• laixy@hust.edu.cn
  • 027-87543130
  • Zeng Zhigang

Professional Experience

Mar. 2013-present, Professor, School of Automation, Huazhong University of Science and Technology, Wuhan, Hubei, China.

Sep. 2008-Mar. 2013, Professor, Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, China.

May 2005-Aug. 2008, Professor, School of Automation, Wuhan University of Technology, Wuhan, Hubei, China.

Oct. 2009-Aug. 2010, Research Fellow, School of Computing and Mathematics, University of Western Sydney, Australia.

July 2005-Sep. 2006, Postdoctoral Research Fellow, Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong.

Sep. 2004-Dec. 2004, Research Associate, Department of Automation and Computer-Aided Engineering, The Chinese University of Hong Kong, Hong Kong.

Aug. 2003-May 2005, Postdoctoral Research Fellow, Department of Automation, University of Science and Technology of China, Hefei, China.

Dec. 2002-July 2003, Associate Professor, Department of Mathematics, Hubei Normal University, Huangshi, Hubei, China.

July 1996-Nov. 2002, Instructor, Department of Mathematics, Hubei Normal University, Huangshi, Hubei, China.

Selected Publications

[1] Zhigang Zeng, Wei Xing Zheng, “Multistability of neural networks with time-varying delays and concave-convex characteristics,” IEEE Transactions on Neural Networks and Learning Systems, Vol. 23, No. 2, pp. 293-305, 2012.

[2] Zhigang Zeng, Tingwen Huang and Wei Xing Zheng, “Multistability of recurrent neural networks with time-varying delays and the piecewise linear activation function,” IEEE Transactions on Neural Networks, Vol.21, No.8, pp.1371-1377, 2010.

[3] Zhigang Zeng, Jun Wang, “Associative memories based on continuous-time cellular neural networks designed using space-invariant cloning templates,” Neural Networks, Vol.22, pp.651-657, 2009.

[4] Zhigang Zeng, Jun Wang, “Design and analysis of high-capacity associative memories based on a class of discrete-time recurrent neural networks,” IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, Vol.38, No.6, pp.1525-1536, 2008.

[5] Zhigang Zeng, Jun Wang, “Analysis and design of associative memories based on recurrent neural networks with linear saturation activation functions and time-varying delays,” Neural Computation, Vol.19, No.8, pp.2149-2182, 2007.

[6] Zhigang Zeng, Jun Wang, “Global exponential stability of recurrent neural networks with time-varying delays in the presence of strong external stimuli,” Neural Networks, Vol.19, No.10, pp.1528-1537, 2006.

[7] Zhigang Zeng, Jun Wang, “Multiperiodicity of discrete-time delayed neural networks evoked by periodic external inputs,” IEEE Transactions on Neural Networks,(Regular Paper), Vol.17, No.5, pp.1141-1151, 2006.

[8] Zhigang Zeng, Jun Wang, “Improved conditions for global exponential stability of recurrent neural networks with time-varying delays,” IEEE Transactions on Neural Networks, (Regular Paper), Vol.17, No.3, pp.623-635, 2006.

[9] Zhigang Zeng, Jun Wang, “Complete stability of cellular neural networks with time-varying delays,” IEEE Transactions on Circuits and Systems-I: Regular Papers, Vol.53, No.4, pp.944-955, 2006.

[10] Zhigang Zeng, Jun Wang, “Multiperiodicity and exponential attractivity evoked by periodic external inputs in delayed cellular neural networks,” Neural Computation, Vol.18, No.4, pp.848-870, 2006.

[11] Zhigang Zeng, Jun Wang and Xiaoxin Liao, “Global asymptotic stability and global exponential stability of neural networks with unbounded time-varying delays,” IEEE Transactions on Circuits and Systems II, Express Briefs, Vol.52, No.3, pp.168-173, 2005.

[12] Zhigang Zeng, Jun Wang and Xiaoxin Liao, “Stability analysis of delayed cellular neural networks described using cloning templates,” IEEE Transactions on Circuits and Systems-I: Fundamental Theory and Applications, Vol.51, No.11, pp.2313-2324, 2004.

[13] Zhigang Zeng, Jun Wang and Xiaoxin Liao, “Global exponential stability of neural networks with time-varying delays,” IEEE Transactions on Circuits and Systems-I: Fundamental Theory and Applications, Vol.50, No.10, pp.1353-1358, 2003.

Awards and Honors

The First Prize of the Natural Science award of Hubei Province of China, “Dynamics behavior and its application of nonlinear systems”, Yi Shen, Zhigang Zeng, Boshan Chen and Xiaoxin Liao, 2008.

The First Prize of the Natural Science award of the Ministry of Education of China, “Research on the asymptotic theory and its application about complex system”, Zhigang Zeng, Yi Shen and Xiaoxin Liao, 2010.

The Second Class Prizes of the State Scientific and Technological Progress of China, “Landslide geological disaster prevention-control based on the evolution process: technoloy and application”, Huiming Tang, Xinli Hu, Shengyin Liao, Aijun Su, Renxian Sun, Liangqing Wang, Yiping Wu, Zhigang Zeng, Gaiping Gao, Qingyang Ren, Yongjin Cheng, Chengren Xiong, Guangcheng Zhang, Changdong Li, Xiang Wu, 2014.

Courses Taught

For Undergraduates: Operational Research

Project

Jan. 2012-Dec. 2015, National Science Fund of China for Distinguished Young Scholars under Grant 61125303.

Jan. 2011-Dec. 2013, Research Fund for the Doctoral Program of Higher Education of China under Grant 20100142110021.

Jan. 2011-Dec. 2013, Excellent Youth Foundation of Hubei Province of China under Grant 2010CDA081.

Jan. 2010-Dec. 2012, Natural Science Foundation of China under Grant 60974021.

Jan. 2008-Dec. 2010, Fok Ying Tung Education Foundation under Grant 111068.

Jan. 2008-Dec. 2010, Natural Science Foundation of China under Grant 60774051.

Jan. 2007-Dec. 2009, Program for New Century Excellent Talents in University of China under Grant NCET-06-0657.

Jan. 2005-Dec. 2007, Natural Science Foundation of China under Grant 60405002.

Jan. 2004-Dec. 2005, China Postdoctoral Science Foundation under Grant 2004035579.

Jan. 2003-Dec. 2005, Young Foundation of the Education Department of Hubei Province, China under Grant 2003B001.

Jan. 2014-Dec. 2015, Program for Science and Technology in Wuhan of China under Grant 2014010101010004.

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