Siu Wun (Tony) Cheung is a research scientist in the Center for Applied Scientific Computing at Lawrence Livermore National Laboratory. He is a member of the reduced order modeling team who contribute to libROM. He obtained his doctoral degree in mathematics from Texas A&M University in 2020, under the direction of Yalchin Efendiev. His broad research area is in computational mathematics and scientific computing. His research interests include reduced order modeling, scientific machine learning, multiscale finite element methods, and discontinuous Galerkin methods.
Ph.D. in Mathematics (2020), Texas A&M University, College Station, Texas.
M.Phil. in Mathematics (2016), The Chinese University of Hong Kong, Hong Kong.
B.Sc. in Mathematics (2014), The Chinese University of Hong Kong, Hong Kong.
- Siu Wun Cheung, Youngsoo Choi, Dylan M. Copeland, and Kevin Huynh.
Local Lagrangian reduced-order modeling for the Rayleigh-Taylor instability by solution manifold decomposition.
Journal of Computational Physics, 472 (2023), 111655.
- Dylan Matthew Copeland, Siu Wun Cheung, Kevin Huynh, and Youngsoo Choi.
Reduced order models for Lagrangian hydrodynamics.
Computer Methods in Applied Mechanics and Engineering, 388 (2022), 114259.
- Siu Wun Cheung, Eric T. Chung, Yalchin Efendiev, and Wing Tat Leung.
Explicit and energy-conserving constraint energy minimizing generalized multiscale discontinuous Galerkin method for wave propagation in heterogeneous media.
Multiscale Modeling & Simulation, 19 (2021), 1736-1759.
- Siu Wun Cheung, Eric T. Chung, Yalchin Efendiev, Eduardo Gildin, Yating Wang, and Jingyan Zhang.
Deep global model reduction learning in porous media flow simulation.
Computational Geosciences, 24 (2020), 261-274.
- Siu Wun Cheung, Eric Chung, and Hyea Hyun Kim.
A mass conservative scheme for fluid-structure interaction problems by the staggered discontinuous Galerkin method.
Journal of Scientific Computing, (2018) 74, 1423–1456.