Dan Zhang Ph.D.

Associate Professor, Department of Psychology, Tsinghua University

Dr. Zhang’s research interests include theories and methods on psychological assessment of human states and traits using neurophysiological techniques such as EEG, fNIRS, etc. His recent funded projects have mainly focused on brain-computer interfaces for emotion recognition, physiological computing for natural human-computer interaction, and physiological monitoring for classroom learning efficacy.


Tsinghua University, Ph.D., 2011

Tsinghua University, B.Eng., 2005


Tsinghua University, Associate Professor, 2016 – current; Assistant Professor, 2013 – 2016;

School of Medicine, Tsinghua University, Postdoctoral Fellow, 2011 – 2013

Selected Publications

Chen, J., Li, Z., Hong, B., Maye, A., Engel, A. K., & Zhang, D.# (2019). A Single-Stimulus, Multitarget BCI Based on Retinotopic Mapping of Motion-Onset VEPs. IEEE Transactions on Biomedical Engineering, 66(2), 464–470.

Ding, Y., Hu, X., Li, J., Ye, J., Wang, F., & Zhang, D.# (2018a). What Makes a Champion: The Behavioral and Neural Correlates of Expertise in Multiplayer Online Battle Arena Games. International Journal of Human-Computer Interaction, 34(8), 682–694.

Ding, Y., Hu, X., Xia, Z., Liu, Y.-J., & Zhang, D.# (2018b). Inter-brain EEG Feature Extraction and Analysis for Continuous Implicit Emotion Tagging during Video Watching. IEEE Transactions on Affective Computing, online publication.

Zhang, Y., Qin, F., Liu, B., Qi, X., Zhao, Y., & Zhang, D.# (2018). Wearable Neurophysiological Recordings in Middle-School Classroom Correlate With Students' Academic Performance. Frontiers in Human Neuroscience, 12, 1–8.

Zhang, D. (2018). Computational EEG Analysis for Hyperscanning and Social Neuroscience. In Im C. (Eds) Computational EEG Analysis (Vol. 44, pp. 1–14). Singapore: Springer Singapore.

Hu, X., Yu, J., Song, M., Yu, C., Wang, F., Sun, P., Wang, D. & Zhang, D.# (2017). EEG Correlates of Ten Positive Emotions. Frontiers in Human Neuroscience, 11(796), 2765.

Zhang, D., Hong, B., Gao, S., & Röder, B.# (2017). Exploring the temporal dynamics of sustained and transient spatial attention using steady-state visual evoked potentials. Experimental Brain Research, 235(5), 1575–1591.

Wang, F., Li, G., Chen, J., Duan, Y., & Zhang, D.# (2016). Novel semi-dry electrodes for brain-computer interface applications. Journal of Neural Engineering, 13(4), 046021.

Zhang, D., Song, H., Xu, R., Zhou, W., Ling, Z., & Hong, B.# (2013). Toward a minimally invasive brain-computer interface using a single subdural channel: a visual speller study. NeuroImage, 71, 30–41.

Zhang, D., Hong, B., Gao, X., Gao, S., & Röder, B.# (2011). Exploring steady-state visual evoked potentials as an index for intermodal and crossmodal spatial attention. Psychophysiology, 48(5), 665–675.

Zhang, D., Maye, A., Gao, X., Hong, B., Engel, A. K., & Gao, S.# (2010). An independent brain–computer interface using covert non-spatial visual selective attention. Journal of Neural Engineering, 7(1), 016010.

Zhang, D., Song, H., Xu, H., Wu, W., Gao, S., & Hong, B.# (2012). An N200 speller integrating the spatial profile for the detection of the non-control state. Journal of Neural Engineering, 9(2), 026016.

Zhang, D., Wang, Y., Gao, X., Hong, B., & Gao, S. (2007). An algorithm for idle-state detection in motor-imagery-based brain-computer interface. Computational Intelligence and Neuroscience, 39714.

Contact Information


Office: Room 334, Mingzhai Building, Tsinghua University, Beijing 100084, China

Phone: +86-10-62796737