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教授

姓名:张治国

职位:特聘教授,博士生导师,
院长助理
医学信息工程系系主任

邮箱:zgzhang@szu.edu.cn

 张治国在香港大学获得博士学位,曾任伦敦大学学院博士后,香港大学研究助理教授,新加坡南洋理工大学助理教授,中山大学教授。他的主要研究兴趣是分析复杂动态的人脑信号和影像(主要是脑电和多模态磁共振影像),利用先进的信号处理和机器学习算法挖掘与生理、心理和病理状态相关的神经标记,并基于此进一步发展脑疾病的诊疗和康复技术。他已发表期刊论文70余篇(发表的期刊包括多个IEEE Transactions,Journal of Neuroscience, NeuroImage,Human Brain Mapping等),会议论文或摘要百余篇,并承担过多项国家自然科学基金委员会、深圳市、香港和新加坡的研究项目。

 

 研究方向:神经信号影像分析,医学神经工程,脑机交互,类脑智能

 

 科研项目

 

(1)国家自然科学基金委员会面上项目,面向疼痛个体差异的脑电机制与解码方法研究(81871443),57万元,在研,主持。
(2)深圳科技创新委员会基础研究学科布局项目,动态认知脑网络分析的脑损伤评价与康复技术研究,200万元,在研,主持。
(3)深圳海外高层次人才孔雀团队项目,基于大数据的精准医疗,3000万元,在研,核心成员。
(4)国家自然科学基金委员会应急管理项目,动态功能脑连接自适应计算与解码方法研究及应用(61640002),16万元,已结题,主持


 代表性成果

 

(1)T. J. Liu#, G. Huang*, N. Jiang, L. Yao, Z. G. Zhang#, “Reduce brain-computer interface inefficiency by combining sensory motor rhythm and movement-related cortical potential features,” Journal of Neural Engineering, vol. 77, no. 3, 035003, Jun. 2020. [# Equal Contribution]
(2)A. M. Anter, G. Huang, L. L. Li, L. Zhang, Z. Liang, and Z. G. Zhang*, “A new type of fuzzy rule-based system with chaotic swarm intelligence for multi-classification of pain perception from fMRI”, IEEE Transactions on Fuzzy Systems, vol. 28, no. 6, pp. 1096-1109, Jun. 2020. [* Corresponding Author]
(3)G. Huang, J. Liu, L. L. Li, L. Zhang, Y. X. Zeng, L. J. Ren, S. Q. Ye, and Z. G. Zhang*, “A novel training-free externally-regulated neurofeedback (ER-NF) system using phase-guided visual stimulation for alpha modulation,” NeuroImage, vol. 189, pp. 688-699, Apr. 2019. [* Corresponding Author]
(4)Y. H. Tu, Z. N. Fu, A. Tan, G. Huang, L. Hu, Y. S. Hung, and Z. G. Zhang*, “A novel and effective fMRI decoding approach based on sliced inverse regression and its application to pain prediction,” Neurocomputing, vol. 273, pp. 373-384, Jan. 2018. [* Corresponding Author]
(5)Y. H. Tu, Z. G. Zhang*, A. Tan, W. W. Peng, Y. S. Hung, M. Moayedi, G. D. Iannetti, and L. Hu*, “Alpha and gamma oscillation amplitudes synergistically predict the perception of forthcoming nociceptive stimuli,” Human Brain Mapping, vol. 37, no. 2, pp. 501-514, Feb. 2016. [* Corresponding Author]
(6)J. F. Wu, A. M. S. Ang, K. M. Tsui, H. C. Wu, Y. S. Hung, Y. Hu, J. N. F. Mak, S. C. Chan*, and Z. G. Zhang*, “Efficient implementation and design of a new single-channel electrooculography-based human-machine interface system,” IEEE Transactions on Circuits and Systems II-Express Briefs, vol. 62., no. 2, pp. 179-183, Feb. 2015. [* Corresponding Author]
(7)Z. N. Fu, S. C. Chan, X. Di, B. B. Biswal, and Z. G. Zhang*, “Adaptive covariance estimation of non-stationary processes and its application to infer dynamic connectivity from fMRI,” IEEE Transactions on Biomedical Circuits and Systems, vol. 8, no. 2, pp. 228-239, Apr. 2014. [* Corresponding Author]
(8)G. Huang, P. Xiao, Y. S. Hung, G. D. Iannetti, Z. G. Zhang*, and L. Hu*, “A novel approach to predict subjective pain perception from single-trial laser-evoked potentials,” NeuroImage, vol. 81, no. 1, pp. 283-293, Nov. 2013. [* Corresponding Author]
(9)Z. G. Zhang#, L. Hu#, Y. S. Hung, A. Mouraux, and G. D. Iannetti, “Gamma-band oscillations in the primary somatosensory cortex - a direct and obligatory correlate of subjective pain intensity,” Journal of Neuroscience, vol. 32, no. 22, pp. 7429-7438, May 2012. [# Equal Contribution]
(10)Z. G. Zhang, Y. S. Hung, and S. C. Chan, “Local polynomial modelling of time-varying autoregressive models with application to time-frequency analysis of event-related EEG,” IEEE Transactions on Biomedical Engineering, vol. 58, no. 3, pp. 557-566, Mar. 2011. 
 

 专著

 

(1)Li Hu and Zhiguo Zhang (Eds.), EEG Signal Processing and Feature Extraction, ISBN 978-981-13-9113-2, Springer, 2019.

 

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