Bayesian system identification
Applying Bayesian inference and Hierarchical Bayesian method for modal identification, model updating, data fusion, and uncertainty quantification; Developing Bayesian filtering and smoothing methods, including Kalman filter, nonlinear Bayesian filter, general Gaussian filter, partial filter, and RTS smoother, to accurately identify structural parameters, input loads and system states.