Modeling and control of protein crystal shape distribution. - Michael Nayhouse; Joseph Sang-Il Kwon; Gerassimos Orkoulas; Panagiotis D. Christofides (ACC, 2013)

Modeling of hydraulic fracturing and developing a new pumping schedule to achieve uniform proppant concentration. - Prashanth Siddhamshetty; Seeyub Yang; Joseph Sang-Il Kwon (ACC, 2017)

Development of local dynamic mode decomposition with control: Application to model predictive control of hydraulic fracturing. - Abhinav Narasingam; Joseph Sang-Il Kwon (Comput. Chem. Eng., 2017)

Optimal pumping schedule design to achieve a uniform proppant concentration level in hydraulic fracturing. - Seeyub Yang; Prashanth Siddhamshetty; Joseph Sang-Il Kwon (Comput. Chem. Eng., 2017)

Integrative Approach to Extract the Single-cell Dynamics of LPS-induced NFκB Signal Pathway through Flow Cytometry Measurements and Parameter Estimation. - Dongheon Lee; Yufang Ding; Arul Jayaraman; Joseph Sang-Il Kwon (ACC, 2018)

Dynamic Modeling of Binding Kinetics Between GD1b Ganglioside and Cholera Toxin Subunit B. - Dongheon Lee; Akshi Singla; Hung-Jen Wu; Joseph Sang-Il Kwon (ACC, 2018)

Model Predictive Control of Batch Enantiomer Crystallization Using Ternary Diagram Information. - Caio Felippe Curitiba Marcellos; Helen Durand; Joseph Sang-Il Kwon; Amaro Gomes Barreto; Paulo Laranjeira da Cunha Lage; Maurício Bezerra de Souza Jr.; Argimiro Resende Secchi; Panagiotis D. Christofides (ACC, 2018)

Identification of spatially varying geological properties in a heterogeneous reservoir using EnKF and POD based parameterization. - Abhinav Narasingam; Prashanth Siddhamshetty; Joseph Sang-Il Kwon (ACC, 2018)

Model order reduction of nonlinear parabolic PDE systems with moving boundaries using sparse proper orthogonal decomposition methodology. - Harwinder Singh Sidhu; Abhinav Narasingam; Joseph Sang-Il Kwon (ACC, 2018)

Kinetic Monte Carlo modeling of multivalent binding of CTB proteins with GM1 receptors. - Dongheon Lee; Alec Mohr; Joseph Sang-Il Kwon; Hung-Jen Wu (Comput. Chem. Eng., 2018)

Data-driven identification of interpretable reduced-order models using sparse regression. - Abhinav Narasingam; Joseph Sang-Il Kwon (Comput. Chem. Eng., 2018)

Model-based feedback control of oil production in oil-rim reservoirs under gas coning conditions. - Prashanth Siddhamshetty; Joseph Sang-Il Kwon (Comput. Chem. Eng., 2018)

Modeling of hydraulic fracturing and designing of online pumping schedules to achieve uniform proppant concentration in conventional oil reservoirs. - Prashanth Siddhamshetty; Seeyub Yang; Joseph Sang-Il Kwon (Comput. Chem. Eng., 2018)

Model order reduction of nonlinear parabolic PDE systems with moving boundaries using sparse proper orthogonal decomposition: Application to hydraulic fracturing. - Harwinder Singh Sidhu; Abhinav Narasingam; Prashanth Siddhamshetty; Joseph Sang-Il Kwon (Comput. Chem. Eng., 2018)

Multiscale modeling and model-based feedback control of pulp digester. - Hyun-Kyu Choi; Joseph Sang-Il Kwon (ACC, 2019)

Modeling and control of cell wall thickness in batch delignification. - Hyun-Kyu Choi; Joseph Sang-Il Kwon (Comput. Chem. Eng., 2019)

Simultaneous measurement uncertainty reduction and proppant bank height control of hydraulic fracturing. - Prashanth Siddhamshetty; Joseph Sang-Il Kwon (Comput. Chem. Eng., 2019)

Multiscale modeling and control of fiber length in pulp digester. - Hyun-Kyu Choi; Joseph Sang-Il Kwon (ACC, 2020)

Derivation of a Dynamic Model for Palmitate-induced NFκB Signaling Pathway through Systems Biology Approach. - Dongheon Lee; Yufang Ding; Arul Jayaraman; Joseph Sang-Il Kwon (ACC, 2020)

Koopman operator-based model identification and control of hydraulic fracture propagation. - Abhinav Narasingam; Joseph Sang-Il Kwon (ACC, 2020)

Design of online pumping schedules in naturally fractured shale formations to enhance total fracture surface area. - Prashanth Siddhamshetty; Parth Bhandakkar; Joseph Sang-Il Kwon (ACC, 2020)

Modeling and size control of CsPbBr3 perovskite quantum dots. - Niranjan Sitapure; Tian Qiao; Dong Hee Son; Joseph Sang-Il Kwon (ACC, 2020)

Closed-loop stabilization of nonlinear systems using Koopman Lyapunov-based model predictive control. - Abhinav Narasingam; Joseph Sang-Il Kwon (CDC, 2020)

Deep hybrid modeling of chemical process: Application to hydraulic fracturing. - Mohammed Saad Faizan Bangi; Joseph Sang-Il Kwon (Comput. Chem. Eng., 2020)

Kinetic Monte Carlo modeling of the equilibrium-based size control of CsPbBr3 perovskite quantum dots in strongly confined regime. - Niranjan Sitapure; Tian Qiao; Dong Hee Son; Joseph Sang-Il Kwon (Comput. Chem. Eng., 2020)

Multiscale modeling and control of pulp digester under fiber-to-fiber heterogeneity. - Sang Hwan Son; Hyun-Kyu Choi; Joseph Sang-Il Kwon (Comput. Chem. Eng., 2020)

Data-driven feedback stabilization of nonlinear systems: Koopman-based model predictive control. - Abhinav Narasingam; Joseph Sang-Il Kwon (CoRR, 2020)

Handling plant-model mismatch in Koopman Lyapunov-based model predictive control via offset-free control framework. - Sang Hwan Son; Abhinav Narasingam; Joseph Sang-Il Kwon (CoRR, 2020)

Development of a hybrid model for a partially known intracellular signaling pathway through correction term estimation and neural network modeling. - Dongheon Lee; Arul Jayaraman; Joseph Sang-Il Kwon (PLoS Comput. Biol., 2020)

Dynamic risk-based fault prediction of chemical processes using online sparse model identification. - Bhavana Bhadriraju; Joseph Sang-Il Kwon; Faisal Khan 001 (ACC, 2021)

Inferential model predictive control of blow-line fiber morphology in a continuous pulp digester via multiscale modeling. - Hyun-Kyu Choi; Sang Hwan Son; Joseph Sang-Il Kwon (ACC, 2021)

A Hybrid Mechanistic Data-Driven Approach for Modeling Uncertain Intracellular Signaling Pathways. - Dongheon Lee; Arul Jayaraman; Joseph Sang-Il Kwon (ACC, 2021)

Multiscale CFD modeling and optimal control of a continuous slug flow crystallizer for quantum dot production. - Niranjan Sitapure; Robert W. Epps; Milad Abolhasani; Joseph Sang-Il Kwon (ACC, 2021)

Integration of offset-free control framework with Koopman Lyapunov-based model predictive control. - Sang Hwan Son; Abhinav Narasingam; Joseph Sang-Il Kwon (ACC, 2021)

Deep reinforcement learning control of hydraulic fracturing. - Mohammed Saad Faizan Bangi; Joseph Sang-Il Kwon (Comput. Chem. Eng., 2021)

Risk-based fault prediction of chemical processes using operable adaptive sparse identification of systems (OASIS). - Bhavana Bhadriraju; Joseph Sang-Il Kwon; Faisal Khan 001 (Comput. Chem. Eng., 2021)

Multiscale modeling of dendrite formation in lithium-ion batteries. - Hyeonggeon Lee; Niranjan Sitapure; Sungwon Hwang; Joseph Sang-Il Kwon (Comput. Chem. Eng., 2021)

Universal hybrid modeling of batch kinetics of aerobic carotenoid production using Saccharomyces Cerevisiae. - Mohammed Saad Faizan Bangi; Joseph Sang-Il Kwon (ACC, 2022)

Prediction and isolation of process faults using operable adaptive sparse identification of systems (OASIS) and contribution plots. - Bhavana Bhadriraju; Joseph Sang-Il Kwon; Faisal Khan 001 (ACC, 2022)

Mitigation of intra-cycle mechano-chemical degradation-based capacity fade in Lithium-ion batteries: Application of a model predictive controller. - Gyuyeong Hwang; Niranjan Sitapure; Jiyoung Moon; Sungwon Hwang; Joseph Sang-Il Kwon (ACC, 2022)

Model predictive control of fiber deformation in a batch pulp digester. - Juyeong Jung; Hyun-Kyu Choi; Sang Hwan Son; Joseph Sang-Il Kwon; Jay H. Lee (ACC, 2022)

Handling cyclic loops for accurate root cause diagnosis of rare events in chemical processes using modified Bayesian network. - Pallavi Kumari; Bhavana Bhadriraju; Qingsheng Wang; Joseph Sang-Il Kwon (ACC, 2022)

Model Predictive Control of Spray Coating of Perovskite Quantum Dots for Application in Perovskite Solar Cells. - Niranjan Sitapure; Joseph Sang-Il Kwon (ACC, 2022)

Multiscale modeling of fiber deformation: Application to a batch pulp digester for model predictive control of fiber strength. - Juyeong Jung; Hyun-Kyu Choi; Sang Hwan Son; Joseph Sang-Il Kwon; Jay H. Lee (Comput. Chem. Eng., 2022)

Dynamic modeling and predictive control of boil-off gas generation during LNG loading. - Kyeongseok Shin; Sang Hwan Son; Jiyoung Moon; Yeonpyeong Jo; Joseph Sang-Il Kwon; Sungwon Hwang (Comput. Chem. Eng., 2022)

Control Lyapunov-Barrier function-based predictive control using a deep hybrid model with guarantees on domain of applicability. - Mohammed Saad Faizan Bangi; Joseph Sang-Il Kwon (ACC, 2023)

Multiscale modeling, experimental validation, and optimal operation for a batch pulp digester with a novel solvent. - Silabrata Pahari; Juhyeon Kim; Mairui Zhang; Anqi Ji; Chang Geun Yoo; Joseph Sang-Il Kwon (ACC, 2023)

LSTM-based control of cellulose degree of polymerization in a batch pulp digester. - Parth Shah; Hyun-Kyu Choi; Joseph Sang-Il Kwon (ACC, 2023)

Model Predictive Control of Cadmium Telluride (CdTe) Quantum Dot (QD) Crystallization. - Niranjan Sitapure; Joseph Sang-Il Kwon (ACC, 2023)

Require Process Control? LSTMc is all you need! - Niranjan Sitapure; Joseph Sang-Il Kwon (CoRR, 2023)

Introducing Hybrid Modeling with Time-series-Transformers: A Comparative Study of Series and Parallel Approach in Batch Crystallization. - Niranjan Sitapure; Joseph Sang-Il Kwon (CoRR, 2023)

Data-driven feedback stabilisation of nonlinear systems: Koopman-based model predictive control. - Abhinav Narasingam; Sang Hwan Son; Joseph Sang-Il Kwon (Int. J. Control, 2023)

An adaptive data-driven approach for two-timescale dynamics prediction and remaining useful life estimation of Li-ion batteries. - Bhavana Bhadriraju; Joseph Sang-Il Kwon; Faisal Khan 001 (Comput. Chem. Eng., 2023)

Resilience assessment of chemical processes using operable adaptive sparse identification of systems. - Bhushan Pawar; Bhavana Bhadriraju; Faisal Khan 001; Joseph Sang-Il Kwon; Qingsheng Wang (Comput. Chem. Eng., 2023)

CrystalGPT: Enhancing system-to-system transferability in crystallization prediction and control using time-series-transformers. - Niranjan Sitapure; Joseph Sang-Il Kwon (Comput. Chem. Eng., 2023)

Lyapunov-Based Model Predictive Control Using Operable Adaptive Sparse Identification of Systems (OASIS). - Bhavana Bhadriraju; Joseph Sang-Il Kwon; Faisal Khan 001 (ACC, 2024)

Adaptive Control for Lignin-First Biomass Fractionation: An Experimentally Verified Multiscale kMC Approach. - Juhyeon Kim; Silabrata Pahari; Jiae Ryu; Mairui Zhang; Chang Geun Yoo; Joseph Sang-Il Kwon (ACC, 2024)

Enhancing Protein Crystal Purity through Adaptive Kinetic Monte Carlo Modeling and Control of Surface Morphology. - Satchit Nagpal; Joseph Sang-Il Kwon (ACC, 2024)

Integrating Deep Neural Networks for Hybrid Modeling of Complex Chemical Processes: Estimation of Spatiotemporally Varying Parameters in Moving Boundary Problems. - Silabrata Pahari; Parth Shah; Joseph Sang-Il Kwon (ACC, 2024)

A Hybrid Modeling Framework for Catalytic Systems: Sensitivity Analysis and Estimation of Activation Energies. - Silabrata Pahari; Parth Shah; Chi Ho Lee; Joseph Sang-Il Kwon (ACC, 2024)

Integrating Machine Learning in Process Control with LSTMc: A Case Study in Batch Crystallization. - Niranjan Sitapure; Joseph Sang-Il Kwon (ACC, 2024)

Empowering Hybrid Models with Attention-Based Time-series Transformers: A Case Study in Batch Crystallization. - Niranjan Sitapure; Joseph Sang-Il Kwon (ACC, 2024)

Hybrid modeling of first-principles and machine learning: A step-by-step tutorial review for practical implementation. - Parth Shah; Silabrata Pahari; Raj Bhavsar; Joseph Sang-Il Kwon (Comput. Chem. Eng., 2025)