梁金玲

梁金玲，女，汉族，1974年9月出生，河南淅川人。1999年毕业于西北大学，获得理学硕士学位，2006年获东南大学理学博士学位，2007年--2008年在英国Brunel University做博士后研究工作。

1999年8月开始任教于东南大学，现任东南大学数学系教授、博士生导师，东南大学自动化学院教授、博士生导师。

梁金玲2012年入选第九届“中国青年女科学家奖”   ，2013年获江苏省自然科学基金杰出青年基金资助，2014 年荣获首届汤森路透中国引文桂冠奖“高被引科学家奖”，并入选工程学领域的中国高被引学者（Most Cited Chinese Researchers）榜单，2014年及2015年分别入选Elsevier发布的当年度中国高被引学者（Most Cited Chinese Researchers（计算机科学领域）榜单。

2007年获教育部自然科学二等奖^[1]，2012年入选“新世纪优秀人才支持计划”名单。

(1) 2014.07-2014.08 美国德州农工卡塔尔分校，科学部，Postdoctoral Research Associate

(2) 2013.07-2013.09 澳大利亚西悉尼大学，计算、工程与数学学院，Visiting Fellow

(3) 2013.01-2013.02 香港大学，机械工程系，Research Associate

(4) 2011.01-2011.12英国布鲁内尔大学，智能数据分析中心(CIDA)，Visiting Scholar

(5) 2010.01-2010.03 英国布鲁内尔大学，信息系统与计算系，Visiting Fellow

(6) 2009.03-2009.08 香港大学，机械工程系，Research Associate

(7) 2004.03-2004.04 香港城市大学，数学系，Research Associate

(8) 2004.01-2004.03 香港大学，机械工程系，Research Associate

基因时间序列数据建模；基因调控网络的动力学分析；复杂网络控制与优化；神经网络理论及应用；时滞系统；鲁棒控制。

(1) Associate Editor for IEEE Transactions on Neural Networks and Learning Systems (2013);

(2) Editorial Board Member for IET Control Theory & Applications (2012);

(3) Editorial Board Member for International Journal of Computer Mathematics (2012);

(4) Associate Editor for Neurocomputing (2008--2013);

(5) Guest Editor for Special Issue of Mathematics and Computers in Simulation (2010);

(6) Guest Editor for Special Issue of Mathematical Problems in Engineering (Mathematical Problems for Complex Networks);

(7) Associate Editor for Systems Science and Control Engineering (2012) ;

(8) Associate Editor for Communication in Information Science and Management Engineering (2011);

(9) Editorial Board Member for ISRN Artificial Intelligence (2011--2013).

1基于流行病时间序列的动态复杂网络建模、估计和鲁棒随机控制国家自然科学基金委2011年2基因调控网络的建模与动力学分析教育部留学基金委2011年3江苏省高校“青蓝工程”优秀青年骨干教师培养对象江苏省教育厅2010年4基因调控网络的鲁棒随机动力学分析与综合国家自然科学基金项目2008年5泛函微分系统的动力学分析及其在神经网络和基因网络中的应用教育部博士点新教师基金2008年6东南大学优秀青年教师教学科研资助计划东南大学2008年

参考

本科生概率论与数理统计（随机数学）48学时2.5学分本科生高等数学（A、B）144学时5学分本科生高等数学习题课(A、B、C)96学时0学分本科生高等数学（C）128学时4.5学分本科生文科高等数学64学时4学分本科生几何与代数48学时3学分本科生线性代数32学时2学分硕士研究生信息科学中的数学方法36学时2学分博士研究生混杂系统理论36学时2学分

参考

1. J. Liang, Z. Wang and X. Liu, H-infinity control for 2-D time-delay systems with randomly occurring nonlinearities under sensor saturation and missing measurements, Journal of the Franklin Institute, 352(3) (2015) 1007-1030.

2. J. Hu, J. Liang and J. Cao, Stabilization for genetic regulatory networks with mixed time-delays: an adaptive control approach, IMA Journal of Mathematical Control and Information, in press. DOI: 10.1093/imamci/dnt048.

3. J. Hu, J. Liang and D. Chen, Reliable guaranteed-cost control for networked systems with randomly occurring actuator failures and fading performance output, International Journal of General Systems, 44(2) (2015) 129-141.

4. Q. Li, B. Shen, J. Liang and H. Shu, Event-triggered synchronization control for complex networks with uncertain inner coupling, International Journal of General Systems, 44(2) (2105) 212-225.

5. J. Liang, T. Huang, T. Hayat and F. Alsaadi, H_infinity filtering for two-dimensional systems with mixed time delays, randomly occurring saturations and nonlinearities, International Journal of General Systems, 44(2) (2015) 226-239.

6. X. Huang, T. Sun, Y. Li and J. Liang, A color image encryption algorithm based on a fractional-order hyperchaotic system, Entropy, 17(1) (2015) 28-38.

7. J. Liang, F. Sun and X. Liu, Finite-horizon H_infinity filtering for time-varying delay systems with randomly varying nonlinearities and sensor saturations, Systems Science & Control Engineering: An Open Access Journal, 2 (2014) 108-118. DOI: 10.1080/21642583.2014.883339.

8. Z. Wang, B. Zineddin, J. Liang, N. Zeng, Y. Li, M. Du, J. Cao and X. Liu, cDNA microarray adaptive segmentation, Neurocomputing, 142 (2014) 408-418.

9. J. Liang and W.X. Zheng, Distributed state estimation for uncertain sensor networks with mixed time delays subject to sensor saturations, International Journal of General Systems, 43(3-4) (2014) 332-345.

10. J. Hu, J. Liang and J. Cao, Synchronization of hybrid-coupled heterogeneous networks: pinning control and impulsive control schemes, Journal of the Franklin Institute-Engineering and Applied Mathematics, 351(5) (2014) 2600-2622.

11. J. Liang, Z. Wang, Y. Liu and X. Liu, State estimation for two-dimensional complex networks with randomly occurring nonlinearities and randomly varying sensor delays, International Journal of Robust and Nonlinear Control, 24(1) (2014) 18-38.

12. J. Liang, Z. Wang and X. Liu, Robust state estimation for two-dimensional stochastic time-delay systems with missing measurements and sensor saturation, Multidimensional Systems and Signal Processing, 25(1) (2014) 157-177.

13. Y. Hu, J. Lam and J. Liang, Consensus of multi-agent systems with Luenberger observers, Journal of the Franklin Institute-Engineering and Applied Mathematics, 350(9) (2013) 2769-2790.

14. Y. Hu, J. Lam and J. Liang, Consensus control of multi-agent systems with missing data in actuators and Markovian communication failure, International Journal of Systems Science, 44(10) (2013) 1867-1878.

15. J. Liang, Z. Wang and X. Liu, Robust stabilization for a class of stochastic 2-D nonlinear systems with time-varying delays, IET Control Theory & Applications, 7(13) (2013) 1699-1710.

16. J. Hu, J. Liang, J. Cao, Stability analysis for genetic regulatory networks with delays: the continuous-time case and the discrete-time case, Applied Mathematics and Computation, 220 (2013) 507-517.

17. Z. Wang, B. Zineddin, J. Liang, N. Zeng, Y. Li, M. Du, J. Cao, X. Liu, A novel neural network approach to cDNA microarray image segmentation, Computer Methods and Programs in Biomedicine, 111(1) (2013) 189-198.

18. Z. Wang, H. Wu, J. Liang, J. Cao and X. Liu, On modelling and state estimation for genetic regulatory networks with polytopic uncertainties, IEEE Transactions on Nanobioscience, 12(1) (2013) 13-20.

19. Y. Liu, Z. Wang, J. Liang, X. Liu, Synchronization of coupled neutral-type neural networks with jumping-mode-dependent discrete and unbounded distributed delays, IEEE Transactions on Cybernetics, 43(1) (2013) 102-114.

20. Q. Song, Z. Wang and J. Liang, Analysis on passivity and passification of T-S fuzzy systems with time-varying delays, Journal of Intelligent & Fuzzy Systems, 24(1) (2013) 21-30.

21. J. Liang, Z. Wang, B. Shen and X. Liu, Distributed state estimation in sensor networks with randomly occurring nonlinearities subject to time-delays, ACM Transactions on Sensor Networks, 9(1) (Nov. 2012) Art. No. 4, doi: 10.1145/2379799.2379803.

22. J. Liang, Z. Wang, X. Liu and P. Louvieris, Robust synchronization for two-dimensional discrete-time coupled dynamical networks, IEEE Transactions on Neural Networks and Learning Systems, 23(6) (2012) 942-953.

23. J. Liang, Z. Wang and X. Liu, Distributed state estimation for uncertain Markov-type sensor networks with mode-dependent distributed delays, International Journal of Robust and Nonlinear Control, 22(3) (2012) 331-346.

24. B. Shen, Z. Wang, J. Liang and Y. Liu, Recent advances on filtering and control for nonlinear stochastic complex systems with incomplete information: a survey, Mathematical Problems in Engineering, Volume 2012, Article ID 530759, doi:10.1155/2012/530759.

25. L. Tian, J. Liang and J. Cao, Robust observer for discrete-time Markovian jumping neural networks with mixed mode-dependent delays, Nonlinear Dynamics, 67(1) (2012) 47-61.

26. Y. Yao, J. Liang and J. Cao, Stability analysis for switched genetic regulatory networks: an average dwell time approach, Journal of the Franklin Institute, 348(10) (2011) 2718-2733.

27. B. Shen, Z. Wang, J. Liang and X. Liu, Sampled-data filtering for stochastic genetic regulatory networks, International Journal of Robust and Nonlinear Control, 21(15) (2011) 1759-1777.

28. B. Lv, J. Liang and J. Cao, Robust distributed state estimation for genetic regulatory networks with Markovian jumping parameters, Communications in Nonlinear Science and Numerical Simulations, 16(10) (2011) 4060-4078.

29. Y. Yao, J. Liang and J. Cao, Robust stability of Markovian jumping genetic regulatory networks with disturbance attenuation, Asian Journal of Control, 13(5) (2011) 655-666.

30. J. Liang, Z. Wang and X. Liu, Robust synchronization of a class of coupled delayed networks with multiple stochastic disturbances: the continuous-time case, International Journal of Modern Physics B, 25(6) (2011) 757-780.

31. J. Liang, Z. Wang and X. Liu, Distributed state estimation for discrete-time sensor networks with randomly varying nonlinearities and missing measurements, IEEE Transactions on Neural Networks, 22(3) (2011) 486-496.

32. J. Liang, B. Shen, H. Dong and J. Lam, Robust distributed state estimation for sensor networks with multiple stochastic communication delays, International Journal of Systems Science, 42(9) (2011) 1459-1471.

33. Y. Wang, Z. Wang, J. Liang, Y. Li and M. Du, Synchronization of stochastic genetic oscillator networks with time delays and Markovian jumping parameters, Neurocomputing, 73(13-15) (2010) 2532-2539.

34. Y. Wang, Z. Wang and J. Liang, On robust stability of stochasdtic gegetic regulatory networks with time delays: a delay fractioning approach, IEEE Transactions on Systems Man and Cybernetics-B: Cybernetics, 40(3) (2010) 729-740.

35. J. Liang, Z. Wang and X. Liu, On passivity and passification of stochastic fuzzy systems with delays: the discrete-time case, IEEE Transactions on Systems, Man, and Cybernetics - Part B, 40(3) (2010) 964-969.

36. J. Liang, Z. Wang and X. Liu, Robust passivity and passification of stochastic fuzzy time-delay systems, Information Sciences, 180(9) (2010) 1725-1737.

37. J. Liang and J. Lam, Robust state estimation for stochastic gegetic regulatory networks, International Journal of Systems Science, 41(1) (2010) 47-63.

38. G. Wang and J. Liang, Exponential stability analysis for delayed stochastic Cohen-Grossberg neural networks, International Journal of Computational Intelligence Systems, 3(1) (2010) 96-102.

Jinling Liang, Zidong Wang and Xiaohui Liu (pp.117–149). Recent Advances in Nonlinear Dynamics and Synchronization (书名). Springer-Verlag Berlin Heidelberg 2009,2010.

Jinde Cao,Jinling Liang, Fengli Ren（参编Ch18,pp.389-429）. Artificial Higher Order Neural Networks for Economics and Business. Hershey, PA 17033, USA,2009.