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包海波




基本信息


姓名:包海波

籍贯:吉林

民族:汉族

职称:研究员

所在部门(教研室):微分方程教研室

办公室(电话):星际电子在线807

电子邮件:hbbao@swu.edu.cn




教育背景


1998.09-2002.07  东北师范大学数学系   数学与应用数学 理学学士

2002.09-2005.07  东北师范大学星际电子在线 应用数学 理学硕士

2007.09-2011.06  东南大学数学系   应用数学  理学博士




工作经历


2005.07-2012.04 河海大学理学院 讲师

2012.05-2013.06 星际电子在线|中国有限公司官网 特聘副教授

2012.07-2016.06 星际电子在线数学博士后流动站 博士后

2013.06-2016.06 星际电子在线|中国有限公司官网 副研究员

2014.10-2015.09 韩国岭南大学 博士后

2016.06-至今 星际电子在线|中国有限公司官网 研究员

2017.01-至今 星际电子在线|中国有限公司官网 博士生导师

2016.12-2017.12 德国柏林洪堡大学 访问学者

2016.07-2016.08 韩国岭南大学 访问教授

2019.07-2019.09韩国岭南大学 访问教授




研究领域


神经网络、复杂网络动力学、同步控制、状态估计和分数阶系统控制




主讲课程


概率论与数理统计、高等数学、非线性动力系统、生物数学原理与方法、统计调查、抽样技术、专题讨论、中外主文献研读




学术兼职


杂志Chaos编辑

国家重点研发计划“数学和应用研究”重点专项评审组专家

亚太人工智能学会高级会员(Senior Member)

美国数学会评论员

中国工业与应用数学学会复杂系统与复杂网络专业委员会委员

中国自动化学会分数阶系统与控制专业委员会委员

中国自动化学会自适应动态规划与强化学习专业委员会委员

中国电子学会电路与系统分会混沌与非线性专业委员会委员

中国自动化学会TCCT物流系统智能优化与控制学组委员

重庆市数学学会理事

国家自然科学基金通讯评审人

中国博士后基金面上项目通讯评审人

教育部学位与研究生教育发展中心学位论文通讯评审人

中国电子学会科学技术奖网评专家

曾担任杂志Chaos编辑顾问委员会委员(2020.1-2020.12),Journal of Applied Mathematics and Computing杂志编委(2017.4-2022.12).

Automatica, IEEE Trans. Automatic Control, IEEE Trans. Neural Networks and Learning Systems, IEEE Trans. Cybernetics, Journal of The Franklin Institute, Neural Networks和Nonlinear Dynamics 等30余个国际SCI杂志的审稿人。




代表性项目


国家自然科学基金面上项目:分数阶多层复杂动态网络的同步与状态估计(2020.01-2023.12),在研

国家自然科学基金面上项目:基于忆阻器的分数阶耦合神经网络的建模,动力学分析与同步控制(2015.01-2019.12),已结题

国家自然科学基金青年项目:分数阶随机神经网络的同步与状态估计研究(2012.01-2015.12),已结题




代表性论文


More than 60 published papers:

1. Haibo Bao, Ju H. Park, Jinde Cao, Adaptive synchronization of fractional-order output-coupling neural networks via quantized output control, IEEE Transactions on Neural Networks and Learning Systems, 2021,32(7),3230-3239, ESI.

2. Lirong Liu , Mingli Lei, Haibo Bao*, Event-triggered quantized quasi-synchronization of uncertain quaternion-valued chaotic neural networks with time-varying delay for image encryption, IEEE Transactions on Cybernetics, 2022, in press.http:doi.org/ 10.1109/TCYB.2022.3176013, in press.

3. Xifen Wu, Haibo Bao*, The impact of positive and negative information on SIR-like epidemics in delayed multiplex networks, Chaos, 2022, 32, 113141.

4. Lirong Liu, Haibo Bao*, Event-triggered impulsive synchronization of coupled delayed memristive neural networks under dynamic and static conditions, Neurocomputing, 2022, 504(14), 109-122.

5. Yue Cao, Yonggui Kao, Ju H. Park, Haibo Bao, Global Mittag-Leffler stability of the delayed fractional-coupled reaction-diffusion system on networks without strong connectedness, IEEE Transactions on Neural Networks and Learning Systems, 2022, 33(11), 6473- 6483.

6. Hui Li, Yonggui Kao, Haibo Bao, Yangquan Chen, Uniform stability of complex-valued neural networks of fractional order with linear impulses and fixed time delays, IEEE Transactions on Neural Networks and Learning Systems, 2022, 33(10), 5231-5331.

7. Haibo Bao, Ju H. Park, Jinde Cao, Adaptive Synchronization of Fractional-Order Delayed Memristive Neural Networks, Recent Advances in Control Problems of Dynamical Systems and Networks, Studies in Systems, Decision and Control 301, 2020, 291-312.

8. Haibo Bao, Ju H. Park, Jinde Cao, Non-fragile state estimation for fractional-order delayed memristive BAM neural networks. Neural Networks, 2019, 119, 190-199.

9. Haibo Bao, Jinde Cao, Jürgen Kürths, Ahmed Alsaedi, Bashir Ahmad, H∞ state estimation of stochastic memristor-based neural networks with time-varying delays. Neural Networks, 2018, 99, 79-91.

10. Haibo Bao, Jinde Cao, Jürgen Kürths, State estimation of fractional-order delayed memristive neural networks, Nonlinear Dynamics, 2018, 94: 1215–1225, ESI.

11. Wenjun Mo, Haibo Bao*, Finite-time synchronization for fractional-order quaternion-valued coupled neural networks with saturated impulse; Chaos, Solitons & Fractals; 2022, 164, 112714.

12. Xifen Wu, Haibo Bao*, H∞ state estimation for multiplex networks with randomly occurring sensor saturations, Applied Mathematics and Computation, 2023, 437, 127538.

13. Liang Meng, Haibo Bao*,  Synchronization of delayed complex dynamical networks with actuator failure by event-triggered pinning control. Physica A, 2022, 606, 128138.

14. Shenglong Chen, Hong-li Li, Haibo Bao, Long Zhang, Haijun Jiang, Zhimin Li, Global Mittag-Leffler stability and synchronization of discrete-time fractional-order delayed quaternion-valued neural networks, Neurocomputing, 2022, 511(28), 290-298.

15. Yuan Chen, Jianwei Wu, Haibo Bao*, Finite-time stabilization for delayed quaternion-valued coupled neural networks with saturated impulse, Applied Mathematics and Computation, 2022, 425, 127083.

16. Hailian Tan, Jianwei Wu, Haibo Bao*, Event-triggered impulsive synchronization of fractional-order coupled neural networks, Applied Mathematics and Computation, 2022, 429, 127244.

17. Sha Zhu, Haibo Bao*, Jinde Cao, Bipartite synchronization of coupled delayed neural networks with cooperative-competitive interaction via event-triggered control, Physica A,2022, 600,127586.

18. Sha Zhu, Haibo Bao*, Event-triggered synchronization of coupled memristive neural networks, Applied Mathematics and Computation, 2022, 415, 126715.

19. Xifen Wu, Haibo Bao*, Jinde Cao, Finite-time inter-layer projective synchronization of Caputo fractional-order two-layer networks by sliding mode control, Journal of the Franklin Institute, 2021, 358, 1002–1020.

20. Xingnan Qi, Haibo Bao*, Jinde Cao, Synchronization criteria for quaternion-valued coupled neural networks with impulses, Neural Networks, 2020, 128, 150-157.

21. Chunni Pan, Haibo Bao*, Exponential synchronization of complex-valued memristor-based delayed neural networks via quantized intermittent control, Neurocomputing, 2020, 404, 317-328.

22. Xifen Wu, Haibo Bao*, Finite time complete synchronization for fractional-order multiplex networks, Applied Mathematics and Computation, 2020,377,125188.

23. Yao Huang, Haibo Bao*, Master-slave synchronization of complex-valued delayed chaotic Lur’e systems with sampled-data control, Applied Mathematics and Computation, 2020, 379, 125261.

24. Jie Zhou, Haibo Bao*, Fixed-time synchronization for competitive neural networks with Gaussian-wavelet-type activation functions and discrete delays, Journal of Applied Mathematics and Computing, 2020, 64, 103-118.

25. Hui Deng, Haibo Bao*, Fixed-time synchronization of quaternion-valued neural networks. Physica A, 2019. 527, 121351.

26. Guoxiong Xu, Haibo Bao*, Further results on mean-square exponential input-to-state stability of time-varying delayed BAM neural networks with Markovian switching. Neurocomputing, 2020,376, 191-201.

27. Guoxiong Xu, Haibo Bao*, Mean-Square Exponential Input-to-State stability of stochastic gene regulatory networks with multiple time delays. Neural Processing Letters, 2020, 51,271-286.

28. Jianmei Zhang, Jianwei Wu, Haibo Bao, Jinde Cao, Synchronization analysis of fractional-order three-neuron BAM neural networks with multiple time delays, Applied Mathematics and Computation, 2018, 339: 441-450, ESI.

29. Haibo Bao, Ju H. Park, Jinde Cao, Exponential synchronization of coupled stochastic memristor-based neural networks with time-varying probabilistic delay coupling and impulsive delay, IEEE Transactions on Neural Networks and Learning Systems, 2016, 27(1): 190-201, ESI.

30. Haibo Bao, Ju H. Park, Jinde Cao, Synchronization of fractional-order complex-valued neural networks with time delay, Neural Networks, 2016, 81, 16-28, ESI, Hot Paper.

31. Haibo Bao, Ju H. Park, Jinde Cao, Adaptive synchronization of fractional-order memristor-based neural networks with time delay, Nonlinear Dynamics, 2015, 82: 1343–1354, ESI.

32. Haibo Bao, Jinde Cao, Projective synchronization of fractional-order memristor-based neural networks, Neural Networks, 2015, 63:1-9, ESI.

33. Haibo Bao, Ju H. Park, Jinde Cao, Matrix measure strategies for exponential synchronization and anti-synchronization of memristor-based neural networks with time-varying delays, Applied Mathematics and Computation,2015, 270: 543-556, ESI.

34. Haibo Bao, Jinde Cao, Finite-time Generalized Synchronization of nonidentical delayed chaotic systems, Nonlinear Analysis: Modelling and Control, 2016, 21(3): 306-324.




代表性获奖


2021年获川渝科技学术大会优秀论文三等奖

2019年获重庆市科协自然科学优秀学术论文奖

2018年获吴文俊人工智能自然科学奖三等奖

2019年中国电子学会电路与系统分会混沌与非线性电路学术年会优秀论文奖

2020年入选重庆市高校中青年骨干教师

2022年获重庆市北碚区科技创新巾帼建功标兵称号

2022年获星际电子在线优秀教师称号

2020年获Journal of The Franklin Institute杂志杰出审稿人称号

2019年获Journal of The Franklin Institute杂志杰出审稿人称号

2017年获Journal of The Franklin Institute杂志杰出审稿人称号