Wasi’s research will focus on nonlinear model updating using reduced-order models. This will ultimately allow us to update large models of complex structures using measure data, to ensure that our models (or Digital Twins) match the real-world systems. This will be a mixture of experimental and theoretical work, with the objective of developing a method before validating it experimentally.
