Data-Driven Metadata Tagging for Building Automation Systems: A Unified Architecture. - Sakshi Mishra; Andrew Glaws; Dylan Cutler; Stephen M. Frank; Muhammad Azam 004; Farzam Mohammadi; Jean-Simon Venne (CoRR, 2020)

Inverse regression for ridge recovery: a data-driven approach for parameter reduction in computer experiments. - Andrew Glaws; Paul G. Constantine; R. Dennis Cook (Stat. Comput., 2020)

GANISP: a GAN-assisted Importance SPlitting Probability Estimator. - Malik Hassanaly; Andrew Glaws; Ryan N. King (CoRR, 2021)

Grassmannian Shape Representations for Aerodynamic Applications. - Olga A. Doronina; Zachary J. Grey; Andrew Glaws (CoRR, 2022)

Adversarial sampling of unknown and high-dimensional conditional distributions. - Malik Hassanaly; Andrew Glaws; Karen Stengel; Ryan N. King (J. Comput. Phys., 2022)

Separable shape tensors for aerodynamic design. - Zachary J. Grey; Olga A. Doronina; Andrew Glaws (J. Comput. Des. Eng., 2023)

G2Aero: A Python package for separable shape tensors. - Olga A. Doronina; Zachary J. Grey; Andrew Glaws (J. Open Source Softw., 2023)

Super Resolution for Renewable Energy Resource Data With Wind From Reanalysis Data (Sup3rWind) and Application to Ukraine. - Brandon N. Benton; Grant Buster; Pavlo Pinchuk; Andrew Glaws; Ryan N. King; Galen Maclaurin; Ilya Chernyakhovskiy (CoRR, 2024)

Explainable Binary Classification of Separable Shape Ensembles. - Zachary J. Grey; Nicholas Fisher; Andrew Glaws; Gunay Dogan (CoRR, 2024)

Mind the Gap: Bridging the Divide Between AI Aspirations and the Reality of Autonomous Characterization. - Grace Guinan; Addison Salvador; Michelle A. Smeaton; Andrew Glaws; Hilary Egan; Brian C. Wyatt; Babak Anasori; Kevin R. Fiedler; Matthew J. Olszta; Steven R. Spurgeon (CoRR, 2025)