Building a Fuel Moisture Model for the Coupled Fire-Atmosphere Model WRF-SFIRE from Data: From Kalman Filters to Recurrent Neural Networks. - Jan Mandel; J. Hirschi; Adam K. Kochanski; Angel Farguell; James Haley; Derek V. Mallia; Bryan Shaddy; Assad A. Oberai; Kyle A. Hilburn (CoRR, 2023)

Generative Algorithms for Fusion of Physics-Based Wildfire Spread Models with Satellite Data for Initializing Wildfire Forecasts. - Bryan Shaddy; Deep Ray; Angel Farguell; Valentina Calaza; Jan Mandel; James Haley; Kyle Hilburn; Derek V. Mallia; Adam K. Kochanski; Assad A. Oberai (CoRR, 2023)

Tumor spheroid elasticity estimation using mechano-microscopy combined with a conditional generative adversarial network. - Ken Y. Foo; Bryan Shaddy; Javier Murgoitio-Esandi; Matt S. Hepburn; Jiayue Li; Alireza Mowla; Rowan W. Sanderson; Danielle Vahala; Sebastian E. Amos; Yu Suk Choi; Assad A. Oberai; Brendan F. Kennedy (Comput. Methods Programs Biomed., 2024)

Unifying and extending Diffusion Models through PDEs for solving Inverse Problems. - Agnimitra Dasgupta; Alexsander Marciano da Cunha; Ali Fardisi; Mehrnegar Aminy; Brianna Binder; Bryan Shaddy; Assad A. Oberai (CoRR, 2025)

Generative Algorithms for Wildfire Progression Reconstruction from Multi-Modal Satellite Active Fire Measurements and Terrain Height. - Bryan Shaddy; Brianna Binder; Agnimitra Dasgupta; Haitong Qin; James Haley; Angel Farguell; Kyle Hilburn; Derek V. Mallia; Adam K. Kochanski; Jan Mandel; Assad A. Oberai (CoRR, 2025)