Mostafa E. Mobasher

Physics-Audited Agentic Discovery in Scientific Machine Learning

Diab W. Abueidda, Bilal Ahmed, Panos Pantidis, Mostafa E. Mobasher

In agentic scientific machine learning (SciML), large language model (LLM) agents can discover surrogate models and select one by an automated score, typically an error metric. A low error, however, does not establish that the predicted fields satisfy the physics that matter for…Read more

Predicting soil properties for the purpose of site characterization using advanced Machine Learning approaches

Prajowal Manandhar, Tarek Abdoun, Mostafa E. Mobasher, Waleed El-Sekelly

Damage identification for bridges using machine learning: Development and application to KW51 bridge

Yuqing Qiu, Bilal Ahmed, Diab W. Abueidda, Waleed El-Sekelly, Borja García de Soto, Tarek Abdoun, et al.