Invited Presentations
2019
J. S. Kwon, “An operator theoretic framework for data-driven identification and control of hydraulic fracturing”, Interdisciplinary Machine Learning in Science and Engineering, College Station, Texas. (December, 2019)
J. S. Kwon, “Enhancing hydraulic fracturing productivity via model-based feedback control”, AIChE 2019 Annual Meeting (KIChE US Chapter Emerging Junior Investigator Open Innovation Forum), paper 520a, Orlando, Florida. (November, 2019)
J. S. Kwon, “Multiscale modeling of pulp and paper manufacturing process”, AIChE 2019 Annual Meeting (KIChE President Young Investigator Award Presentation), paper 588e, Orlando, Florida. (November, 2019)
J. S. Kwon, “Multiscale modeling and control of cell wall thickness in batch pulp digester”, US-Korea Conference, Chicago, Illinois. (August, 2019)
J. S. Kwon, “Application of virtual reality (VR) based learning platform to hydraulic fracturing”, Future of Cyber Assisted Chemical Engineering Education (CACHE 50th), Breckenridge, Colorado. (July, 2019)
J. S. Kwon, “An operator theoretic framework for data-driven identification and control of hydraulic fracturing”, Machine Learning in Science and Engineering (MLSE) Annual Data Science Forum, Georgia Institute of Technology, Altanta, Georgia. (June, 2019)
A. Narasingam, “An operator theoretic framework for data-driven identification and control of a hydraulic fracturing process,” Data-Driven Model Reduction, Scientific Frontiers, and Applications Workshop, College Station, Texas. (April, 2019)
2018
J. S. Kwon, “Data-driven identification of interpretable reduced-order models using sparse regression,” Deep Learning in Science and Engineering, Texas A&M University, College Station, Texas. (November, 2018)
J. S. Kwon, “Career readiness in academia,” 1st KSEA-South Texas Career Development Forum, Texas A&M University, College Station, Texas. (November, 2018)
J. S. Kwon, “Multiscale modeling and optimal control of bubble column reactor for natural gas desulfurization via chelated iron catalyst,” Streamline Chemical, San Antonio, Texas. (October, 2018).
J. S. Kwon, “Enhancing hydraulic fracturing productivity via model-based feedback control,” ExxonMobil, Houston, Texas. (September, 2018)
J. S. Kwon, “Enhancing hydraulic fracturing productivity via model-based feedback control,” Harold Vance Department of Petroleum Engineering, Texas A&M University, College Station, Texas. (September, 2018)
J. S. Kwon, “Enhancing hydraulic fracturing productivity via model-based feedback control,” Harold Vance Department of Petroleum Engineering, Chemical and Materials Engineering, University of Alberta, Edmonton, AB T6G 2R3, Canada. (August, 2018)
J. S. Kwon, “Enhancing hydraulic fracturing productivity via model-based feedback control,” Technology Center, Halliburton, Houston, Texas. (August , 2018)
J. S. Kwon, “Enhancing hydraulic fracturing productivity via model-based feedback control,” US-Korea Conference on Science, Technology, and Entrepreneurship, Queens, NY. (August, 2018)
J. S. Kwon, “Enhancing hydraulic fracturing productivity via model-based feedback control,” Seoul National University, Seoul, South Korea. (May, 2018)
J. S. Kwon, “Enhancing hydraulic fracturing productivity via model-based feedback control,” Chung-Ang University, Seoul, South Korea. (May, 2018)
J. S. Kwon, “Enhancing hydraulic fracturing productivity via model-based feedback control,” Chonbuk National University, Jeonju, South Korea. (May, 2018)
J. S. Kwon, “Enhancing hydraulic fracturing productivity via model-based feedback control,” Inha University, Incheon, South Korea. (May, 2018)
J. S. Kwon, “Enhancing hydraulic fracturing productivity via model-based feedback control,” Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea. (May, 2018)
2017
J. S. Kwon, “Development of local model reduction technique: application to hydraulic fracturing,” Data-Driven Model Reduction, Scientific Frontiers, and Applications Workshop, College Station, Texas. (April, 2017)
J. S. Kwon, “Modeling and control of hydraulic fracturing to achieve uniform proppant concentration,” 2017 Texas System Day, College Station, Texas. (March, 2017)
J. S. Kwon, “Modeling of hydraulic fracturing and design of online optimal pumping schedule,” Chemical Process Control – FOCAPO/CPC 2017, Tuscon, Arizona. (January , 2017) (Keynote Talk)
2016
J. S. Kwon, “Modeling and control of hydraulic fracturing systems,” US-Korea Conference on Science, Technology, and Entrepreneurship, Dallas, Texas. (August, 2016)
2015
J. S. Kwon, G. Orkoulas and P. D. Christofides, “On multiscale, multidomain modeling and parallel computation: application to crystal shape prediction in crystallization,”’ AIChE Annual Meeting 453d, Salt Lake City, Utah. (November 11, 2015) (Area Plenary: Future Directions in Applied Mathematics and Numerical Analysis in Computing and Systems Technology Division)
Contributed Presentations
2021
P. Shah, M. Z. Sheriff, M. S. F. Bangi, C. Kravaris and J. S. Kwon, “State Observer Design and Model Predictive Control of an Industrial-Scale Biochemical Fermenter,” AIChE Annual Meeting, paper 16e, Boston, Massachusetts. (2021)
K. Shin, S. Son, S. Hwang and J. S. Kwon, “Dynamic Modeling and Application of Model Predictive Control to the Cool-Down Process of a Liquefied Natural Gas (LNG) Tank,” AIChE Annual Meeting, paper 29a, Boston, Massachusetts. (2021)
S. Son, H. Choi, J. Moon and J. S. Kwon, “Improvement of Grade Transition Performance in Chemical Processes Via Model-Plant Mismatch Learning Offset-Free Koopman-Based Model Predictive Control,” AIChE Annual Meeting, paper 105e, Boston, Massachusetts. (2021)
S. Pahari, J. Moon, S. Hwang, M. Akbulut and J. S. Kwon, “Application of Model Predictive Control to Wormlike Micelles Production: A Case Study of CTAB and NaCl,” AIChE Annual Meeting, paper 105h, Boston, Massachusetts. (2021)
M. S. F. Bangi and J. S. Kwon, “Use of Dimensionality Reduction and Transfer Learning in Deep Reinforcement Learning Controller for Hydraulic Fracturing,” AIChE Annual Meeting, paper 109a, Boston, Massachusetts. (2021)
S. Liu, Y. Lin, B. Bhat, J. S. Kwon and M. Akbulut, “Ph-Responsive Viscoelastic Gel Based on Dynamic Binary Complex As Viscosity Modifying Agent for Hydraulic Fracturing,” AIChE Annual Meeting, paper 159q, Boston, Massachusetts. (2021)
D. Lee, A. Green, H. Wu and J. S. Kwon, “Accelerate Simulations of Multivalent Letin-Glycan Binding Process through Hybrid PDE-Kinetic Monte Carlo Model,” AIChE Annual Meeting, paper 284f, Boston, Massachusetts. (2021)
P. Kumari and J. S. Kwon, “A Modified Bayesian Network to Handle Cyclic Causal Network in Root Cause Diagnosis of Rare Events,” AIChE Annual Meeting, paper 345g, Boston, Massachusetts. (2021)
Y. Lin, S. Liu, B. Bhat, J. S. Kwon and M. Akbulut, “A Gemini-like Viscoelastic Surfactant System with pH Adjustable and High Salt Tolerance Properties Applied in the Area of Fracturing Fluid,” AIChE Annual Meeting, paper 351b, Boston, Massachusetts. (2021)
N. Sitapure and J. S. Kwon, “Multiscale Modeling of Spray Coating of Perovskite QDs: Understanding the Role of Molecular Interactions in Particle Aggregation,” AIChE Annual Meeting, paper 375a, Boston, Massachusetts. (2021)
J. Jung, H. Choi, J. S. Kwon and J. Lee, “Multiscale Modeling and Control of Fiber Curl Index to Enhance Fiber Strength in a Pulp Digester,” AIChE Annual Meeting, paper 434a, Boston, Massachusetts. (2021)
N. Sitapure, R. Epps, M. Abolhasani and J. S. Kwon, “Controlling the Effect of Slug-to-Slug Variation on the Crystal Size Distribution of Perovskite QDs: A CFD-Based Approach,” AIChE Annual Meeting, paper 472g, Boston, Massachusetts. (2021)
P. Shah, M. Z. Sheriff, M. S. F. Bangi, C. Kravaris and J. S. Kwon, “Data Clustering-Based Hybrid-Kinetic Model of an Industrial-Scale Biochemical Fermenter,” AIChE Annual Meeting, paper 475d, Boston, Massachusetts. (2021)
H. Choi, C. Yoo and J. S. Kwon, “A Computational Approach to Enhance the Economic Viability of Acid Fractionation Via Multiscale Modeling and Economic Model Predictive Control,” AIChE Annual Meeting, paper 492c, Boston, Massachusetts. (2021)
J. Roh, N. Sitapure, S. Son, I. Moon, H. Cho, J. S. Kwon and J. Kim, “Development of Two Sequential Kmc Models to Describe Ligand Exchange and Charge Transport for CsPbBr3 Quantum Dots with Improved Stability and Charge Carrier Mobility,” AIChE Annual Meeting, paper 501h, Boston, Massachusetts. (2021)
H. Lee, N. Sitapure, M. S. Angarita-Gomez, P. B. Balbuena, S. Hwang and J. S. Kwon, “A Multiscale Electro-Chemical Model for Simulating Dendrite Formation in Lithium-Ion Batteries,” AIChE Annual Meeting, paper 544e, Boston, Massachusetts. (2021)
P. Kumari, Q. Wang and J. S. Kwon, “Development of Computationally Efficient Dynamic Model to Estimate Consequence of Rare Events,” AIChE Annual Meeting, paper 560c, Boston, Massachusetts. (2021)
S. Pahari, M. Akbulut and J. S. Kwon, “Configurational-Bias Monte Carlo Simulation to Predict the Supramolecular Self-Assemblies of Amphiphiles,” AIChE Annual Meeting, paper 588g, Boston, Massachusetts. (2021)
S. Son, H. Choi, J. Moon and J. S. Kwon, “Development of Koopman-Based Model Predictive Control with Multimodel Approach to Handle Local Dynamics of Chemical Processes in Presence of Feed Fluctuation,” AIChE Annual Meeting, paper 610b, Boston, Massachusetts. (2021)
H. Choi, S. Son and J. S. Kwon, “Mitigation of Fiber Degradation in a Pulp Digester Via Multiscale Modeling and Control of the Degree of Polymerization of Cellulose,” AIChE Annual Meeting, paper 610e, Boston, Massachusetts. (2021)
K. Cao, S. Son and J. S. Kwon, “Closed-Loop Integration of Scheduling and Offset-Free Model Predictive Control of Hydraulic Fracturing,” AIChE Annual Meeting, paper 612h, Boston, Massachusetts. (2021)
B. Bhadriraju, J. S. Kwon and F. Khan, “OASIS-P: Operable Adaptive Sparse Identification of Systems for Fault Prognosis of Chemical Processing System,” AIChE Annual Meeting, paper 614a, Boston, Massachusetts. (2021)
S. Pahari, M. Akbulut and J. S. Kwon, “Modeling Linear Rheology of Nanoparticle-Enhanced Viscoelastic Fracturing Fluids for Unconventional Reservoirs,” AIChE Annual Meeting, paper 640a, Boston, Massachusetts. (2021)
B. Bhat, S. Liu, Y. Lin, J. S. Kwon and M. Akbulut, “Novel Zwitterionic Surfactant Based pH-Tunable Dynamic Binary Complex with Potential for Hydraulic Fracturing Applications,” AIChE Annual Meeting, paper 640c, Boston, Massachusetts. (2021)
P. Shah, S. Son and J. S. Kwon, “Development of Offset-Free MPC Framework for Hydraulic Fracturing Process Using Sindy,” AIChE Annual Meeting, paper 644b, Boston, Massachusetts. (2021)
S. Son, H. Choi, J. Moon and J. S. Kwon, “Offset-Free Koopman-Based Model Predictive Control of a Batch Pulp Digester,” AIChE Annual Meeting, paper 644h, Boston, Massachusetts. (2021)
B. Bhadriraju, J. S. Kwon and F. Khan, “Data-Driven Incipient Fault Management for Proton Exchange Membrane Fuel Cell,” AIChE Annual Meeting, paper 749c, Boston, Massachusetts. (2021)
2020
M. S. F. Bangi and J. S. Kwon, “Fast-Convergence of Deep Reinforcement Learning Controller: Application to a Continuous Stirred Tank Reactor”, AIChE 2020 Annual Meeting, paper 108b, San Francisco, California. (2020)
A. Narasingam and J. S. Kwon, “Data-Driven Stabilization of Nonlinear Dynamical Systems: A Koopman Operator Approach”, AIChE 2020 Annual Meeting, paper 172h, San Francisco, California. (2020)
R. Epps, N. Sitapure, A. A. Volk, J. S. Kwon and M. Abolhasani, “Modular Fluidic Microreactor for Fully Decoupled Precursor Mixing and Reaction Times in Mechanistic Studies of Metal Halide Perovskite Quantum Dot Synthesis”, AIChE 2020 Annual Meeting, paper 200f, San Francisco, California. (2020)
S. Liu, B. Bhat, Y. Lin, J. S. Kwon and M. Akbulut, “Interactions of Proppant with Dynamically Complexing, pH-Responsive Viscosity Modifying Agents for Hydraulic Fracture Fluids”, AIChE 2020 Annual Meeting, paper 270f, San Francisco, California. (2020)
A. Narasingam, M. S. F. Bangi and J. S. Kwon, “Deep Learning Based Koopman System Identification of Nonlinear Controlled Systems”, AIChE 2020 Annual Meeting, paper 299c, San Francisco, California. (2020)
Y. Lin, S. Liu, B. Bhat, J. S. Kwon and M. Akbulut, “Proppant Transport with a Reversible and pH Adjustable Supramolecular Material Used As Viscous Fracturing Fluid”, AIChE 2020 Annual Meeting, paper 308f, San Francisco, California. (2020)
S. Liu, Y. Lin, B. Bhat, J. S. Kwon and M. Akbulut, “Dynamic Binary Complexes As Super-Adjustable Viscosity Modifiers for Hydraulic Fracturing Fluids”, AIChE 2020 Annual Meeting, paper 308g, San Francisco, California. (2020)
S. Pahari, M. Akbulut and J. S. Kwon, “Modeling Fracture Propagation and Fluid Flowback in Hydraulic Fractures Created Using High Viscosity Shear Thinning Gels”, AIChE 2020 Annual Meeting, paper 333d, San Francisco, California. (2020)
P. Siddhamshetty, S. Mao, K Wu and J. S. Kwon, “Optimal Proppant Pumping Schedule Design for Hydraulic Fracturing Operation Using a Eulerian-Lagrangian Model”, AIChE 2020 Annual Meeting, paper 333f, San Francisco, California. (2020)
Y. Jo, M. S. F. Bangi, S. Pahari, J. S. Kwon and S. Hwang, “Safe Operation of Floating LNG Tank Via Model Predictive Control”, AIChE 2020 Annual Meeting, paper 340p, San Francisco, California. (2020)
K. Cao, M. El-Halwagi and J. S. Kwon, “Multi-Period Design of Shale Gas Supply Chain Network to Handle Temporal Variability in Wastewater Volume from Shale Gas Wells”, AIChE 2020 Annual Meeting, paper 342j, San Francisco, California. (2020)
S. Pahari, M. Akbulut and J. S. Kwon, “Developing a Closed-Loop Optimum Pumping Sequence with Shear Thinning Fluid for Enhanced Hydraulic Fracturing”, AIChE 2020 Annual Meeting, paper 353c, San Francisco, California. (2020)
P. Shah, D. Lee and J. S. Kwon, “Developing a Hybrid Model of a Biochemical Fermentation Process”, AIChE 2020 Annual Meeting, paper 353d, San Francisco, California. (2020)
P. Bhandakkar, P. Siddhamshetty and J. S. Kwon, “Design of Optimal Multi-Size Proppant Pumping Schedule to Enhance Shale Gas Production”, AIChE 2020 Annual Meeting, paper 399b, San Francisco, California. (2020)
B. Bhadriraju, F. Khan and J. S. Kwon, “When Deep Learning Meets Sparse Model Identification: Online Adaptive Sparse Identification of Systems (OASIS)”, AIChE 2020 Annual Meeting, paper 402c, San Francisco, California. (2020)
D. Lee, A. Jayaraman and J. S. Kwon, “Development of a Hybrid Model to Describe the Dynamics of a Partially Known System”, AIChE 2020 Annual Meeting, paper 403d, San Francisco, California. (2020)
S. Son, A. Narasingam and J. S. Kwon, “An Offset-Free Control Framework for Koopman Lyapunov-Based Model Predictive Control”, AIChE 2020 Annual Meeting, paper 434d, San Francisco, California. (2020)
H. Choi, S. Son and J. S. Kwon, “Multiobjective Control of Fiber Morphology in Pulping Process Via Multiscale Modeling”, AIChE 2020 Annual Meeting, paper 461b, San Francisco, California. (2020)
N. Sitapure, H. Lee, P. B. Balbuena, S. Hwang and J. S. Kwon, “A Comprehensive Investigation of Dendrite Formation in Lithium Anode Batteries: A Computational Approach for Heterogenous SEI”, AIChE 2020 Annual Meeting, paper 461h, San Francisco, California. (2020)
B. Bhat, S. Liu, Y. Lin, J. S. Kwon and M. Akbulut, “Novel pH-Switchable Viscosity Modifiers to Improve Rheology and Cost Efficiency of Hydraulic Fracturing Fluids”, AIChE 2020 Annual Meeting, paper 515d, San Francisco, California. (2020)
H. Choi, S. Son and J. S. Kwon, “Enhancing Glucose Yield By Modeling of Cellulose Accessibility: Application of Model Predictive Control to Alkaline Pretreatment for Bioethanol Production”, AIChE 2020 Annual Meeting, paper 596d, San Francisco, California. (2020)
K. Cao, P. Siddhamshetty, Y. Ahn, M. El-Halwagi and J. S. Kwon, “Spatio-Temporal Distribution of Water Recovery Ratio in Eagle Ford and Marcellus: Its Effect on Shale Gas Supply Chain Network”, AIChE 2020 Annual Meeting, paper 651g, San Francisco, California. (2020)
D. Lee, J. S. Kwon and H. Wu, “Investigation of Hetero-Multivalent Binding Dynamics between Cholera Toxin and Glycolipids on Membranes Via Kinetic Monte Carlo Model and Nanocube-Based Measurements”, AIChE 2020 Annual Meeting, paper 667a, San Francisco, California. (2020)
H. Choi, S. Son and J. S. Kwon, “The Emerging Role of Multiscale Modeling and Process Control to Effectively Handle the Panic-Buying of Toilet Paper amid Coronavirus Pandemic”, AIChE 2020 Annual Meeting, paper 716a, San Francisco, California. (2020)
B. Bhadriraju, F. Khan and J. S. Kwon, “Dynamic Risk Assessment in Chemical Processes Using Sparse Identification and Deep Learning”, AIChE 2020 Annual Meeting, paper 719b, San Francisco, California. (2020)
P. Kumari, Q. Wang and J. S. Kwon, “Root Cause Analysis of Process Faults Using Penalized Piecewise Linear Multiple Birth Support Vector Machine (pPWL-MBSVM)”, AIChE 2020 Annual Meeting, paper 719e, San Francisco, California. (2020)
S. Son, H. Choi and J. S. Kwon, “Handling Fiber-to-Fiber Heterogeneity in Pulp and Paper Industry Via Stochastic Multiscale Modeling and Model Predictive Control”, AIChE 2020 Annual Meeting, paper 744b, San Francisco, California. (2020)
N. Sitapure, R. Epps, M. Abolhasani and J. S. Kwon, “Multiscale Modelling and Model Predictive Control of CsPbBr3 Quantum Dots Production: A Step Towards on-Demand Smart-Nanomanufacturing”, AIChE 2020 Annual Meeting, paper 744e, San Francisco, California. (2020)
2019
J. S. Kwon, “Enhancing Hydraulic Fracturing Productivity Via Model-Based Feedback Control”, AIChE 2019 Annual Meeting, paper 520a, Orlando, Florida. (2019)
Y. Ahn, P. Siddhamshetty, K. Cao and J. S. Kwon, “A Novel Framework for Shale Gas Supply Chain Network Considering MPC-Based Pumping Schedule of Hydraulic Fracturing in Unconventional Reservoirs”, AIChE 2019 Annual Meeting, paper 442c, Orlando, Florida. (2019)
H. Choi and J. S. Kwon, “Multiscale Modeling and Control of Cell Wall Thickness in Batch Pulp Digester”, AIChE 2019 Annual Meeting, paper 29g, Orlando, Florida. (2019)
H. Choi and J. S. Kwon, “Multiscale Modeling of Porosity and Cell Wall Thickness of Wood Chips in Pulp Digester”, AIChE 2019 Annual Meeting, paper 110e, Orlando, Florida. (2019)
A. Narasingam and J. S. Kwon, “An Operator Theoretic Framework for Data-Driven Identification and Control of a Hydraulic Fracturing Process”, AIChE 2019 Annual Meeting, paper 118b, Orlando, Florida. (2019)
D. Lee, Y. Ding, A. Jayaraman and J. S. Kwon, “Integrative Analysis of Free Fatty Acid-Induced NFκB Activation in Macrophages: A Step Towards the Quantitative Understanding of Inflammation Induced By Obesity”, AIChE 2019 Annual Meeting, paper 158g, Orlando, Florida. (2019)
H. Choi and J. S. Kwon, “Multiscale Modeling of Pulp Fiber Length in Batch Pulping Process”, AIChE 2019 Annual Meeting, paper 187d, Orlando, Florida. (2019)
B. V. N. S. Bhadriraju, A. Narasingam and J. S. Kwon, “Online Adaptive Sparse Identification of Systems (OASIS): Application to CSTR”, AIChE 2019 Annual Meeting, paper 193h, Orlando, Florida. (2019)
D. Lee, A. Jayaraman and J. S. Kwon, “Estimation of Probability Density Functions of Model Parameters for a Heterogeneous Population with Neural Network: Application to TNFα Signaling Pathway”, AIChE 2019 Annual Meeting, paper 195h, Orlando, Florida. (2019)
A. Narasingam and J. S. Kwon, “Data-Driven Nonlinear Stabilization Using Operator-Theoretic Lyapunov-Based Model Predictive Control”, AIChE 2019 Annual Meeting, paper 243b, Orlando, Florida. (2019)
D. Sengupta, J. S. Kwon, P. Carlberg, L. M. Camacho, J. F. Brennecke, M. Stadtherr, B. D. Freeman, V. Khanna, R. Vidic and M. El-Halwagi, “Deploying Intensified, Automated, Mobile, Operable, and Novel Designs “Diamond” for Treating Shale Gas Wastewater”, AIChE 2019 Annual Meeting, paper 290e, Orlando, Florida. (2019)
H. Choi, D. Lee, S. Akshi, J. S. Kwon and H. Wu, “The Effect of Heteromultivalency on Lectin-Glycan Binding Process and the Identification of Critical Parameter”, AIChE 2019 Annual Meeting, paper 323g, Orlando, Florida. (2019)
N. Sitapure, T. Qiao, D. Lee, H. Choi, J. S. Kwon and D. H. Son, “Kinetic Monte Carlo Simulation of Anisotropy in CsPbBr3 Nanocrystals”, AIChE 2019 Annual Meeting, paper 349d, Orlando, Florida. (2019)
K. Cao, P. Siddhamshetty, Y. Ahn, R. Mukherjee and J. S. Kwon, “Economic Model-Based Controller Design Framework to Optimize Shale Gas Production and Water Management in Hydraulic Fracturing”, AIChE 2019 Annual Meeting, paper 371ag, Orlando, Florida. (2019)
P. Siddhamshetty , P. Bhandakkar and J. S. Kwon, “Enhancing Total Fracture Surface Area in Naturally Fractured Unconventional Reservoirs Via Model Predictive Control”, AIChE 2019 Annual Meeting, paper 371ak, Orlando, Florida. (2019)
D. Lee, A. Jayaraman and J. S. Kwon, “Time-Varying Model Identification of Nonlinear Systems with Partially Known Model Structure: Application to NFκB Signaling pathway induced by LPS and BFA”, AIChE 2019 Annual Meeting, paper 371p, Orlando, Florida. (2019)
S. Yuan, J. S. Kwon and C. Mashuga, “New Liquid Flammability Rating with the Assist of Machine Learning”, AIChE 2019 Annual Meeting, paper 403e, Orlando, Florida. (2019)
S. Yuan, J. S. Kwon and C. Mashuga, “Aerosol Explosion Studies Using Modified Dust Explosion Apparatus”, AIChE 2019 Annual Meeting, paper 511d, Orlando, Florida. (2019)
J. S. Kwon, “Multiscale Modeling of Pulp and Paper Manufacturing Process”, AIChE 2019 Annual Meeting, paper 588e, Orlando, Florida. (2019)
P. Siddhamshetty and J. S. Kwon, “Handling Microseismic Measurement Uncertainty in Fracture Geometry Control of Hydraulic Fracturing”, AIChE 2019 Annual Meeting, paper 591e, Orlando, Florida. (2019)
M. S. F. Bangi, A. Narasingam, P. Siddhamshetty and J. S. Kwon, “Big Data for Enhanced Reduced Order Modeling: Application to Hydraulic Fracturing,” AIChE 2019 Annual Meeting, paper 672g, Orlando, Florida. (2019)
M. S. F. Bangi, A. Narasingam, P. Siddhamshetty and J. S. Kwon, “Deep Learning Based Hybrid Model of Hydraulic Fracturing Process,” AIChE 2019 Annual Meeting, paper 735e, Orlando, Florida. (2019)
2018
P. Siddhamshetty, K. Wu and J. S. Kwon, “Model predictive control of designs to achieve uniform growth of simultaneously propagating multiple fractures in hydraulic fracturing,” AIChE 2018 Annual Meeting, paper 734e, Pittsburgh, Pennsylvania. (2018)
A. R. Hasan, P. Siddhamshetty, M. S. Mannan, B. Xu, M. Ahammad and J. S. Kwon, “Voluntary oil well ignition as a blowout response: analysis of factors influencing viability,” AIChE 2018 Annual Meeting, paper 733h, Pittsburgh, Pennsylvania. (2018)
P. Siddhamshetty and J. S. Kwon, “Enhancing hydraulic fracturing productivity via model-based feedback control,” AIChE 2018 Annual Meeting, paper 713b, Pittsburgh, Pennsylvania. (2018)
P. Etoughe, P. Siddhamshetty, K. Cao, R. Mukherjee and J. S. Kwon, “Incorporation of sustainability and economic considerations in process control of hydraulic fracturing in unconventional reservoirs,” AIChE 2018 Annual Meeting, paper 681b, Pittsburgh, Pennsylvania. (2018)
H. S. Sidhu, P. Siddhamshetty, A. Narasingam and J. S. Kwon, “Approximate dynamic programming based control of hydraulic fracturing process to achieve uniform proppant concentration level,” AIChE 2018 Annual Meeting, paper 359d, Pittsburgh, Pennsylvania. (2018)
K. Cao, P. Etoughe, R. Mukherjee, D. Sengupta, J. S. Kwon and M. M. El-Halwagi, “Optimal use of thermal membrane distillation for treatment of flowback water,” AIChE 2018 Annual Meeting, paper 304d, Pittsburgh, Pennsylvania. (2018)
P. Siddhamshetty, K. Wu and J. S. Kwon, “Modeling and control of proppant distribution of multi-stage hydraulic fracturing in horizontal wells,” AIChE 2018 Annual Meeting, paper 184q, Pittsburgh, Pennsylvania. (2018)
A. Narasingam and J. S. Kwon, “Simultaneous uncertainty reduction and control of hydraulic fracturing,” AIChE 2018 Annual Meeting, paper 184g, Pittsburgh, Pennsylvania. (2018)
M. S. F. Bangi, H. S. Sidhu, P. Siddhamshetty and J. S. Kwon, “dynamic mode decomposition based model reduction for control of moving boundary problems via approximate dynamic programming,” AIChE 2018 Annual Meeting, paper 183k, Pittsburgh, Pennsylvania. (2018)
D. Lee, H. K. Choi, H. Wu and J. S. Kwon, “Investigating LecA binding mechanisms with a cellular membrane containing multiple types of receptors via kinetic Monte Carlo simulation,” AIChE 2018 Annual Meeting, paper 182I, Pittsburgh, Pennsylvania. (2018)
D. Lee, A. Jayaraman and J. S. Kwon, “Construction of a semi-stochastic intracellular signaling model via global sensitivity analysis and probability density estimation,” AIChE 2018 Annual Meeting, paper 182i, Pittsburgh, Pennsylvania. (2018)
A. Narasingam and J. S. Kwon, “Data-driven identification of interpretable reduced-order models using sparse regression,” AIChE 2018 Annual Meeting, paper 126f, Pittsburgh, Pennsylvania. (2018)
J. L. Dial III and J. S. Kwon, “Resource-constrained scheduling optimization in Starcraft II,” AIChE 2018 Annual Meeting, Pittsburgh, Pennsylvania. (2018)
2017
P. Siddhamshetty and J. S. Kwon, “Optimal flow control for oil production under gas coning conditions in oil-rim reservoirs,” AIChE 2017 Annual Meeting, paper 125e, Minneapolis, Minnesota. (2017)
S. Yuan, J. S. Kwon and M. S. Mannan, “CFD simulation of charged aerosol combustion under high electric field,” AIChE Annual Meeting, paper 188q, Minneapolis, Minnesota. (2017)
D. Lee, J. L. Dial III, J. S. Kwon, A. Singla and H. Wu, “Stochastic modeling of CTB-GM1 binding mechanisms,” AIChE Annual Meeting, paper 254e, Minneapolis, Minnesota. (2017) Best Presentation in Session Award to Dongheon Lee, Session 254
H. S. Sidhu, A. Narasingam, P. Siddhamshetty and J. S. Kwon, “Determination of the optimal number of eigenfunctions in proper orthogonal decomposition based on machine learning,” AIChE Annual Meeting, paper 255d, Minneapolis, Minnesota. (2017)
D. Lee, Y. Ding, A. Jayaraman and J. S. Kwon, “Modeling LPS-induced TNF-α production in macrophages,” AIChE Annual Meeting, paper 343a, Minneapolis, Minnesota. (2017)
D. Lee, A. Singla, H. Wu and J. S. Kwon, “Investigating cholera toxin binding mechanism with gangliosides via kinetic modeling and experimental measurements,” AIChE Annual Meeting, paper 416f, Minneapolis, Minnesota. (2017)
A. Narasingam and J. S. Kwon, “Local dynamic mode decomposition with control: its application to model predictive control of hydraulic fracturing,” AIChE Annual Meeting, paper 711f, Minneapolis, Minnesota. (2017)
P. Siddhamshetty, S. Liu, J. S. Kwon and P. P. Valkó, “handling economic and practical considerations in feedback control of hydraulic fracturing in ultra-low permeability reservoirs,” AIChE Annual Meeting, paper 712d, Minneapolis, Minnesota. (2017)
D. Lee, Y. Ding, A. Jayaraman and J. S. Kwon, “Modeling LPS-induced TNF production in macrophages,” Texas A&M University ENG-LIFE 2017, College Station, Texas. (2017)
D. Lee, Y. Ding, A. Jayaraman and J. S. Kwon, “Modeling LPS-induced TNF production in macrophages,” 2017 Texas System Day, College Station, Texas. (2017)
A. Narasingam and J. S. Kwon, “Model order reduction of distributed parameter systems based on dynamic mode decomposition with control,” 2017 Texas System Day, College Station, Texas. (2017)
P. Siddhamshetty and J. S. Kwon, “Modeling of hydraulic fracturing and designing of online pumping schedules to achieve uniform proppant concentration,” 2017 Texas System Day, College Station, Texas. (2017)
A. Narasingam and J. S. Kwon, “Local dynamic mode decomposition with control: Its application to model predictive control of hydraulic fracturing,” 2017 Texas A&M Conference on Energy, College Station, Texas. (2017) Best Presentation Award
H. S. Sidhu, A. Narasingam, P. Siddhamshetty and J. S. Kwon, “Determination of the optimal number of eigenfunctions in proper orthogonal decomposition based on machine learning,” 2017 Texas A&M Conference on Energy, College Station, Texas. (2017)
P. Siddhamshetty, S. Liu, P. Valkó and J. S. Kwon, “Handling economic and practical considerations in feedback control of hydraulic fracturing in ultra-low permeability reservoirs,” 2017 Texas A&M Conference on Energy, College Station, Texas. (2017)
2016
P. Siddhamshetty, S. Yang and J. S. Kwon, “Modeling and control of proppant bank height to achieve uniformity of a hydraulic fracturing system,”AIChE Annual meeting, paper 247m, San Francisco, California. (2016)
D. Lee, Y. Ding, A. Jayaraman and J. S. Kwon, “Developing a stochastic model of LPS-induced TNF-alpha production in macrophages,”AIChE Annual meeting, paper 341d, San Francisco, California. (2016)
A. Narasingam and J. S. Kwon, “Centroidal voronoi tessellation based model order reduction for a moving boundary problem: Application a hydraulic fracturing system,”AIChE Annual meeting, paper 582a, San Francisco, California. (2016)
C. Curitibba, H. Durand, J. S. Kwon and P. D. Christofides, “Optimal operation of batch enantiomer crystallization: From ternary diagrams to predictive control,”AIChE Annual meeting, paper 597b, San Francisco, California. (2016)
2015
J. S. Kwon, G. Orkoulas and P. D. Christofides, “On multiscale, multidomain modeling and parallel computation: application to crystal shape prediction in crystallization,” AIChE Annual Meeting, paper 453d, Salt Lake City, Utah. (2015)
M. Crose, J. S. Kwon and P. D. Christofides, “Investigation of film porosity and hydrogen content dependence on deposition conditions in a PECVD process using a multiscale model,” AIChE Annual Meeting, paper 546c, Salt Lake City, Utah. (2015)
M. Crose, J. S. Kwon, A. Tran and P. D. Christofides, “Run-to-run control of PECVD of thin film solar cells,” AIChE Annual Meeting, paper 427b, Salt Lake City, Utah. (2015)
J. S. Kwon, M. Nayhouse and P. D. Christofides, “Detection and isolation of batch-to-batch parametric drift in protein crystallization,” AIChE Annual Meeting, paper 663b, Salt Lake City, Utah. (2015)
Before Joining Texas A&M University
~2014
J. S. Kwon, D. Ni, M. Nayhouse, G. Orkoulas and P. D. Christofides, “Run-to-run model predictive control of batch crystallization,” AIChE Annual Meeting, paper 568s, Atlanta, Georgia. (2014)
J. S. Kwon, M. Crose, D. Ni, G. Orkoulas and P. D. Christofides, “Simulation and control of plasma-enhanced chemical vapor deposition (PECVD) process for the manufacturing of silicon thin film solar cells,” AIChE Annual Meeting, paper 729a, Atlanta, Georgia. (2014)
J. S. Kwon, M. Nayhouse, G. Orkoulas and P. D. Christofides, “Protein crystal shape and size control using a plug flow crystallization configuration,” AIChE Annual Meeting, paper 755d, Atlanta, Georgia. (2014) CAST Travel Grant Award
M. Nayhouse, J. S. Kwon, A. Tran, P. D. Christofides and G. Orkoulas, “Modeling, simulation, and control of Ibuprofen crystal shape,” AIChE Annual Meeting, paper 48d, Atlanta, Georgia. (2014). CAST Division Plenary
J. S. Kwon, M. Nayhouse, P. D. Christofides and G. Orkoulas, “Shape control of protein crystal aggregates,” AIChE Annual Meeting, paper 231a, San Francisco, California. (2013)
J. S. Kwon, M. Nayhouse, P. D. Christofides and G. Orkoulas, “Shape control of protein crystals,” AIChE Annual Meeting, paper 747b, Pittsburgh, Pennsylvania. (2012)