- GNNs and Beam Dynamics: Investigation into the application of Graph Neural Networks to predict the dynamic behaviour of lattice beams
- A surrogate model approach to study the effect of rainfall through cracks on the macro-stability of canal dikes
- Bayesian system identification of civil engineering structures using high resolution optic fibre measurements and surrogate modelling
- Surrogate modelling framework for probabilistic assessment of slope stability of dikes on heterogeneous soils
- Data-driven optimization of building-integrated ducted openings for wind energy harvesting: Sensitivity analysis of metamodels
- An Efficient Modeling Approach for Probabilistic Assessments of Present-Day and Future Fluvial Flooding
- Safety Performance Boundary Identification of Highly Automated Vehicles: A Surrogate Model-Based Gradient Descent Searching Approach
- Long-term viscoelastic deformation monitoring of a concrete dam: A multi-output surrogate model approach for parameter identification