research
∙
06/08/2023
Bayesian model calibration for diblock copolymer thin film self-assembly using power spectrum of microscopy data and machine learning surrogate
Identifying parameters of computational models from experimental data, o...
share
research
∙
05/23/2023
Automated spacing measurement of formwork system members with 3D point cloud data
The formwork system belonging to the temporary structure plays an import...
research
∙
01/20/2022
Derivative-informed projected neural network for large-scale Bayesian optimal experimental design
We address the solution of large-scale Bayesian optimal experimental des...
research
∙
02/12/2021
A fast and scalable computational framework for goal-oriented linear Bayesian optimal experimental design: Application to optimal sensor placement
Optimal experimental design (OED) is a principled framework for maximizi...
research
∙
11/02/2020
Bayesian inference of heterogeneous epidemic models: Application to COVID-19 spread accounting for long-term care facilities
We propose a high dimensional Bayesian inference framework for learning ...
research
∙
10/28/2020
