Joseph Sang-Il Kwon

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Panagiotis D. ChristofidesWilliam D. Van Vorst Distinguished Professor and Department Chair of Chemical Engineering, UCLAAdresse e-mail validée de seas.ucla.edu
Sang Hwan SonSchool of Chemical and Biomolecular Engineering, Pusan National UniversityAdresse e-mail validée de pusan.ac.kr
Michael NayhouseSoftware Engineer - Simulation, Latitude AIAdresse e-mail validée de ucla.edu
Gerassimos OrkoulasUCLAAdresse e-mail validée de seas.ucla.edu
Faisal KhanTexas A&M UniversityAdresse e-mail validée de tamu.edu
Mustafa E. S. AkbulutProfessor of Chemical Engineering, Texas A&M UniversityAdresse e-mail validée de tamu.edu
Hung-Jen WuTexas A&M UniversityAdresse e-mail validée de tamu.edu
Sungwon HwangInha UniversityAdresse e-mail validée de inha.ac.kr
Arul JayaramanProfessor of Chemical Engineering, Texas A&M UniversityAdresse e-mail validée de tamu.edu
Qingsheng WangProfessor of Chemical Engineering, Texas A&M UniversityAdresse e-mail validée de tamu.edu
Yuchan AhnAssistant Professor, Department of Chemical Engineering, Keimyung University,Adresse e-mail validée de kmu.ac.kr
Costas KravarisProfessor of Chemical Engineering, Texas A&M UniversityAdresse e-mail validée de tamu.edu
Wu, KanTexas A&M UniversityAdresse e-mail validée de tamu.edu
Dong NiZhejiang UniversityAdresse e-mail validée de zju.edu.cn
Chad V. MashugaAssistant Professor of Chemical Engineering, Texas A&M UniversityAdresse e-mail validée de tamu.edu
Milad AbolhasaniALCOA Professor and University Faculty Scholar at NC State UniversityAdresse e-mail validée de ncsu.edu
Perla BalbuenaProfessor of Chemical Engineering, Texas A&M UniversityAdresse e-mail validée de tamu.edu
Junghwan KimAssociate Professor, Yonsei UniversityAdresse e-mail validée de yonsei.ac.kr
Mahmoud El-HalwagiTexas A&M UniversityAdresse e-mail validée de tamu.edu
P P ValkoProfessor Emeritus of Petroleum Engineering, Texas A&M UniversityAdresse e-mail validée de tamu.edu

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Joseph Sang-Il Kwon

Kenneth R. Hall Associate Professor, Artie McFerrin Department of Chemical Engineering, TAMU

Adresse e-mail validée de tamu.edu - Page d'accueil

Multiscale Modeling Model Reduction Model Predictive Control


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Deep hybrid modeling of chemical process: Application to hydraulic fracturing MSF Bangi, JSI Kwon Computers & Chemical Engineering 134, 106696, 2020	147	2020
Development of local dynamic mode decomposition with control: Application to model predictive control of hydraulic fracturing A Narasingam, JSI Kwon Computers & Chemical Engineering 106, 501-511, 2017	128	2017
Crystal shape and size control using a plug flow crystallization configuration JSI Kwon, M Nayhouse, G Orkoulas, PD Christofides Chemical Engineering Science 119, 30-39, 2014	124	2014
Modeling and control of crystal shape in continuous protein crystallization JSI Kwon, M Nayhouse, PD Christofides, G Orkoulas Chemical Engineering Science 107, 47-57, 2014	111	2014
Machine learning-based adaptive model identification of systems: Application to a chemical process B Bhadriraju, A Narasingam, JSI Kwon Chemical Engineering Research and Design 152, 372-383, 2019	107	2019
Koopman Lyapunov‐based model predictive control of nonlinear chemical process systems A Narasingam, JSI Kwon AIChE Journal 65 (11), e16743, 2019	107	2019
Temporal clustering for order reduction of nonlinear parabolic PDE systems with time‐dependent spatial domains: Application to a hydraulic fracturing process A Narasingam, P Siddhamshetty, J Sang‐Il Kwon AIChE Journal 63 (9), 3818-3831, 2017	102	2017
Development of a hybrid model for a partially known intracellular signaling pathway through correction term estimation and neural network modeling D Lee, A Jayaraman, JS Kwon PLoS Computational Biology 16 (12), e1008472, 2020	100	2020
Deep neural network-based hybrid modeling and experimental validation for an industry-scale fermentation process: Identification of time-varying dependencies among parameters P Shah, MZ Sheriff, MSF Bangi, C Kravaris, JSI Kwon, C Botre, J Hirota Chemical Engineering Journal 441, 135643, 2022	96	2022
Data-driven identification of interpretable reduced-order models using sparse regression A Narasingam, JSI Kwon Computers & Chemical Engineering 119, 101-111, 2018	93	2018
Operable adaptive sparse identification of systems: Application to chemical processes B Bhadriraju, MSF Bangi, A Narasingam, JSI Kwon AIChE Journal 66 (11), e16980, 2020	90	2020
Modeling and control of protein crystal shape and size in batch crystallization JSI Kwon, M Nayhouse, PD Christofides, G Orkoulas AIChE Journal 59 (7), 2317-2327, 2013	89	2013
Physics-informed neural networks for hybrid modeling of lab-scale batch fermentation for β-carotene production using Saccharomyces cerevisiae MSF Bangi, K Kao, JSI Kwon Chemical Engineering Research and Design 179, 415-423, 2022	86	2022
Exploring the potential of time-series transformers for process modeling and control in chemical systems: an inevitable paradigm shift? N Sitapure, JSI Kwon Chemical Engineering Research and Design 194, 461-477, 2023	85	2023
Multiscale modeling and operation of PECVD of thin film solar cells M Crose, JSI Kwon, M Nayhouse, D Ni, PD Christofides Chemical Engineering Science 136, 50-61, 2015	78	2015
Handling spatial heterogeneity in reservoir parameters using proper orthogonal decomposition based ensemble Kalman filter for model-based feedback control of hydraulic fracturing A Narasingam, P Siddhamshetty, JSI Kwon Industrial & Engineering Chemistry Research 57 (11), 3977-3989, 2018	75	2018
Impact of proppant pumping schedule on well production for slickwater fracturing S Mao, P Siddhamshetty, Z Zhang, W Yu, T Chun, JSI Kwon, K Wu SPE Journal 26 (01), 342-358, 2021	72	2021
Modeling of hydraulic fracturing and designing of online pumping schedules to achieve uniform proppant concentration in conventional oil reservoirs P Siddhamshetty, S Yang, JSI Kwon Computers & Chemical Engineering 114, 306-317, 2018	71	2018
Developing quantitative structure–property relationship models to predict the upper flammability limit using machine learning S Yuan, Z Jiao, N Quddus, JSII Kwon, CV Mashuga Industrial & Engineering Chemistry Research 58 (8), 3531-3537, 2019	69	2019
Hybrid Koopman model predictive control of nonlinear systems using multiple EDMD models: An application to a batch pulp digester with feed fluctuation SH Son, HK Choi, J Moon, JSI Kwon Control Engineering Practice 118, 104956, 2022	67	2022

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