We are working on the following topics.
Stochastic Simulation
Applied Statistics
Environmental Management
Park, C., S.-H. Kim. 2015. Penalty function with memory for discrete optimization via simulation with stochastic constraints. Operations Research 63(5): 1195-1212. [link]
Zhou, Y., S. Andradottir, S.-H. Kim, C. Park. 2022. Finding feasible systems for subjective constraints using recycled observations. INFORMS Journal on Computing 34(6): 3080-3095. (Selected as a featured article) [link]
Kim, H., C. Park, Y. Kang. 2020. Distribution-guided heuristic search for nonlinear parameter estimation with an application in semiconductor manufacturing. IISE Transactions 52(11): 1246-1261. [link]
Kim, H., C. Park, H. Kim. 2025. Multi-task optimization with Bayesian neural network surrogates for parameter estimation of a simulation model, Computational Statistics & Data Analysis, 204: 108097. [link]
Park, C., P.-K Park, P. Mane, H. Hyung, V. Gandhi, S.-H. Kim, J.-H. Kim. 2010. Stochastic cost estimation approach for full-scale reverse osmosis desalination plant. Journal of Membrane Science 364:52-64. [link]
Kim, S.-H., M.M. Aral, Y. Eun, J.J. Park, C. Park. 2017. Impact of sensor measurement errors on sensor positioning in water quality monitoring networks. Stochastic Environmental Research and Risk Assessment 31(3): 743-756. [link]