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[In preparation] (Lead author #:3, Co-author #: 1)
[26] Author: Kim, M., Lee, M., & Lee, I.
Tentative title: High-dimensional Bayesian optimization via interaction based decomposed additive Gaussian process model
[25] Author: Lee, M., Park, Y., & Lee, I.
Tentative title: A parametric study on surrogate modeling: which steps critically affect the performance of Kriging?
[24] Author: Jung, J.*, Lee, M.*, Jung, Y., Lee, U., & Lee, I.
Tentative title: A novel multi-fidelity Bayesian optimization for multiple data sources
[23] Author: Lee, M., Lee, J., Choi, JH., Jung, Y., & Lee, I.
Tentative title: Efficient hyperparameter optimization strategy of Gaussian process model for big data
[Under review or Revision] (Lead author #:3, Co-author #: 2)
[22] Author: Park, J.*, Lee, M.*, & Lee, I.
Title: Outlier-aware multi-fidelity surrogate framework for hyperparameter tuning in topology optimization:
Mitigating local-optimum trapping
Keywords: Topology optimization, Multi-fidelity surrogate
Status: Submitted
[21] Author: Lee, M.*, Lee, G.*, Ryu, S.*, & Lee, I.
Title: A physics-control latent generative framework for physically consistent and diverse design under data scarcity
Keywords: Physics-informed neural networks, Data scarce environment
Status: Submitted
[20] Author: Jung, Y.*, & Lee, M.*
Title: System confidence-based design optimization using multi-output Gaussian process accounting for epistemic uncertainty
Keywords: Data-dirven approach, uncertainty quantification
Status: Major revision
[19] Author: Jung, Y., Lee, M., & Lee, I.
Title: Data-driven time-variant reliability analysis using deep Gaussian processes
Keywords: Data-dirven approach, reliability analysis
Status: Major revision
[18] Author: Park, Y., Lee, M., & Lee, I.
Title: Linear embedding-enhanced co-Kriging incorporating distinct projection matrices across fidelity levels
Keywords: Multi-fidelity surrogate
Status: Minor revision
[Published of Accepted] (Lead author #:8, Co-author #: 9)
[17] Advanced Engineering Informatics (IF: 9.9, JCR top 2.0%)
Year: 2026
Title: A novel low-fidelity-guided design of experiments for multi-fidelity surrogate modeling
Keywords: Multi-fidelity surrogate, Low-fidelity guided design of experiments
Link: Click here!
[16] Advances in Engineering Software (IF: 5.7, JCR top 8.7%)
Year: 2026
Title: Domain-embedded deep learning frameworks for topology optimization: Enhancing structural performance under data scarce environments
Keywords: Topology optimization, Deep learning, Data scarce environment, Physics-informed neural networks
Link: Click here!
[15] Advanced Engineering Informatics (IF: 9.9, JCR top 2.0%)
Year: 2026
Author: Lee, M., Lee, J., Choi, JH., Kim, Nam H., & Lee, I.
Title: A novel adaptive quality-based multi-fidelity surrogate framework for multiple low-fidelity data sources
Keywords: Multiple low-fidelity data sources, Data quality
Link: Click here!
[14] Applied Thermal Engineering (IF: 6.9, JCR top 4.7%)
Year: 2025
Author: Lee, M.*, Jeong, MG.*, Lee, J., Lee, BJ., & Lee, I.
Title: Efficient and robust thermal battery design optimization leveraging physically similar data
Keywords: Thermal battery, Data-driven approach, Multi-fidelity dataset selection method, Physicall similar data
Link: Click here!
[13] Expert Systems with Applications (IF: 7.5, JCR top 6.1%)
Year: 2025
Author: Jeong, J., Lee, M., Yang, S., Baek, S., Park, B., Kim, D., & Lee, I.
Title: Optimization framework for surveillance camera layouts considering infiltration routes in general outposts (GOPs)
Keywords: Kriging, Bayesian optimization, Data-dirven approach
Link: Click here!
[12] Energy Conversion and Management (IF: 10.9, JCR top 1.9%)
[11] Advanced Theory & Simulations (IF: 2.9, JCR top 27.0%)
Year: 2024
Title: Enhancing injection molding optimization for SFRPs through multi‐fidelity data‐driven approaches incorporating prior information in limited data environments
Keywords: Kriging, Bayesian optimization, Data-dirven approach
Link: Click here!
[10] Knowledge-Based Systems (IF: 7.6, JCR top 12.5%)
Year: 2024
Title: A comprehensive multi-fidelity surrogate framework based on Gaussian process for datasets with heterogeneous responses
Keywords: Kriging, Bayesian optimization, Data-dirven approach
Link: Click here!
[9] Computer Methods in Applied Mechanics and Engineering (IF: 7.3, JCR top 2.6%)
Year: 2024
Title: A novel sampling method for adaptive gradient-enhanced Kriging
Keywords: Kriging, Bayesian optimization, Data-dirven approach
Link: Click here!
[8] Structural Safety (IF: 6.3, JCR top 9.6%)
Year: 2024
Author: Yang, S., Lee, M., Jung, Y., Cho, H., Hu, W., & Lee, I.
Title: An effective active learning strategy for reliability-based design optimization under multiple simulation models
Keywords: Kriging, Bayesian optimization, Data-dirven approach
Link: Click here!
[7] Materials Horizons (IF: 10.7, JCR top 11.1%)
Year: 2023
Author: Lee, J., Park, D., Lee, M., Lee, H., Park, K., Lee, I., & Ryu, S.
Title: Machine learning-based inverse deign methods considering data characteristics and design space size in materials design and manufacturing: a review
Keywords: Kriging, Bayesian optimization, Data-dirven approach
Link: Click here!
[6] Reliability Engineering & System Safety (IF: 11.0, JCR top 1.4%)
Year: 2023
Title: A new sampling approach for system reliability-based design optimization under multiple simulation models
Keywords: Kriging, Bayesian optimization, Data-dirven approach
Link: Click here!
[5] Computers & Structures (IF: 4.8, JCR top 16.7%)
Year: 2022
Title: A reanalysis-based multi-fidelity (RBMF) surrogate framework for efficient structural optimization
Keywords: Kriging, Bayesian optimization, Data-dirven approach
Link: Click here!
[4] Structural and Multidisciplinary Optimization (IF: 4.0, JCR top 16.9%)
Year: 2022
Title: An expected uncertainty reduction of reliability: adaptive sampling convergence criterion for Kriging-based reliability analysis
Keywords: Kriging, Bayesian optimization, Data-dirven approach
Link: Click here!
[3] Journal of Mechanical Design (IF: 3.0, JCR top 31.6%)
Year: 2022
Author: Lee, M., Park, Y., Jo, H., Kim, K., Lee, S., & Lee, I.
Title: Deep generative tread pattern design framework for efficient conceptual design
Keywords: Kriging, Bayesian optimization, Data-dirven approach
Link: Click here!
[2] Structural and Multidisciplinary Optimization (IF: 4.0, JCR top 16.9%)
Year: 2021
Title: Optimization-based model calibration of marginal and joint output distributions utilizing analytical gradients
Keywords: Kriging, Bayesian optimization, Data-dirven approach
Link: Click here!
[1] Structural and Multidisciplinary Optimization (IF: 4.0, JCR top 16.9%)
Year: 2020
Title: Probabilistic analytical target cascading using kernel density estimation for accurate uncertainty propagation
Keywords: Kriging, Bayesian optimization, Data-dirven approach
Link: Click here!
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