高小榕 教授

个人简历 Resume 
2004- 至今 清华大学医学院生物医学工程专业 教授
1995-2003 清华大学医学院生物医学工程专业 副教授
1992-1995 清华大学电机系 讲师
1989-1992 清华大学生物医学工程专业 工学博士
1986-1989 北京协和医科大学 医学硕士
1981-1986 浙江大学科学仪器系 工学学士
2004-Present Professor, Dept. of Biomedical Engineering, Tsinghua University
1995-2004 Associate Professor, Dept. of Biomedical Engineering and Dept. of Electrical Engineering, Tsinghua University
1992-1995 Assistant Professor, Dept. of Electrical Engineering, Tsinghua University

1989-1992 Ph.D., Biomedical Engineering, Tsinghua University
1986-1989 M.S., Biomedical Engineering, Peking Union Medicine University, China

1981-1986 B.A., Biomedical Engineering, Zhejiang University, China
研究领域与方向 Research Fields
主要研究兴趣为脑机接口(BCI),这个神经工程的子分支应用计算技术来探讨人脑内部机能。 BCI 研究目的在于探讨人脑的三个方面:了解大脑、保护大脑和制造大脑。BCI 技术是神经科学、 神经工程、药学和康复学研究的热点课题。长期研究目标是建立有效工具,从理论上和实践上分 析脑电波数据,应用于从基础神经生理学研究、临床研究到神经工程等多个领域,为揭秘人脑如 何原理提供技术手段。
Professor Gao’s research interests lie in brain computer interfaces (BCI). These is sub-branches of neural engineering use computational techniques to explore the inner workings of the brain through distinct perspectives.
The BCI study covers three aspects of human brain exploration: understanding the brain, protecting the brain, and creating the brain. The BCI technology has become a hot research topic in the areas of neuroscience, neural engineering, medicine, and rehabilitation.
Professor Gao’s long-term research goals are to create effective tools for the theoretical and practical analysis of EEG data, with broad applications ranging from basic neurophysiology studies through clinical studies to neural engineering that seek to shed light on how brain functions and why they operates in particular ways.
代表性论文 Selected Publications
1. Xiaorong Gao*, Dingfeng Xu, Ming Cheng, Shangkai Gao, A BCI-based environmental controller for the motion-disabled. IEEE Transaction on Neural Systems and Rehabilitation Engineering, Vol. 11, No.2, p137-140, 2003 (Special issue on Brain-Computer Interfaces)
2. Guangyu Bin, Xiaorong Gao*, Zheng Yan, Bo Hong and Shangkai Gao, An online multi- channel SSVEP-based brain–computer interface using a canonical correlation analysis method, Journal of Neural Engineering, Vol. 6, 2009
3. Guangyu Bin, Xiaorong Gao*, Yijun Wang, Bo Hong, and Shangkai Gao, A high-speed BCI based on code modulation VEP,Journal of Neural Engineering. 8 (2011) 025015 (5pp) doi:10.1088/1741-2560/8/2/025015
4. Xiaogang Chen, Yijun Wang, Masaki Nakanishi, Xiaorong Gao, Tzyy-Ping Jung and Shangkai Gao. High-speed spelling with a noninvasive brain-computer interface. Proc. Natl. Acad. Sci. USA. 112(44): E6058-E6067, 2015.
5. Wei Wu, Chaohua Wu, Shangkai Gao, Baolin Liu, Yuanqing Li and Xiaorong Gao. Bayesian estimation of ERP components from multicondition and multichannel EEG. NeuroImage. 88: 319-339, 2014.
联系方式
+86-10-62781539
gxr-dea@tsinghua.edu.cn