 2001.03-2004.06: Ph.D., Automation, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
 1998.08-2001.03: M.Sc., Automatic Control, Department of Automatic Control, Beijing Institute of Technology, Beijing, China.
 1992.08-1996.07: B.Sc., Electronic Engineering, Department of Electronic Engineering, Xidian University, Xi’an, China.

 2005.09–Present: Professor (Principal Investigator), State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
 2004.08–2005.08: Assistant Researcher, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China.

Research focuses on brain imaging, particularly functional near-infrared spectroscopy (fNIRS) and magnetic resonance imaging (MRI), and the development of non-invasive brain stimulation targeting methods, including transcranial magnetic stimulation (TMS) and transcranial electrical stimulation (tES), with applications in brain disorders. Published over 100 SCI-indexed papers in journals such as Science Advances and Brain, with more than 19,000 SCI citations (Google Scholar H-index = 52). Authored a monograph titled Functional Near-Infrared Spectroscopy. Named an Elsevier Highly Cited Chinese Researcher for six consecutive years (2020–2025). Holds 9 authorized invention patents in China and the United States, 2 of which have been successfully transferred.

1. Wei, L., Zhao, Y., Liu, F., Chen, Y., Xu, Y., Li, Z., & Zhu, C.* (2025). Transcranial brain atlas based on photon measurement density function in a triple-parameter standard channel space. NeuroImage, 307, 121026.

2. Jiang, Y., Chen, Y., Wei, L., Liu, F., Zheng, Z., Zhang, Z., Li, Z., Tang, Y., Wang, J., Xie, Q., Niu, C. M.*, & Zhu, C.* (2025). Evaluation of scalp-based targeting methods of DLPFC for TMS therapy. Transcranial Magnetic Stimulation, 4, 100095.

3. Cao, Z., Xiao, X., Xie, C., Wei, L., Yang, Y., & Zhu, C.* (2024). Personalized connectivity-based network targeting model of transcranial magnetic stimulation for treatment of psychiatric disorders: computational feasibility and reproducibility. Frontiers in psychiatry, 15, 1341908.

4. Liu, F., Zhang, Z., Chen, Y., Wei, L., Xu, Y., Li, Z., & Zhu, C.* (2023). MNI2CPC: A probabilistic cortex-to-scalp mapping for non-invasive brain stimulation targeting. Brain Stimulation, 16(6), 1733-1742.

5. Chen, Y., Jiang, Y., Zhang, Z., Li, Z., & Zhu, C.* (2023). Transcranial magnetic stimulation mapping of the motor cortex: comparison of five estimation algorithms. Frontiers in Neuroscience, 17, 1301075.

6. Wei, L., Chen, Y., Kong, G., Jiang, Y., Wang, J., Tang, Y., & Zhu, C.* (2023). The DLPFC-SGC functional connection predicts the plasticity response of SGC to rTMS. Brain Stimulation, 16(5), 1448-1449.

7. Cao, Z., Xiao, X., Zhao, Y., Jiang, Y., Xie, C., Paillère-Martinot, M.-L., Artiges, E., Li, Z., Daskalakis, Z. J., Yang, Y., & Zhu, C.*. (2022). Targeting the pathological network: Feasibility of network-based optimization of transcranial magnetic stimulation coil placement for treatment of psychiatric disorders. Frontiers in Neuroscience, 16, 1079078.

8. Jiang, Y., Du, B., Chen, Y., Wei, L., Zhang, Z., Cao, Z., Xie, C., Li, Q., Cai, Z., Li, Z., & Zhu, C.* (2022). A scalp-measurement based parameter space: Towards locating TMS coils in a clinically-friendly way. Brain Stimulation, 15(4), 924-926.

9. Kong, G., Wei, L., Wang, J., Zhu, C.*, & Tang, Y. (2022). The therapeutic potential of personalized connectivity-guided transcranial magnetic stimulation target over group-average target for depression. Brain Stimulation, 15(5), 1063-1064.

10. Zhang, Z., Li, Z., Xiao, X., Zhao, Y., Zuo, X., & Zhu, C.* (2021). Transcranial brain atlas for school-aged children and adolescents. Brain Stimulation, 14(4), 895-905.

11. Hou, X., Zhang, Z., Zhao, C., Duan, L., Gong, Y., Li, Z., & Zhu, C.* (2021). NIRS-KIT: a MATLAB toolbox for both resting-state and task fNIRS data analysis. Neurophotonics, 8(1), 010802.

12. Zhao, Y., Sun, P. P., Tan, F. L., Hou, X., & Zhu, C.* (2021). NIRS-ICA: a MATLAB toolbox for independent component analysis applied in fNIRS studies. Frontiers in Neuroinformatics, 15, 683735.

13. Hou, X., Xiao, X., Gong, Y., Jiang, Y., Sun, P., Li, J., Li, Z., Zhao, X., Yao, L., Chen, A., & Zhu, C.* (2021). Functional near-infrared spectroscopy neurofeedback of cortical target enhances hippocampal activation and memory performance. Neuroscience Bulletin, 37(8), 1251-1255.

14. Hou, X., Xiao, X., Gong, Y., Li, Z., Chen, A., & Zhu, C.* (2021). Functional near-infrared spectroscopy neurofeedback enhances human spatial memory. Frontiers in Human Neuroscience, 15, 681193.

15. Zhao, Y., Xiao, X., Jiang, Y., Sun, P., Zhang, Z., Gong, Y., Li, Z., & Zhu, C.* (2021). Transcranial brain Atlas‐based optimization for functional near‐infrared spectroscopy optode arrangement: theory, algorithm, and application. Human Brain Mapping, 42(6), 1657-1669.

16. Liu, T., Duan, L., Dai, R., Pelowski, M., & Zhu, C.* (2021). Team-work, team-brain: exploring synchrony and team interdependence in a nine-person drumming task via multiparticipant hyperscanning and inter-brain network topology with fNIRS. NeuroImage, 237, 118147.

17. Jiang, Y., Li, Z., Zhao, Y., Xiao, X., Zhang, W., Sun, P., Yang, Y., & Zhu, C.* (2020). Targeting brain functions from the scalp: Transcranial brain atlas based on large-scale fMRI data synthesis. NeuroImage, 210, 116550.

18. Zhang, Y., & Zhu, C.* (2020). Assessing brain networks by resting-state dynamic functional connectivity: an fNIRS-EEG study. Frontiers in Neuroscience, 13, 497285.

19. Xiao, X., Yu, X., Zhang, Z., Zhao, Y., Jiang, Y., Li, Z., Yang, Y., & Zhu, C.* (2018). Transcranial brain atlas. Science Advances, 4(9), eaar6904.

20. Sun, P. P., Tan, F. L., Zhang, Z., Jiang, Y. H., Zhao, Y., & Zhu, C.* (2018). Feasibility of functional near-infrared spectroscopy (fNIRS) to investigate the mirror neuron system: an experimental study in a real-life situation. Frontiers in Human Neuroscience, 12, 86.