Neuroscience CommunityBACK

Gao, Xiaorong
Professor, School of Medicine, Tsinghua University

Office: B205, Medicial Sciences Building
Phone: +86-10-62781539
Email: gxr-dea@tsinghua.edu.cn
Lab homepage: http://neuro.med.tsinghua.edu.cn

 

[Research Focus]

Professor Gao’s research interests lie in two sub-branches of neural engineering: neural signal processing and brain computer interfaces (BCI). These two 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.

[Education & Experience] 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. in Biomedical Engineering, Tsinghua University
1986–1989      M.S. in Biomedical Engineering, Peking Union Medicine University, China
1981–1986      B.A. in Biomedical Engineering, Zhejiang University, China
[Selected Publications]

1. Xiaorong Gao*, DingfengXu, Ming Cheng, ShangkaiGao, 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. M Cheng; Xiaorong Gao; S Gao*; D Xu, Design and implementation of a brain-computer interface with high transfer rates, IEEE Transactions on Biomedical Engineering, Vol.49 No.10, p1181 – 1186, 2002

3. Guangyu Bin, Xiaorong Gao*, Wang Y., Hong B. and Gao S.. VEP Based Brain-Computer Interfaces: Time,Frequency and Code Modulations. IEEE Computational Intelligence Magazine, 4: 22–26, 2009

4. 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

5. 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

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