# Simon, Sai-Mang Pun

Curriculum Vitae: Click here

MathSciNet: Click here

Math Genealogy Project: Click here

Google Scholar: Click here

Curriculum Vitae: Click here

MathSciNet: Click here

Math Genealogy Project: Click here

Google Scholar: Click here

- One can know everything about a matrix if one knows the spectrum of this matrix.
- Rewriting the equation does not critically change the solution, but it can help our understanding.
- A great discovery solves a great problem but there is a grain of disvoery in the solution of any problem.
- Young man, in mathematics you don't understand things. You just get used to them.
*- John von Neumann* - Happy wife, happy life!

- At TAMU:

2020 Fall: | MATH251-520 Engineering Mathematics III. |

- My current research interests include numerical analysis for partial differential equations with multiple scales.
- The main technique for solving these problems is generalized multiscale finite element method (GMsFEM).
- I am also interested in studying the goal-oriented adaptivity within the framework of GMsFEM.

- E. Chung, S. Pollock and S.-M. Pun.
*Goal-oriented adaptivity of mixed GMsFEM for flows in heterogeneous media.*Computer Methods in Applied Mechanics and Engineering, 323 (2017), pp.151-173. Download - E. Chung, S.-M. Pun and Z. Zhang.
*An adaptive dynamically low-dimensional approximation method for multiscale stochastic diffusion equations.*Journal of Computational and Applied Mathematics, 393 (2019), pp.302-313. Download - R. Altmann, E. Chung, R. Maier, D. Peterseim and S.-M. Pun.
*Computational multiscale methods for linear heterogeneous poroelasticity.*Journal of Computational Mathematics 38 (1) 2020, 41-57. - E. Chung, S. Pollock and S.-M. Pun.
*Online basis construction for goal-oriented adaptivity in the GMsFEM.*Journal of Computational Physics, 393 (2019), pp.59-73. Download - S. Fu, R. Altmann, E. Chung, R. Maier, D. Peterseim and S.-M. Pun.
*Computational multiscale methods for linear heterogeneous poroelasticity with high contrast.*Journal of Computational Physics, 395 (2019), pp. 286-297. Download - E. Chung and S.-M. Pun.
*Online adaptive basis enrichment for mixed CEM-GMsFEM.*Multiscale Modeling & Simulation 17 (4) 2019, 1103-1122. - E. Chung and S.-M. Pun.
*Computational multiscale methods for first-order wave equation using CEM-GMsFEM.*Journal of Computational Physics 409, 2020. - E. Chung, J. Hu, and S.-M. Pun.
*Convergence of the CEM-GMsFEM for Stokes flows in heterogeneous perforated domains.*arXiv preprint arXiv.2007.03237, 2020. - B. Chetverushkin, E. Chung, Y. Efendiev, S.-M. Pun, and Z.-C. Zhang.
*Computational multiscale methods for quasi-gas dynamic equations.*arXiv preprint arXiv.2009.00068, 2020. - E. Chung, W.-T. Leung, S.-M. Pun, and Z.-C. Zhang.
*A multi-stage deep learning based algorithm for multiscale model reduction.*arXiv preprint arXiv.2009.11341, 2020. - Y. Efendiev, S.-M. Pun, and and P. N. Vabishchevich.
*Temporal splitting algorithms for non-stationary multiscale problems.*arXiv preprint arXiv:2011.06077, 2020. - E. Chung, Y. Efendiev, W.-T. Leung, S.-M. Pun, and Z.-C. Zhang.
*Multi-agent Reinforcement Learning Accelerated MCMC on Multiscale Inversion Problem.*arXiv preprint arXiv.2011.08954, 2020.

- At TAMU:
- At CUHK:

2020 Spring: | Course Instructor, MATH417-503/504 Numerical Methods. |

2019 Fall: | Course Instructor, MATH251-504 Engineering Mathematics III. |

2019 Spring: | Teaching assistant, MATH2221 Mathematics Laboratory II. |

2018 Fall: | Teaching assistant, MATH3290 Mathematical Modeling. |

MATLAB review guide; | |

Additional example for Chapter 5. | |

2018 Spring: | Teaching assistant, MATH2221 Mathematics Laboratory II. |

2017 Fall: | Teaching assistant, MATH3290 Mathematical Modeling. |

2017 Spring: | Teaching assistant, MATH2230 Complex Variables and applications. |

2016 Fall: | Teaching assistant, MATH3290 Mathematical Modeling. |

2015 Fall: | Teaching assistant, MATH3290 Mathematical Modeling; |

Teaching assistant, MATH2230 Complex Variables and applications. |