Curriculum Vitae

Name: Yongchang Zhao

Current position: lecturer

Contact Information:

School of Mathematical Sciences,

OceanUniversity of China,

238 Songling Road,

Qingdao, China, 266100

Email: zhch0205@gmail.com

Office Phone: (86)0532-66787266

Education:
Ph.D. in ocean information detection and processing，July 2010

College of Information Science and Engineering, Ocean University of China, P. R. China,

M. Sc. in applied mathematics ，July 2007
Department of Mathematics, Ocean University of China, P. R. China,
B. Sc. in Operations Research ，July 2004
Department of Mathematics, Ocean University of China, P. R. China

Professional Experience:

2010—present: in School of Mathematical Science at Ocean University of China
Current position: Lecturer
Teaching Courses: Advanced Mathematics, Linear algebra

Research Interests:
Differential equations and dynamical systems,such as Exponential Stability of Impulsive Stochastic Static Neural Networks with Time-Varying Delays,

Grants:

1.National Natural Science Foundation of China (No11171347), Stochastic stability and Stochastic attractor of delayed reaction-diffusion neural network with white noise. 2012.1-2015.12

2.Natural Science Foundation of Shandong province (No:),Nonlinear analysis of stochastic reaction-diffusion neural network with delays. 2012.1-2014.12.

3. National Natural Science Foundation of China (No. 41306002), Ensemble assimilation research of directional wave spectra data from satellite remote sensing based on ocean wave model SWAN, 2014.1-2016.12

Selected Publications:

1. Global Exponential Stability of Impulsive Static Neural Networks with time-Varying Delays，ICCIT 2009 Fourth International Conference on Computer Sciences and Convergence Information Technology,pp.1236-1239.

2.Global exponential stability of an almost periodic solution for competitive neural networks with distributed delays and different time-scales, Journal of Shandong U niversity( Natural Science) Vo. 45(2010),pp.60-64.

3.Existence and global exponential convergence of almost periodic solution for competitive neural networks with varying time-delays and different time-scales,Journal of Natural Science of Heilongjiang University,vol.23(2006),pp.470-473.

4.Existence and uniqueness of an almost periodic solution for competitive neural networks with distributed delays and different time-scales, Journal of Shandong U niversity( Natural Science) Vo. 42(2007),pp.8-12.