姓名：劉玲 性別：女
學(xué)歷：博士研究生； 職稱/職務(wù)：講師
電子郵箱：Lgliu0@163.com
教育背景：
2010.09-2014.06：湖北師范大學(xué)數(shù)學(xué)與應(yīng)用數(shù)學(xué)專業(yè)，獲理學(xué)學(xué)士學(xué)位；
2014.09-2017.06：湖北師范大學(xué)應(yīng)用數(shù)學(xué)專業(yè)，獲理學(xué)碩士學(xué)位；
2017.09-2021.03：東華大學(xué)控制科學(xué)與工程，獲工學(xué)博士學(xué)位；
工作經(jīng)歷：
2021.07--至今：在美獅貴賓官方網(wǎng)站工作。
教學(xué)工作：
講授的本科課程：《最優(yōu)化方法》《高等數(shù)學(xué)》
科研工作：
研究方向：神經(jīng)動(dòng)力學(xué)系統(tǒng)的穩(wěn)定性
學(xué)術(shù)論文：在SCI期刊發(fā)表學(xué)術(shù)論文10篇，所發(fā)表的期刊包括了：《Neural Networks》《Journal of the Franklin Institute》《International Journal of Robust and Nonlinear Control》等，具體如下：
[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.
