Data-driven uncertainty quantification in macroscopic traffic flow models. - Alexandra Würth; Mickaël Binois; Paola Goatin; Simone Göttlich (Adv. Comput. Math., 2022)

Developing Distributed High-performance Computing Capabilities of an Open Science Platform for Robust Epidemic Analysis. - Nicholson T. Collier; Justin M. Wozniak; Abby Stevens; Yadu N. Babuji; Mickaël Binois; Arindam Fadikar; Alexandra Würth; Kyle Chard; Jonathan Ozik (IPDPS Workshops, 2023)

Validation of Calibration Strategies for Macroscopic Traffic Flow Models on Synthetic Data. - Alexandra Würth; Mickaël Binois; Paola Goatin (MT-ITS, 2023)

Road traffic flow reconstruction and prediction with macroscopic models enhanced by data-based statistical approaches. (Reconstruction et prévision des flux de trafic routier au moyen de modèles macroscopiques renforcées par des approches statistiques basées sur des données). - Alexandra Würth (2023)