一、基本情况
郭振远，男，1982年7月，教授，博士生导师，岳麓****，香江****
电话: **E-mail: zyguo@hnu.edu.cn
办公地点： 数学院208室

二、学习和工作经历
?02/2019-至今 教授湖南大学
?10/2013–01/2019 副教授 湖南大学
?01/2018-03/2018 访问**** 香港理工大学
?06/2017-09/2017 访问**** 德州农工大学卡塔尔分校
?03/2013–02/2015 香江**** 香港中文大学
?03/2010–09/2013助理教授 湖南大学
?10/2008–09/2009联合培养博士加拿大西安大略大学
?09/2004–12/2009 博士湖南大学
?09/2000–06/2004 本科 湖南大学

三、主要科学研究
主要从事不连续动力学理论及其应用，神经网络，生物数学，忆阻系统，非线性系统控制等的研究工作。
欢迎对以上研究方向感兴趣、数学基础好、英语读写能力较强的学生报考我的硕士生、博士生。
主持国家级项目2项，省部级项目4项。主要主持项目如下：
1、国家自然科学基金面上项目 (**): 基于忆阻的群集神经动力学分析及其在优化中的应用, 2016.01-2019.12.
2、国家自然科学基金青年科学基金(**): 右端不连续泛函微分方程理论及其应用, 2012.01-2014.12.
3、中国博士后基金面上项目(2013M542104): 不连续神经网络理论及其应用, 2013.01-2014.12.
4、中国博士后基金特别资助项目(2012T50714): 忆阻神经动力学及其应用, 2012.01-2013.12.
5、湖南省科技计划项目（2014RS4030）：忆阻神经网络的动力学与应用，2014.01-2015.12.
6、湖南省自然科学基金：忆阻神经网络模型的同步和控制研究，2019.01-2021.12.

四、主要荣誉和奖励
1、2019年，湖南省自然科学一等奖;
2、2018年，湖南大学讲课比赛二等奖;
3、2013年，香江****奖;
4、2012，2017，2018年，湖南大学优秀本科毕业论文指导教师;
5、2010年，湖南大学优秀毕业生;
6、2004年，湖南大学优秀毕业生.

五、社会服务
1、美国数学会数学评论评论员；
2、第六届以及第八届国际信息与科学技术会议 (ICIST 2016，2018)的出版主席（Publications Chair）；
3、第12届，13届以及14届国际神经网络会议(ISNN2014, 2015,2016)的出版主席；
4、第五届国际信息与科学技术会议 (ICIST 2015)的组委会成员（Local Arrangement Chair）。
5、2013年、2016年国际计算智能大会(WCCI2013, 2016)，以及第11届、15届国际神经网络会议(ISNN2013, 2017)的程序委员会成员。

六、主要论著
共发表论文著作40多篇，SCI收录39篇，其中SCI1区收录17篇，2区收录11篇，引用800多次，单篇最高引用130多次，ESI高被引论文4篇。近年来发表的主要论文和著作如下：
1. 黄立宏，郭振远，王佳伏. 右端不连续微分方程理论与应用. 北京：科学出版社，2011.
2. Zhenyuan Guo, Linlin Liu, Jun Wang, Multistability of switched neural networks with piecewise linear activation functions under state-dependent switching, IEEE Transactions on Neural Networks and Learning Systems, 2018, DOI：10.1109/TNNLS.2018.**
3. Zhenyuan Guo, Shuqing Gong, Shiping Wen, Tingwen Huang, Event-based synchronization control for memristive neural networks with time-varying delay, IEEE Transactions on Cybernetics, 2018, DOI: 10.1109/TCYB.2018.**
4. Zhenyuan Guo, Linlin Liu, Jun Wang, Multistability of recurrent neural networks with
piecewise-linear radial basis functions and state-dependent switching parameters, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2018, DOI：10.1109/TSMC.2018.**
5. Zhenyuan Guo, Jun Wang, Zheng Yan, Global Exponential Synchronization of Two Memristor-based Recurrent Neural Networks with Time Delays via Static or Dynamic Coupling, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2015，45(2):235-249
6. Zhenyuan Guo, Shaofu Yang, Jun Wang, Global exponential synchronization of multiple memristive neural networks with time delay via nonlinear coupling, IEEE Transactions on Neural Networks and Learning Systems, 2015, 26(6): 1300-1311
7. Zhenyuan Guo, Jun Wang, Zheng Yan, Passivity and passification of memristor-based recurrent neural networks with time-varying delays, IEEE Transactions on Neural Networks and Learning Systems, 2014, 25(11):2099-2199
8. Zhenyuan Guo, Jun Wang, Zheng Yan, Attractivity analysis of memristor -based cellular neural networks with time-varying delays, IEEE Transactions on Neural Networks and Learning Systems, 2014, 25(4): 704-717
9. Shaofu Yang, Zhenyuan Guo, Jun Wang，Global Synchronization of Multiple Recurrent Neural Networks With Time Delays via Impulsive Interactions, IEEE Transactions on Neural Networks and Learning Systems, 2016,28(7), 1657-1667
10. Shaofu Yang, Zhenyuan Guo, Jun Wang, Robust synchronization of multiple memristive neural networks with uncertain parameters via nonlinear coupling, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2015, 45(7): 077-1086
11. Zhenyuan Guo, Shuqing Gong, Shaofu Yang, Tingwen Huang, Global exponential synchronization of multiple coupled inertial memristive neural networks with time-varying delay via nonlinear coupling, Neural Networks, 2018, 108: 260-271
12. Shuqing Gong, Shaofu Yang, Zhenyuan Guo, Tingwen Huang, Global exponential synchronization of inertial memristive neural networks with time-varying delay via nonlinear controller, Neural Networks, 2018, 102: 138-148
13. Zhenyuan Guo, Shaofu Yang, Jun Wang, Global synchronization of memristive neural networks subject to random disturbances via distributed pinning control, Neural Networks, 2016, 84: 67-79
14. Zhenyuan Guo, Jun Wang, Zheng Yan, A systematic method for analyzing robust stability of interval neural networks with time-delays based on stability criteria, Neural Networks, 2014, 54: 112-122
15. Zhenyuan Guo, Jun Wang, Zheng Yan, Global exponential dissipativity and stabilization of memristor-based recurrent neural networks with time-varying delays, Neural Networks, 2013, 48: 158–172
17. Zhenyuan Guo, Xingfu Zou, Impact of discontinuous harvesting on fishery dynamics in a stock-effort fishing model, Communications in Nonlinear Science and Numerical Simulation, 2015, 20(2):594-603

18. Zhenyuan Guo, Shuqing Gong, Tingwen Huang, Finite-time synchronization of inertial memristive neural networks with time delay via delay-dependent control, Neurocomputing, 2018, 108: 260-271
19. Zhenyuan Guo, Lihong Huang, Generalized Lyapunov method for discontinuous systems, Nonlinear Analysis: Theory, Methods and Applications, 2009, 71(7-8):3083-3092
20. Zhenyuan Guo, Lihong Huang, Global exponential convergence and global convergence in finite time of non-autonomous discontinuous neural networks, Nonlinear Dynamics, 2009, 58: 349–359
21. Zhenyuan Guo, Lihong Huang, LMI conditions for global robust stability of delayed neural networks with discontinuous neuron activations, Applied Mathematics and Computation, 2009, 215(3):889-900
22. Zhenyuan Guo, Shaofu Yang, Jun Wang, Global synchronization of stochastically disturbed memristive neurodynamics via discontinuous control laws, IEEE/CAA Journal of Automatica Sinica, 2016, 3(2): 121-131
23. Zhenyuan Guo, Lihong Huang, Stability analysis for delayed neural networks with discontinuous neuron activations, Asian Journal of Control, 2013, 15(4):1-10
24. Zhenyuan Guo, Lihong Huang, Xingfu Zou, Impact of discontinuous treatments on disease dynamics in an SIR epidemic model, Mathematical Biosciences and Engineering, 2012, 9(1):97-110
25. Zhenyuan Guo, Lihong Huang, Global exponential stability of a general class of recurrent neural networks with variable delays, Differential Equations and Dynamical Systems, 2011, 19(1-2):133-148
26. Zhenyuan Guo, Lihong Huang, Global output convergence of a class of recurrent delayed neural networks with discontinuous neuron activations, Neural Processing Letters, 2009, 30(3):213-227
27. Shuqing Gong, Shaofu Yang, Zhenyuan Guo, Tingwen Huang, Global exponential Synchronization of Memristive Competitive Neural Networks with Time-Varying Delay via Nonlinear Control, Neural Processing Letters, 2018, DOI: 10.1007/s11063-017-9777-1 (通讯作者)
28. Zengyun Wang, Zhenyuan Guo, Lihong Huang, Xinzhi Liu, Dynamical Behavior of Complex-Valued Hopfield Neural Networks with Discontinuous Activation Functions, Neural Processing Letters, 2017, 45(3), 1039-1061 (通讯作者)



七、讲授课程
本科生课程：高等数学 常微分方程 复变函数
研究生课程： 差分方程 泛函微分方程 常微分方程的定性与稳定性理论 无穷维动力系统