王坤，副教授/正高级工程师，ISO/IEC JTC 1/SC 43 WG5数据工作组专家，中国研究型医院学会神经再生与修复专业委员。主要研究方向为脑-机接口、运动意图脑电信号特征提取及其在神经康复中的应用。作为技术骨干主持或参与国家重点研发计划、国家自然科学基金等项目10项，以第一作者或通讯作者发表学术论文10余篇，授权国家发明专利 5 项，参与编写《脑机接口技术在医疗健康领域应用白皮书（2023年）》。论文获英国物理学会高被引论文奖（IOP China Top Cited Paper Award 2021）、国际医学与生物工程联合会青年学者竞赛三等奖（IFMBE Young Investigator Competition），入选ESI高被引论文、《仪器仪表学报》年度优秀论文。作为技术骨干参与开发脑-机接口综合性开源软件MetaBCI，参研人工神经康复机器人系统，相关成果获天津市技术发明一等奖，全国首届博士后创新创业大赛银奖（创新赛），入选全国创新创业优秀博士后。

脑-机接口、运动意图脑电信号特征提取及其在神经康复中的应用。

主讲课程：

《智能医学信号处理》、《MATLAB与智能计算》

1.     Pan Lincong, Wang Kun*, Xu Lichao, Sun Xinwei, Yi Weibo, Xu Minpeng*, Ming Dong. Riemannian geometric and ensemble learning for decoding cross-session motor imagery electroencephalography signals. Journal of neural engineering, 2023, 20(1): 066011.

2.     Xie Yuting, Wang Kun*, Meng Jiayuan, Yue Jin, Meng Lin, Yi Weibo, Jung Tzyy-Ping, Xu Minpeng*, Ming Dong. Cross-dataset transfer learning for Motor Imagery signal classification via multi-task learning and pre-training. Journal of neural engineering, 2023, 20(1): 056037.

3.     Wang Kun#, Xu Minpeng#, Wang Yijun*, Zhang Shanshan, Chen Long, Ming Dong*. Enhance Decoding of Pre-movement EEG Patterns for Brain-Computer Interfaces. Journal of neural engineering. 2020, 17(1): 016033. (ESI高被引)

4.     Wang Kun#, Wang Zhongpeng#, Guo Yi, He Feng, Qi Hongzhi*, Xu Minpeng, Ming Dong*. A brain-computer interface driven by imagining different force loads on a single hand: an online feasibility study. Journal of neuroengineering and rehabilitation, 2017, 14(1): 93.

5.     Gu Bin, Wang Kun*, Chen Long*, He Jiatong, Zhang Dingze, Xu Minpeng, Ming Dong. Study of the correlation between the motor ability of the individual upper limbs and motor imagery induced neural activities. Neuroscience, 2023, 530: 56-65.

6.     Ma Zhen#, Wang Kun#, Xu Minpeng*, Yi Weibo, Xu, Fangzhou, Ming Dong*. Transformed common spatial pattern for motor imagery-based brain-computer interfaces. Frontiers in Neuroscience, 17: 1116721.

7.     Liu Chang#, You Jia#, Wang Kun*, Zhang Shanshan, Huang Yining, Xu Minpeng, Ming Dong. Decoding the EEG patterns induced by sequential finger movement for brain-computer interfaces. Frontiers in Neuroscience, 2023, 17: 1180471.

8.     Chen Chao#, Wang Kun#, Abdelkader Nasreddine Belkacem, Lu Lin, Yi Weibo, Liang Jun, Huang Zhaoyang, Ming Dong*. A comparative analysis of sleep spindle characteristics of sleep-disordered subjects and normal subjects. Frontiers in Neuroscience, 17: 1110320.

9.     Wang Kun，Tian Feifan，Xu Minpeng*，Zhang Shanshan，Xu Lichao，Ming Dong*. Resting-state EEG in alpha rhythm may be indicative of the performance of motor imagery-based brain-computer interface. Entropy, 2022, 24(11), 1556.

10.   Wang Kun#, Tian Feifan#, Pan Lincong, Xu Minpeng*, Li Minglun, Dong Bowen, Ming Dong. Virtual Reality Game-Based Adaptive Neurofeedback Training for Motor Imagery. 2023 12th Asian-Pacific Conference on Medical and Biological Engineering-Proceedings of APCMBE 2023. （IFMBE青年论文奖）

11.   Wang Kun, Liu Chang, Zhang Shanshan, Huang Yining, Xu Minpeng*, Ming Dong. EEG Patterns and Classification of Different Sequential Finger Movements. 2022 IEEE International Conference on Cyborg and Bionic Systems (CBS 2022). 2023: 396-401.

12.   Wang Kun#, Huang Yining#, Xu Lichao, Liu Chang, Xu Minpeng*, Ming Dong. Decoding of Pre-movement EEG Patterns Using Cross-entropy Loss-based Ensemble Learning. 16th ICME International Conference on Complex Medical Engineering (CME). 2022: 260-263.

13.   Wang Kun#, Xu Minpeng#, Zhang Shanshan, Ke Yufeng, Ming Dong*. Analysis and classification for EEG patterns of force motor imagery using movement related cortical potentials. 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 2018: 211-214.

14.   Wang Kun, Wang Zhongpeng, Guo Yi, He Feng, Qi Hongzhi*, Xu Minpeng, Ming Dong*. An EEG study on hand force imagery for brain-computer interfaces. 8th International IEEE/EMBS Conference on Neural Engineering. 2017: 668-671.

15.   Wang Kun, Wang Zhongpeng, Zhou Peng, Qi Hongzhi, He Feng, Liu Shuang, Ming Dong*. MEP analysis of hand motor imagery with bimanual coordination under transcranial magnetic stimulation. IEEE 7th International Conference on Awareness Science and Technology. 2015: 111-114.

16.   陈龙, 张定泽, 王坤*, 许敏鹏, 明东. 运动意图的头皮脑电编解码及其脑-机接口研究进展. 电子与信息学报，2023,45(5): 1-10.

17.   潘林聪，王坤*，许敏鹏，倪广健，明东. 面向运动意图解码的共空间模式及其扩展算法研究综述. 中国生物医学工程学报，2022, 41(5), 577-588.

18.   王坤, 许敏鹏, 徐立超, 陈龙, 明东*. 静息态脑电信号Lemple-Ziv复杂度与运动想象响应能力的相关性. 航天医学与医学工程, 2020, 33(4): 283-289.

19.   明东, 王坤, 何峰, 綦宏志, 万柏坤. 想象动作诱发生理信息检测及其应用研究:回顾与展望. 仪器仪表学报, 2014, 35(9): 1921-1931.

1．2023.1-2025.12，国家自然科学基金青年科学基金项目，矢量空间运动意图的头皮脑电编解码与脑-机接口研究，主持。

2. 2022.8-2027.7，科技创新2030-“脑科学与类脑研究”重大项目，基于忆阻器神经形态芯片的新型脑机接口技术与应用，参与。

3. 2021.12-2024.11，国家重点研发计划（子课题），基于自主芯片系统的多场景示范应用，参与。

4. 2023.3-2023.12，技术开发项目，基于虚拟现实场景的训练型运动想象脑-机接口模型技术开发，主持。

5. 2023.1-2023.12，天津大学自主创新基金，基于高密度电极的精细运动意图解码方法研究，主持。

2024，天津市技术发明一等奖

2023，高等教育（本科）国家教学成果二等奖

2023，世界机器人大赛BCI脑控机器人大赛二等奖

2023，IFMBE Young Investigator Competition Finalist The Third Award

2022, 天津市教学成果特等奖

2021，IOP China Top Cited Paper Award 2021

2021, 第一届全国博士后创新创业大赛总决赛银奖

2021, 全国创新创业优秀博士后

2016，Excellence Award for Student Paper Competition in THAFGBE 2016

2015, 《仪器仪表学报》2014年度优秀论文

国际标准化组织/国际电工委员会下设第一联合技术委员会脑机接口分技术委员会（ISO/IEC JTC 1/SC 43）WG5数据工作组专

中国研究型医院学会神经再生与修复专业委员