Xiaorong Gao

Xiaorong Gao, PhD

Professor, Tsinghua University

Office: Medical Sciences Building, Room B205


PhD, Biomedical Engineering, Tsinghua University (1992)
MS, Biomedical Engineering, Peking Union Medicine University (1989)
BA, Biomedical Engineering, Zhejiang University (1986)

Research Interests

Professor Gao’s research interests lie in brain computer interfaces (BCI), which is sub-branches of neural engineering using 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 the brain functions and why it operates in particular ways.


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

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)

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

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*, Yijun Wang, Bo Hong, and Shangkai Gao, A high-speed BCI based on code modulation VEPJournal of Neural Engineering. 8 (2011) 025015 (5pp) doi: 10.1088/1741-2560/8/2/025015

Chen, X., Wang, Y., Nakanishi, M., Gao, X., Jung, T. P., & Gao, S. (2015). High-speed spelling with a noninvasive brain-computer interface. Proceedings of the National Academy of Sciences of the United States of America, 112(44), E6058.