师资队伍

基本信息

姓名:姜立建

部门:计算数学

职称:教授

E-mail:ljjiang@tongji.edu.cn

研究方向:
  1. Multiscale method and computation
  2. Uncertainty quantification,  Computational  statistics 
  3. Porous media application 
工作经历:

2018/01-present   School of  Mathematics,  Tongji University,  Professor 

2013/02-2017/12   Institute of Mathematics,   Hunan University, Professor 

2010/09-2013/01  LANL,  USA, Research fellow

2008/09-2010/08  IMA,  University of Minnesota,  USA, Postdoctoral fellow 

论文与出版物:

Representative works in recent 5 years (* denotes corresponding author):

  1. F. Chen, E. Chung, L. Jiang *, Adaptive least-squares generalized multiscale finite element method, to appear in SIAM Multiscale Modeling and Simulation, 2018.
  2. L. Jiang* and N. Ou, Bayesian inference using intermediate distribution based on coarse multiscale model for time fractional diffusion equation, SIAM Multiscale Modeling and Simulation, 16 ( 2018), pp. 327-355.
  3. L. Jiang* and Q. Li, Model reduction method using variable-separation for stochastic saddle point problems, Journal of Computational Physics, 354 (2018), pp. 43-66.
  4. Q. Li and L. Jiang*, A novel variable-separation method based on sparse representation for stochastic partial differential equations, SIAM Journal on Scientific Computing, 39 (2017), pp. A2879-2910.
  5. L. Jiang* and Q. Li, Model's sparse representation based on reduced mixed GMsFE basis methods, Journal of Computational Physics, 38 (2017), pp. 285--312.
  6. L. Jiang* and N. Ou, Multiscale model reduction method for Bayesian inverse problems of subsurface flow, Journal of Computational and Applied Mathematics, 319 (2017), pp. 188-209.
  7. F. Chen, E. Chung and L. Jiang*, Least-squares mixed generalized multiscale finite element method, Computer methods in applied mechanics and engineering, 311 (2016), pp. 764--787.
  8. L. Jiang* and X. Li, Multi-element least square HDMR methods and their applications for stochastic multiscale model reductions, Journal of Computational Physics, 294 (2015) , pp 439--461
  9. 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.
  10. 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.

Editorial Service

    ●Associate Editor: Journal of Computational and Applied Mathematics

    ●Associate Editor: Journal on Numerical Methods and Computer Applications (数值计算与计算机应用)

 

I am looking for graduate students (master and Ph.D) to join  our research group. Senior undergraduate students are also welcome. Our research attempts to develop, analyze and implement novel computation  methods and statistical methods for multiscale models and stochastic models, and investigates their applications in applied sciences and engineering. Interdisciplinary research is our preference. Basic knowledge of numerical analysis is required. Research assistanceship is provided. For further information, please contact me via email: ljjiang@tongji.edu.cn.
 

欢迎具有理工科背景且熟悉一些科学计算的考生, 特别欢迎有志于硕博连读或者直博考生联系我。
 

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