张启敏-数学统计学院

全体教师

‹‹

教授

性别	女	民族
出生年月	1964.2	职称	教授
职务		导师资格	博导，硕导
电话		联系地址	宁远楼209
E-mail	zhangqimin64@sian.com	姓名
教育经历	(1) 2002-02至2004-06, 西安交通大学, 应用数学，博士；<br> (2) 1992-09至1995-06, 四川大学, 应用数学, 硕士；<br> (3) 1982-09至1986-07, 宁夏大学, 数学, 学士。	工作经历	1986.7-1997.7 宁夏教育学院数学系教学<br> 1997.7-至今宁夏大学数学系教学
研究方向	生物数学与计算数学	承担项目	1. 国家自然基金委员会，地区项目，11661064，基于噪声影响的生物修复系统渐近行为及数值计算方法研究，2017-01至2020-12, 40万元，已结题，主持<br> 2. 国家自然基金委员会，地区项目，11461053，基于特征投影分解的随机种群发展系统数值计算方法研究，2015-01至2018-12, 38万元，已结题，参与<br> 3. 国家自然基金委员会，地区项目，11261043，基于随机噪声影响的种群系统最优控制理论与数值算法研究，2015-01至2018-12, 50万元，已结题，主持<br> 4. 国家自然基金委员会，地区项目，11061024，随机非线性种群发展系统数值解研究，2011-01至2013-12，28万元，已结题，主持<br>
科研成果	[1] Jie Ren, Qimin Zhang, Feilong Cao, Chunmei Ding, Li Wang. Modeling a stochastic age-structured capital system with Poisson jumps using neural networks, Information Sciences, 2020,516:254-265.<br> [2] Ting Kang, Qimin Zhang, Haiyan Wang. Optimal control of an avian influenza model with multiple time delays in state and control variables, Discrete and Continuous Dynamical SystemsSeriesB,2020,DOI:10.3934/dcdsb.2020278.<br> [3] XiaojieMu, QiminZhang. Near-optimal control forastochastic multi-strain epidemic model with age structure and Markovian switching, International Journal of Control, 2020, DOI:10.108 0/00207179.2020.1843074.<br> [4] Xiaojie Mu, Qimin Zhang, Libin Rong. Optimal vaccination strategy for an SIRS model with imprecise parameters and Lévy noise, Journal of the Franklin Institute, 2019, 356: 11385-11413. [5] Kangbo Bao, Libin Rong, Qimin Zhang. Analysis of stochastic SIRS model with interval parameters,Discrete andContinuousDynamical Systems-Series B,2019,24:4827-4849.<br> [6] Wenjuan Guo, Qimin Zhang, Libin Rong. A stochastic epidemic model with nonmonotone incidencerate: Sufficient andnecessaryconditions fornear-optimality,Information Sciences,2018, 467:670-684.<br> [7] Wenrui Li, Ming Ye, Qimin Zhang, Yan Li. Numerical approximation of a stochastic age-structured population model in a polluted environment with Markovian switching, Numerical MethodsForPartial DifferentialEquations,2020,36(6):1460-1491.<br> [8] Yanyan Du, Qimin Zhang, Anke Meyer-Baese. The positive numerical solution for stochastic age-dependent capital system based on explicit-implicit algorithm, Applied Numerical Mathematics,2021,DOI:10.1016/j.apnum.2021.02.015.<br> [9]Wenjuan Guo, Qimin Zhang. Explicit numerical approximation for an impulsive stochastic age-structured HIV infection model with Markovian switching, Mathematics and Computers in Simulation,2021,182:86-115.<br> [10] Wenjuan Guo, Qimin Zhang, MingYe. Convergence and asymptotic stability of an explicit numerical method for non-autonomous stochastic differential equations, Journal of Difference EquationsandApplications,2020,26(11-12):1538-1563.<br> [11] Mengqing Zhang, Qimin Zhang. A positivity preserving numerical method for stochastic R&Dmodel,AppliedMathematics andComputation,2019,351:193-203.<br> [12] Xiaojie Mu, Qimin Zhang, Libin Rong. Near-optimal control for a stochastic SIRS model withimpreciseparameters,AsianJournalofControl,2020,22(5):2090-2105. <br> [13] Shiliang Pan, Qimin Zhang, Anke Meyer-Baese. Near-optimal control of a stochastic vegetation-water system with reaction diffusion, Mathematical Methods in the Applied Sciences 2020,43(9):6043-6061.<br> [14] Zixiao Xiong, Qimin Zhang, Ting Kang∗. Bifurcation and stability analysis of a cross-diffusion vegetation-water model with mixed delays, Mathematical Methods in the Applied Sciences,2021,DOI:10.1002/mma.7384.<br> [15] Wenrui Li, Qimin Zhang, Anke Meyer-Baese. Taylor approximation of the solution of age-dependent stochastic delay population equations with Ornstein-Uhlenbeck process and Poissonjumps,Mathematical BiosciencesandEngineering, 2020,17(3):2650-2675.<br> [16] Yan Li, Qimin Zhang. The balanced implicit method of preserving positivity for the stochasticSIQSepidemic model,PhysicaA,2020,538:122972.<br> [17] Shiliang Pan, Qimin Zhang,Anke Meyer-Baese. Dynamic analysis of a soil organic matter andplantsystemwithreaction-diffusion,Chaos,SolitonsandFractals, 接受.<br> [18] Qiang Li, Qimin Zhang*, Boqiang Cao. Mean-square stability of stochastic age-dependent delay population systems with jumps,Acta MathematicaeApplicatae Sinica, English Series, 2018, 34(1):145-154.<br> [19] Qimin Zhang, Xinjing Zhang, Hongfu Yang. Global dissipativity of stochastic LotkaVolterra system with feedback controls, International Journal of Biomathematics, 2017, 10(2): 1750022.<br> [20] Qimin Zhang, Yating Liu, Xining Li. Strong convergence of split-step backward Euler method for stochastic age-dependent capital system with Markovian switching, Applied MathematicsandComputation,2014,235:439-453.<br> 出版的专著: [1] 张启敏, 杨洪福, 李西宁. 几类生物数学模型的理论与数值方法, 科学出版社, 2018 年, 497 万字.<br> [2] 张启敏, 李西宁, 岳红格. StochasticAge-structuredPopulationSystems, 科学出版社,2013 年,230 万字.<br>	学术任职
其它		职责

基本信息

姓名：张启敏性别：女
出生年月：1964.2职称/职务：教授
导师资格：博导，硕导电话：
联系地址：宁远楼209E-mail：zhangqimin64@sian.com

(1) 2002-02至2004-06, 西安交通大学, 应用数学，博士；
(2) 1992-09至1995-06, 四川大学, 应用数学, 硕士；
(3) 1982-09至1986-07, 宁夏大学, 数学, 学士。

1986.7-1997.7 宁夏教育学院数学系教学
1997.7-至今宁夏大学数学系教学

生物数学与计算数学

1. 国家自然基金委员会，地区项目，11661064，基于噪声影响的生物修复系统渐近行为及数值计算方法研究，2017-01至2020-12, 40万元，已结题，主持
2. 国家自然基金委员会，地区项目，11461053，基于特征投影分解的随机种群发展系统数值计算方法研究，2015-01至2018-12, 38万元，已结题，参与
3. 国家自然基金委员会，地区项目，11261043，基于随机噪声影响的种群系统最优控制理论与数值算法研究，2015-01至2018-12, 50万元，已结题，主持
4. 国家自然基金委员会，地区项目，11061024，随机非线性种群发展系统数值解研究，2011-01至2013-12，28万元，已结题，主持

[1] Jie Ren, Qimin Zhang*, Feilong Cao, Chunmei Ding, Li Wang. Modeling a stochastic age-structured capital system with Poisson jumps using neural networks, Information Sciences, 2020,516:254-265.
[2] Ting Kang, Qimin Zhang*, Haiyan Wang. Optimal control of an avian influenza model with multiple time delays in state and control variables, Discrete and Continuous Dynamical SystemsSeriesB,2020,DOI:10.3934/dcdsb.2020278.
[3] XiaojieMu, QiminZhang*. Near-optimal control forastochastic multi-strain epidemic model with age structure and Markovian switching, International Journal of Control, 2020, DOI:10.108 0/00207179.2020.1843074.
[4] Xiaojie Mu, Qimin Zhang*, Libin Rong. Optimal vaccination strategy for an SIRS model with imprecise parameters and Lévy noise, Journal of the Franklin Institute, 2019, 356: 11385-11413. [5] Kangbo Bao, Libin Rong, Qimin Zhang*. Analysis of stochastic SIRS model with interval parameters,Discrete andContinuousDynamical Systems-Series B,2019,24:4827-4849.
[6] Wenjuan Guo, Qimin Zhang*, Libin Rong. A stochastic epidemic model with nonmonotone incidencerate: Sufficient andnecessaryconditions fornear-optimality,Information Sciences,2018, 467:670-684.
[7] Wenrui Li, Ming Ye, Qimin Zhang*, Yan Li. Numerical approximation of a stochastic age-structured population model in a polluted environment with Markovian switching, Numerical MethodsForPartial DifferentialEquations,2020,36(6):1460-1491.
[8] Yanyan Du, Qimin Zhang*, Anke Meyer-Baese. The positive numerical solution for stochastic age-dependent capital system based on explicit-implicit algorithm, Applied Numerical Mathematics,2021,DOI:10.1016/j.apnum.2021.02.015.
[9]Wenjuan Guo, Qimin Zhang*. Explicit numerical approximation for an impulsive stochastic age-structured HIV infection model with Markovian switching, Mathematics and Computers in Simulation,2021,182:86-115.
[10] Wenjuan Guo, Qimin Zhang*, MingYe. Convergence and asymptotic stability of an explicit numerical method for non-autonomous stochastic differential equations, Journal of Difference EquationsandApplications,2020,26(11-12):1538-1563.
[11] Mengqing Zhang, Qimin Zhang*. A positivity preserving numerical method for stochastic R&Dmodel,AppliedMathematics andComputation,2019,351:193-203.
[12] Xiaojie Mu, Qimin Zhang*, Libin Rong. Near-optimal control for a stochastic SIRS model withimpreciseparameters,AsianJournalofControl,2020,22(5):2090-2105.
[13] Shiliang Pan, Qimin Zhang*, Anke Meyer-Baese. Near-optimal control of a stochastic vegetation-water system with reaction diffusion, Mathematical Methods in the Applied Sciences 2020,43(9):6043-6061.
[14] Zixiao Xiong, Qimin Zhang, Ting Kang∗. Bifurcation and stability analysis of a cross-diffusion vegetation-water model with mixed delays, Mathematical Methods in the Applied Sciences,2021,DOI:10.1002/mma.7384.
[15] Wenrui Li, Qimin Zhang*, Anke Meyer-Baese. Taylor approximation of the solution of age-dependent stochastic delay population equations with Ornstein-Uhlenbeck process and Poissonjumps,Mathematical BiosciencesandEngineering, 2020,17(3):2650-2675.
[16] Yan Li, Qimin Zhang*. The balanced implicit method of preserving positivity for the stochasticSIQSepidemic model,PhysicaA,2020,538:122972.
[17] Shiliang Pan, Qimin Zhang*,Anke Meyer-Baese. Dynamic analysis of a soil organic matter andplantsystemwithreaction-diffusion,Chaos,SolitonsandFractals, 接受.
[18] Qiang Li, Qimin Zhang*, Boqiang Cao. Mean-square stability of stochastic age-dependent delay population systems with jumps,Acta MathematicaeApplicatae Sinica, English Series, 2018, 34(1):145-154.
[19] Qimin Zhang, Xinjing Zhang, Hongfu Yang. Global dissipativity of stochastic LotkaVolterra system with feedback controls, International Journal of Biomathematics, 2017, 10(2): 1750022.
[20] Qimin Zhang, Yating Liu, Xining Li. Strong convergence of split-step backward Euler method for stochastic age-dependent capital system with Markovian switching, Applied MathematicsandComputation,2014,235:439-453.
出版的专著: [1] 张启敏, 杨洪福, 李西宁. 几类生物数学模型的理论与数值方法, 科学出版社, 2018 年, 497 万字.
[2] 张启敏, 李西宁, 岳红格. StochasticAge-structuredPopulationSystems, 科学出版社,2013 年,230 万字.

姓名：张启敏

职称：教授

导师类型：博士研究生导师

E-mail:zhangqimin64@sian.com

专业方向：生物数学

教育背景、社会兼职及获奖情况

(1) 2002-02至2004-06, 西安交通大学, 应用数学，博士；

(2) 1992-09至1995-06, 四川大学, 应用数学, 硕士；

(3) 1982-09至1986-07, 宁夏大学, 数学, 学士。

研究领域

生物数学与计算数学

代表性研究成果

[1] Jie Ren, Qimin Zhang*, Feilong Cao, Chunmei Ding, Li Wang. Modeling a stochastic age-structured capital system with Poisson jumps using neural networks, Information Sciences, 2020,516:254-265.

[2] Ting Kang, Qimin Zhang*, Haiyan Wang. Optimal control of an avian influenza model with multiple time delays in state and control variables, Discrete and Continuous Dynamical SystemsSeriesB,2020,DOI:10.3934/dcdsb.2020278.

[3] XiaojieMu, QiminZhang*. Near-optimal control forastochastic multi-strain epidemic model with age structure and Markovian switching, International Journal of Control, 2020, DOI:10.108 0/00207179.2020.1843074.

[4] Xiaojie Mu, Qimin Zhang*, Libin Rong. Optimal vaccination strategy for an SIRS model with imprecise parameters and Lévy noise, Journal of the Franklin Institute, 2019, 356: 11385-11413. [5] Kangbo Bao, Libin Rong, Qimin Zhang*. Analysis of stochastic SIRS model with interval parameters,Discrete andContinuousDynamical Systems-Series B,2019,24:4827-4849.

[6] Wenjuan Guo, Qimin Zhang*, Libin Rong. A stochastic epidemic model with nonmonotone incidencerate: Sufficient andnecessaryconditions fornear-optimality,Information Sciences,2018, 467:670-684.

[7] Wenrui Li, Ming Ye, Qimin Zhang*, Yan Li. Numerical approximation of a stochastic age-structured population model in a polluted environment with Markovian switching, Numerical MethodsForPartial DifferentialEquations,2020,36(6):1460-1491.

[8] Yanyan Du, Qimin Zhang*, Anke Meyer-Baese. The positive numerical solution for stochastic age-dependent capital system based on explicit-implicit algorithm, Applied Numerical Mathematics,2021,DOI:10.1016/j.apnum.2021.02.015.

[9]Wenjuan Guo, Qimin Zhang*. Explicit numerical approximation for an impulsive stochastic age-structured HIV infection model with Markovian switching, Mathematics and Computers in Simulation,2021,182:86-115.

[10] Wenjuan Guo, Qimin Zhang*, MingYe. Convergence and asymptotic stability of an explicit numerical method for non-autonomous stochastic differential equations, Journal of Difference EquationsandApplications,2020,26(11-12):1538-1563.

[11] Mengqing Zhang, Qimin Zhang*. A positivity preserving numerical method for stochastic R&Dmodel,AppliedMathematics andComputation,2019,351:193-203.

[12] Xiaojie Mu, Qimin Zhang*, Libin Rong. Near-optimal control for a stochastic SIRS model withimpreciseparameters,AsianJournalofControl,2020,22(5):2090-2105.

[13] Shiliang Pan, Qimin Zhang*, Anke Meyer-Baese. Near-optimal control of a stochastic vegetation-water system with reaction diffusion, Mathematical Methods in the Applied Sciences 2020,43(9):6043-6061.

[14] Zixiao Xiong, Qimin Zhang, Ting Kang∗. Bifurcation and stability analysis of a cross-diffusion vegetation-water model with mixed delays, Mathematical Methods in the Applied Sciences,2021,DOI:10.1002/mma.7384.

[15] Wenrui Li, Qimin Zhang*, Anke Meyer-Baese. Taylor approximation of the solution of age-dependent stochastic delay population equations with Ornstein-Uhlenbeck process and Poissonjumps,Mathematical BiosciencesandEngineering, 2020,17(3):2650-2675.

[16] Yan Li, Qimin Zhang*. The balanced implicit method of preserving positivity for the stochasticSIQSepidemic model,PhysicaA,2020,538:122972.

[17] Shiliang Pan, Qimin Zhang*,Anke Meyer-Baese. Dynamic analysis of a soil organic matter andplantsystemwithreaction-diffusion,Chaos,SolitonsandFractals, 接受.

[18] Qiang Li, Qimin Zhang*, Boqiang Cao. Mean-square stability of stochastic age-dependent delay population systems with jumps,Acta MathematicaeApplicatae Sinica, English Series, 2018, 34(1):145-154.

[19] Qimin Zhang, Xinjing Zhang, Hongfu Yang. Global dissipativity of stochastic LotkaVolterra system with feedback controls, International Journal of Biomathematics, 2017, 10(2): 1750022.

[20] Qimin Zhang, Yating Liu, Xining Li. Strong convergence of split-step backward Euler method for stochastic age-dependent capital system with Markovian switching, Applied MathematicsandComputation,2014,235:439-453.

出版的专著:

[1] 张启敏, 杨洪福, 李西宁. 几类生物数学模型的理论与数值方法, 科学出版社, 2018 年, 497 万字.

[2] 张启敏, 李西宁, 岳红格. StochasticAge-structuredPopulationSystems, 科学出版社,2013 年,230 万字.

主持完成的项目

1. 国家自然基金委员会，地区项目，11661064，基于噪声影响的生物修复系统渐近行为及数值计算方法研究，2017-01至2020-12, 40万元，已结题，主持

2. 国家自然基金委员会，地区项目，11461053，基于特征投影分解的随机种群发展系统数值计算方法研究，2015-01至2018-12, 38万元，已结题，参与

3. 国家自然基金委员会，地区项目，11261043，基于随机噪声影响的种群系统最优控制理论与数值算法研究，2015-01至2018-12, 50万元，已结题，主持

4. 国家自然基金委员会，地区项目，11061024，随机非线性种群发展系统数值解研究，2011-01至2013-12，28万元，已结题，主持

全体教师 ‹‹

教授

基本信息

全体教师

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