Recent advances in critical infrastructures forecasting via Physics-Enhanced Machine Learning 

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• Alice Cicirello, University of Cambridge, UK
• Friday 23 May 2025, 14:30-15:30
• CivEng Seminar Room (1-33) (Civil Engineering Building).

If you have a question about this talk, please contact Shehara Perera.

This talk will introduce the concept of Physics-Enhanced Machine Learning (PEML) which combines data, physics and expert and domain knowledge to enhance modelling and forecasting capabilities of critical infrastructures such as bridges, ferry quays and wind turbines. PEML approaches developed to address challenges such as parameter identification and virtual sensing will be described. An overview of recent developments on model updates in the presence of sparse information, equation discovery in the presence of non-smooth nonlinearity, and measurements disentanglement will be provided. Finally open challenges are going to be summarised.

This talk is part of the Engineering Department Structures Research Seminars series.

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