Sanghyun Lee, PhD
Funded Projects
● Click this link for NSF Project Webpage
DOE::Science Foundations for the Energy Earthshots LinkDE-SC0024703 Advanced Multi-Physics Machine Learning for Subsurface Energy Systems Across Scales
PI: The Univeristy of Texas at El Paso, (Co-PIs) Florida State University, Sandia Nationanl Lab, University of Utah
10/2023-9/2026
NSF:: DMS-2208402
Collaborative Research: Physics-Preserving Adaptive Finite Element Methods for Thermo-Poroelasticity
06/2022-06/2025, link
MDS::#045490 (The Multidisciplinary Support program)
Studies for Degradation of Lignin-based Biodegradable Plastics to Prevent Marine Debris
2020 - 2021
NSF:: DMS-1913016
Fluid-filled Fracture Propagation with a Phase Field Approach in Subsurface by Employing Nonlinear Strain Limiting Models and Enriched Galerkin Methods :: link
08/01/2019 - 7/31/2022
CRC::041950, FYAP (First Year Assistant Professor Award)
Optimal error estimate of flow problems with Dirac sources in subsurface for discontinuous and enriched Galerkin methods
5/7/2018-8/3/2018
Postdoctoral Fellow
Dr. SeongHee Jeong (Fall 2023 - Spring 2025)
✩ SeongHee Jeong, Sanghyun Lee Optimal Control for Darcy's flow in a heterogeneous porous media, Applied Numerical Mathematics, Volume 207 , January 2025, Pages 303-3222
Current Graduate Students
Yi-Yung Yang (2021 - 2026)
Supported by NSF:: DMS-2208402
✩ Hyun-Geun Shin, Yi-Yung Yang, Sanghyun Lee A Posteriori Error Estimation for Parabolic Equations with Enriched Galerkin Finite Element Methods
✩ Dmitri Kuzmin, Sanghyun Lee, Yi-Yung Yang Bound-preserving and entropy stable enriched Galerkin methods for nonlinear hyperbolic equations
Seungmin Lee (2023)
Supported by DE-SC0024703✩ Seungmin Lee, Sanghyun Lee Convergence and Numerical Simulations of the Continuous Data Assimilation for Biot's Poroelasticity System