| Machine learning-based inverse design methods considering data characteristics and design space size in materials design and manufacturing: a review J Lee, D Park, M Lee, H Lee, K Park, I Lee, S Ryu Materials Horizons, 2023 | 35 | 2023 |
| Deep generative tread pattern design framework for efficient conceptual design M Lee, Y Park, H Jo, K Kim, S Lee, I Lee Journal of Mechanical Design 144 (7), 071703, 2022 | 18 | 2022 |
| A new sampling approach for system reliability-based design optimization under multiple simulation models S Yang, M Lee, I Lee Reliability Engineering & System Safety 231, 109024, 2023 | 17 | 2023 |
| A reanalysis-based multi-fidelity (RBMF) surrogate framework for efficient structural optimization M Lee, Y Jung, J Choi, I Lee Computers & Structures 273, 106895, 2022 | 13 | 2022 |
| Probabilistic analytical target cascading using kernel density estimation for accurate uncertainty propagation Y Jung, J Lee, M Lee, N Kang, I Lee Structural and Multidisciplinary Optimization 61, 2077-2095, 2020 | 13 | 2020 |
| Optimization-based model calibration of marginal and joint output distributions utilizing analytical gradients H Jo, K Lee, M Lee, Y Jung, I Lee Structural and Multidisciplinary Optimization 63, 2853-2868, 2021 | 9 | 2021 |
| An expected uncertainty reduction of reliability: adaptive sampling convergence criterion for Kriging-based reliability analysis M Kim, Y Jung, M Lee, I Lee Structural and Multidisciplinary Optimization 65 (7), 206, 2022 | 8 | 2022 |
| A novel sampling method for adaptive gradient-enhanced Kriging M Lee, Y Noh, I Lee Computer Methods in Applied Mechanics and Engineering 418, 116456, 2024 | 7 | 2024 |
| A comprehensive multi-fidelity surrogate framework based on Gaussian process for datasets with heterogeneous responses J Lee, M Lee, BJ Lee, I Lee Knowledge-Based Systems, 111827, 2024 | 3 | 2024 |
| An effective active learning strategy for reliability-based design optimization under multiple simulation models S Yang, M Lee, Y Jung, H Cho, W Hu, I Lee Structural Safety 107, 102426, 2024 | 3 | 2024 |
| Enhancing Injection Molding Optimization for SFRPs Through Multi‐Fidelity Data‐Driven Approaches Incorporating Prior Information in Limited Data Environments H Lee*, M Lee*, J Jung, I Lee, S Ryu Advanced Theory and Simulations, 2400130, 2024 | 1 | 2024 |
| Optimization framework for surveillance camera layouts considering infiltration routes in general outposts (GOPs) J Jeong, M Lee, S Yang, S Baek, B Park, D Kim, I Lee Expert Systems with Applications, 125804, 2025 | | 2025 |
| An efficient multi-fidelity design optimization framework for a thermoelectric generator system M Lee, Y Jung, CH Hwang, M Kim, M Kim, U Lee, I Lee Energy Conversion and Management 315, 118788, 2024 | | 2024 |
| Dissertation/Thesis | | |
| Domestic conferences M Lee | | |
| Efficient Design Optimization of Thermal Battery Using Multi-Fidelity Surrogate Modeling M Lee, MG Jeong, J Lee, BJ Lee, I Lee Available at SSRN 4392562, 0 | | |
Ikjin LeeProfessor of Mechanical Engineering, KAISTVerified email at kaist.ac.kr