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| NO | Title, Author(s) (Publication Title, Volume Issue, Page, Issue Date) |
|---|---|
| Statistical model calibration and design optimization under aleatory and epistemic uncertainty Jung, Yongsu; Jo, Hwisang; Choo, Jeonghwan; Lee, Ikjin, RELIABILITY ENGINEERING & SYSTEM SAFETY, v.222, 2022-06 | |
| Expected system improvement (ESI): A new learning function for system reliability analysis Yang, Seonghyeok; Jo, Hwisang; Lee, Kyungeun; Lee, Ikjin, RELIABILITY ENGINEERING & SYSTEM SAFETY, v.222, 2022-06 | |
| Deep Generative Tread Pattern Design Framework for Efficient Conceptual Design Lee, Mingyu; Park, Youngseo; Jo, Hwisang; Kim, Kibum; Lee, Seungkyu; Lee, Ikjin, JOURNAL OF MECHANICAL DESIGN, v.144, no.7, 2022-07 | |
| Modeling of geometric uncertainties in topology optimization via the shift of design nodes Kim, Jonghyun; Lee, Ikjin, STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, v.65, no.7, 2022-07 | |
| An expected uncertainty reduction of reliability: adaptive sampling convergence criterion for Kriging-based reliability analysis Kim, Minjik; Jung, Yongsu; Lee, Mingyu; Lee, Ikjin, STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, v.65, no.7, 2022-07 | |
| A reanalysis-based multi-fidelity (RBMF) surrogate framework for efficient structural optimization Lee, Mingyu; Jung, Yongsu; Choi, Jaehoon; Lee, Ikjin, COMPUTERS & STRUCTURES, v.273, 2022-12 | |
| Small failure probability: principles, progress and perspectives Lee, Ikjin; Lee, Ungki; Ramu, Palaniappan; Yadav, Deepanshu; Bayrak, Gamze; Acar, Erdem, STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, v.65, no.11, 2022-11 | |
| A bayesian model calibration under insufficient data environment Choo, Jeonghwan; Jung, Yongsu; Lee, Ikjin, STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, v.65, no.3, 2022-03 | |
| A survey of machine learning techniques in structural and multidisciplinary optimization Ramu, Palaniappan; Thananjayan, Pugazhenthi; Acar, Erdem; Bayrak, Gamze; Park, Jeong Woo; Lee, Ikjin, STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, v.65, no.9, 2022-09 | |
| Efficient sampling-based inverse reliability analysis combining Monte Carlo simulation (MCS) and feedforward neural network (FNN) Lee, Ungki; Lee, Ikjin, STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, v.65, no.1, 2022-01 |
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