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2025

 

35. Yonghyun Lee, Shikyung Yoon, Sunyoung Kim, Huiwon Lee, Sang Hwan Son* (2025). “Fundamental modeling of a fluidized bed reactor for hydrogen-based iron ore reduction: Effects of residence time distribution.” (Under review)

 

34. Ji Hun Kim, Jiin Yoo, Eunseo Kim, Minji Kim, Hyoung-il Kim, Jungho Jae, Jung Rae Kim, Sang Hwan Son* (2025). “Multiscale modeling of power-to-product microbial electrosynthesis: integrating mass transport and biomass growth in porous electrodes.” (Under review)

 

33. Suyeon Lee, Yonghyun Lee, Jaejun Lee, Sang Hwan Son* (2025). “Coupled firebox-reactor modeling and optimization for economically feasible CO2 emission reduction in naphtha pyrolysis furnaces.” (Under review)

 

32. Wonhyeok Choi, Sang Hwan Son*, Jong Min Lee* (2025). “Moving Horizon Disturbance Estimator Based Offset-free Model Predictive Control.” (Under review)

 

31. Somang Shin, Suyeon Lee, Minji Kim, Huiwon Lee, Sang Hwan Son* (2025). “Unsteady-state coupled firebox-reactor modeling of a naphtha pyrolysis furnace considering CO2 emission and coke formation.”, Process Safety and Environmental Protection, 198, 107124. https://doi.org/10.1016/j.psep.2025.107124

 

30. Huiwon Lee, Shikyung Yoon, Sunyoung Kim, Yonghyun Lee, Somang Shin, Sang Hwan Son* (2025). “Fundamental modeling of a multistage fluidized bed reactor for hydrogen-based iron ore reduction.”, Chemical Engineering Journal, 511, 161755. https://doi.org/10.1016/j.cej.2025.161755

 

29. Yonghyun Lee†, Jaehun Choi†, Hyoung-il Kim, Jungho Jae, Jung Rae Kim, Sang Hwan Son* (2024). “Modeling and optimization of a trickle bed reactor with hydrogen quenching for cost effective hydrotreated biodiesel production.” Fuel, 390, 134514. († These authors contributed equally). https://doi.org/10.1016/j.fuel.2025.134514

 

28. Minji Kim, Jiin Yoo, Minsoo Kim, Ji Hun Kim, Yonghyun Lee, Huiwon Lee, Hyoung-il Kim, Jungho Jae, Jung Rae Kim, Sang Hwan Son* (2025). “Fundamental modeling of a microbial electrosynthesis system using porous electrodes for CO2-to-acetate conversion.” Bioresource Technology, 424, 132154. https://doi.org/10.1016/j.biortech.2025.132154

 

27. Paskalis Sahaya Murphin Kumar, Do-Yeon Lee, Haein Cho, Sang Hwan Son, Jungho Jae, Jung Rae Kim, Oh Seok Kwon, Zeeshan Haider, Hyoung-il Kim* (2025). “Biomass-derived carbon for solar H2O2 production: Current trends and future directions.” Materials Today Energy, 49, 101840. https://doi.org/10.1016/j.mtener.2025.101840

 

26. Vishnu Murali, Hanbyeol Kim, Han Ung Kim, Jung Rae Kim, Sang Hwan Son, Young-Kwon Park, Jeong-Myeong Ha, Jungho Jae* (2025). “Selective one-pot chemical recycling of PET waste to xylene monomers: insights into a Ru/TiO2 catalyst design and interfacial dynamics in a biphasic system.” Green Chemistry, 27, 2203-2219. https://doi.org/10.1039/D4GC04762A

 

2024

 

25. Ji Hun Kim, Yonghyun Lee, Sang Hwan Son* (2024). “Multi-objective optimization of a light olefin production process via CO2 hydrogenation considering yield and energy efficiency.” Industrial & Engineering Chemistry Research, 63, 15176-15187. https://pubs.acs.org/doi/10.1021/acs.iecr.4c01010

 

24. Eunseo Kim, Minsoo Kim, Shuwei Li, Young Eun Song, Nagesh Maile, Min Jang, Sang Hwan Son, Jungho Jae, Hyoung-il Kim, Jung Rae Kim* (2024). “Electrodeposited polyaniline on graphite felt (PANI/GF) improves start-up time and acetate productivity of microbial electrosynthesis cell.” Journal of Power Sources, 612, 234776. https://doi.org/10.1016/j.jpowsour.2024.234776

 

23. Do-Yeon Lee, Zeeshan Haider, Siva Kumar Krishnan, Thamaraiselvi Kanagaraj, Sang Hwan Son, Jungho Jae, Jung Rae Kim, Paskalis Sahaya Murphin Kumar, Hyoung-il Kim* (2024). “Oxygen-enriched carbon quantum dots from coffee waste: Extremely active organic photocatalyst for sustainable solar-to-H2O2 conversion.” Chemosphere, 361, 142330. https://doi.org/10.1016/j.chemosphere.2024.142330

 

22. Shuwei Li, Minsoo Kim, Young Eun Song, Sang Hwan Son, Hyoung-il Kim, Jungho Jae, Qun Yan, Qiang Fei, Jung Rae Kim* (2024). “Housing of electrosynthetic biofilms using a roll-up carbon veil electrode increases CO2 conversion and faradaic efficiency in microbial electrosynthesis cells.” Bioresource Technology, 393, 130157. https://doi.org/10.1016/j.biortech.2023.130157

 

2023

 

21. Abhinav Narasingam†, Sang Hwan Son†, Joseph Sang-Il Kwon* (2022). “Data-driven feedback stabilisation of nonlinear systems: Koopman-based model predictive control.” International Journal of Control, 96(3), 770-781. († These authors contributed equally). https://doi.org/10.1080/00207179.2021.2013541

 

2022

 

20. Jong Woo Kim, Tae Hoon Oh, Sang Hwan Son, Jong Min Lee* (2022). “Primal–dual differential dynamic programming: A model-based reinforcement learning for constrained dynamic optimization.” Computers & Chemical Engineering, 167, 108004. https://doi.org/10.1016/j.compchemeng.2022.108004

 

19. Sang Hwan Son, Abhinav Narasingam, Joseph Sang-Il Kwon* (2022). “Development of offset-free Koopman Lyapunov-based model predictive control and mathematical analysis for zero steady-state offset condition considering influence of Lyapunov constraints on equilibrium point.” Journal of Process Control, 118, 26-36. https://doi.org/10.1016/j.jprocont.2022.08.005

 

18. Tae Hoon Oh, Jong Woo Kim, Sang Hwan Son, Dong Hwi Jeong, Jong Min Lee* (2022). “Multi-strategy control to extend the feasibility region for robust model predictive control.” Journal of Process Control, 116, 25-33. https://doi.org/10.1016/j.jprocont.2022.05.011

 

17. Sang Hwan Son, Jong Woo Kim, Tae Hoon Oh, Dong Hwi Jeong, Jong Min Lee* (2022). “Learning of model-plant mismatch map via neural network modeling and its application to offset-free model predictive control.” Journal of Process Control, 115, 112-122. https://doi.org/10.1016/j.jprocont.2022.04.014

 

16. Kyeongseok Shin, Sang Hwan Son, Jiyoung Moon, Yeonpyeong Jo, Joseph Sang-II Kwon*, Sungwon Hwang* (2022). “Dynamic modeling and predictive control of boil-off gas generation during LNG loading.” Computers & Chemical Engineering, 160, 107698. https://doi.org/10.1016/j.compchemeng.2022.107698

 

15. Juyeong Jung, Hyun-Kyu Choi, Sang Hwan Son, Joseph Sang-Il Kwon*, Jay H Lee* (2022). “Multiscale modeling of fiber deformation: application to a batch pulp digester for model predictive control of fiber strength.” Computers & Chemical Engineering, 158, 107640. https://doi.org/10.1016/j.compchemeng.2021.107640

 

14. Sang Hwan Son, Se-Kyu Oh, Byung Jun Park, Min Jun Song, Jong Min Lee* (2022). “Idle speed control with low-complexity offset-free explicit model predictive control in presence of system delay.”, Control Engineering Practice, 119, 104990. https://doi.org/10.1016/j.conengprac.2021.104990

 

13. Sang Hwan Son, Hyun-Kyu Choi, Jiyoung Moon, Joseph Sang-Il Kwon* (2022). “Hybrid Koopman model predictive control of nonlinear systems using multiple EDMD models: An application to a batch pulp digester with feed fluctuation.” Control Engineering Practice, 118, 104956. https://doi.org/10.1016/j.conengprac.2021.104956

 

2021

 

12. Kaiyu Cao, Sang Hwan Son, Jiyoung Moon, Joseph Sang-Il Kwon* (2021). “A closed-loop integration of scheduling and control for hydraulic fracturing using offset-free model predictive control.” Applied Energy, 302, 117487. https://doi.org/10.1016/j.apenergy.2021.117487

 

11. Sang Hwan Son, Byung Jun Park, Tae Hoon Oh, Jong Woo Kim, Jong Min Lee* (2021). “Move blocked model predictive control with guaranteed stability and improved optimality using linear interpolation of base sequences.” International Journal of Control, 94(11), 3213-3225. https://doi.org/10.1080/00207179.2020.1755727

 

10. Sang Hwan Son, Hyun-Kyu Choi, Joseph Sang-Il Kwon* (2021). “Application of offset-free Koopman-based model predictive control to a batch pulp digester.” AIChE Journal, e17301. https://doi.org/10.1002/aic.17301

 

9. Tae Hoon Oh, Jong Woo Kim, Sang Hwan Son, Hosoo Kim, Kyungmoo Lee, Jong Min Lee* (2021). “Automatic Control of Simulated Moving Bed Process with Deep Q-Network”, Journal of Chromatography A, 1647, 462073. https://doi.org/10.1016/j.chroma.2021.462073

 

8. Hyun-Kyu Choi, Sang Hwan Son, Joseph Sang-Il Kwon* (2021). “Inferential model predictive control of continuous pulping under grade transition.” Industrial & Engineering Chemistry Research, 60(9), 3699–3710. https://doi.org/10.1021/acs.iecr.0c06216

 

7. Yeon-Pyeong Jo, Mohammed Saad Faizan Bangi, Sang Hwan Son, Joseph Sang-Il Kwon*, Sung-Won Hwang* (2021). “Dynamic modeling and offset-free predictive control of LNG tank.” Fuel, 285, 119074. https://doi.org/10.1016/j.fuel.2020.119074

 

~ 2020

 

6. Sang Hwan Son, Hyun-Kyu Choi, Joseph Sang-Il Kwon* (2020). “Multiscale modeling and control of pulp digester under fiber-to-fiber heterogeneity.” Computers & Chemical Engineering, 143, 107117. https://doi.org/10.1016/j.compchemeng.2020.107117

 

5. Jong Woo Kim, Tae Hoon Oh, Sang Hwan Son, Dong Hwi Jeong, Jong Min Lee* (2020). “Convergence analysis of the deep neural networks based globalized dual heuristic programming.” Automatica, 122, 109222. https://doi.org/10.1016/j.automatica.2020.109222

 

4. Sang Hwan Son, Tae Hoon Oh, Jong Woo Kim, Jong Min Lee* (2020). “Move blocked model predictive control with improved optimality using semi-explicit approach for applying time-varying blocking structure.” Journal of Process Control, 92, 50-61. https://doi.org/10.1016/j.jprocont.2020.04.002

 

3. Hyuncheol Ryu, Sang Hwan Son, Jong Min Lee* (2018). “Application of dividing wall column in silane off-gas recovery process: optimal design and control.” Journal of Chemical Engineering of Japan, 51(3), 253-263. https://doi.org/10.1252/jcej.16we386

 

2. Sang Hwan Son, Joong Jin Han, Jong Min Lee* (2017). “Modeling of the polymerization of linear monomers in the presence of multifunctional units.” Polymer, 126, 74-86. https://doi.org/10.1016/j.polymer.2017.08.011

 

1. Sang Hwan Son, Dong Hwi Jeong, Hyun Woog Ryu, Joong Jin Han, Jong Min Lee* (2016). “Fundamental modeling and experimental investigation of a polymer washing batch process.” Journal of Chemical Engineering of Japan, 49(8), 785-792. https://doi.org/10.1252/jcej.15we297