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Xin Zhang

Associate Professor

Brainnetome Center & National Laboratory of Pattern Recognition

Institute of Automation, The Chinese Academy of Sciences

Beijing 100190, P. R. China

Phone: +86 10 8254 4526

Email: xzhang@nlpr.ia.ac.cn

 


Brief History

Work

Nov. 2013-Present, Associate Professor, Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, China.

Sep. 2010-Oct. 2013, Assistant professor, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, China.

Education

Sep. 2006-Aug. 2010, Ph.D., Faculty of Engineering, The University of Hong Kong, Hong Kong.

Sep. 2003-Jul. 2006, M.E., Dept of Biomedical Engineering, Tsinghua University, Beijing, China.

Sep. 1997-Jul. 2002, B.E., Dept of Biomedical Engineering, Capital Medical University, Beijing, China.


Research Interests

 My research interest focuses on the analysis of human brain activity. There are two steps to accomplish it: detecting the activity and then investigating the activity.

To detect it, we are not only employing existing techniques, but also developing devices to measure these signals. Two technologies are currently what we are utilizing to detect biological signals from a subject's brain. One is the functional near infrared spectroscopy (fNIRS or diffuse optical imaging). It is to measure concentrations of oxygenated and deoxygenated hemoglobin, because the two chromophores are sensitive to brain's activity. The other technology is the electroencephalography (EEG). It is to detect biophysiological signals, which originate from neuronal activities. The two technologies are not brand new, especially EEG born at 1920s. But there is no such device, which is able to detect both hemodynamic response and biophysiological signals simultaneously and matched spatially. We intended to develop such kind of device, which is necessary to perform studies, such as neurovascular coupling.

To analyze it, we are relying on the inverse problem and graph theory.


Publications

Journal Publication List

Xin Zhang, Xu Lei, Ting Wu, Tianzi Jiang, “A review of EEG and MEG for brainnetome research”, Cognitive Neurodynamics, in press.

Pan Wang*, Xin Zhang*, Yong Liu, Sainan Liu, Bo Zhou, Zengqiang Zhang, Hongxiang Yao, Xi Zhang, Tianzi Jiang, “Perceptual and response interference in Alzheimer’s disease and mild cognitive impairment,” Clinical neurophysiology, in press, available online 17 June 2013. ( * equal contribution)

Fengjun Zhao, Xiaochao Qu, Xin Zhang, Ting-Chung Poon, Jimin Liang, “Solving inverse problems for optical scanning holography using an adaptively iterative shrinkage-thresholding algorithm,” Optics Express, 2012.

Hong Di, Kangfeng Zheng, Xin ZhangCA, Edmund Y. Lam, Taegeun Kim, You Seok Kim, Ting-Chung Poon, and C. Zhou, “Multiple-image encryption by compressive holography,” Applied Optics,vol. 51, no. 7, pp. 1000-1009, 2011.

Xin Zhang, Edmund Y. Lam, and Ting-Chung Poon, “Reconstruction of sectional images in holography using inverse imaging,” Optics Express, vol. 16, no. 22, pp. 17215–17226, Oct. 2008. Also published in The Virtual Journal for Biomedical Optics, vol. 3, no. 12, Dec. 2008.

Xin Zhang, Edmund Y. Lam, Taegeun Kim, You Seok Kim, and Ting-Chung Poon, “Blind sectional image reconstruction for optical scanning holography,” Optics Letters, vol. 34, no. 20, pp. 3098–3100, Oct. 2009.

Xin Zhang and Edmund Y. Lam “Superresolution reconstruction using nonlinear gradient-based regularization,” Multidimensional Systems and Signal Processing, vol. 20, no. 4, pp. 375–384, Dec. 2009.

Xin Zhang and Edmund Y. Lam, “Sectional reconstruction from one-angle data of diffraction tomography in optical scanning holography,” Journal of the Optical Society of America A,27, no. 7, pp. 1630–1637, .

Edmund Y. Lam, Xin Zhang, Huy Vo, Ting-Chung Poon, and Guy Indebetouw, “Three-dimensional microscopy and sectional image reconstruction using optical scanning holography,” Applied Optics, vol. 48, no. 34, pp. H113–H119, Dec. 2009. Also published in The Virtual Journal for Biomedical Optics, vol. 5, no. 1, Jan. 2010.

 
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