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.
Degrees
Tsinghua University, Ph. D., 1992
Peking Union Medical College, M.M., 1989
Zhejiang University, B.Eng., 1986
Appointments
2004 – present Professor,Tsinghua University
1995 – 2003 Associate Professor, Tsinghua University
1992 – 1995 Assistant Professor, Tsinghua University
Selected Publications
[1] Nanlin Shi, Yining Miao, Changxing Huang, Xiang Li, Yonghao Song, Xiaogang Chen, Yijun Wang, Xiaorong Gao, Estimating and approaching the maximum information rate of noninvasive visual brain-computer interface, NeuroImage, 2024, 120548.
[2] Zhouheng Wang, Nanlin Shi, Yingchao Zhang, Ning Zheng, Haicheng Li, Yang Jiao, Jiahui Cheng, Yutong Wang, Xiaoqing Zhang, Ying Chen, Yihao Chen, Heling Wang, Tao Xie, Yijun Wang, Yinji Ma, Xiaorong Gao, Xue Feng, Conformal in-ear bioelectronics for visual and auditory brain-computer interfaces, Nature Communications, 2023, 14: 4213.
[3] Xiang Li, Jingjing Chen, Nanlin Shi, Chen Yang, Puze Gao, Xiaogang Chen, Yijun Wang, Shangkai Gao, Xiaorong Gao, A hybrid steady-state visual evoked response-based brain-computer interface with MEG and EEG, Expert Systems with Applications, 2023, 223: 119736.
[4] Bingchuan Liu, Xiaogang Chen, Xiang Li, Yijun Wang, Xiaorong Gao, Shangkai Gao, Align and pool for EEG headset domain adaptation (ALPHA) to facilitate dry electrode based SSVEP-BCI, IEEE Transactions on Biomedical Engineering, 2022, 69(2): 795-806.
[5] Xiaorong Gao, Yijun Wang, Xiaogang Chen, Shangkai Gao, Interface, interaction, and intelligence in generalized brain-computer interfaces, Trends in Cognitive Sciences, 2021, 25(8): 671-684.
[6] Bingchuan Liu, Xiaogang Chen, Nanlin Shi, Yijun Wang, Shangkai Gao, Xiaorong Gao, Improving the performance of individually calibrated SSVEP-BCI by task- discriminant component analysis, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2021, 29: 1998-2007.
[7] Yijun Wang, Xiaogang Chen, Xiaorong Gao, Shangkai Gao, A benchmark dataset for SSVEP-based brain-computer interfaces, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2017, 25(10): 1746-1752.
[8] Xiaogang Chen, Yijun Wang, Masaki Nakanishi, Xiaorong Gao, Tzyy-Ping Jung, Shangkai Gao, High-speed spelling with a noninvasive brain-computer interface, Proceedings of the National Academy of Sciences of the United States of America, 2015, 112(44): E6058-E6067.
[9] Guangyu Bin, Xiaorong Gao, Zheng Yan, Bo Hong Shangkai Gao, An online multi-channel SSVEP-based brain-computer interface using a canonical correlation analysis method, Journal of Neural Engineering, 2009, 6: 046002.
[10] 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, 2003, 11(2): 137-140.
Contact Information
Email: gxr-dea@tsinghua.edu.cn
Office: Med Sci BLDG, RM B205, Dept. of Biomedical Engineering, Tsinghua University, Beijing, China, 100084
Phone: +86-10-62781539
Webpage: http://www.ncbi.nlm.nih.gov/pubmed/?term=Xiaorong+Gao+Tsinghua
