Software

Model Diagnostics • 2010

Model Analysis and Decision Support framework for calibration, uncertainty quantification, and diagnostics.

• Sensitivity analysis, parameter estimation, inversion, and calibration
• Uncertainty quantification, model selection, and surrogate modeling

AI/ML Framework • 2021

Framework for unsupervised, supervised, and physics-informed machine learning with matrix/tensor factorization methods.

• NMFk and NTFk for nonnegative matrix and tensor factorization
• Feature extraction, anomaly detection, image recognition, and model diagnostics

Hydrology Modeling • 2010

Analytical simulator for multi-well pumping drawdown analysis in confined, unconfined, and leaky aquifers.

• Confined, unconfined, and leaky aquifer solutions
• Fully and partially penetrating pumping and observation wells

AI/ML Toolkit • 2021

Physics-informed machine learning subroutines for integrating scientific constraints into ML workflows.

• Reusable physics-informed ML building blocks
• Supports science-informed diagnostics and workflow integration

Inverse Modeling • 2020

Regularized inverse analysis using variational autoencoders for high-dimensional parameter fields.

• VAE-based regularization for inverse problems
• Handles coherent high-dimensional parameter fields

Data Analytics • 2019

Support Vector Regression tools for data-driven regression analysis.

• Support vector regression for predictive modeling
• Useful for surrogate modeling and data-driven analysis