Publications

International Journal

1. Choi, S., Jeong, E., Lee, U. (2026) A path-aware Bayesian optimization (PABO) framework  for cost-efficient sampling site exploration. Knowledge-Based Systems, 351, 116894.  https://doi.org/10.1016/j.knosys.2026.116894 

2. Jang, H., Seo, H., Song, Y.,  Lee, U. (2026) Clustering-enhanced Bayesian optimization (CEBO): A case study on T-pedal wheel design of a stair-climbing robot. Advanced Engineering Informatics, 76, 105096. https://doi.org/10.1016/j.aei.2026.105096 

3. Seo, H., Kim, S., Shin, B., Lee, U. (2026) Comparative optimization of electric robo-taxi (eRT) and electric unmanned aerial vehicle (eUAV) systems. Scientific Reports, 16, 12617. https://doi.org/10.1038/s41598-026-42843-y

4. Jung, Y.†, Lee, U.†, Lee, I. (2025) An integrated framework for reliability analysis and design optimization using input, simulation, and experimental data: Confidence-based design optimization under aleatory and epistemic uncertainty. Reliability Engineering & System Safety, 111895. † Equally contributed. https://doi.org/10.1016/j.ress.2025.111895 

5. Lee, U. (2025) Reliability-based design optimization (RBDO) framework for high-energy laser weapons (HELWs) using artificial neural network ensemble. Expert Systems with Applications, 287, 128202. https://doi.org/10.1016/j.eswa.2025.128202 

6. Lee, M., Jung, Y., Hwang, C., Kim, M., Kim, M., Lee, U., Lee, I. (2024)  An efficient multi-fidelity design optimization framework for a thermoelectric generator system. Energy Conversion and Management, 315, 118788. https://doi.org/10.1016/j.enconman.2024.118788 

7. Lee, U. (2024) A new adaptive Kriging-based optimization (AKBO) framework for constrained optimization problems: A case study on shared autonomous electric vehicle system design. Expert Systems with Applications, 252, 124147. https://doi.org/10.1016/j.eswa.2024.124147

8. Lee, U., Kang, N., Lee, Y. (2023) Shared autonomous electric vehicle system design and optimization under dynamic battery degradation considering varying load conditions. Journal of Cleaner Production, 423, 138795. https://doi.org/10.1016/j.jclepro.2023.138795 

9. Lee, U., Kang, N., Lee, Y. (2023) Optimization of module structure considering mechanical and thermal safety of pouch cell lithium-ion batteries using a reliability-based design optimization approach. Journal of Energy Storage, 72, 108650. https://doi.org/10.1016/j.est.2023.108650

10. Lee, U., Kang, N. (2023) Adaptive neural network ensemble using prediction frequency. Journal of Computational Design and Engineering, 10(4), 1547–1560. https://doi.org/10.1093/jcde/qwad071

11. Lee, I., Lee, U., Ramu, P., Yadav, D., Bayrak, G., Acar, E. (2022) Small failure probability: principles, progress and perspectives. Structural and Multidisciplinary Optimization, 65(11), 326. https://doi.org/10.1007/s00158-022-03431-6

12. Lee, Y. †, Lee, U. †, Kang, N. (2022) Multi-scale design optimization of electric vehicles by analytical target cascading: From battery cell level to marketing level. Journal of Cleaner Production, 368, 133235. † Equally contributed. https://doi.org/10.1016/j.jclepro.2022.133235 

13. Lee, U., Jeon, S., Lee, I. (2022) Design for shared autonomous vehicle (SAV) system employing electrified vehicles: Comparison of battery electric vehicles (BEVs) and fuel cell electric vehicles (FCEVs). Cleaner Engineering and Technology, 8, 100505. https://doi.org/10.1016/j.clet.2022.100505

14. Lee, U., Lee, I. (2022) Sampling-based Weighted Reliability-based Design Optimization. Structural and Multidisciplinary Optimization, 65(1), 20. https://doi.org/10.1007/s00158-021-03133-5

15. Lee, U., Lee, I. (2022) Efficient Sampling-Based Inverse Reliability Analysis Combining Monte Carlo Simulation (MCS) and Feedforward Neural Network (FNN). Structural and Multidisciplinary Optimization, 65, 8. https://doi.org/10.1007/s00158-021-03144-2

16. Kim, S. †, Lee, U. †, Lee, I., Kang, N. (2021) Idle Vehicle Relocation Strategy through Deep Learning for Shared Autonomous Electric Vehicle System Optimization. Journal of Cleaner Production, 333, 130055. † Equally contributed. https://doi.org/10.1016/j.jclepro.2021.130055 

17. Lee, U., Kang, N., Lee, I. (2020) Choice data generation using usage scenarios and discounted cash flow analysis. Journal of Choice Modelling, 37, 100250. https://doi.org/10.1016/j.jocm.2020.100250

18. Lee, U., Park, S., Lee, I. (2020) Robust design optimization (RDO) of thermoelectric generator system using non-dominated sorting genetic algorithm II (NSGA-II). Energy, 196, 117090. https://doi.org/10.1016/j.energy.2020.117090

19. Lee, U., Kang, N., Lee, I. (2020) Shared autonomous electric vehicle design and operations under uncertainties: a reliability-based design optimization approach. Structural and Multidisciplinary Optimization, 61, 1529–1545. https://doi.org/10.1007/s00158-019-02434-0 

20.  Lee, U., Kang, N., Lee, I. (2019) Selection of optimal target reliability in RBDO through reliability-based design for market systems (RBDMS) and application to electric vehicle design. Structural and Multidisciplinary Optimization, 60, 949–963. https://doi.org/10.1007/s00158-019-02245-3