Myself

Left: Me; Right: Gilbert Strang; At SIAM AN18, Portland OR

 

 

 

 

Current Teaching
Research interests
Publications
  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. E. Chung and S.-M. Pun. Online adaptive basis enrichment for mixed CEM-GMsFEM. Multiscale Modeling & Simulation 17 (4) 2019, 1103-1122.
  7. E. Chung and S.-M. Pun. Computational multiscale methods for first-order wave equation using CEM-GMsFEM. Journal of Computational Physics 409, 109359, 2020.
  8. E. Chung, J. Hu, and S.-M. Pun. Convergence of the CEM-GMsFEM for Stokes flows in heterogeneous perforated domains. Journal of Computational and Applied Mathematics (2021), 113327.
  9. E. Chung, W.-T. Leung, S.-M. Pun, and Z.-C. Zhang. A multi-stage deep learning based algorithm for multiscale model reduction. Journal of Computational and Applied Mathematics (2021), 113506.
  10. B. Chetverushkin, E. Chung, Y. Efendiev, S.-M. Pun, and Z.-C. Zhang. Computational multiscale methods for quasi-gas dynamic equations. Journal of Computational Physics (2021), 110352.
  11. Y. Efendiev, S.-M. Pun, and and P. N. Vabishchevich. Temporal splitting algorithms for non-stationary multiscale problems. Journal of Computational Physics (2021), 110375.
  12. 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.
  13. S. W. Cheung, E. Chung, Y. Efendiev, W.-T. Leung, and S.-M. Pun. Iterative Oversampling Technique for Constraint Energy Minimizing Generalized Multiscale Finite Element Method in the Mixed Formulation. arXiv preprint arXiv.2012.01817, 2020.
  14. S.-M. Pun and S. W. Cheung. Online Adaptive Algorithm for Constraint Energy Minimizing Generalized Multiscale Discontinuous Galerkin Method. arXiv preprint arXiv.2103.02677, 2021.
  15. E. Chung, Y. Efendiev, S.-M. Pun, and Z.-C. Zhang. Computational multiscale methods for parabolic wave approximations in heterogeneous media. arXiv preprint arXiv.2104.02283, 2021.

Past Teaching
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