Optimization of naphtha purchase price using a price prediction model. - Hweeung Kwon; Byeonggil Lyu; Kyungjae Tak; Jinsuk Lee; Jae Hyun Cho; Il Moon (Comput. Chem. Eng., 2016)

Safety Analysis Embedded in Heat Exchanger Network Synthesis. - Andreja Nemet; Jirí Jaromír Klemes; Il Moon; Zdravko Kravanja (Comput. Chem. Eng., 2017)

A multistream heat exchanger model with enthalpy feasibility. - Kyungjae Tak; Hweeung Kwon; Jaedeuk Park; Jae Hyun Cho; Il Moon (Comput. Chem. Eng., 2018)

Finding the best operating condition in a novel process for explosive waste incineration using fluidized bed reactors. - Sunghyun Cho; Chanho Park; Jiheon Lee; Byeongil Lyu; Il Moon (Comput. Chem. Eng., 2020)

Spurious activation and operational integrity evaluation of redundant safety instrumented systems. - Meng Qi; Yufeng Kan; Xun Li; Xiaoying Wang; Dongfeng Zhao; Il Moon (Reliab. Eng. Syst. Saf., 2020)

Techno-economic assessment of carbonate melt flue gas desulfurization process. - Juwon Lee; Hyungtae Cho; Il Moon; Igor Lubomirsky; Valery Kaplan; Junghwan Kim; Yuchan Ahn (Comput. Chem. Eng., 2021)

Time-series clustering approach for training data selection of a data-driven predictive model: Application to an industrial bio 2, 3-butanediol distillation process. - Yeongryeol Choi; Nahyeon An; Seokyoung Hong; Hyungtae Cho; Jongkoo Lim; In-Su Han; Il Moon; Junghwan Kim (Comput. Chem. Eng., 2022)

Development of novel flow distribution apparatus for simulated moving bed to improve degree of mixing. - Youngjin Kim; Taejong Kim; Chanho Park; Jaewon Lee; Hyungtae Cho; Myungjun Kim; Il Moon (Comput. Chem. Eng., 2022)

Adversarial Autoencoder Based Feature Learning for Fault Detection in Industrial Processes. - Kyojin Jang; Seokyoung Hong; Minsu Kim; Jonggeol Na; Il Moon (IEEE Trans. Ind. Informatics, 2022)

Multi-objective optimization of explosive waste treatment process considering environment via Bayesian active learning. - Sunghyun Cho; Minsu Kim; Jaewon Lee; Areum Han; Jonggeol Na; Il Moon (Eng. Appl. Artif. Intell., 2023)

Multi-objective robust optimization of profit for a naphtha cracking furnace considering uncertainties in the feed composition. - Jeongdong Kim; Chonghyo Joo; Minsu Kim; Nahyeon An; Hyungtae Cho; Il Moon; Junghwan Kim (Expert Syst. Appl., 2023)

A Dynamic Soft Sensor Based on Hybrid Neural Networks to Improve Early Off-spec Detection. - Seokyoung Hong; Nahyeon An; Hyungtae Cho; Jongkoo Lim; In-Su Han; Il Moon; Junghwan Kim (Eng. Comput., 2023)

Correction to: A dynamic soft sensor based on hybrid neural networks to improve early off-spec detection. - Seokyoung Hong; Nahyeon An; Hyungtae Cho; Jongkoo Lim; In-Su Han; Il Moon; Junghwan Kim (Eng. Comput., 2023)

Dual attention-based multi-step ahead prediction enhancement for monitoring systems in industrial processes. - Nahyeon An; Seokyoung Hong; Yurim Kim; Hyungtae Cho; Jongkoo Lim; Il Moon; Junghwan Kim (Appl. Soft Comput., 2023)

Novel inverse predictive system integrated with industrial lubricant information. - Minseong Kim; Chonghyo Joo; Jongkoo Lim; Seungho Yeom; Il Moon; Meng Qi; Junghwan Kim (Eng. Appl. Artif. Intell., 2025)

Explainable Artificial Intelligence for Fault Diagnosis of Industrial Processes. - Kyojin Jang; Karl Ezra Salgado Pilario; Nayoung Lee; Il Moon; Jonggeol Na (IEEE Trans. Ind. Informatics, 2025)