[J24] Ikonen, T. J., B. Kim, C. T. Maravelias, I. Harjunkoski, “Supervised Learning of the Optimal Objective Function Value in Chemical Production Scheduling,” Industrial & Engineering Chemistry Research, 64, 8, 4425-4438, 2025. doi.org/10.1021/acs.iecr.4c03045 

[J23] Bibik, J. D., A. Sahu, B. Kim, F. Unda, T. B. Andersen, S. D. Mansfield, C. T. Maravelias, T. D. Sharkey, and B. R. Hamberger*, “Engineered poplar for bioproduction of the triterpene squalene,” Plant Biotechnology Journal, 22(8), 2301-2311, 2024. https://doi.org/10.1111/pbi.14345 

[J22] Kim, B., J. G. Lee, J. Park, H. Lee*, and K. H. Ryu*, “Sustainability assessment of the oxy-combustion coal-fired power plant using low-grade fuel”, Journal of Environmental Chemical Engineering, 11 (5), 110774, 2023. https://doi.org/10.1016/j.jece.2023.110774 

[J21] Kim, B., S Misra, and C. T. Maravelias*, “Lignocellulosic fuel and chemical co-production”, Joule, 7(11), 2403-2407, 2023. https://doi.org/10.1016/j.joule.2023.10.002 Selected as the front cover article. 

[J20] Byun, H. E., B. Kim, and J. H. Lee*, “Multi-step lookahead Bayesian optimization with active learning using reinforcement learning and its application to data-driven batch-to-batch optimization,” Automatica, 157, 111260, 2023. https://doi.org/10.1016/j.automatica.2023.111260 

[J19] Kim, B., and C. T. Maravelias*, “Supervised Machine Learning for Understanding and Improving the Computational Performance of Chemical Production Scheduling MIP Models,” Industrial & Engineering Chemistry Research, 61(46), pp. 17124-17136, 2022. https://doi.org/10.1021/acs.iecr.2c02734  Selected as the front cover article.

[J18] Byun, H. E., B. Kim, and J. H. Lee*, “Multi-step lookahead Bayesian optimization with active learning using reinforcement learning and its application to data-driven batch-to-batch optimization,” Computers & Chemical Engineering, 167, 107987, 2022. https://doi.org/10.1016/j.compchemeng.2022.107987 

[J17] Ryu, K. H.†, B. Kim†, and S. Heo*, “Sustainability analysis framework based on global market dynamics: A carbon capture and utilization industry case,” Renewable & Sustainable Energy Reviews, 166, 112639, 2022. https://doi.org/10.1016/j.rser.2022.112639 

[J16] Hurtado, L.†, A. Mohan†, U. Ulmer, R. Natividad, A. A. Tountas, W. Sun, L. Wang, B. Kim, M. M. Sain, G. A. Ozin*, “Solar CO2 hydrogenation by photocatalytic foams,” Chemical Engineering Journal, 435, 134864, 2022. https://doi.org/10.1016/j.cej.2022.134864 

[J15] Kim, B., K. H. Ryu, J. H. Kim, and S. Heo*, “Feature variance regularization method for autoencoder-based one-class classification,” Computers & Chemical Engineering, 161, 107776, 2022. https://doi.org/10.1016/j.compchemeng.2022.107776 

[J14] Kim, B., K. H. Ryu, and S. Heo*, “Mean squared error criterion for model-based design of experiments with subset selection,” Computers & Chemical Engineering, 159, 107667, 2022. https://doi.org/10.1016/j.compchemeng.2022.107667 

[J13] Yoo, H. E., B. Kim, J. W. Kim, and J. H. Lee*, “Reinforcement learning based optimal control of batch processes using Monte-Carlo deep deterministic policy gradient with phase segmentation,” Computers & Chemical Engineering, 144, 107133, 2021. https://doi.org/10.1016/j.compchemeng.2020.107133 

[J12] Jung, H., D. Im, S. Heo, B. Kim, and J. H. Lee*, “Dynamic analysis and linear model predictive control for operational flexibility of post-combustion CO2 capture processes,” Computers & Chemical Engineering, 140, 106968, 2020. https://doi.org/10.1016/j.compchemeng.2020.106968 

[J11] Byun, H. E., B. Kim, J. Lim, and J. H. Lee*, “Multi-objective optimization of operation of lignocellulosic acetone-butanol-ethanol fermentation with ex situ butanol recovery (ESBR),” Computers & Chemical Engineering, 140, 106915, 2020. https://doi.org/10.1016/j.compchemeng.2020.106915 

[J10] Lim, J.†, H. E. Byun†, B. Kim, and J. H. Lee*, “Dynamic Modeling of Acetone–Butanol–Ethanol Fermentation with ex Situ Butanol Recovery using Glucose/Xylose Mixtures,” Industrial & Engineering Chemistry Research, 59(6), pp. 2581-2592, 2019. https://doi.org/10.1021/acs.iecr.9b03016 

[J9] Ryu, K. H., B. Kim, S. Heo, and J. H. Lee*, “Mathematical Modeling of Microalgal Internal Metabolic Behaviors under Heterotrophic Conditions and Its Application,” Industrial & Engineering Chemistry Research, 59(4), pp. 1631-1645, 2019. https://doi.org/10.1021/acs.iecr.9b05948 

[J8] Lim, J., H. E. Byun, B. Kim, H. Park, and J. H. Lee*, “Mathematical Modeling of Acetone–Butanol–Ethanol Fermentation with Simultaneous Utilization of Glucose and Xylose by Recombinant Clostridium acetobutylicum,” Energy & Fuels, 33(9), pp.8620-8631, 2019. https://doi.org/10.1021/acs.energyfuels.9b01007 

[J7] Kim, B. and J. H. Lee*, “Parameter subset selection and biased estimation for a class of ill-conditioned estimation problems,” Journal of Process Control, 81, pp. 65-75, 2019. https://doi.org/10.1016/j.jprocont.2019.05.015 

[J6] Kim, B., J. K. Huusom and J. H. Lee*, “Robust Batch-to-Batch Optimization with Scenario Adaptation,” Industrial & Engineering Chemistry Research, 58(30), pp.13664-13674, 2019. https://doi.org/10.1021/acs.iecr.8b06233 

[J5] Caroço, R. F.†, B. Kim†, P. A. Santacoloma, J. Abildskov, J. H. Lee and J. K. Huusom*, “Analysis and model‐based optimization of a pectin extraction process,” Journal of Food Engineering, 244, pp. 159-169, 2019. https://doi.org/10.1016/j.jfoodeng.2018.09.016 

[J4] Ryu, K. H., B. Kim, and J. H. Lee*, “A model-based optimization of microalgal cultivation strategies for lipid production under photoautotrophic condition,” Computers & Chemical Engineering, 121, pp. 57-66, 2019. https://doi.org/10.1016/j.compchemeng.2018.10.004 

[J3] Ryu, K. H., M. G. Sung, B. Kim, S. Heo, Y. K. Chang and J. H. Lee*, “A mathematical model of intracellular behavior of microalgae for predicting growth and intracellular components syntheses under nutrient‐replete and ‐deplete conditions,” Biotechnology and Bioengineering, 115(10), pp. 2441-2455, 2018. https://doi.org/10.1002/bit.26744  Selected as the front cover article.

[J2] Kim, B., H. Jang, M. H. Eom and J. H. Lee*, “Model-Based Optimization of Cyclic Operation of Acetone-Butanol-Ethanol (ABE) Fermentation Process with ex Situ Butanol Recovery (ESBR) for Continuous Biobutanol Production,” Industrial & Engineering Chemistry Research, 56(8), pp. 2071-2082, 2017. https://doi.org/10.1021/acs.iecr.6b02670 

[J1]  Eom, M. H.†, B. Kim†, H. Jang, S. H. Lee, W. Kim, Y. A. Shin and J. H. Lee*, “Dynamic Modeling of a Fermentation Process with Ex situ Butanol Recovery (ESBR) for Continuous Biobutanol Production,” Energy & Fuels, 29(11), pp. 7254-7265, 2015. https://doi.org/10.1021/acs.energyfuels.5b01031 

[C10] Kim, B., and C. T. Maravelias*, “Data-based Approach to Predict Feasibility and Computational Requirement for Chemical Production Scheduling,” Proc. of IFAC DYCOPS-CAB Symposium, 55(7), pp. 827-832, Jun 2022.

[C9] Kim, B., K. H. Ryu, and S. Heo*, “A neural network regularization method to address variance inflation in autoencoders,” Proc. of IFAC DYCOPS-CAB Symposium, 55(7), pp. 744-749, Jun 2022.

[C8] Byun, H. E., B. Kim, and J. H. Lee*, “Robust Dual Control of Batch Processes with Parametric Uncertainty using Proximal Policy Optimization,” Proc. of IEEE Conference on Decision and Control (CDC), pp. 3016-3021, Dec 2020.

[C7] Yoo, H. E., B. Kim, and J. H. Lee*, “A Phase Segmentation Approach for Applying Reinforcement Learning to Batch Polymerization Process Control,” Proc. of 21st IFAC World Congress, 53(2), pp. 11446-11449, Jul 2020.

[C6] Byun, H. E., B. Kim, and J. H. Lee*, “Robust Adaptive Control with Active Learning for Fed-Batch Process based on Approximate Dynamic Programming,” Proc. of 21st IFAC World Congress, 53(2), pp. 5201-5206, Jul 2020.

[C5] Kim, B. and J. H. Lee*, “Improved Parameter Estimation of Ill-Conditioned Problems,” Proc. of IEEE Conference on Decision and Control (CDC), pp. 3044-3049, Dec 2018.

[C4] Kim, B., H. Jang and J. H. Lee*, “Open Loop Optimal Operation and Sensitivity Analysis of a Continuous Biobutanol Fermentation Process with Ex-Situ Adsorption Recovery,” Proc. of IFAC DYCOPS-CAB Symposium, 49(7), pp.925-930, Jun 2016.

[C3] Kim, B., M.-H. Eom, H. Jang and J. H. Lee*, “Optimization of the Cyclic Operation of a Continuous Biobutanol Fermentation Process Integrated with Ex-Situ Adsorption Recovery,” Proc. of IFAC ADCHEM Symposium, 48(8), pp.1204-1209, Jun 2015.

[C2] Kim, B., H. Jang, M.-H. Eom and J. H. Lee*, “Optimal Design and Operation of an Extractive Fermentation Process for Continuous Biobutanol Production,” Proc. of ICCAS, pp.1305-1310, Oct 2014.

[C1] Jeon, M., B. Kim, M. Sung and J. H. Lee*, “On integrating the Droop model with the flux balance model for predicting metabolic shifts in microalgae growth.” Proc. of ICCAS, pp.1534-1539, Oct 2014.