Faculty

2001.09 — 2002.07 Academic Talent Program, Physics, Tsinghua University

2001.08 — 2005.07 Bachelor of Engineering, Automation, Tsinghua University

2006.09 — 2011.01 Tsinghua-Hamburg Joint Ph.D. program ‘CINACS’

2005.09 — 2011.01 Ph.D., Biomedical Engineering, Tsinghua University

2011.01 — 2013.04 Postdoc, School of Medicine, Tsinghua University

2013.05 — 2016.12 Assistant professor, Department of Psychology, Tsinghua University

2016.12 — 2024.04 Associate professor, Department of Psychology, Tsinghua University

2024.04 — Present Associate professor, Department of Psychological and Cognitive Sciences, Tsinghua University

My research integrates EEG, near-infrared spectroscopy, and wearable sensors to pioneer affective brain-computer interfaces and computational methods for affective neurophysiology, enabling intelligent assessment in mental health, learning science, and human-computer interaction.

I currently serve as the Associate Editor-in-Chief for IEEE Transactions on Affective Computing, the Co-Editor-in-Chief for Brain Science Advances, and editorial board members for Journal of Neuroscience Methods、Cognitive Neurodynamics、Frontiers in Neuroscience, etc.

I was selected for the Stanford University World’s Top 2% Scientists List 2025.

Hao, S.#, Pan, H.#, Sun, P., Chen, J.*, Zhang, D.* (2026). A Dynamic Eye Movement Alignment Method for Assessing Context-Based Mathematical Problem-Solving. IEEE Transactions on Learning Technologies, DOI: 10.1109/TLT.2026.3688724.

Xu, X., Zhang, D.*, Zhang, Y.* (2026). Student Teacher Inter Brain Coupling Forecast Cross Semester Academic Fluctuation in Real World Classrooms. npj Science of Learning, DOI: 10.1038/s41539-026-00421-x.

Ding, Y.#*, Sun, B.#, Tang, Y., Zhang, D.* (2025). Unveiling the Neural Signature of Group Cohesion in Music Co-Audition. Annals of the New York Academy of Sciences, 1554: 203–215. 

Shen, X.#, Gan, R.#, Wang, K., Yang, S., Zhang, Q., Liu, Q., Zhang, D.*, Song, S.* (2025). Dynamic-Attention-based EEG State Transition Modeling for Emotion Recognition. IEEE Transactions on Affective Computing, 16(4): 3552 - 3568. 

Li, M.#, Su, Y.#, Huang, H., Cheng, J., Hu, X., Zhang, X., Wang, H., Qin, Y., Wang, X., Lindquist, K., Liu, Z.*, Zhang, D.* (2024) Language-specific representation of emotion-concept knowledge causally supports emotion inference. iScience, 111401. (Cover Article)

Shui, X.#, Lin, R.#, Luo, Z.#, Lin, B., Mao, X., Li, H., Liu, R.*, Zhang, D. * (2024). Bodily Electrodermal Representations for Affective Computing. IEEE Transactions on Affective Computing, 15(3): 1018-1025. 

He, W., Luo, H., Zhang, D.*, Zhang, Y.* (2024). Students' Subjective Feelings during Classroom Learning. Learning and Instruction, 91, 101891.

Tang, L.#, Yuan, P.#, Zhang, D.* (2024). Emotional experience during human-computer interaction: a survey. International Journal of Human-Computer Interaction, 40(8): 1845-1855. 

Shen, X.#, Liu, X.#, Hu, X., Zhang, D.*, Song, S.* (2023). Contrastive Learning of Subject-Invariant EEG Representations for Cross-Subject Emotion Recognition. IEEE Transactions on Affective Computing, 14(3): 2496-2511. (ESI highly cited)

Chen, J.#, Wang, X.#, Huang, C., Hu, X., Shen, X., Zhang, D.* (2023). A large finer-grained affective computing EEG dataset. Scientific Data, 10:740. (ESI highly cited)

Chen, J.#, Xiao, Y.#, Xu, B., Zhang, D.* (2023). The Developmental Trajectory of Task-related Frontal EEG Theta/Beta Ratio in Childhood. Developmental Cognitive Neuroscience, 60, 101233. 

Chen, J., Qian, P., Gao, X., Li, B., Zhang, Y.*, Zhang, D.* (2023). Inter-brain coupling reflects disciplinary differences in real-world classroom learning. npj Science of Learning, DOI: 10.1038/s41539-023-00162-1. 

Hu, X., Wang, F., Zhang, D.* (2022). Similar brains blend emotion in similar ways: Neural representations of individual difference in emotion profiles. NeuroImage, 118819 (Cover Article)

Li, W., Wu, C., Hu, X., Chen, J., Fu, S., Wang, F.*, Zhang, D.* (2022). Quantitative Personality Predictions from a Brief EEG Recording. IEEE Transactions on Affective Computing, 13(3): 1514-1527. 

Ding, Y.#, Hu, X.#, Xia, Z., Liu, Y.-J., Zhang, D.* (2021). Inter-brain EEG Feature Extraction and Analysis for Continuous Implicit Emotion Tagging during Video Watching. IEEE Transactions on Affective Computing, 12(1): 92-102. 

Hu, X.#, Chen, J.#, Wang, F., Zhang, D.* (2019). Ten Challenges for EEG-based Affective Computing. Brain Science Advances, 5(1): 1–20. (Editor's Top Picks 2019-2020)

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.#, 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. 

Please see my ResearchGate page for more information.