A Sequential Framework for Improving Identifiability of FE Model Updating using Static and Dynamic Data. - Sehoon Kim; Namgyu Kim; Young-Soo Park; Seung-Seop Jin (Sensors, 2019)

Accelerating Gaussian Process surrogate modeling using Compositional Kernel Learning and multi-stage sampling framework. - Seung-Seop Jin (Appl. Soft Comput., 2021)

Model updating based on mixed-integer nonlinear programming under model-form uncertainty in finite element model. - Seung-Seop Jin; Young-Soo Park; SungTae Kim; Young-Hwan Park (Eng. Comput., 2021)