Professor Dormady proposes a highly efficient Bayesian updating framework that is integrated with multivariate Kriging surrogate modeling to quantify heteroscedastic uncertainties in the entire space of uncertain system variables and capture spatial and temporal dependencies among the responses using non-separable covariance structure.