• Adaptive Bayesian Inference Framework for Joint Model and Noise Identification 

      Nabiyan M.-S., Ebrahimian H., Moaveni B., Papadimitriou C. (2022)
      Model updating, the process of inferring a model from data, is prone to the adverse effects of modeling error, which is caused by simplification and idealization assumptions in the mathematical models. In this study, an ...
    • Adaptive Kalman filters for nonlinear finite element model updating 

      Song M., Astroza R., Ebrahimian H., Moaveni B., Papadimitriou C. (2020)
      This paper presents two adaptive Kalman filters (KFs) for nonlinear model updating where, in addition to nonlinear model parameters, the covariance matrix of measurement noise is estimated recursively in a near online ...