• 姓       名:姜立建
  • 职       称:教授
  • 学       位:博士
  • 所在机构:湖南大学 数学与计量经济学院
  • 出生年月: 1974年07月
  • 籍       贯:
  • 研究方向:计算统计;模型约化;多尺度数值方法及其应用
个人简介 学术成果 发表论文

教育背景

在美国Texas A&M大学获得应用数学博士学位。

工作经历

湖南大学数学院教授,博士生导师。

曾在美国明尼苏达大学的数学与应用研究所,美国洛斯阿拉莫斯国家实验室工作。

学术兼职

国际杂志 Journal of Computational and Applied Mathematics 和《数值计算与计算机应用》的编委。

教授课程

本科生:微分方程数值解

研究生:数值多尺度方法、线性偏微分方程

毕业生:随机微分方程的数值方法

科研项目

曾主持和参与国家自然科学基金和参与美国能源部项目。

1. Multiscale stochastic model reduction methods and some applications (CNSF).

2. Thousand Talents program (class C)

论文专著

在一些知名国际期刊, 比如SIAM Multiscale Modeling and Simulation, Computer,Methods in Applied Mechanics and Engineering, Journal of Hydrology等发表了二十多篇重要科学论文。

(1) L. Jiang and M. Presho, A resourceful splitting technique with applications to deterministic and stochastic multiscale finite element methods, SIAM Multiscale Modeling and Simulation, 10 (2012), pp. 954--985.

(2) L. Jiang* and D. Copeland, D. Moulton, Expanded mixed multiscale finite element methods and their application for flows in porous media, SIAM Multiscale Modeling and Simulation, 10 (2012), pp. 418--450.

(3) L. Jiang*, D. Moulton and D. Svyatskiy, Analysis of stochastic mimetic finite difference methods and

their applications in single-phase stochastic flows, Computer methods in applied mechanics and engineering, 217 (2012), pp. 58--76.

(4) X. He, L. Jiang*, and D. Moulton, A stochastic dimension reduction multiscale finite element method for groundwater flow problems in heterogeneous random porous media, Journal of Hydrology, 478 (2013), pp. 77--88.

(5) L. Jiang*, D. Moulton and J. Wei, A hybrid HDMR for stochastic mixed multiscale finite element method with application for flow in random porous media, SIAM Multiscale Modeling and Simulation, 12 (2014), pp.119--151.

( 6 ) H. Song, L. Jiang * and G. Chen, Convergence analysis of hybrid expanded mixed finite element method for elliptic equations, Computers & Mathematics with Applications, 68 (2014), pp. 1205--1219.

(7) J. Wei, G. Lin, L. Jiang and Y. Efendiev, Analysis of variance-based mixed multiscale finite element method and applications in stochastic two-phase flows, International journal for Uncertainty Quantification, 4 (2014), pp. 455---477.

(8) L. Jiang * and X. Li, Multi-element least square HDMR methods and their applications for stochastic multiscale model reduction, Journal of Computational Physics, 294 (2015) , pp 439--461.

( 9 ) H. Song, L. Jiang* and Q. Li, A reduced order method for Allen-Cahn equations, Journal of Computational and Applied Mathematics, 292 (2016), pp. 213--229.

( 10 ) L. Jiang* and Q. Li, Reduced multiscale finite element basis methods for elliptic PDEs with parameterized inputs, Journal of Computational and Applied Mathematics, 301 (2016), pp. 101-120.

(11) X. He, L. Jiang* and W. Xia, A stochastic model reduction method for nonlinear unconfined flow with multiple random input fields, Stochastic Environmental Research and Risk Assessment, 2016, DOI 10.1007/s00477-016-1241-7.

(12) Fuchen Chen, Eric Chung and Lijian Jiang*, Least-squares Mixed Generalized Multiscale Finite Element Method, 2015.

(13) Lijian Jiang* and Na Ou, Multiscale model reduction method for Bayesian inverse problems of subsurface flow, 2016.

(14) Lijian Jiang* and Qiuqi Li, Model's sparse representation based on reduced mixed GMsFE basis methods, 2016.

专利成果

发明了国际专利一项。

奖励/荣誉

2012年入选国家"青年"。