Jay H. Lee
Orcid: 0000-0001-6134-6118
According to our database1,
Jay H. Lee
authored at least 88 papers
between 1991 and 2024.
Collaborative distances:
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Bibliography
2024
Comput. Chem. Eng., February, 2024
Evaluating the Efficiency and Cost-effectiveness of RPB-based CO2 Capture: A Comprehensive Approach to Simultaneous Design and Operating Condition Optimization.
CoRR, 2024
2023
Flexible operation of Post-combustion CO<sub>2</sub> capture process enabled by NARX-MPC using neural network.
Comput. Chem. Eng., November, 2023
Stochastic programming of energy system operations considering terminal energy storage levels.
Comput. Chem. Eng., November, 2023
Embedding active learning in batch-to-batch optimization using reinforcement learning.
Autom., November, 2023
Identification of sustainable carbon capture and utilization (CCU) pathways using state-task network representation.
Comput. Chem. Eng., October, 2023
Optimal design of offshore wind power farm in high resolution using geographical information system.
Comput. Chem. Eng., June, 2023
Electrification of CO<sub>2</sub> conversion into chemicals and fuels: Gaps and opportunities in process systems engineering.
Comput. Chem. Eng., February, 2023
Attention Mechanism for Lithium-Ion Battery Lifespan Prediction: Temporal and Cyclic Attention.
CoRR, 2023
2022
Development of inferential sensor and real-time optimizer for a vacuum distillation unit by recurrent neural network modeling of time series data.
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
RD-toolbox: A computer aided toolbox for integrated design and control of reactive distillation processes.
Comput. Chem. Eng., 2022
CFD analysis and scale up of a baffled membrane reactor for hydrogen production by steam methane reforming.
Comput. Chem. Eng., 2022
Multi-step lookahead Bayesian optimization with active learning using reinforcement learning and its application to data-driven batch-to-batch optimization.
Comput. Chem. Eng., 2022
Proceedings of the American Control Conference, 2022
2021
Reinforcement learning based optimal control of batch processes using Monte-Carlo deep deterministic policy gradient with phase segmentation.
Comput. Chem. Eng., 2021
Erratum to "Forty years of computers & chemical engineering: A bibliometric analysis" [Computers & Chemical Engineering 141 (2020) 106978].
Comput. Chem. Eng., 2021
Multi-scale fluid dynamics simulation based on MP-PIC-PBE method for PMMA suspension polymerization.
Comput. Chem. Eng., 2021
Annu. Rev. Control., 2021
2020
Dynamic penalty function approach for constraints handling in reinforcement learning.
CoRR, 2020
Comput. Chem. Eng., 2020
Multi-phase particle-in-cell coupled with population balance equation (MP-PIC-PBE) method for multiscale computational fluid dynamics simulation.
Comput. Chem. Eng., 2020
Dynamic analysis and linear model predictive control for operational flexibility of post-combustion CO<sub>2</sub> capture processes.
Comput. Chem. Eng., 2020
Modeling, simulation and optimization of the rotating packed bed (RPB) absorber and stripper for MEA-based carbon capture.
Comput. Chem. Eng., 2020
Isotherm parameter library and evaluation software for CO<sub>2</sub> capture adsorbents.
Comput. Chem. Eng., 2020
Multi-objective optimization of operation of lignocellulosic acetone-butanol-ethanol fermentation with ex situ butanol recovery (ESBR).
Comput. Chem. Eng., 2020
An investigation into the hydrodynamics of a spinning cone column: CFD simulations by an Eulerian-Lagrangian approach.
Comput. Chem. Eng., 2020
Robust Dual Control of Batch Processes with Parametric Uncertainty using Proximal Policy Optimization.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
2019
Optimal design of heat and water recovery system utilizing waste flue gases for refinery CO<sub>2</sub> reduction.
Comput. Chem. Eng., 2019
Multi-timescale, multi-period decision-making model development by combining reinforcement learning and mathematical programming.
Comput. Chem. Eng., 2019
Reinforcement Learning - Overview of recent progress and implications for process control.
Comput. Chem. Eng., 2019
A model-based optimization of microalgal cultivation strategies for lipid production under photoautotrophic condition.
Comput. Chem. Eng., 2019
Comput. Chem. Eng., 2019
Integrated scheduling of vessel dispatching and port operations in the closed-loop shipping system for transporting petrochemicals.
Comput. Chem. Eng., 2019
2018
An optimization based strategy for crude selection in a refinery with lube hydro-processing.
Comput. Chem. Eng., 2018
Machine learning: Overview of the recent progresses and implications for the process systems engineering field.
Comput. Chem. Eng., 2018
Comput. Chem. Eng., 2018
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
2017
New performance indicators for adsorbent evaluation derived from a reduced order model of an idealized PSA process for CO<sub>2</sub> capture.
Comput. Chem. Eng., 2017
2016
Optimal design for flexible operation of the post-combustion CO<sub>2</sub> capture plant with uncertain economic factors.
Comput. Chem. Eng., 2016
Multi-time scale procurement planning considering multiple suppliers and uncertainty in supply and demand.
Comput. Chem. Eng., 2016
A methodology for the sustainable design and implementation strategy of CO<sub>2</sub> utilization processes.
Comput. Chem. Eng., 2016
Regularized maximum likelihood estimation of sparse stochastic monomolecular biochemical reaction networks.
Comput. Chem. Eng., 2016
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
2015
Optimization of the various modes of flexible operation for post-combustion CO<sub>2</sub> capture plant.
Comput. Chem. Eng., 2015
Two stage stochastic bilevel programming model of a pre-established timberlands supply chain with biorefinery investment interests.
Comput. Chem. Eng., 2015
Optimal processing pathway selection for microalgae-based biorefinery under uncertainty.
Comput. Chem. Eng., 2015
2014
Analysis and comparison of single period single level and bilevel programming representations of a pre-existing timberlands supply chain with a new biorefinery facility.
Comput. Chem. Eng., 2014
From robust model predictive control to stochastic optimal control and approximate dynamic programming: A perspective gained from a personal journey.
Comput. Chem. Eng., 2014
Comput. Chem. Eng., 2014
Sparse identification in chemical master equations for monomolecular reaction networks.
Proceedings of the American Control Conference, 2014
2013
Optimal processing pathway for the production of biodiesel from microalgal biomass: A superstructure based approach.
Comput. Chem. Eng., 2013
MILP based value backups in partially observed Markov decision processes (POMDPs) with very large or continuous action and observation spaces.
Comput. Chem. Eng., 2013
2012
Genome-scale metabolic model of the fission yeast Schizosaccharomyces pombe and the reconciliation of in silico/in vivo mutant growth.
BMC Syst. Biol., 2012
2011
Optimal design and global sensitivity analysis of biomass supply chain networks for biofuels under uncertainty.
Comput. Chem. Eng., 2011
2009
Controlled exploration of state space in off-line ADP and its application to stochastic shortest path problems.
Comput. Chem. Eng., 2009
2008
A reinforcement learning-based scheme for adaptive optimal control of linear stochastic systems.
Proceedings of the American Control Conference, 2008
2006
Comput. Chem. Eng., 2006
Identifying the interacting positions of a protein using Boolean learning and support vector machines.
Comput. Biol. Chem., 2006
2005
Optimal control of a fed-batch bioreactor using simulation-based approximate dynamic programming.
IEEE Trans. Control. Syst. Technol., 2005
Approximate dynamic programming-based approaches for input-output data-driven control of nonlinear processes.
Autom., 2005
2004
An introduction to a dynamic plant-wide optimization strategy for an integrated plant.
Comput. Chem. Eng., 2004
An algorithmic framework for improving heuristic solutions: Part I. A deterministic discount coupon traveling salesman problem.
Comput. Chem. Eng., 2004
Dynamic programming in a heuristically confined state space: a stochastic resource-constrained project scheduling application.
Comput. Chem. Eng., 2004
An algorithmic framework for improving heuristic solutions: Part II. A new version of the stochastic traveling salesman problem.
Comput. Chem. Eng., 2004
Real-time economic optimization for an integrated plant via a dynamic optimization scheme.
Proceedings of the 2004 American Control Conference, 2004
Empirical model based control of nonlinear processes using approximate dynamic programming.
Proceedings of the 2004 American Control Conference, 2004
2003
Proceedings of the American Control Conference, 2003
Proceedings of the American Control Conference, 2003
2002
Proceedings of the American Control Conference, 2002
Run-to-run control of multidimensional crystal size distribution in a batch crystallizer.
Proceedings of the American Control Conference, 2002
2001
Control-relevant experiment design for multivariable systems described by expansions in orthonormal bases.
Autom., 2001
2000
IEEE Trans. Autom. Control., 2000
Model-based iterative learning control with a quadratic criterion for time-varying linear systems.
Autom., 2000
Min-max predictive control techniques for a linear state-space system with a bounded set of input matrices.
Autom., 2000
Recursive data-based prediction and control of product quality for a batch PMMA reactor.
Proceedings of the American Control Conference, 2000
Proceedings of the American Control Conference, 2000
1998
Optimal feedback control strategies for state-space systems with stochastic parameters.
IEEE Trans. Autom. Control., 1998
Autom., 1998
1997
Control structure selection and robust control system design for a high-purity distillation column.
IEEE Trans. Control. Syst. Technol., 1997
Worst-case formulations of model predictive control for systems with bounded parameters.
Autom., 1997
1995
1994
1991