"Techno-Economic Assessment and Feature Importance Analysis of Gas Hydrate-Based Carbon Capture Processes"

H. M. Park, J. M. Lee*, T. H. Oh* , Energy , 327 , 136260

"Probability Density Function-based Stochastic Nonlinear Model Predictive Control using Fokker-Planck Equation"

T. H. Oh, J. W. Kim, Y. Kim, and J. M. Lee* , Automatica (under revision)

"Bayesian Optimization with Search Space Movement for Cooling Crystallization Process"

T. H. Oh*, K. Kato,  K. Sotowa,  O. Tonomura  , Computers & Chemical Engineering (under revision)

"Model-based Safe Reinforcement Learning for Nonlinear Systems under Uncertainty with Constraints Tightening Approach"

 Y. Kim, and T. H. Oh* , Computers & Chemical Engineering

"Quantitative comparison of reinforcement learning and data-driven model predictive control for chemical and biological processes"

T. H. Oh* ,  Computers & Chemical Engineering , 181 , 108558

"Continuous Preparation of Fe3O4 Nanoparticles with Narrow Size Distribution by Partial Oxidation Coprecipitation of F e2+ Ions in Microchannels"

X. Jiang, K. Sotowa*, S. Li, T. H. Oh, and O. Tonomura ,  Industrial & Engineering Chemistry Research , 471 , 144546

"Investigation of mass transfer in valve controlled gas–liquid segmented flow"

X. Jiang, K. Sotowa*, O. Tonomura, and T. H. Oh , Chemical Engineering and Processing – Process Intensification , 194 , 109578

"High throughput continuous synthesis of size-controlled nanoFe3O4 in segmented flow"

X. Jiang, S. Li, K. Sotowa*, O. Tonomura, and T. H. Oh , Chemical Engineering Journal , 471 , 144546

"Integrating Path Integral Control With Backstepping Control to Regulate Stochastic System"

T. H. Oh, S. Bae, J. W. Kim, Y. Kim, and J. M. Lee* , International Journal of Control,Automation and Systems , 21 , 2124–2138

"Multi-strategy Control to Extend the Feasibility Region for Robust Model Predictive Control"

T. H. Oh, J. W. Kim, S. H. Son, D. H. Jeong, and J. M. Lee* ,  Journal of Process Control , 116 , 25–33

"Integration of Reinforcement Learning and Model Predictive Control to Optimize Semi-batch Bioreactor"

T. H. Oh, H. M. Park, J. W. Kim, and J. M. Lee* , Integration of Reinforcement Learning and Model Predictive Control to Optimize Semi-batch Bioreactor , 68 / no. 6 , e17658

"Primal–dual Differential Dynamic Programming: A Model-based Reinforcement Learning for Constrained Dynamic Optimization"

J. W. Kim, T. H. Oh, S. H. Son, and J. M. Lee* , Computers & Chemical Engineering , 167 , 108004

"Learning of Model-plant Mis-match Map via Neural Network Modeling and Its Application to Offset-free Model Predictive Control"

S. H. Son, J. W. Kim, T. H. Oh, D. H. Jeong, and J. M. Lee* , Journal of Process Control , 115 , 112-122

"Automatic Control of Simulated Moving Bed Process with Deep Q-network"

T. H. Oh, J. W. Kim, S. H. Son, H. Kim, K. Lee, and J. M. Lee* , Journal of Chromatography A , 1647 , 462073

"Move Blocked Model Predictive Control with Guaranteed Stability and Improved Optimality using Linear Interpolation of Base Sequences"

S. H. Son, B. J. Park, T. H. Oh, J. W. Kim, and J. M. Lee* , International Journal of Control , 94, no. 11 , 3213–3225