Research Overview

My research interests are:

• Inverse Modeling/Data Assmiliation with Uncertainty Quantification using ‘‘Big’’ Environmental Data Sets

• Scalable Numerical Modeling (Subsurface/Coastal Hydrodynamics) and Scale-dependent Model Upscaling

• Stochastic Optimization, Optimal Control and Data-Worth Analysis

• Physics-based Machine Learning

Previous and ongoing applications include:

• Geothermal site modeling and characterization of Utah FORGE

• Carbon storage site modeling and characterization

• Subsurface flow and transport modeling in high performance computing clusters

• Software Development for Inverse Modeling, Data Assimilation, and Kriging

• Space-time rainfall interporation

• Gas leakage detection and control (METEC facility, CO)

• Near-shore coastal bathymetry estimation (Army FRF site at Duck, NC)

• Subsurface characterization with hydraulic and tracer tomography

• Managed aquifer recharge and recovery

• Subsurface contaminant (DNAPL) characterization and remediation

Current Projects

1. DOE Utah FORGE Project: Role of Fluid and Temperature in Fracture Mechanics and Coupled THMC Processes for Enhanced Geothermal Systems (2021-2014, led by Purdue University)

2. Development of a Decision-Making Algorithm for Detection and Quantification of Leaks, NYSEARCH (2021-2023, led by University of Texas at Arlington)

3. NSF CSSI Elements: ALE-AMR Framework and the PISALE Codebase (2020-2024)

4. DOE FE NETL Science-informed Machine Learning for Accelerating Real Time Decisions in Subsurface Applications (SMART) Initiative Phase 1 (2022 - 2027)

5. Nearshore and riverine environment characterization for military vehicle mobility assessment, ORISE Research Participation Program funded by US Army ERDC-CHL (2017 - present)