[9] Author: Lee, M., & Lee, I.
Title: A study on multi-fidelity surrogate for multiple data sources
Conference: 16th World Congress of Structural and Multidisciplinary Optimization (WCSMO), 2025
[8] Author: Lee, M., & Lee, I.
Title: Multi-fidelity parallel Bayesian optimization for efficient budget utilization
Conference: 16th World Congress of Structural and Multidisciplinary Optimization (WCSMO), 2025
[7] Author: Lee, M., & Lee, I.
Title: Improving local optima exploration in topology optimization using multi-fidelity framework
Conference: 16th World Congress of Structural and Multidisciplinary Optimization (WCSMO), 2025
[6] Author: Lee, M., & Lee, I.
Title: Physics-informed generative design framework for efficient conceptual design
Conference: 16th World Congress of Structural and Multidisciplinary Optimization (WCSMO), 2025
[5] Author: Lee, M., & Lee, I.
Title: An efficient sampling strategy for a multi-fidelity surrogate
Conference: 16th World Congress of Structural and Multidisciplinary Optimization (WCSMO), 2025
[4] Author: Lee, M., & Lee, I.
Title: Hierarchical Gaussian process surrogate modeling framework for heterogeneous multi-fidelity dataset
Conference: International Design Engineering Technical Conferences (IDETC)
and Computers and Information in Engineering (CIE) Conference, 2023
[3] Author: Lee, M., & Lee, I.
Title: Adaptive Infill Sampling Method for Gradient-Enhanced Kriging
Conference: 15th World Congress on Computational Mechanics (WCCM-XV)
and 8th Asian Pacific Congress on Computational Mechanics (APCOM-VIII), 2022
[2] Author: Lee, M., & Lee, I.
Title: Efficient tire pattern design using deep learning methodology
Conference: 14th World Congress of Structural and Multidisciplinary Optimization (WCSMO), 2021
[1] Author: Lee, M., & Lee, I.
Title: Improving the Efficiency of Structural Optimization using Reanalysis-assisted Surrogate Modeling
Conference: Asian Congress of Structural and Multidisciplinary Optimization (ACSMO), 2020