Lucian Radu

Rapid post-disaster infrastructure damage characterisation using remote sensing and deep learning technologies: A tiered approach

Customized quasi-zero-stiffness metamaterials for ultra-low frequency broadband vibration isolation

Reliability of probabilistic numerical data for training machine learning algorithms to detect damage in bridges

A Bayesian approach based on a Markov-chain Monte Carlo method for damage detection under unknown sources of variability