2023-Present: Postdoc Fellow, Xuanwu Hospital, Capital Medical University & Chinese Institute for Brain Research, Beijing. Co-supervised with Prof. Guoguang Zhao.

2015-2023: Ph.D., School of Biological Science and Medical Engineering, Beihang University.

2009-2013: B.S., School of Electronic and Information Engineering, Beihang University.

Experiences:

Shen obtained his Ph.D. from the School of Biomedical Engineering at Beihang University. During his Ph.D. studies, Shen's research focused on the use of optical-based non-invasive methods to assess brain activity, and from the perspective of functional connectivity and networks, to early identify and screen for cognitive clinical diseases, including neonatal hypoxic-ischemic brain injury and mild cognitive impairment in the elderly. 

Publications:

1．Zhang Shen, Zhu Ting, Wang Daifa, et al. Early screening model for mild cognitive impairment based on resting-state functional connectivity: a functional near-infrared spectroscopy study[J]. Neurophotonics, 2022, 10.

2．Zhang Shen, Peng Cheng, Wang Daifa, et al. Resting-state brain networks in neonatal hypoxic-ischemic brain damage: a functional near-infrared spectroscopy study[J]. Neurophotonics, 2021, 8: 02. .

3．Zhang Shen, Zheng Yanchun, Wang Daifa, et al. Application of a common spatial pattern-based algorithm for an fNIRS-based motor imagery brain-computer interface[J]. Neuroscience Letters, 2017, 655: 35-40.

4．Zhang Dandan, Zhang Shen, Gu Ruolei, et al. Why people engage in corrupt collaboration: An observation at the multi-brain level[J]. Cerebral Cortex, 2023.

5．Yang Mingxi, Xia Meiyun, Zhang Shen, et al. Motion artifact correction for resting-state neonatal functional near-infrared spectroscopy through adaptive estimation of physiological oscillation denoising [J]. Neurophotonics, 2022, 10.

6．Zheng Yanchun, Zhang Dan, Zhang Shen, et al. Resting-State-Based Spatial Filtering for an fNIRS-Based Motor Imagery Brain-Computer Interface[J]. IEEE Access, 2019, 7.