Xiaorong Gao Ph.D.
Professor, Department of Biomedical Engineering, Tsinghua University
Principal Investigator, McGovern Institute for Brain Research, Tsinghua University
Dr. Gao’s research interests lie in the brain computer interfaces (BCI). In recent years, the BCI technology has become a hot research topic in the areas of neuroscience, neural engineering, medicine, and rehabilitation. Research at the Gao Lab uses the BCI technology—neural engineering and computational techniques—to understand, protect, and create the brain. The long term research goal is to create effective tools for the theoretical and practical analysis of EEG data. These tools will have broad applications, ranging from basic neurophysiological studies, clinical studies, to neural engineering uses. Development of this tool will shed light on how the brain functions and why it operates in particular ways.
Tsinghua University, Ph. D., 1992
Peking Union Medical College, M.M., 1989
Zhejiang University, B.Eng., 1986
Tsinghua University, Professor, 2004 – current; Associate Professor, 1995 – 2003; Assistant Professor, 1992 - 1995
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.
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).
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).
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).
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).
Office: Med Sci BLDG, RM B205, Dept. of Biomedical Engineering, Tsinghua University, Beijing, China, 100084