Work place: Department of Mathematics North University of China Taiyuan, P.R. China, 030051
E-mail: liumaoxing@126.com
Website:
Research Interests: Computer systems and computational processes, Numerical Analysis
Biography
Maoxing Liu was born in Shandong Province on June 28 1978. I had completed Master of Science degree under the supervision of Professor Yicang Zhou in the Department of Applied Mathematics of Xi'an Jiaotong University. In my thesis work and the publications, several discrete HIV/AIDS models were studied. After graduated from Xi'an Jiaotong University, I have become a teacher in North University of China. I have given some HIV/AIDS models and impulsive models in epidemiology and ecology with my partners. My three-year research experiences help me into a researcher in Mathematical Biology. In 2009, I have finished my Ph.D in Fudan University, majored in applied mathematics. My main mathematical interests are stability and bifurcation theory of differential equations, nonlinear dynamical systems, stochastic differential equations and numerical analysis. My main scientific interests lie in applying mathematical methods to models that arise in biology, especially epidemiology and ecology. My professional goal is to continue to develop and apply mathematical tools to problems arising in biology with an emphasis on collaborative and interdisciplinary research. My research activities cover a wide range of fields including stochastic differential equations, complex networks, spatial pattern formation, and so on. In other recent work, we developed Lassalle invariable principle for discrete stochastic differential equations driven by Brownian motion. This method is applicable to a wide class of discrete systems.
DOI: https://doi.org/10.5815/ijem.2011.06.09, Pub. Date: 5 Dec. 2011
In this paper, we will study a two-stage model by complex networks. The dynamic behaviors of the model on a heterogenous scale-free (SF) network are considered, where the absence of the threshold on the SF network is demonstrated, and the stability of the disease-free equilibrium is obtained.
[...] Read more.By Maoxing Liu Yunli Zhang Wei Han
DOI: https://doi.org/10.5815/ijieeb.2011.01.04, Pub. Date: 8 Feb. 2011
In this paper, we will study a two-stage model on complex networks. The dynamic behaviors of the model on a heterogeneous scale-free (SF) network are considered, where the absence of the threshold on the SF network is demonstrated, and the stability of the disease-free equilibrium is obtained. Four immunization strategies, proportional immunization, targeted immunization, acquaintance immunization and active immunization are applied in this model. We show that both targeted and acquaintance immunization strategies compare favorably to a proportional scheme in terms of effectiveness. For active immunization, the threshold is easier to apply practically.
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