Research Projects and Outcomes
Computational mathematics, finite element methods, multiphysics modeling, data assimilation, and scientific machine learning for porous media and related flow problems.
Funded Projects
Active
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DE-SC0024703
DOE Science Foundations for the Energy Earthshots
10/2023–09/2026
Advanced Multi-Physics Machine Learning for Subsurface Energy Systems Across Scales -
NSF #2349382
National Science Foundation DMS
09/2024–08/2027
REU Site: Applied Mathematics in Real World Problems
Completed
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Supplemental: Geothermal INTERN DMS-2419267
National Science Foundation DMS
06/2024–05/2025
Dear Colleague Letter: Non-Academic Research Internships for Graduate Students in Geothermal Energy -
Supplemental: Geothermal INTERN DMS-2327841
National Science Foundation DMS
06/2023–05/2024
Dear Colleague Letter: Non-Academic Research Internships for Graduate Students in Geothermal Energy -
Collaborative Research: DMS-2208402
National Science Foundation DMS
06/2022–06/2025
Physics-Preserving Adaptive Finite Element Methods for Thermo-Poroelasticity -
DMS-1913016
National Science Foundation DMS
08/2019–07/2022
Fluid-filled Fracture Propagation with a Phase-Field Approach in Subsurface by Employing Nonlinear Strain-Limiting Models and Enriched Galerkin Methods -
Florida State University Multidisciplinary Support 2020–2021MDS: #045490Studies for Degradation of Lignin-based Biodegradable Plastics to Prevent Marine Debris
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Florida State University First Year Assistant Professor Program (FYAP) 05/2018–08/2018CRC: 041950Optimal Error Estimate of Flow Problems with Dirac Sources in Subsurface for Discontinuous and Enriched Galerkin Methods
Research Areas
The links below point to focused pages for individual research themes.