Publications

Published or Accepted 

1. Ye Kwon Huh, Minhee Kim, Kaibo Liu, and Shiyu Zhou "An Integrated Uncertainty Quantification Model for Longitudinal and Time-to-event Data", published in IEEE Transactions on Automation Science and Engineering, 2024

2. Ye Kwon Huh, Minhee Kim, Katie Olivas, Todd Allen and Kaibo Liu, "Degradation Modeling using Bayesian Hierarchical Piecewise Linear Models: A case study to predict void swelling in irradiated materials", published in Journal of Quality Technology, 2024

3. Ying Fu, Ye Kwon Huh, and Kaibo Liu "Degradation Modeling and Prognostic Analysis Under Unknown Failure Modes", to be published on IEEE Transactions on Automation Science and Engineering, 2025

4. Ye Kwon Huh, Ying Fu, Kaibo Liu, "A Bayesian spike-and-slab sensor selection approach for high-dimensional prognostics", to be published on IEEE Transactions on Automation Science and Engineering, 2025

5. Bruno P. Serrao, Ye Kwon Huh, Eliot Ciuperca, Elvan Sahin, Kaibo Liu, Juliana Pacheco Duarte "A Quantitative Analysis of ATF Surface Characteristics on Critical Heat Flux using Machine Learning", to be published on Nuclear Engineering and Design, 2025

Under review 

6. Ying Fu, Ye Kwon Huh, Kaibo Liu, "Dynamic sensor selection for remote prognostics", Under Review, IISE Transactions, 2025

7. Ye Kwon Huh, Kaibo Liu, "An uncertainty-informed neural network-based prognostic model for multi-type data", Under Review, IISE Transactions, 2025