Wang Li

Wang Li

Beijing Technology and Business University 

ScShool of Computer and Information Engineering

Automation

China 

wangli@th.btbu.edu.cn

Dr. Wang Li received the Ph.D. degree in control science and engineering from Beihang University in 2011. She has been with School of Computer and Information Engineering, Beijing Technology and Business University as a Lecturer from 2011 to 2014 and as an Associate Professor since 2014.

Her research interests include modeling, analysis and prediction of complex systems, statistical signal processing, time series analysis, artificial intelligence, and dynamic analysis. In particular, her present major interest is modeling, analysis and prediction of environmental systems and big data tendency analysis.

She is the Member of China Computer Society and Chinese Society of Artificial Intelligence. She has published about 20 papers in journals. She also owned multiple patents. She has been awarded Science and Technology Progress Award by Chinese Association for Artificial Intelligence in 2011.

Education

Books

Wang Li, Liu Zaiwen: Time series analysis in the application of reliability engineering. 06/2014;  China Light Industry Press.

Journal Publications

Wang Li, Wang Xiaoyi, et al. Time-varying nonlinear modeling and analysis of algal bloom dynamics [J]. Nonlinear Dynamics, 2016, 84(1): 371-378.

Wang L, Liu Z.W, Wu C.R, et al. Water bloom pre-diction and factor analysis based on multidimensional time series analysis[J]. CIESC Journal, 2013, 64(12): 4649-4655.

Wang li, Wang xiaoyi, et al. Multi-influence factors prediction for water bloom based on multi-sensor system [J]. Engineering Review,2014,34(2): 131-138.

Patents

Wang Li, Liu Zaiwen. Water bloom prediction and factor analysis method based on multivariate periodic stationary time series analysis and grey theory. Patent license number: CN103049669B.

Wang Li, Wang Xiaoyi, et al. Prediction method of algal bloom in Lake based on multivariate nonstationary time series analysis and neural network and support vector machine. Patent license number: CN103886218B.