讲授课程自动控制原理
研究方向神经网络理论与应用；切换系统控制理论与应用；计算智能；动力系统稳定性；模式识别与联想记忆。
学术生涯担任过二十多个国际学术会议的程序委员会委员，出版主席等。为包括IEEE Transactions on Neural Networks；IEEE Transactions on Circuits and Systems I；IEEE Transactions on Circuits and Systems –II；IEEE Transactions on Systems Man and Cybernetics - Part B；IEEE Transactions on Automatic Control；Automatica在内的二十四个国际学术刊物审稿。希望招收的研究生具有自动化、数学、计算机等相关专业背景。
主持基金项目（1）中国博士后科学基金：人工神经网络的收敛性及其在模式识别中的应用（2004035579）。
（2）国家自然科学基金：一种新的基于RNN簇吸引子的模式流识别方法研究（60405002）。
（3）教育部 “新世纪优秀人才支持计划” （NCET-06-0658）“基于神经网络的模式识别和联想记忆的理论研究”。
（4）国家自然科学基金：网络簇多吸引子协调切换及多目标流异联想研究(60774051)资助。
（5）霍英东第十一届青年教师基金：“基于切换网络簇多吸引子的动态灰度流记忆研究(111068)”
部分发表论文（1）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.
（2）Zhigang Zeng, Pei Yu and Xiaoxin Liao, “A new comparison method for stability theory of differential systems with time-varying delays,” International Journal of Bifurcations and Chaos, Vol.18, No. 1, pp. 169-186, 2008.
（3）Zhigang Zeng, De-Shuang Huang and Zengfu Wang, “Pattern memory analysis base on stability theory of cellular neural networks,” Applied Mathematical Modelling, Vol.32, No.1, pp.112-121, 2008.
（4）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.
（5）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.
（6）Zhigang Zeng, Jun Wang, “Multiperiodicity of discrete-time delayed neural networks evoked by periodic external inputs,” IEEE Transactions on Neural Networks, (Regular Papers), Vol. 17, No.5, pp. 1141-1151，2006.
（7）Zhigang Zeng, Jun Wang, “Improved conditions for global exponential stability of recurrent neural networks with time-varying delays,” IEEE Transactions on Neural Networks, (Regular Papers), Vol. 17, No.3, pp. 623-635，2006.
（8）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.
（9）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.
（10）Zhigang Zeng, De-Shuang Huang and Zengfu Wang, “Global stability of a general class of discrete-time recurrent neural networks,” Neural Processing Letters, Vol.22, No.1, pp.33-47, 2005.
（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, De-Shuang Huang and Zengfu Wang, “Memory pattern analysis of cellular neural network,” Physics Letters A, Vol.342, No.1-2, pp.114–128, 2005.
（13）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: Regular Papers. Vol.51, No.11, pp.2313-2324, 2004.
（14）Zhigang Zeng, De-Shuang Huang and Zengfu Wang, “Attractability and location of equilibrium point of cellular neural networks with time-varying delays,” International Journal of Neural Systems, Vol. 14, No. 5, pp.337-345, 2004.
（15）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.
