李勇

一、基本信息

 

 

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姓 名

李勇

最终学历

博士

职 称

副教授

职 务

 

学 位

博士

电子邮件

yongli@yangtzeu.edu.cn

通信地址

长江大学东校区8号教学楼信息与数学学院

邮政编码

434023

研究方向

生物数学

社会职务

 

二、个人简历

李勇,长江大学信息与数学学院副教授,硕士生导师,20146月于华中师范大学数学与统计学学院获得理学博士学位,201512-201812月在西南大学数学博士后科研流动站从事科学研究工作,20146月起任职于长江大学信息与数学学院,长江大学第三批菁英人才。研究方向为:生物数学、公共卫生统计学。公开发表学术论文20余篇,其中SCI 17篇。主持国家自然科学基金1项,参与国家自然科学基金3项;主持湖北省自然科学基金、湖北教育厅科研项目及重庆市博士后特别资助项目各1项。

 

三、教学情况及成果

1、讲授的主要课程

 本科生课程:

《高等代数》、《数学分析》、《常微分方程》、《随机过程》;

研究生课程:

《常微分方程定性与稳定性理论》、《变分不等式理论及其应用》

2、承担的实践性教学任务

(1) 指导数学建模,获得全国一等奖1项,二等奖9项;

(2) 指导本科生毕业论文,共30多人,1人获得省优秀学士学位毕业论文;
(3)
指导2015201720192021年湖北省大学生创新训练计划项目;

 

3、主持及参与的教学研究项目

12017年湖北省教研项目,基于创新型人才培养的地方高校高等数学教学模式的改革与实践,2017289,已结项,参与。

22018年长江大学教研项目,数学专业实践教学资源整合与优化配置研究,已结项,主持。

四、近几年的学术研究
1、承担的学术研究课题

12017年湖北省教育厅项目,已结项,主持;

22017年重庆市博士后科研项目特别资助,已结项,主持;

32019年湖北省自然科学基金,已结项,主持;

42019年国家自然科学基金,在研,主持;

 

2、发表的学术论文

 

[1] Yong Li, Xianning Liu*, Yiyi Yuan, Jiang Li, Lianwen Wang. Global analysis of tuberculosis dynamical model and optimal control strategies based on case data in the United States, Applied Mathematics and Computation. 2022, 422: 126983.

[2] Xia Ma, Xiaofeng Luo, Li Li, Yong Li, Guiquan Sun*. The influence of maskuse on the spread of COVID-19 during pandemic in New York City, Results in Physics. 2022, 34: 105224.

[3] Hongwei Rui, Xianping He, Yong Li*, Dynamical analysis of an impulsive stochastic infected predator-prey system with BD functional response and modified saturated incidence, Journal of Applied Mathematics and Computing. 2022, https://doi.org/10.1007/s12190-021-01678-8

[4] Lianwen Wang, Zhijun Liu*, Caihong Guo, Yong Li, Xinan Zhang, New global dynamical results and application of several SVEIS epidemic models with temporary immunity, Applied Mathematics and Computation. 2021, 390: 125648. 

[5] Yong Li, Lianwen Wang, Zhihang Peng*, Hongbing Shen*, Basic reproduction number and predicted trends of coronavirus disease 2019 epidemic in the mainland of China, Infectious Diseases of Poverty. 2020, 9: 94.

[6] Yan Wu, Meng Huang, Ximei Wang, Yong Li*, The prevention and control of tuberculosis: an analysis based on a tuberculosis dynamic model derived from the cases of Americans, BMC Public Health. 2020; 20: 1173. doi: 10.1186/s12889-020-09260-w

[7] Zuqin Ding, Yong Li, Yongli Cai, Yueping Dong, and Weiming Wang*, Optimal Control Strategies of HFMD in Wenzhou, China, Complexity. 2020, Article ID 5902698, 15 pages.

[8] Lianwen Wang, Yong Li, Zhijun Liu*, Dashun Xu, Complete dynamical analysis for a nonlinear HTLV-I infection model with distributed delay, CTL response and immune impairment, Discrete and Continuous Dynamical Systems - Series B. 202025(3):917-933.

[9] Wanru Jia, Jie Weng, Cong Fang and Yong Li*, A dynamic model and some strategies on how to prevent and control hepatitis C in mainland China, BMC infectious Diseases, 2019; 19: 724.

[10] Yong Li, Xianning Liu*, Lianwen Wang and Xinan Zhang. Hopf bifurcation of a delay SIRS epidemic model with novel nonlinear incidence: Application to scarlet fever, International Journal of Biomathematics. 2018, 11(7),1850091.

[11] Yong Li, Xianning Liu* and Lianwen Wang, Modelling the transmission dynamics and control of mumps in mainland China, International Journal of Environmental Research and Public Health. 2018, 15(1), 33; doi:10.3390/ijerph15010033.

[12] Yong Li*, Lianwen Wang, Liuyong Pang, Sanhong Liu, The data fitting and optimal control of a hand, foot and mouth disease (HFMD) model with stage structure, Applied Mathematics and Computation. 2016; 276:61-74.

[13] Lianwen Wang, Yong Li*, Liuyong Pang, Dynamics analysis of an epidemiological model with media impact and two delays, Mathematical Problems in Engineering; Volume 2016, Article ID 1598932, 9 pages.

[14] Jinhui Zhang*, Yong Li, Xinan Zhang, Mathematical modeling of tuberculosis data of China, Journal of Theoretical Biology. 2015; 365: 159-163. doi:10.1016/j.jtbi.2014.10.019.

[15] Yong Li, Jinhui Zhang, Xinan Zhang*, Modeling and preventive measures of Hand, Foot and Mouth Disease (HFMD) in China, International Journal of Environmental Research and Public Health. 2014; 11(3): 3108-3117. doi:10.3390/ijerph110303108.

 

 

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