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天津科技大学理学院导师教师师资介绍简介-张贵清

本站小编 Free考研考试/2020-10-04


个人基本情况:

姓 名:张贵清
性 别:男
出生年月: 1983年2月
民 族:汉族
政治面貌:中共党员
职称:副教授



教育经历:


1.2000年-2004年 江苏师范大学,获学士学位
2.2004年-2009年 南开大学,获博士学位
从事研究的学科专业领域及主要研究方向:
主要研究方向:

1.复杂系统,复杂网络的建模和分析;
2.自组织行为,自组织临界性分析;
3.非线性动力学,非平衡统计物理。

主要工作经历及业绩:

1.2009年-2012年 南京林业大学,讲师
2.2012年-2014年 南京林业大学,副教授
3.2014年-至今 天津科技大学,副教授

主持的主要科研项目


1. 2013.1-2013.12
动态异质性网络上的地震模型研究,国家自然基金理论物理专项,主持,完成,5万。
2. 2010.7-2012.7
权重网络上的自组织临界性及森林火灾行为研究,主持,江苏省高校自然科学基金,主持,完成,3万。
3. 2010.3-2013.9
基于复杂网络的传播动力学及其自组织临界性研究,南京林业大学高学历人才基金,主持,完成,3万。
4. 2014.9-2016.9
复杂网络上的自组织临界行为研究,天津科技大学青年教师创新基金,主持,在研,1万。

完成的主要论文


1. G. Q. Zhang*, Tao-PingHu, ZiYu. An improved fitness evaluation mechanism with noise in prisoners dilemma game. Applied Mathematics and Computation,276,31-36,(2016). (SCI)
2. G. Q. Zhang*, Qiu-Ying Yang, Ai-Zhen Zhang. Avalanche duration time in a simple heterogeneous Olami Feder Christensen model. Applied Mathematics and Computation,242,346-352,(2014). (SCI)
3. G. Q. Zhang*, Qi-Bo Sun, L. Wang. Noise induced enhancement of network reciprocity in social dilemmas. Chaos, Solitons & Fractals.51,31-35,(2013). (SCI)
4. G. Q. Zhang*, U.Tirnakli, L. Wang and T. L. Chen. Self organized criticality in a modified Olami-Feder-Christensen model. Eur. Phys. J. B. 82, 83-89, (2011). (SCI)
5. G. Q. Zhang*, L. Wang and T. L. Chen. Analysis of self-organized criticality in weighted coupled systems. Physica A. 388, 1249-1256, (2009). (SCI)
6. G. Q. Zhang*, Z. Yu, Q. Y. YANG and T. L. Chen. A simple neuron model based on hebb’s rule. International Journal of Modern Physics C. 22, 755-763, (2011). (SCI)
7. G. Q. Zhang*, L. Wang and T. L. Chen. Self-organized criticality in a weighted Earthquake model. International Journal of Modern Physics C. 20, 351-360, (2009). (SCI)
8. G. Q. Zhang* and T. L. Chen. Complex behavior in a selective aging neuron model based on small world networks. Commun. Theor. Phys. 49, 409-413, (2008). (SCI)
9. G. Q. Zhang*, Q. Y. YANG and T. L. Chen. Effects of vertex activity and Self-Organized Criticality behavior on a Weighted Evolving Network. Commun. Theor. Phys. 50, 421-424, (2008). (SCI)
10. G. Q. Zhang*, L. Wang and T. L. Chen. A mixed mechanism of weighted-driven and inner selection in networks. Commun. Theor. Phys. 51, 947-953, (2008). (SCI)
11. G. Q. Zhang*, Y. Y. ZHANG and T. L. Chen. Effects of aging and Self-organized Criticality in a Pulse-coupled Integrate-and-Fire Neuron Model Based on small world networks. Commun. Theor. Phys. 47, 869-874, (2007). (SCI)
12. Wang Yi-Ling,G. Q. Zhang*. Optimal convergence in fame game with familiarity. Chaos, Solitons & Fractals.56,222-226,(2013). (SCI)
13. L.Wang, G. Q. Zhang*, and T. L.Chen. Self-Organized Criticality Analysis of Earthquake Model Based on Heterogeneous Networks. Commun. Theor. Phys. 55, 89-94, (2011). (SCI)
14. L.Wang, G. Q. Zhang, and T. L.Chen. An extensive weighted driving network with non-linear growth information. Europhysics Letters. 84, 58006, (2008). (SCI)
15. M. LIN, G. Q. Zhang, and T. L.Chen.
Effects of Different Connectivity Topologies in Small World Networks on EEG-Like Activities.Commun. Theor. Phys. (Beijing, China) 45 (2006) 373. (SCI)

16. Y. Y. ZHANG, G. Q. Zhang, Q. Y. YANG, and T. L.Chen. Self-organized critical model based on complex brain networks with hierarchial organization. Commun. Theor. Phys. (Beijing, China) 50 (2008) 681. (SCI)
17. Q. Y. YANG, G. Q. Zhang, Y. Y. ZHANG and T. L. Chen. Modeling Topology and Nonlinear Dynamical Behavior of the Weighted Scale-Free Networks. Commun. Theor. Phys. 50, 120-124, (2008). (SCI)
18. Q. Y. YANG, Y. Y. ZHANG, G. Q. Zhang and T. L. Chen. Nonlinear Dynamical Behavior in Neuron Model Based on Small World with Attack and Repair Strategy. Commun. Theor. Phys. 49,965-970, (2007). (SCI)
19. G. Q. Zhang*, L.Wang,etc. Self organized criticality in a simple forest fire model. Acta Scientiarum Naturalium Universitatis Nankaiensis .44, 76-81, (2011). (北大核心)
20. 张贵清*,喻孜,白宇等,模拟退火算法中分形和相变现象.南开大学学报,46,1-5. (2013)(北大核心)

联系方式


通信地址:天津市泰达开发区第十三大街4号理学院407室
邮政编码:300457
电话:
E-mail :nkzhanggq@tust.edu.cn











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