个人简述:

2004--2008在中国石油大学（华东）自动化专业攻读本科，获工学学士学位；2008--2010年保送至天津大学电气与自动化工程学院，获工学硕士学位；2010—2014年在香港城市大学电子工程系学习，获博士学位；2015年4月进入北京工业大学信息学部自动化学院担任教职至今。

科研工作:

作为负责人主持的科研项目：1.国家自然科学基金青年基金项目：“城市污水处理出水氨氮浓度智能检测方法及应用研究”(No：61603012）.2.北京工业大学引进人才基金项目：“城市污水关键水质智能模型设计研究”.
作为主研人员参与的科研项目：1.国家自然科学基金重点项目：“城市污水处理优化运行控制知识自动化系统设计方法与应用验证”（No.61533002）.2.横向企事业委托项目：“炼油污水处理系统优化控制技术开发”（No：2016001）.
代表性论文：1.C. Yang, W. K. S. Tang,Design and topological analysis of complex networks with optimal controllability, International Journal of Bifurcation and Chaos, vol. 24, no. 07, pp. 1450103, 2014.2.C. Yang, K. S. Tang, Enhancing the synchronizability of networks by rewiring based on Tabu search and local greedy algorithm, Chinese Physics B, vol. 20, no. 12, pp. 128901, 2011.3.C. Yang, K. S. Tang, Z. Fan, Routing design for transmission capacity maximization in network, the IEEE International Symposium on Circuits and Systems, pp.1482-1485, 2015.4.Y. Liu, C. Yang, W. K. S. Tang, C. Li, Optimal topological design for distributed estimation over sensor networks, Information Sciences, vol. 254, no. 1, pp. 83-97, 2014.5.Y. Wang, C. Yang, Z. Zuo, On exponential stability analysis for neural networks with time–varying delays and general activation functions, Communications in Nonlinear Science and Numerical Simulation, vol. 17, pp. 1447–1459, 2012.6.C. Yang, Q. Jia, W. K. S. Tang, Enhancing synchronizability of complex networks via optimization, Springer, Chapter in Consensus and Synchronization in Complex Networks, ed. L. Kocarev, pp. 155-183, Springer, ISBN 978-3-642-33358-3, 2013.7.C. Yang, K. S. Tang, A degree-based genetic algorithm for constrained pinning control in complex networks, the IEEE International Symposium on Circuits and Systems, pp.902-905, 2012.8.C. Yang, K. S. Tang, Q. Jia, Node selection and gain assignment in pinning control using genetic algorithm, the 38th Annual Conference of the IEEE Industrial Electronics Society, pp.2354-2359, 2012.