3 papers
math.OC2026
Robust design optimization for a nonlinear system via Bayesian neural network enhanced polynomial dimensional decomposition
Hyunho Jang, Dongjin Lee
Uncertainties such as manufacturing tolerances cause performance variations in complex engineering systems, making robust design optimization (RDO) essential. However, simulation-b…
stat.AP2025
Predicting passenger injury distributions under uncertainty variables using Gaussian process modeling with GHBMC
Changmin Baek, Junik Cho, Dongjin Lee
This work presents a Gaussian Process (GP) modeling method to predict statistical characteristics of injury kinematics responses using Human Body Models (HBM) more accurately and e…
math.OC2025
Robust Design Optimization with Limited Data for Char Combustion
Yulin Guo, Dongjin Lee, Boris Kramer
This work presents a robust design optimization approach for a char combustion process in a limited-data setting, where simulations of the fluid-solid coupled system are computatio…