Xujia Zhu defended his PhD thesis

Xujia Zhu successfully defended his PhD thesis entitled “Surrogate modeling for stochastic simulators using statistical approaches” on December 16, 2022. [Slides]

Xujia’s work focuses on developing efficient and accurate surrogate models for stochastic simulators, whose output for a given set of input parameters is a random variable instead of a deterministic value, in contrast to conventional computational models. In his thesis, he proposed two main stochastic surrogate models, namely the generalized lambda model and stochastic polynomial chaos expansions. He also investigated sensitivity analysis for stochastic simulators and seismic fragility analysis in earthquake engineering with the help of the stochastic emulators.

All associated publications can also be found here.