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:

  • Space-time rainfall interporation

  • Subsurface characterization with hydraulic and tracer tomography

  • Managed aquifer recharge and recovery

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)