Joseph Sang-Il Kwon

Orcid: 0000-0002-7903-5681

According to our database1, Joseph Sang-Il Kwon authored at least 62 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Empowering Hybrid Models with Attention-Based Time-series Transformers: A Case Study in Batch Crystallization.
Proceedings of the American Control Conference, 2024

Integrating Machine Learning in Process Control with LSTMc: A Case Study in Batch Crystallization.
Proceedings of the American Control Conference, 2024

A Hybrid Modeling Framework for Catalytic Systems: Sensitivity Analysis and Estimation of Activation Energies.
Proceedings of the American Control Conference, 2024

Integrating Deep Neural Networks for Hybrid Modeling of Complex Chemical Processes: Estimation of Spatiotemporally Varying Parameters in Moving Boundary Problems.
Proceedings of the American Control Conference, 2024

Enhancing Protein Crystal Purity through Adaptive Kinetic Monte Carlo Modeling and Control of Surface Morphology.
Proceedings of the American Control Conference, 2024

Adaptive Control for Lignin-First Biomass Fractionation: An Experimentally Verified Multiscale kMC Approach.
Proceedings of the American Control Conference, 2024

Lyapunov-Based Model Predictive Control Using Operable Adaptive Sparse Identification of Systems (OASIS).
Proceedings of the American Control Conference, 2024

2023
CrystalGPT: Enhancing system-to-system transferability in crystallization prediction and control using time-series-transformers.
Comput. Chem. Eng., September, 2023

Resilience assessment of chemical processes using operable adaptive sparse identification of systems.
Comput. Chem. Eng., September, 2023

An adaptive data-driven approach for two-timescale dynamics prediction and remaining useful life estimation of Li-ion batteries.
Comput. Chem. Eng., July, 2023

Data-driven feedback stabilisation of nonlinear systems: Koopman-based model predictive control.
Int. J. Control, March, 2023

Introducing Hybrid Modeling with Time-series-Transformers: A Comparative Study of Series and Parallel Approach in Batch Crystallization.
CoRR, 2023

Require Process Control? LSTMc is all you need!
CoRR, 2023

Model Predictive Control of Cadmium Telluride (CdTe) Quantum Dot (QD) Crystallization.
Proceedings of the American Control Conference, 2023

LSTM-based control of cellulose degree of polymerization in a batch pulp digester.
Proceedings of the American Control Conference, 2023

Multiscale modeling, experimental validation, and optimal operation for a batch pulp digester with a novel solvent.
Proceedings of the American Control Conference, 2023

Control Lyapunov-Barrier function-based predictive control using a deep hybrid model with guarantees on domain of applicability.
Proceedings of the American Control Conference, 2023

2022
Dynamic modeling and predictive control of boil-off gas generation during LNG loading.
Comput. Chem. Eng., 2022

Multiscale modeling of fiber deformation: Application to a batch pulp digester for model predictive control of fiber strength.
Comput. Chem. Eng., 2022

Model Predictive Control of Spray Coating of Perovskite Quantum Dots for Application in Perovskite Solar Cells.
Proceedings of the American Control Conference, 2022

Handling cyclic loops for accurate root cause diagnosis of rare events in chemical processes using modified Bayesian network.
Proceedings of the American Control Conference, 2022

Model predictive control of fiber deformation in a batch pulp digester.
Proceedings of the American Control Conference, 2022

Mitigation of intra-cycle mechano-chemical degradation-based capacity fade in Lithium-ion batteries: Application of a model predictive controller.
Proceedings of the American Control Conference, 2022

Prediction and isolation of process faults using operable adaptive sparse identification of systems (OASIS) and contribution plots.
Proceedings of the American Control Conference, 2022

Universal hybrid modeling of batch kinetics of aerobic carotenoid production using Saccharomyces Cerevisiae.
Proceedings of the American Control Conference, 2022

2021
Multiscale modeling of dendrite formation in lithium-ion batteries.
Comput. Chem. Eng., 2021

Risk-based fault prediction of chemical processes using operable adaptive sparse identification of systems (OASIS).
Comput. Chem. Eng., 2021

Deep reinforcement learning control of hydraulic fracturing.
Comput. Chem. Eng., 2021

Integration of offset-free control framework with Koopman Lyapunov-based model predictive control.
Proceedings of the 2021 American Control Conference, 2021

Multiscale CFD modeling and optimal control of a continuous slug flow crystallizer for quantum dot production.
Proceedings of the 2021 American Control Conference, 2021

A Hybrid Mechanistic Data-Driven Approach for Modeling Uncertain Intracellular Signaling Pathways.
Proceedings of the 2021 American Control Conference, 2021

Inferential model predictive control of blow-line fiber morphology in a continuous pulp digester via multiscale modeling.
Proceedings of the 2021 American Control Conference, 2021

Dynamic risk-based fault prediction of chemical processes using online sparse model identification.
Proceedings of the 2021 American Control Conference, 2021

2020
Development of a hybrid model for a partially known intracellular signaling pathway through correction term estimation and neural network modeling.
PLoS Comput. Biol., 2020

Handling plant-model mismatch in Koopman Lyapunov-based model predictive control via offset-free control framework.
CoRR, 2020

Data-driven feedback stabilization of nonlinear systems: Koopman-based model predictive control.
CoRR, 2020

Multiscale modeling and control of pulp digester under fiber-to-fiber heterogeneity.
Comput. Chem. Eng., 2020

Kinetic Monte Carlo modeling of the equilibrium-based size control of CsPbBr<sub>3</sub> perovskite quantum dots in strongly confined regime.
Comput. Chem. Eng., 2020

Deep hybrid modeling of chemical process: Application to hydraulic fracturing.
Comput. Chem. Eng., 2020

Closed-loop stabilization of nonlinear systems using Koopman Lyapunov-based model predictive control.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Modeling and size control of CsPbBr3 perovskite quantum dots.
Proceedings of the 2020 American Control Conference, 2020

Design of online pumping schedules in naturally fractured shale formations to enhance total fracture surface area.
Proceedings of the 2020 American Control Conference, 2020

Koopman operator-based model identification and control of hydraulic fracture propagation.
Proceedings of the 2020 American Control Conference, 2020

Derivation of a Dynamic Model for Palmitate-induced NFκB Signaling Pathway through Systems Biology Approach.
Proceedings of the 2020 American Control Conference, 2020

Multiscale modeling and control of fiber length in pulp digester.
Proceedings of the 2020 American Control Conference, 2020

2019
Simultaneous measurement uncertainty reduction and proppant bank height control of hydraulic fracturing.
Comput. Chem. Eng., 2019

Modeling and control of cell wall thickness in batch delignification.
Comput. Chem. Eng., 2019

Multiscale modeling and model-based feedback control of pulp digester.
Proceedings of the 2019 American Control Conference, 2019

2018
Model order reduction of nonlinear parabolic PDE systems with moving boundaries using sparse proper orthogonal decomposition: Application to hydraulic fracturing.
Comput. Chem. Eng., 2018

Modeling of hydraulic fracturing and designing of online pumping schedules to achieve uniform proppant concentration in conventional oil reservoirs.
Comput. Chem. Eng., 2018

Model-based feedback control of oil production in oil-rim reservoirs under gas coning conditions.
Comput. Chem. Eng., 2018

Data-driven identification of interpretable reduced-order models using sparse regression.
Comput. Chem. Eng., 2018

Kinetic Monte Carlo modeling of multivalent binding of CTB proteins with GM1 receptors.
Comput. Chem. Eng., 2018

Model order reduction of nonlinear parabolic PDE systems with moving boundaries using sparse proper orthogonal decomposition methodology.
Proceedings of the 2018 Annual American Control Conference, 2018

Identification of spatially varying geological properties in a heterogeneous reservoir using EnKF and POD based parameterization.
Proceedings of the 2018 Annual American Control Conference, 2018

Model Predictive Control of Batch Enantiomer Crystallization Using Ternary Diagram Information.
Proceedings of the 2018 Annual American Control Conference, 2018

Dynamic Modeling of Binding Kinetics Between GD1b Ganglioside and Cholera Toxin Subunit B.
Proceedings of the 2018 Annual American Control Conference, 2018

Integrative Approach to Extract the Single-cell Dynamics of LPS-induced NFκB Signal Pathway through Flow Cytometry Measurements and Parameter Estimation.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Optimal pumping schedule design to achieve a uniform proppant concentration level in hydraulic fracturing.
Comput. Chem. Eng., 2017

Development of local dynamic mode decomposition with control: Application to model predictive control of hydraulic fracturing.
Comput. Chem. Eng., 2017

Modeling of hydraulic fracturing and developing a new pumping schedule to achieve uniform proppant concentration.
Proceedings of the 2017 American Control Conference, 2017

2013
Modeling and control of protein crystal shape distribution.
Proceedings of the American Control Conference, 2013


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