1基本情况

石磊，男，1984年9月生，湖南衡阳人，博士，讲师。2020年7月毕业于南京航空航天大学，获应用数学专业博士学位。主持省级科研项目1项，参与国家自然科学基金项目2项。发表学术论文13篇，其中SCI论文9篇（一区TOP论文3篇）。

联系地址：广西桂林市建干路12号，必威·BETWAY理学院，邮编：541004

电子邮址：330916253@qq.com

研究方向

复杂网络、神经网络、动力系统控制、生物数学

2主要经历

教育经历

   (1) 2016-09至2020-07, 南京航空航天大学, 应用数学, 博士
   (2) 2007-09至2010-06, 云南大学, 计算数学, 硕士,
   (3) 2003-09至2007-07, 云南大学, 信息与计算科学, 学士

工作经历

   (1) 2021-01至今, 必威·BETWAY, 理学院, 讲师
   (2) 2012-09至2016-08, 红河学院, 数学学院, 讲师
   (3) 2010-08至2012-09, 红河学院, 数学学院, 助教

3讲授课程

《操作系统》、《运筹学》

4.科研论文

[1] Lei Shi(石磊), Xinsong Yang, Yingchun Li, Zuzhen Feng, Finite-time synchronization of nonidentical chaotic systems with multiple time-varying delays and bounded perturbations, Nonlinear Dynamics, 2016, 83(1-2): 75-87. (SCI 一区 TOP 期刊, WOS 被引 53 次)

[2] Lei Shi(石磊), Hongyong Zhao, Daiyong Wu, Dynamical analysis for a reaction-diffusion HFMD model with nonsmooth saturation treatment function, Communications in Nonlinear Science and Numerical Simulation, 2021, 95: 1-37. (SCI 一区 TOP 期刊)

[3] Lei Shi(石磊), Hongyong Zhao, Daiyong Wu, Modelling and analysis of HFMD with the effects of vaccination, contaminated environments and quarantine in mainland China, Mathematical Biosciences and Engineering, 2019, 16(1): 474-500. (SCI 期刊)

[4] Lei Shi(石磊), Hongyong Zhao, Daiyong Wu, Modeling periodic HFMD with the effect of vaccination in mainland China, Complexity, 2020, 2020: 1-18. (SCI 期刊)

[5] Hongyong Zhao, Lei Shi(石磊), Jing Wang, Kai Wang, A stage structure HFMDmodel with temperature-dependent latent period, Applied Mathematical Modelling, 2021, 93: 745-761. (SCI 一区 TOP 期刊)

[6] Lei Shi(石磊),, Zhao Hongyong, and Wu Daiyong, A reaction-diffusion HFMD model with nonsmooth treatment function, Advances in Difference Equations 2021, (1): 130. (SCI 期刊)

[7] Yingchun Li, Xinsong Yang, and Lei Shi(石磊). Finite-time synchronization for competitive neural networks with mixed delays and non-identical perturbations, Neurocomputing, 2016, 185: 242-253. (SCI 期刊)

[8] Xue Qin, Lei Shi(石磊), Zou Yi, et al. Synchronization of Discrete-Time Switched 2-D Systems with Markovian Topology via Fault Quantized Output Control. Neural Processing Letters,2021:1-16. (SCI 期刊)