Publications

JuYeong Lee, JiIn Kwak, YongKyung Oh, Sungil Kim (2022). Quantifying Incident Impacts and Identifying Influential Factors on Urban Traffic Networks. Transportmetrica B: Transport Dynamics.

YongKyung Oh, Chiehyeon Lim, Junghye Lee, Sewon Kim, Sungil Kim (2022). Multichannel Convolution Neural Network for Gas Mixture Classification. Annals of Operations Research.

YongKyung Oh, Namu Kim, Sungil Kim (2021). Transfer-Learning based approach for mixture gas classification. Journal of the Korean Institute of Industrial Engineers.

YongKyung Oh, Hanjoo Kim, Deokjung Lee, Sungil Kim (2021). Simulation-based Anomaly Detection in Nuclear Reactors. Journal of the Korean Institute of Industrial Engineers.

YongKyung Oh, Sungil Kim (2021). Multi-channel Convolution Neural Network for Gas Mixture Classification. 2021 International Conference on Data Mining Workshops (ICDMW).

Sungil Kim (2021). Maximum feasibility estimation. Information Sciences.

Sungil Kim, Rong Duan, Guang-Qin Ma, Heeyoung Kim (2020). Multiresolution spatial generalized linear mixed model for integrating multi-fidelity spatial count data without common identifiers between data source. Spatial Statistics.

Jaemin Park, Sungil Kim (2020). Maritime anomaly detection based on VAE-CUSUM monitoring system. Journal of the Korean Institute of Industrial Engineers.

Heeyoung Kim, Rong Duan, Sungil Kim, Jaehwan Lee, Guang-Qin Ma (2019). Spatial cluster detection in mobility networks: a copula approach. Journal of the Royal Statistical Society: Series C (Applied Statistics).

Sungil Kim (2019). Revealing household characteristics using connected home products. Information Sciences.

Sungil Kim, Heeyoung Kim, Jye-Chyi Lu (2019). A practical approach to measuring the impacts of stockouts on demand. Journal of Business & Industrial Marketing.

Heeyoung Kim, Justin T Vastola, Sungil Kim, Jye-Chyi Lu, Martha A Grover (2017). Incorporation of engineering knowledge into the modeling process: a local approach. International Journal of Production Research.

Sungil Kim, Heeyoung Kim, Yongro Park (2017). Early detection of vessel delays using combined historical and real-time information. Journal of the operational research society.

Heeyoung Kim, Justin T Vastola, Sungil Kim, Jye-Chyi Lu, Martha A Grover (2017). Batch sequential minimum energy design with design-region adaptation. Journal of Quality Technology.

Heeyoung Kim, Sungil Kim, Jianxin Deng, Jye-Chyi Lu, Kan Wang, Chuck Zhang, Martha A Grover, Ben Wang (2017). An integrated holistic model of a complex process. The International Journal of Advanced Manufacturing Technology.

Sungil Kim, Heeyoung Kim, Younghwan Namkoong (2016). Ordinal classification of imbalanced data with application in emergency and disaster information services. IEEE Intelligent Systems.

Sungil Kim, Heeyoung Kim (2016). A new metric of absolute percentage error for intermittent demand forecasts. International Journal of Forecasting.

Sungil Kim, Heeyoung Kim, Jye-Chyi Lu, Michael J Casciato, Martha A Grover, Dennis W Hess, Richard W Lu, Xin Wang (2015). Layers of experiments with adaptive combined design. Naval Research Logistics (NRL).

Sungil Kim, Heeyoung Kim, Richard W Lu, Jye-Chyi Lu, Michael J Casciato, Martha A Grover (2015). Adaptive combined space-filling and D-optimal designs. International Journal of Production Research.

Michael J Casciato, Sungil Kim, JC Lu, Dennis W Hess, Martha A Grover (2012). Optimization of carbon dioxide-assisted nanoparticle deposition process with uncertain design space. Computer Aided Chemical Engineering.

Michael J Casciato, Sungil Kim, JC Lu, Dennis W Hess, Martha A Grover (2012). Optimization of a carbon dioxide-assisted nanoparticle deposition process using sequential experimental design with adaptive design space. Industrial & engineering chemistry research.

Sungil Kim (2011). Experimental design methods for nano-fabrication processes.

Seung-Kweon Hong, Sungil Kim (2005). A time prediction model of cursor movement with path constraints. Journal of Korean Institute of Industrial Engineers.