姓名：刘玲 性别：女
学历：博士研究生； 职称/职务：讲师
电子邮箱：Lgliu0@163.com
教育背景：
2010.09-2014.06：湖北师范大学数学与应用数学专业，获理学学士学位；
2014.09-2017.06：湖北师范大学应用数学专业，获理学硕士学位；
2017.09-2021.03：东华大学控制科学与工程，获工学博士学位；
工作经历：
2021.07--至今：在广东技术师范大学大象研究院工作。
教学工作：
讲授的本科课程：《最优化方法》《高等数学》
科研工作：
研究方向：神经动力学系统的稳定性
学术论文：在SCI期刊发表学术论文10篇，所发表的期刊包括了：《Neural Networks》《Journal of the Franklin Institute》《International Journal of Robust and Nonlinear Control》等，具体如下：
[1] Ling Liu, Yihong Zhang, Wuneng Zhou, Yuanhong Ren, Xiaoli Li, Event-triggered approach for finite-time state estimation of delayed complex dynamical networks with random parameters, International Journal of Robust and Nonlinear Control, 30(14), 5693-5711, 2020.
[2] Ling Liu, Xiangwu Ding, Wuneng Zhou, Xiaoli Li, Global mean square exponential stability and stabilization of uncertain switched delay systems with L\’evy noise and flexible switching signals, Journal of the Franklin Institute-Engineering and Applied Mathematics, 356, 11520-11545, 2019.
[3] Ling Liu, Xiangwu Ding, Wuneng Zhou, Prescribed-time cluster synchronization of uncertain complex dynamical networks with switching via pinning control, Neurocomputing, 419, 136-147, 2021.
[4] Ling Liu, Wuneng Zhou, Xiaoli Li, Yuqing Sun, Dynamic event-triggered approach for cluster synchronization of complex dynamical networks with switching via pinning control, Neurocomputing, 340, 32-41, 2019.
[5] Ling Liu, Ailong Wu, Zhigang Zeng, Tingwen Huang, Global mean square stability of stochastic neural networks with retard and advance arguments, Neurocomputing, 247, 156-164, 2017.
[6] Ling Liu, Ailong Wu, Xingguo Song, Global stabilization of fractional-order memristive neural networks with time delays, SpringerPlus, 5 (1034), 1-22, 2016.
[7] Ailong Wu, Ling Liu, Tingwen Huang, Zhigang Zeng, Mittag-Leffler stability of fractional-order neural networks in the presence of generalized piecewise constant arguments, Neural Networks, 85, 118-127, 2017.
[8] Yuncai Yu, Xinsheng Liu, Ling Liu, Mohamed Sief, The adaptivity of thresholding wavelet estimators in heteroscedastic nonparametric model with negatively super-additive dependent errors, Journal of the Korean Statistical Society, DOI: 10.1007/s42952-020-00049-6.
[9] Yuncai Yu, Xinsheng Liu, Ling Liu, Weisi Liu, On adaptivity of wavelet thresholding wavelet estimators with negatively super-additive dependent noise, Mathematica Slovaca, 69 (6): 1485-1500, 2019.
[10] Yuncai Yu, Xinsheng Liu, Ling Liu, Piao Zhao, Detection of multiple change points for linear processes under negatively super-addictive dependence, Journal of Inequalities and Applications, DOI: 10.1186/s13660-019-2169-5.
