Wei Wang received his BS and MS degrees in mathematics from Henan University, Kaifeng-Henan-China and Northwest University, Xi’an-Shannxi-China in 1985 and 1988, respectively. He received his Ph.D. degree in control theory and operations research from the Institute of Systems Science, Chinese Academy of Sciences in 1994. From 1994 to 1996, he was a post-doctoral fellow at the Institute of Transportation Automation, Beijing Jiaotong University, Beijing, China. Since 2004, he has joined the Department of Mathematics, Information School, Renmin University of China (RUC), Beijing, China. As a visiting scholar, he was with the Department of Mathematics at the University of Georgia, Athens, Georgia, USA for six months from September 2008 to March 2009. He is also the research fellow of the National Survey Research Center at RUC, and the Laboratory of Social and Economical Systems, RUC, China. As the coauthor of the paper "Nonlinear tracking-differentiators", because of the contribution made there for the first time concerning the proposition of general forms of nonlinear tracking-differentiators (TDs) and for the establishment of the theory for TDs so that a difficult problem can be solved for obtaining the proper signals and their differential signals from the signals which contain noise or are non-differentiable, he and his PhD. advisor Prof. Han Jingqing won the prize of the first 10 best papers in systems science for 30 years, in which the papers are selected from the published ones by the Journal of Systems Science and Mathematical Sciences and the Journal of Systems Science and Complexity from 1979 to 2009. He proposed the new separation principle for the synthesis of PID controllers, the double-regulation control mechanism for more general uncertain control systems. He also proposed the stripping principle and optimal method for uncertain networked control systems and even complex systems. Based on the Taylor’s formula and the theory of tracking-differentiators, he also proposed the new strategy on the reconstruction or prediction for observations of signals with uncertain dynamics. He published more than 100 papers and two books, and most of the papers are carried out by himself. His research interest includes the theory and applications of nonlinear control systems, networked control systems, and the analysis and synthesis of complex distributed systems. He also has the interest on the estimation and prediction of nonlinear systems with uncertainties, the improvement of adaptability for time series models, the analysis and modeling of social and economical systems based on the stochastic systems theory, advanced machine learning, etc.