个人简介

王韬，工学博士，天津大学医学院助理研究员。2017年毕业于东南大学生物科学与医学工程学院，2020年和2024年分别于天津大学精仪学院生物医学工程系获得硕士和博士学位。主要研究方向为脑-机接口与多模态脑解码技术，重点关注疲劳、情绪及精神疾病状态相关的神经活动特征识别与跨个体解码泛化方法。近年来，以第一作者或通讯作者身份在 Journal of Neural Engineering、IEEE Journal of Biomedical and Health Informatics 等国际知名学术期刊发表高水平论文10余篇，作为主要成员参与国家重点研发计划、国家自然科学基金重点项目等多项国家级科研课题。

主要研究方向

脑-机接口、非侵入式脑电与眼动分析、多模态解码模型、精神疾病的调控技术研究

代表性学术成果

[1] Wang Tao, Ke Yufeng, Huang Yichao, He Feng, Zhong Wenxiao, Liu Shuang and Ming Dong. Using Semi-supervised Domain Adaptation to Enhance EEG-Based Cross-Task Mental Workload Classification Performance[J]. IEEE Journal of Biomedical and Health Informatics, 2024, 28(12): 7032-7039.

[2] Ke Yufeng#, Wang Tao#, He Feng, Liu Shuang and Ming Dong. Enhancing EEG-based cross-day mental workload classification using periodic component of power spectrum[J]. Journal of Neural Engineering, 2023, 20(6): 066028.

[3] Wang Tao, Ke Yufeng, He Feng and Ming Dong. Improving EEG-Based Cross-Subject Mental Workload Classification Performance with Euclidean-Aligned Periodic and Aperiodic Features[C]//2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

[4] Wang Tao, Liu Pengxiao, An Xingwei, Ke Yufeng, Xu Jinzhao, Xu Minpeng, Kong Linghan, Liu Wentao and Ming Dong. Modeling Strategies and Spatial Filters for Improving the Performance of P300-speller within and across Individuals[C]//2019 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA). IEEE, 2019: 1-5.

[5] Gao Lipeng, Wang Tao, An Xingwei and Ke Yufeng. Transfer Blocks Method on Multi-degrees Mental Workload Assessment with EEG[C]//2022 In International Conference on Human-Computer Interaction. Springer,2022: 142-150.

[6] Gao Lipeng, Wang Tao, Zhong Wenxiao, Ke Yufeng and An Xingwei. Modified mental workload index: Measure it with task difficulty degree and performance, Verified it with cross-time classification[C]//In Proceedings of the 2022 9th International Conference on Biomedical and Bioinformatics Engineering (ICBBE). ACM, 2022, 173-177.

[7] 王韬, 何峰. 基于脑电信号的任务诱发疲劳监测的关键挑战与展望[J]. 中国生物医学工程学报, 2025, 44(2): 221-231.

[8] 王韬, 柯余峰, 王宁慈, 刘文陶, 安兴伟, 明东. 空间滤波方法在脑-机接口中的应用及研究进展[J].中国生物医学工程学报, 2019, 38(5):10-14.

[9] 马可, 柯余峰, 王韬, 明东. 基于事件相关电位的认知负荷对任务时间效应的影响规律研究[J].中国生物医学工程学报, 2024, 43(2):143-152.

[10] Ke Yufeng, Chen Xiaohe, Xu wei, Wang Tao, Shen Shuaishuai, Ming Dong. High-Frequency SSVEP-BCI with Row-Column Dual-Frequency Encoding and Decoding Strategy for Reduced Training Data[J]. IEEE Journal of Biomedical and Health Informatics, 2024, 29(3): 1897-1908.

[11] Han Yuheng, Ke Yufeng, Wang Ruiyan, Wang Tao and Ming Dong. Enhancing SSVEP-BCI Performance under Fatigue State Using Dynamic Stopping Strategy[J]. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2024, 32: 1407-1415.

科研项目

[1] 12021-2024，高性能神经电生理编解码关键技术（2021YFF1200603），国家重点研发计划项目，参与

社会学术兼职

脑功能检测与调控康复专委会 委员

Journal of Neural Engineering、Information Fusion、Biomedical Signal Processing and Control 审稿人