HR job title
- Associate Professor
- Contact Info
Kwon, Joseph Associate Professor and holder of the Kenneth R. Hall Career Development Professorship
Positions
- Associate Professor, Chemical Engineering, College of Engineering
- Faculty Affiliate, Energy Institute, Texas A&M Engineering Experiment Station (TEES)
- Overview
- Publications
- Research
- Teaching
- Works By Students
- Background
- Contact
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Overview
Publications
selected publications
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academic article
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Bhavsar, R. P., Bhadriraju, B., Lee, G. A., Nagpal, S., Park, A., & Kwon, J.
(2024).
A multiphysics model for predicting spatiotemporal temperature profiles in microwave-heated carbon capture processes. CHEMICAL ENGINEERING JOURNAL.
495, 152977-152977.
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Bhadriraju, B., Kwon, J., & Khan, F.
(2024).
A data-driven framework integrating Lyapunov-based MPC and OASIS-based observer for control beyond training domains. Journal of Process Control.
138, 103224-103224.
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Pahari, S., Shah, P., & Kwon, J.
(2024).
Achieving robustness in hybrid models: A physics-informed regularization approach for spatiotemporal parameter estimation in PDEs. 204, 292-302.
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Kim, J., Pahari, S., Ryu, J., Zhang, M., Yang, Q., Yoo, C. G., & Kwon, J.
(2024).
Advancing biomass fractionation with real-time prediction of lignin content and MWd: A kMC-based multiscale model for optimized lignin extraction. CHEMICAL ENGINEERING JOURNAL.
479, 147226-147226.
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Sitapure, N., & Kwon, J.
(2023).
Introducing Hybrid Modeling with Time-Series-Transformers: A Comparative Study of Series and Parallel Approach in Batch Crystallization. Industrial & Engineering Chemistry Research.
62(49), 21278-21291.
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Pahari, S., Lin, Y., Liu, S., Lee, C. H., Akbulut, M., & Kwon, J.
(2023).
Stochastic optimal control of mesostructure of supramolecular assemblies using dissipative particle dynamics and dynamic programming with validation. CHEMICAL ENGINEERING JOURNAL.
475, 145087-145087.
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Lin, Y., Liu, S., Bhat, B., Kuan, K., Zhou, W., Cobos, I. J., Kwon, J., & Akbulut, M.
(2023).
pH- and temperature-responsive supramolecular assemblies with highly adjustable viscoelasticity: a multi-stimuli binary system. SOFT MATTER.
19(29), 5609-5621.
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Lee, C. H., Pahari, S., Sitapure, N., Barteau, M. A., & Kwon, J.
(2023).
Investigating High-Performance Non-Precious Transition Metal Oxide Catalysts for Nitrogen Reduction Reaction: A Multifaceted DFT-kMC-LSTM Approach. ACS Catalysis.
13(13), 8336-8346.
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Pahari, S., Kim, J., Choi, H., Zhang, M., Ji, A., Yoo, C. G., & Kwon, J.
(2023).
Multiscale kinetic modeling of biomass fractionation in an experiment: Understanding individual reaction mechanisms and cellulose degradation. CHEMICAL ENGINEERING JOURNAL.
467, 143021-143021.
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Wagh, N. K., Kim, D., Lee, C. H., Kim, S., Um, H., Kwon, J., ... Lee, J.
(2023).
Heterointerface promoted trifunctional electrocatalysts for all temperature high-performance rechargeable Zn-air batteries. Nanoscale Horizons.
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Bhat, B., Pahari, S., Kwon, J., & Akbulut, M.
(2023).
Rheological dynamics and structural characteristics of supramolecular assemblies of -cyclodextrin and sulfonic surfactants. SOFT MATTER.
19(12), 2231-2240.
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Narasingam, A., Son, S. H., & Kwon, J.
(2023).
Data-driven feedback stabilisation of nonlinear systems: Koopman-based model predictive control. International Journal of Control.
96(3), 770-781.
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Choi, Y., Bhadriaju, B., Cho, H., Lim, J., Han, I., Moon, I. l., Kwon, J., & Kim, J.
(2023).
Data-driven modeling of multimode chemical process: Validation with a real-world distillation column. CHEMICAL ENGINEERING JOURNAL.
457, 141025-141025.
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Shah, P., Choi, H., & Kwon, J.
(2023).
Achieving Optimal Paper Properties: A Layered Multiscale kMC and LSTM-ANN-Based Control Approach for Kraft Pulping. Processes.
11(3), 809-809.
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Kumari, P., Wang, Q., Khan, F., & Kwon, J.
(2022).
A Direct Transfer Entropy-Based Multiblock Bayesian Network for Root Cause Diagnosis of Process Faults. Industrial & Engineering Chemistry Research.
61(43), 16166-16178.
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Son, S. H., Narasingam, A., & Kwon, J.
(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.
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Shah, P., Sheriff, M. Z., Bangi, M., Kravaris, C., Kwon, J., Botre, C., & Hirota, J.
(2022).
Deep neural network-based hybrid modeling and experimental validation for an industry-scale fermentation process: Identification of time-varying dependencies among parameters. CHEMICAL ENGINEERING JOURNAL.
441, 135643-135643.
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Pahari, S., Liu, S., Lee, C. H., Akbulut, M., & Kwon, J.
(2022).
SAXS-guided unbiased coarse-grained Monte Carlo simulation for identification of self-assembly nanostructures and dimensions. SOFT MATTER.
18(28), 5282-5292.
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Hwang, G., Sitapure, N., Moon, J., Lee, H., Hwang, S., & Kwon, J.
(2022).
Model predictive control of Lithium-ion batteries: Development of optimal charging profile for reduced intracycle capacity fade using an enhanced single particle model (SPM) with first-principled chemical/mechanical degradation mechanisms. CHEMICAL ENGINEERING JOURNAL.
435, 134768-134768.
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Sitapure, N., Kwon, T. H., Lee, M., Kim, B., Kang, M. S., & Kwon, J.
(2022).
Modeling ligand crosslinking for interlocking quantum dots in thin-films. Journal of Materials Chemistry C.
10(18), 7132-7140.
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Kumari, P., Bhadriraju, B., Wang, Q., & Sang-Il Kwon, J.
(2022).
A modified Bayesian network to handle cyclic loops in root cause diagnosis of process faults in the chemical process industry. Journal of Process Control.
110, 84-98.
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Jung, J., Choi, H., Son, S. H., Kwon, J., & Lee, J. H.
(2022).
Multiscale modeling of fiber deformation: Application to a batch pulp digester for model predictive control of fiber strength. Computers and Chemical Engineering.
158, 107640-107640.
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Lee, C. H., Pahari, S., Sitapure, N., Barteau, M. A., & Kwon, J.
(2022).
DFT-kMC Analysis for Identifying Novel Bimetallic Electrocatalysts for Enhanced NRR Performance by Suppressing HER at Ambient Conditions Via Active-Site Separation. ACS Catalysis.
12(24), 15609-15617.
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Son, S. H., Choi, H., Moon, J., & Kwon, J.
(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, 104956-104956.
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Sen, D., Chen, H., Datta-Gupta, A., Kwon, J., & Mishra, S.
(2021).
Machine learning based rate optimization under geologic uncertainty. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING.
207, 109116-109116.
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Pahari, S., Moon, J., Akbulut, M., Hwang, S., & Kwon, J.
(2021).
Estimation of Microstructural Properties of Wormlike Micelles Via a Multi-Scale Multi-Recommendation Batch Bayesian Optimization. Industrial & Engineering Chemistry Research.
60(43), 15669-15678.
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Cao, K., Son, S. H., Moon, J., & Kwon, J.
(2021).
A closed-loop integration of scheduling and control for hydraulic fracturing using offset-free model predictive control. APPLIED ENERGY.
302, 117487-117487.
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Bangi, M., & Kwon, J.
(2021).
Deep reinforcement learning control of hydraulic fracturing. Computers and Chemical Engineering.
154, 107489-107489.
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Bhadriraju, B., Kwon, J., & Khan, F.
(2021).
OASIS-P: Operable Adaptive Sparse Identification of Systems for fault Prognosis of chemical processes. Journal of Process Control.
107, 114-126.
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Pahari, S., Bhadriraju, B., Akbulut, M., & Kwon, J.
(2021).
A slip-spring framework to study relaxation dynamics of entangled wormlike micelles with kinetic Monte Carlo algorithm. Journal of Colloid and Interface Science.
600, 550-560.
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Pahari, S., Moon, J., Akbulut, M., Hwang, S., & Kwon, J.
(2021).
Model predictive control for wormlike micelles (WLMs): Application to a system of CTAB and NaCl. 174, 30-41.
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Lee, H., Sitapure, N., Hwang, S., & Kwon, J.
(2021).
Multiscale modeling of dendrite formation in lithium-ion batteries. Computers and Chemical Engineering.
153, 107415-107415.
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Cho, S., Kang, D., Kwon, J., Kim, M., Cho, H., Moon, I. l., & Kim, J.
(2021).
A Framework for Economically Optimal Operation of Explosive Waste Incineration Process to Reduce NOx Emission Concentration. MATHEMATICS.
9(17), 2174-2174.
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Son, S. H., Choi, H., & Kwon, J.
(2021).
Application of offset-free Koopman-based model predictive control to a batch pulp digester. AIChE Journal.
67(9),
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Bhadriraju, B., Sang-Il Kwon, J., & Khan, F.
(2021).
Risk-based fault prediction of chemical processes using operable adaptive sparse identification of systems (OASIS). Computers and Chemical Engineering.
152, 107378-107378.
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Sitapure, N., Epps, R., Abolhasani, M., & Kwon, J.
(2021).
Multiscale modeling and optimal operation of millifluidic synthesis of perovskite quantum dots: Towards size-controlled continuous manufacturing. CHEMICAL ENGINEERING JOURNAL.
413, 127905-127905.
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Kumari, P., Bhadriraju, B., Wang, Q., & Kwon, J.
(2021).
Development of parametric reduced-order model for consequence estimation of rare events. 169, 142-152.
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Sitapure, N., Epps, R. W., Abolhasani, M., & Kwon, J.
(2021).
CFD-Based Computational Studies of Quantum Dot Size Control in Slug Flow Crystallizers: Handling Slug-to-Slug Variation. Industrial & Engineering Chemistry Research.
60(13), 4930-4941.
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Choi, H., Son, S. H., & Kwon, J.
(2021).
Inferential Model Predictive Control of Continuous Pulping under Grade Transition. Industrial & Engineering Chemistry Research.
60(9), 3699-3710.
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Mao, S., Siddhamshetty, P., Zhang, Z., Yu, W., Chun, T., Kwon, J., & Wu, K.
(2021).
Impact of Proppant Pumping Schedule on Well Production for Slickwater Fracturing. SPE JOURNAL.
26(1), 342-358.
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Jo, Y., Bangi, M., Son, S., Sang-Il Kwon, J., & Hwang, S.
(2021).
Dynamic modeling and offset-free predictive control of LNG tank. Fuel.
285, 119074-119074.
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Pahari, S., Bhandakkar, P., Akbulut, M., & Sang-Il Kwon, J.
(2021).
Optimal pumping schedule with high-viscosity gel for uniform distribution of proppant in unconventional reservoirs. Energy.
216, 119231-119231.
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Lee, D., Green, A., Wu, H., & Kwon, J.
(2021).
Hybrid PDE-kMC modeling approach to simulate multivalent lectin-glycan binding process. AIChE Journal.
67(12),
-
Sitapure, N., Lee, H., Ospina-Acevedo, F., Balbuena, P. B., Hwang, S., & Kwon, J.
(2021).
A computational approach to characterize formation of a passivation layer in lithium metal anodes. AIChE Journal.
67(1),
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Bhat, B., Liu, S., Lin, Y., Sentmanat, M. L., Kwon, J., & Akbulut, M.
(2021).
Supramolecular dynamic binary complexes with pH and salt-responsive properties for use in unconventional reservoirs. PLoS ONE.
16(12), e0260786-e0260786.
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Lee, D., Jayaraman, A., & Kwon, J. S.
(2020).
Development of a hybrid model for a partially known intracellular signaling pathway through correction term estimation and neural network modeling. PLoS Computational Biology.
16(12), e1008472-e1008472.
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Cao, K., Siddhamshetty, P., Ahn, Y., El-Halwagi, M. M., & Kwon, J.
(2020).
Evaluating the spatiotemporal variability of water recovery ratios of shale gas wells and their effects on shale gas development. Journal of Cleaner Production.
276, 123171-123171.
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Son, S. H., Choi, H., & Kwon, J.
(2020).
Multiscale modeling and control of pulp digester under fiber-to-fiber heterogeneity. Computers and Chemical Engineering.
143, 107117-107117.
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Choi, H., & Kwon, J.
(2020).
Multiscale modeling and predictive control of cellulose accessibility in alkaline pretreatment for enhanced glucose yield. Fuel.
280, 118546-118546.
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Bhadriraju, B., Bangi, M., Narasingam, A., & Kwon, J.
(2020).
Operable adaptive sparse identification of systems: Application to chemical processes. AIChE Journal.
66(11),
-
Ahn, Y., Kim, J., & Kwon, J.
(2020).
Optimal design of supply chain network with carbon dioxide injection for enhanced shale gas recovery. APPLIED ENERGY.
274, 115334-115334.
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Sitapure, N., Qiao, T., Son, D. H., & Kwon, J.
(2020).
Kinetic Monte Carlo modeling of the equilibrium-based size control of CsPbBr3 perovskite quantum dots in strongly confined regime. Computers and Chemical Engineering.
139, 106872-106872.
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Narasingam, A., & Sang-Il Kwon, J.
(2020).
Application of Koopman operator for model-based control of fracture propagation and proppant transport in hydraulic fracturing operation. Journal of Process Control.
91, 25-36.
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Choi, H., & Kwon, J.
(2020).
Multiscale modeling and multiobjective control of wood fiber morphology in batch pulp digester. AIChE Journal.
66(7),
-
Bhandakkar, P., Siddhamshetty, P., & Sang-Il Kwon, J.
(2020).
Numerical study of the effect of propped surface area and fracture conductivity on shale gas production: Application for multi-size proppant pumping schedule design. Journal of Natural Gas Science and Engineering.
79, 103349-103349.
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Kumari, P., Lee, D., Wang, Q., Karim, M. N., & Kwon, J.
(2020).
Root Cause Analysis of Key Process Variable Deviation for Rare Events in the Chemical Process Industry. Industrial & Engineering Chemistry Research.
59(23), 10987-10999.
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Lee, D., Jayaraman, A., & Kwon, J.
(2020).
Identification of cell-to-cell heterogeneity through systems engineering approaches. AIChE Journal.
66(5),
-
Siddhamshetty, P., Mao, S., Wu, K., & Kwon, J.
(2020).
Multi-Size Proppant Pumping Schedule of Hydraulic Fracturing: Application to a MP-PIC Model of Unconventional Reservoir for Enhanced Gas Production. Processes.
8(5), 570-570.
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Bangi, M., & Kwon, J.
(2020).
Deep hybrid modeling of chemical process: Application to hydraulic fracturing. Computers and Chemical Engineering.
134, 106696-106696.
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Yuan, S., Zhang, Z., Sun, Y., Kwon, J., & Mashuga, C. V.
(2020).
Liquid flammability ratings predicted by machine learning considering aerosolization. JOURNAL OF HAZARDOUS MATERIALS.
386, 121640-121640.
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Siddhamshetty, P., Bhandakkar, P., & Kwon, J.
(2020).
Enhancing total fracture surface area in naturally fractured unconventional reservoirs via model predictive control. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING.
184, 106525-106525.
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Bhadriraju, B., Narasingam, A., & Kwon, J.
(2019).
Machine learning-based adaptive model identification of systems: Application to a chemical process. 152, 372-383.
-
Choi, H., & Kwon, J.
(2019).
Modeling and control of cell wall thickness in batch delignification. Computers and Chemical Engineering.
128, 512-523.
-
Narasingam, A., & Kwon, J.
(2019).
Koopman Lyapunov-based model predictive control of nonlinear chemical process systems. AIChE Journal.
65(11),
-
Lee, D., Jayaraman, A., & Sang-Il Kwon, J.
(2019).
Identification of a time-varying intracellular signalling model through data clustering and parameter selection: application to NF-[inline-formula removed]B signalling pathway induced by LPS in the presence of BFA. 13(4), 169-179.
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Siddhamshetty, P., & Kwon, J.
(2019).
Simultaneous measurement uncertainty reduction and proppant bank height control of hydraulic fracturing. Computers and Chemical Engineering.
127, 272-281.
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Cao, K., Siddhamshetty, P., Ahn, Y., Mukherjee, R., & Kwon, J.
(2019).
Economic Model-Based Controller Design Framework for Hydraulic Fracturing To Optimize Shale Gas Production and Water Usage. Industrial & Engineering Chemistry Research.
58(27), 12097-12115.
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Ahn, Y., Siddhamshetty, P., Cao, K., Han, J., & Kwon, J.
(2019).
Optimal design of shale gas supply chain network considering MPC-based pumping schedule of hydraulic fracturing in unconventional reservoirs. 147, 412-429.
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Yuan, S., Ji, C., Monhollen, A., Kwon, J., & Mashuga, C.
(2019).
Experimental and thermodynamic study of aerosol explosions in a 36L apparatus. Fuel.
245, 467-477.
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Choi, H., & Kwon, J.
(2019).
Multiscale modeling and control of Kappa number and porosity in a batch-type pulp digester. AIChE Journal.
65(6),
-
Choi, H., Lee, D., Singla, A., Kwon, J., & Wu, H.
(2019).
The influence of heteromultivalency on lectin-glycan binding behavior. GLYCOBIOLOGY.
29(5), 397-408.
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Siddhamshetty, P., Ahammad, M., Hasan, R., & Kwon, J.
(2019).
Understanding wellhead ignition as a blowout response. Fuel.
243, 622-629.
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Bangi, M., Narasingam, A., Siddhamshetty, P., & Sang-Il Kwon, J.
(2019).
Enlarging the Domain of Attraction of the Local Dynamic Mode Decomposition with Control Technique: Application to Hydraulic Fracturing. Industrial & Engineering Chemistry Research.
58(14), 5588-5601.
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Siddhamshetty, P., Wu, K., & Kwon, J.
(2019).
Modeling and Control of Proppant Distribution of Multistage Hydraulic Fracturing in Horizontal Shale Wells. Industrial & Engineering Chemistry Research.
58(8), 3159-3169.
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Yuan, S., Jiao, Z., Quddus, N., Kwon, J., & Mashuga, C. V.
(2019).
Developing Quantitative Structure-Property Relationship Models To Predict the Upper Flammability Limit Using Machine Learning. Industrial & Engineering Chemistry Research.
58(8), 3531-3537.
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Bao, A., Gildin, E., Narasingam, A., & Kwon, J. S.
(2019).
Data-Driven Model Reduction for Coupled Flow and Geomechanics Based on DMD Methods. Fluids.
4(3), 138-138.
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Lee, D., Singla, A., Wu, H., & Kwon, J.
(2018).
An Integrated Numerical and Experimental Framework for Modeling of CTB and GD1b Ganglioside Binding Kinetics. AIChE Journal.
64(11), 3882-3893.
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Narasingam, A., & Sang-Il Kwon, J.
(2018).
Data-driven identification of interpretable reduced-order models using sparse regression. Computers and Chemical Engineering.
119, 101-111.
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Etoughe, P., Siddhamshetty, P., Cao, K., Mukherjee, R., & Sang-Ii Kwon, J.
(2018).
Incorporation of sustainability in process control of hydraulic fracturing in unconventional reservoirs. 139, 62-76.
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Lee, D., Mohr, A., Kwon, J., & Wu, H.
(2018).
Kinetic Monte Carlo modeling of multivalent binding of CTB proteins with GM1 receptors. Computers and Chemical Engineering.
118, 283-295.
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Sidhu, H. S., Siddhamshetty, P., & Kwon, J. S.
(2018).
Approximate Dynamic Programming Based Control of Proppant Concentration in Hydraulic Fracturing. MATHEMATICS.
6(8), 132-132.
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Siddharnshetty, P., Wu, K., & Sang-Il Kwon, J.
(2018).
Optimization of simultaneously propagating multiple fractures in hydraulic fracturing to achieve uniform growth using data-based model reduction. 136, 675-686.
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Siddhamshetty, P., Yang, S., & Kwon, J.
(2018).
Modeling of hydraulic fracturing and designing of online pumping schedules to achieve uniform proppant concentration in conventional oil reservoirs. Computers and Chemical Engineering.
114, 306-317.
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Siddhamshetty, P., Kwon, J., Liu, S., & Valko, P. P.
(2018).
Feedback Control of Proppant Bank Heights During Hydraulic Fracturing for Enhanced Productivity in Shale Formations. 64(5), 1638-1650.
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Worstell, N. C., Singla, A., Saenkham, P., Galbadage, T., Sule, P., Lee, D., ... Wu, H.
(2018).
Hetero-Multivalency of Pseudomonas aeruginosa Lectin LecA Binding to Model Membranes. Scientific Reports.
8(1), 8419.
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Marcellos, C., Durand, H., Kwon, J. S., Barreto, A. G., da Cunha Lage, P. L., de Souza, M. B., Secchi, A. R., & Christofides, P. D.
(2018).
Optimal operation of batch enantiomer crystallization: From ternary diagrams to predictive control. AIChE Journal.
64(5), 1618-1637.
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Sidhu, H. S., Narasingam, A., Siddhamshetty, P., & Kwon, J.
(2018).
Model order reduction of nonlinear parabolic PDE systems with moving boundaries using sparse proper orthogonal decomposition: Application to hydraulic fracturing. Computers and Chemical Engineering.
112, 92-100.
-
Siddhamshetty, P., & Kwon, J.
(2018).
Model-based feedback control of oil production in oil-rim reservoirs under gas coning conditions. Computers and Chemical Engineering.
112, 112-120.
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Lee, D., Ding, Y., Jayaraman, A., & Kwon, J. S.
(2018).
Mathematical Modeling and Parameter Estimation of Intracellular Signaling Pathway: Application to LPS-induced NF kappa B Activation and TNF alpha Production in Macrophages. Processes.
6(3), 21-21.
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Narasingam, A., Siddhamshetty, P., & Kwon, J. S.
(2017).
Temporal clustering for order reduction of nonlinear parabolic PDE systems with timedependent spatial domains: Application to a hydraulic fracturing process. AIChE Journal.
63(9), 3818-3831.
-
Crose, M., Sang-Il Kwon, J., Tran, A., & Christofides, P. D.
(2017).
Multiscale modeling and run-to-run control of PECVD of thin film solar cells. Renewable Energy.
100, 129-140.
-
Kwon, J., Nayhouse, M., & Christofides, P. D.
(2015).
Multiscale, Multidomain Modeling and Parallel Computation: Application to Crystal Shape Evolution in Crystallization. Industrial & Engineering Chemistry Research.
54(47), 11903-11914.
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Crose, .., Kwon, J., Nayhouse, M., Ni, D., & Christofides, P. D.
(2015).
Multiscale modeling and operation of PECVD of thin film solar cells. Chemical Engineering Science (CES).
136, 50-61.
-
Nayhouse, M., Tran, A., Kwon, J., Crose, .., Orkoulas, G., & Christofides, P. D.
(2015).
Modeling and control of ibuprofen crystal growth and size distribution. Chemical Engineering Science (CES).
134, 414-422.
-
Kwon, J., Nayhouse, M., Orkoulas, G., Ni, D., & Christofides, P. D.
(2015).
A method for handling batch-to-batch parametric drift using moving horizon estimation: Application to run-to-run MPC of batch crystallization. Chemical Engineering Science (CES).
127, 210-219.
-
Kwon, J., Nayhouse, M., & Christofides, P. D.
(2015).
Detection and Isolation of Batch-to-Batch Parametric Drift in Crystallization Using In-Batch and Post-Batch Measurements. Industrial & Engineering Chemistry Research.
54(20), 5514-5526.
-
Kwon, J., Nayhouse, M., Orkoulas, G., Ni, D., & Christofides, P. D.
(2015).
Run-to-Run-Based Model Predictive Control of Protein Crystal Shape in Batch Crystallization. Industrial & Engineering Chemistry Research.
54(16), 4293-4302.
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Kwon, J., Nayhouse, M., Orkoulas, G., & Christofides, P. D.
(2014).
Crystal shape and size control using a plug flow crystallization configuration. Chemical Engineering Science (CES).
119, 30-39.
-
Kwon, J., Nayhouse, M., Orkoulas, G., & Christofides, P. D.
(2014).
Enhancing the Crystal Production Rate and Reducing Polydispersity in Continuous Protein Crystallization. Industrial & Engineering Chemistry Research.
53(40), 15538-15548.
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Nayhouse, M., Kwon, J., Heng, V. R., Amlani, A. M., & Orkoulas, G.
(2014).
Freezing Transition Studies Through Constrained Cell Model Simulation. International Journal of Thermophysics.
35(9-10), 1661-1676.
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Kwon, J., Nayhouse, M., Christofides, P. D., & Orkoulas, G.
(2014).
Protein Crystal Shape and Size Control in Batch Crystallization: Comparing Model Predictive Control with Conventional Operating Policies. Industrial & Engineering Chemistry Research.
53(13), 5002-5014.
-
Kwon, J., Nayhouse, M., Christofides, P. D., & Orkoulas, G.
(2014).
Modeling and control of crystal shape in continuous protein crystallization. Chemical Engineering Science (CES).
107, 47-57.
-
Kwon, J., Nayhouse, M., Christofides, P. D., & Orkoulas, G.
(2013).
Modeling and control of shape distribution of protein crystal aggregates. Chemical Engineering Science (CES).
104, 484-497.
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Kwon, J. S., Nayhouse, M., Christofides, P. D., & Orkoulas, G.
(2013).
Modeling and control of protein crystal shape and size in batch crystallization. AIChE Journal.
59(7), 2317-2327.
-
Nayhouse, M., Kwon, J., Christofides, P. D., & Orkoulas, G.
(2013).
Crystal shape modeling and control in protein crystal growth. Chemical Engineering Science (CES).
87, 216-223.
-
Nayhouse, M., Kwon, J., & Orkoulas, G.
(2012).
Communication: phase transitions, criticality, and three-phase coexistence in constrained cell models. Journal of Chemical Physics.
136(20), 201101-201101.
-
Choi, Y., Bhadriraju, B., Kwon, H., Lim, J., Kwon, J., & Kim, J.
Machine Learning-Based Adaptive Regression to Identify Nonlinear Dynamics of Biochemical Systems: A Case Study on Bio 2,3-Butanediol Distillation Process. ACS Sustainable Chemistry & Engineering.
12(29), 10869-10879.
-
Kim, J., Shah, P., Bhavsar, R., Lim, D., Seo, S., Hyung, J., Park, S., & Kwon, J.
Multiscale modeling and experimental study of molecular weight distribution and monomeric ratio in PHA production. CHEMICAL ENGINEERING JOURNAL.
499, 156001-156001.
-
Nagpal, S., Lee, C. H., Sitapure, N., Kim, Y., Gagnon, Z., & Kwon, J.
Multiscale modeling of catalyst deactivation in dry methane reforming. CHEMICAL ENGINEERING JOURNAL.
499, 155846-155846.
-
Bhadriraju, B., Lee, J., Pahari, S., Yu, C., Khan, F., & Kwon, J.
Optimal charging of Li-ion batteries using sparse identification of nonlinear dynamics. CHEMICAL ENGINEERING JOURNAL.
499, 155015-155015.
-
Yang, Y., Seo, K., Kwon, J., & Won, W.
Process Integration for the Production of Bioplastic Monomer: Techno-Economic Analysis and Life-Cycle Assessment. ACS Sustainable Chemistry & Engineering.
12(30), 11167-11180.
-
Pahari, S., Shah, P., & Kwon, J.
Unveiling Latent Chemical Mechanisms: Hybrid Modeling for Estimating Spatiotemporally Varying Parameters in Moving Boundary Problems. Industrial & Engineering Chemistry Research.
-
Bhavsar, R. P., Bhadriraju, B., Lee, G. A., Nagpal, S., Park, A., & Kwon, J.
(2024).
A multiphysics model for predicting spatiotemporal temperature profiles in microwave-heated carbon capture processes. CHEMICAL ENGINEERING JOURNAL.
495, 152977-152977.
-
chapter
-
Siddhamshetty, P., Narasingam, A., Liu, S., Valk, P. P., & Kwon, J.
(2018).
Feedback control of proppant bank heights during hydraulic fracturing for enhanced productivity in shale formations. Computer Aided Chemical Engineering.
13th International Symposium on Process Systems Engineering (PSE 2018).
(pp. 703-708).
Elsevier.
-
Marcellos, C., Durand, H., Kwon, J., Barreto, A. G., da Cunha Lage, P. L., de Souza, M. B., Secchi, A. R., & Christofides, P. D.
(2018).
Optimal Enantiomer Crystallization Operation using Ternary Diagram Information. Computer Aided Chemical Engineering.
13th International Symposium on Process Systems Engineering (PSE 2018).
(pp. 499-504).
Elsevier.
-
Narasingam, A., Siddhamshetty, P., & Kwon, J.
(2018).
POD-based EnKF estimation of heterogeneous reservoir parameters for feedback control of hydraulic fracturing. Computer Aided Chemical Engineering.
13th International Symposium on Process Systems Engineering (PSE 2018).
(pp. 733-738).
Elsevier.
-
Lee, D., Mohr, A., Kwon, J., Wu, H., & Singla, A.
(2018).
Stochastic Modelling of CTB-receptor Binding Kinetics. Computer Aided Chemical Engineering.
13th International Symposium on Process Systems Engineering (PSE 2018).
(pp. 2143-2148).
Elsevier.
-
Siddhamshetty, P., Narasingam, A., Liu, S., Valk, P. P., & Kwon, J.
(2018).
Feedback control of proppant bank heights during hydraulic fracturing for enhanced productivity in shale formations. Computer Aided Chemical Engineering.
13th International Symposium on Process Systems Engineering (PSE 2018).
(pp. 703-708).
Elsevier.
-
conference paper
-
Lee, D., Jayaraman, A., & Kwon, J.
(2021).
A Hybrid Mechanistic Data-driven Approach for Modeling Uncertain Intracellular Signaling Pathways. Proceedings of the ... American Control Conference. American Control Conference.
1903-1908.
-
Bhadriraju, B., Kwon, J., & Khan, F.
(2021).
Dynamic risk-based fault prediction of chemical processes using online sparse model identification. Proceedings of the ... American Control Conference. American Control Conference.
4964-4969.
-
Choi, H., Son, S., & Sang-Il Kwon, J.
(2021).
Inferential model predictive control of blow-line fiber morphology in a continuous pulp digester via multiscale modeling. Proceedings of the ... American Control Conference. American Control Conference.
5043-5048.
-
Son, S. H., Narasingam, A., & Kwon, J.
(2021).
Integration of offset-free control framework with Koopman Lyapunov-based model predictive control. Proceedings of the ... American Control Conference. American Control Conference.
2818-2823.
-
Sitapure, N., Epps, R., Abolhasani, M., & Kwon, J.
(2021).
Multiscale CFD modeling and optimal control of a continuous slug flow crystallizer for quantum dot production. 1016-1021.
-
Narasingam, A., & Sang-Il Kwon, J.
(2020).
Closed-loop stabilization of nonlinear systems using Koopman Lyapunov-based model predictive control. Proceedings of the ... IEEE Conference on Decision & Control / IEEE Control Systems Society. IEEE Conference on Decision & Control.
704-709.
-
Lee, D., Ding, Y., Jayaraman, A., & Kwon, J.
(2020).
Derivation of a Dynamic Model for Palmitate-induced NF kappa B Signaling Pathway through Systems Biology Approach. Proceedings of the ... American Control Conference. American Control Conference.
5028-5033.
-
Siddhamshetty, P., Bhandakkar, P., & Kwon, J.
(2020).
Design of online pumping schedules in naturally fractured shale formations to enhance total fracture surface area. 3114-3119.
-
Narasingam, A., & Kwon, J.
(2020).
Koopman operator-based model identification and control of hydraulic fracture propagation. 4533-4538.
-
Sitapure, N., Qiao, T., Son, D. H., & Kwon, J.
(2020).
Modeling and size control of CsPbBr3 perovskite quantum dots. Proceedings of the ... American Control Conference. American Control Conference.
4331-4336.
-
Choi, H., & Kwon, J.
(2020).
Multiscale modeling and control of fiber length in pulp digester. 4343-4348.
-
Wu, H., Singla, A., Kwon, J. S., Choi, H., & Lee, D.
(2020).
Hetero-Multivalent Binding of Lectin to Glycans on Cell Membranes. Biophysical Journal.
383A-383A.
-
Mao, S., Siddhamshetty, P., Zhang, Z., Yu, W., Chun, T., Kwon, J., & Wu, K.
(2020).
Impact of Proppant Pumping Schedule on Well Production for Slickwater Fracturing
-
Lee, D., Jayaraman, A., & Kwon, J. S.
(2019).
Identification of Heterogeneous Parameters in an Intracellular Reaction Network from Population Snapshot Measurements through Sensitivity Analysis and Neural Network. IFAC-PapersOnLine.
107-112.
-
Lee, D., Singla, A., Wu, H., & Kwon, J.
(2018).
Dynamic Modeling of Binding Kinetics Between GD1b Ganglioside and Cholera Toxin Subunit B. Proceedings of the ... American Control Conference. American Control Conference.
1999-2004.
-
Narasingam, A., Siddhamshetty, P., & Kwon, J.
(2018).
Identification of spatially varying geological properties in a heterogeneous reservoir using EnKF and POD based parameterization. Proceedings of the ... American Control Conference. American Control Conference.
1144-1149.
-
Lee, D., Ding, Y., Jayaraman, A., & Sang-Il Kwon, J.
(2018).
Integrative Approach to Extract the Single-cell Dynamics of LPS-induced NF kappa B Signal Pathway through Flow Cytometry Measurements and Parameter Estimation. Proceedings of the ... American Control Conference. American Control Conference.
1975-1980.
-
Marcellos, C., Durand, H., Kwon, J., Barreto, A. G., da Cunha Lage, P. L., de Souza, M. B., Secchi, A. R., & Christofides, P. D.
(2018).
Model Predictive Control of Batch Enantiomer Crystallization Using Ternary Diagram Information. Proceedings of the ... American Control Conference. American Control Conference.
5927-5933.
-
Sidhu, H. S., Narasingam, A., & Kwon, J. S.
(2018).
Model order reduction of nonlinear parabolic PDE systems with moving boundaries using sparse proper orthogonal decomposition methodology. Proceedings of the ... American Control Conference. American Control Conference.
6421-6426.
-
Siddhamshetty, P., & Sang-Il Kwon, J.
(2018).
Model-based feedback control of oil production in oil-rim reservoirs under gas coning conditions. Proceedings of the ... American Control Conference. American Control Conference.
2605-2610.
-
Narasingam, A., Siddhamshetty, P., & Kwon, J.
(2018).
Handling Spatial Heterogeneity in Reservoir Parameters Using Proper Orthogonal Decomposition Based Ensemble Kalman Filter for Model-Based Feedback Control of Hydraulic Fracturing. Industrial & Engineering Chemistry Research.
3977-3989.
-
Yuan, S., Kwon, J., & Mannan, M. S.
(2017).
CFD simulation of charged aerosol combustion under high electrical field. 151.
-
Sidhu, H. S., Narasingam, A., Siddhamshetty, P., & Kwon, J.
(2017).
Determination of the optimal number of eigenfunctions in proper orthogonal decomposition based on machine learning. 231.
-
Kwon, J. S., Nayhouse, M., & Christofides, D.
(2015).
Handling Parametric Drift in Batch Crystallization Using Predictive Control with R2R Model Parameter EstimationFinancial support from the Extreme Science and Engineering Discovery Environment (TG-CCR120003), the National Science Foundation (CBET-0967291), and the NSF Graduate Research Fellowship (DGE-1144087) given to Michael Nayhouse is gratefully acknowledged. IFAC-PapersOnLine.
912-917.
-
Crose, .., Kwon, J. S., Nayhouse, M., Ni, D., & Christofides, P. D.
(2015).
On Operation of PECVD of Thin Film Solar CellsFinancial support from the National Science Foundation (NSF), CBET-1262812, is gratefully acknowledged. IFAC-PapersOnLine.
278-283.
-
Nayhouse, M., Kwon, J., Orkoulas, G., & Christofides, P. D.
(2013).
Modeling and control of protein crystal shape distribution. Proceedings of the ... American Control Conference. American Control Conference.
1896-1901.
-
Lee, D., Jayaraman, A., & Kwon, J.
(2021).
A Hybrid Mechanistic Data-driven Approach for Modeling Uncertain Intracellular Signaling Pathways. Proceedings of the ... American Control Conference. American Control Conference.
1903-1908.
-
institutional repository document
-
Hu, Q., Kuai, D., Park, H., Clark, H., Balbuena, P. B., Kwon, J., & Wu, H.
(2023).
Advancing Glycan Analysis: A New Platform Integrating SERS, Boronic Acids, and Machine Learning Algorithms
-
Shah, P., Sheriff, Z., Bangi, M., Kravaris, C., Kwon, J., Botre, C., & Hirota, J.
(2021).
Deep Neural Network-Based Hybrid Modeling and Experimental Validation for a Full-Scale Bio-Fermentation Process: Identification of Time-Varying Dependencies Among Parameters. SSRN Electronic Journal.
-
Son, S. H., Narasingam, A., & Kwon, J.
(2020).
Handling plant-model mismatch in Koopman Lyapunov-based model predictive control via offset-free control framework
-
Narasingam, A., & Kwon, J.
(2020).
Data-driven feedback stabilization of nonlinear systems: Koopman-based model predictive control
-
Hu, Q., Kuai, D., Park, H., Clark, H., Balbuena, P. B., Kwon, J., & Wu, H.
(2023).
Advancing Glycan Analysis: A New Platform Integrating SERS, Boronic Acids, and Machine Learning Algorithms
Research
principal investigator on
co-principal investigator on
- A New Tool for the Analysis of Glycan Recognition in Lectin awarded by National Science Foundation - (Arlington, Virginia, United States) 2019 - 2022
- Dynamic Binary Complexes (DBC) as Super-Adjustable Viscosity Modifiers for Hydraulic Fracturing Fluids awarded by United States Department of Energy - (Washington D.C., District of Columbia, United States) 2019 - 2022
Teaching
teaching activities
- CHEN320 Chen Analysis Instructor
- CHEN323 Chem Engr Heat Ops Instructor
- CHEN461 Process Dynamics & Cntrl Instructor
- CHEN489 Sptp: Ml Proc Ctrl Mdlg Instructor
- CHEN491 Hnr-research Instructor
- CHEN681 Seminar Instructor
- CHEN684 Professional Internship: In-ab Instructor
- CHEN685 Directed Studies Instructor
- CHEN689 Sptp: Ml For Process Ctrl & M Instructor
- CHEN689 Sptp: Ml Proc Ctrl Mdlg Instructor
- CHEN691 Research Instructor
- ICPE644 Data Sci Process Systems Instructor
- ICPE689 Sptp: Rec Trends Proc Mod Ctrl Instructor
- ICPE689 Sptp:data Sci For Process Sys Instructor
- ICPE689 Sptp:data Science For Process Instructor
Works By Students
chaired theses and dissertations
Background
education and training
- Ph.D. in Chemical and Biomolecular Engineering, University of California Los Angeles - (Los Angeles, California, United States) 2015
- M.S. in Electrical Engineering, University of Pennsylvania - (Philadelphia, Pennsylvania, United States) 2011
- B.S. in Chemical Engineering, Mathematics, and Chemistry, University of Minnesota - (Minneapolis, Minnesota, United States) 2009
Contact
first name
- Joseph
has last name
- Kwon
mailing address
-
Texas A&M University
Chemical Engineering
3122 TAMU
College Station, TX 77843-3122
USA
Other
- kwonx075@tamu.edu