接口设计，负责人
2023-2027，国家自然科学基金重大仪器研制项目，运动单元放电序列非侵入式记录仪器，参与
2022-2024，国家自然科学基金青年项目，面向肢体运动功能重建的侵入式脑机接口运动解码增强技术研究，负责人
2020-2022，中国博士后科学基金面上项目，基于侵入式脑机接口的运动解码增强技术研究，负责人
2020-2022，350vip8888新葡的京集团“交大之星”计划医工交叉基金青年项目，基于立体定向脑电信号的运动想象实时脑机接口研究，工学负责人
2020-2024，国家自然科学基金重大研究计划集成项目，面向肢体运动功能重建的生机电一体化机器人技术，参与
2019-2021，国家自然基金委共融机器人重大研究计划培育项目，基于侵入式脑机接口的脑控机器人手臂研究，参与
2018-2021，上海市科委基础研究重大项目，神经信号测量、解码与神经交互基础研究， 参与
2018-2020，国家自然基金委国际地区合作项目，基于脑机交互的上肢外骨骼康复系统研究，参与
2016-2019，上海市科委基础研究重大项目，脑影像数据库与功能重建量化评估研究, 参与
2011-2016，国家科技部973计划课题，生物信号中人体运动信息表征与自适应解码，参与

在神经交互、神经影像、生机电一体化领域国际权威期刊NeuroImage、Cerebral Cortex、Journal of Neural Engineering, IEEE JBHI, IEEE TBME等发表SCI/EI论文24篇（中科院1区/交大A档13篇，#co-first author）

【2024】
25. Luo R.J.#, Meng J.J.#, Wei Y.X., Mai X.M., and Li G.Y., "Outcome processing response coupled to feedback-related EEG dynamics during discrete and continuous performance monitoring" (TBD)
24. Meng J.J.#, Li S.W.#, Li G.Y., Luo R.J., Sheng X.J., and Zhu X.Y., "Improving Reliability of Life Applications Using Model-Based Brain Switches via SSVEP", IEEE Transactions on Biomedical Engineering, 2024.
23. Meng J.J.#, Li S.W.#, Li G.Y., Luo R.J., Sheng X.J., and Zhu X.Y., "Virtual Physical Model-based Brain Switch via Periodic Active Modulation for Asynchronous Brain-Computer Interfacing", Journal of Neural Engineering, vol. 21, 2024.
22. Wu X.L., Li G.Y., Gao X., Metcalfe B., Zhang D.G., "Channel ion for Stereo-Electroencephalography (SEEG)-Based Invasive Brain-Computer Interfaces Using Deep Learning Methods". IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 32, pp. 800-811, 2024.
21. Wu X.L., Zhang D.G., Li G.Y., Gao X., Metcalfe B.,and Chen L., "Data augmentation for invasive brain-computer interfaces based on stereo-electroencephalography (SEEG)", Journal of Neural Engineering, vol. 21, 2024.
【2023】
20. Li G.Y.#, Jiang S.Z.#, Meng J.J., Wu Z.H., Jiang H.T., Fan Z., Hu J., Sheng X.J., Zhang D.G., Schalk G., Chen L., and Zhu X.Y., "Spatio-temporal Evolution of Human Neural Activity During Visually-cued Hand Movements", Cerebral Cortex, bhad242, 2023.
19. Wu X.L., Jiang S.Z., Li G.Y., Liu S.J., Metcalfe B., Chen L., and Zhang D.G., "Deep Learning with Convolutional Neural Networks for Motor Brain-Computer Interfaces based on Stereo-electroencephalography (SEEG)", IEEE Journal of Biomedical and Health Informatics (IF:7.021), pp. 1-12, 2023.
【2022】
18. Li G.Y., Jiang S.Z., Meng J.J., Chai G.H., Fan Z., Hu J., Sheng X.J., Zhang D.G., Chen L., and Zhu X.Y., "Assessing differential representation of hand movements in multiple domains using stereo-electroencephalographic recordings", NeuroImage (IF:7.400), vol.250, p. 118969, 2022.
17. Ye, H.P., Li G.Y., Sheng, X.J., and Zhu, X.Y., "Phase-Amplitude Coupling Between Low-frequency Scalp EEG and High-frequency Intracranial EEG During Working Memory Task", Journal of Neural Engineering (IF:5.379), 2022.
16. Chai G.H., Wang H., Li G.Y., Sheng X.J., and Zhu X.Y., "Electrotactile feedback improves grip force control and enables object stiffness recognition while using a myoelectric hand", IEEE Transactions on Neural Systems and Rehabilitation Engineering(IF: 4.528), vol. 30, p. 1310-1320, 2022.
15. Wu X.L.#, Li G.Y.#, Jiang S.Z., Wellington S., Liu S.J., Wu Z.H., Metcalfe B., Chen L., and Zhang D.G., "Decoding Continuous Kinetic Information of Grasp from Stereo-electroencephalographic (SEEG) Recordings", Journal of Neural Engineering, 2022.
14. Ye, H.P., Fan, Z., Li, G.Y., Wu, Z.H., Hu, J., Sheng, X.J., Chen, L. and Zhu, X.Y., "Spontaneous State Detection Using Time-Frequency and Time-Domain Features Extracted From Stereo-Electroencephalography Traces". Frontiers in Neuroscience (IF: 4.677), 16, 2022.
【2021】
13. Li G.Y., Jiang S.Z., Paraskevopoulou S.E., Chai G.H., Wei Z.X., Liu S.J., Wang M., Xu Y., Fan Z., Wu Z.H., Chen L., Zhang D.G., and Zhu X.Y., "Detection of Human White Matter Activation and Evaluation of Its Function in Movement Decoding Using Stereo-electroencephalography (SEEG)", Journal of Neural Engineering, vol. 18, p. 0460c6, 2021.
12. Cao L.F., Li G.Y., Xu, Y., Zhang H., Shu X.K., and Zhang D.G., "A brain-actuated robotic arm system using non-invasive hybrid brain-computer interface and shared control strategy", Journal of Neural Engineering, vol. 18, p. 046045, 2021.
11. Liu S.J.#, Li G.Y.#, Jiang S.Z., Wu X.L., Hu J., Zhang D.G., and Chen L., "Investigating Data Cleaning Methods to Improve Performance of Brain–Computer Interfaces Based on Stereo-Electroencephalography", Frontiers in Neuroscience, vol. 15, p. 1239, 2021.
10. Ye, H.P., Fan, Z., Chai, G.H., Li, G.Y., Wei, Z.X., Hu, J., Sheng, X.J., Chen, L. and Zhu, X.Y., "Self-related Stimuli Decoding with Auditory and Visual Modalities using Stereo-electroencephalography". Frontiers in Neuroscience, 15, p. 487, 2021.
【2020】
9. Wang M.#, Li G.Y.#, Jiang S.Z., Wei Z.X., Hu J., Chen L., and Zhang D.G., "Enhancing Gesture Decoding Performance Using Signals from Posterior Parietal Cortex: A Stereo-Electroencephalograhy (SEEG) Study", Journal of Neural Engineering, vol. 17, p. 046043, 2020.
8. Fontanillo Lopez C.A., Li G.Y., and Zhang D.G., "Beyond Technologies of Electroencephalography (EEG): A Review from Commercial and Ethical Aspects". Frontiers in Neuroscience, 14, p.1271, 2020.
【2019】
7. Li G.Y., Jiang S.Z., Chen C., Brunner P., Wu Z.H., Schalk G., Chen L., and Zhang D.G., "iEEGview: an open-source multifunction GUI-based Matlab toolbox for localization and visualization of human intracranial electrodes", Journal of Neural Engineering, vol. 17, p. 016016, 2019.
【2018】
6. Li G.Y., Jiang S.Z., Paraskevopoulou S.E., Wang M., Xu Y., Wu Z.H., Chen L., Zhang D.G., and Schalk G.,“Optimal referencing for stereo-electroencephalographic (SEEG) recordings”, NeuroImage, vol. 183, pp. 327-335, 2018.
5. Li G.Y., Jiang S.Z., Wang M., Wu Z.H., Brunner P., Schalk G., Chen L., and Zhang D.G., "SEEGview: A Toolbox for Localization and Visualization of Stereo-Electroencephalography (SEEG) Electrodes", 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 67-70，2018 (EI).
4. Wang M., Li R.J., Zhang R.F., Li G.Y., and Zhang D.G., "A Wearable SSVEP-Based BCI System for Quadcopter Control Using Head-Mounted Device", IEEE Access (IF:3.367), vol. 6, pp. 26789-26798, 2018.
【2017】
3. Li G.Y., Jiang S.Z., Xu Y., Wu Z.H., Chen L., and Zhang D.G., "A preliminary study towards prosthetic hand control using human stereo-electroencephalography (SEEG) signals", The 8th International IEEE/EMBS Conference on Neural Engineering (NER), pp. 375-378, 2017 (EI).
2. Mashat M. E. M., Li G.Y., and Zhang D.G., "Human-to-human closed-loop control based on brain-to-brain interface and muscle-to-muscle interface", Scientific Reports (IF:4.379), vol. 7, p. 11001, 2017.
【2016】
1. Li G.Y., and Zhang D.G., "Brain-Computer Interface Controlled Cyborg: Establishing a Functional Information Transfer Pathway from Human Brain to Cockroach Brain", PLoS One (IF: 3.240), vol. 11, p. e0150667, 2016.

1. 利用侵入式脑-机接口实现机器人手臂实时运动控制软件，2016SR155342，2016
2. 用于立体脑电图电极定位的多功能MATLAB工具包软件， 2018SR903174 , 2018