Jay H. Lee - RankMe

99 papers A* 1C 11Journal 84Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Joint planning of sustainable hydrogen supply chains and electricity sourcing portfolios: Impacts of hydrogen-demand variability and scale. Comput. Chem. Eng. Sunwoo Kim, Joungho Park, Aqil Jamal, Jay H. Lee
2026	J	`jnl`	Microkinetic insights into the impact of coking in dry reforming of methane. Comput. Chem. Eng. Hye Min Choi, Niket S. Kaisare, Jay H. Lee
2025	J	`jnl`	Bayesian optimization for quick determination of operating variables of simulated moving bed chromatography. Comput. Chem. Eng. Woohyun Jeong, Namjin Jang, Jay H. Lee
2025	A*	`conf`	EARL-BO: Reinforcement Learning for Multi-Step Lookahead, High-Dimensional Bayesian Optimization. ICML Mujin Cheon, Jay H. Lee, Dong-Yeun Koh, Calvin Tsay
2025	J	`jnl`	Extracting key temporal and cyclic features from VIT data to predict lithium-ion battery knee points using attention mechanisms. Comput. Chem. Eng. Jaewook Lee, Seongmin Heo, Jay H. Lee
2025	J	`jnl`	Integrating solid direct air capture systems with green hydrogen production: Economic benefits and curtailment reduction. Comput. Chem. Eng. Sunwoo Kim, Joungho Park, Jay H. Lee
2025	J	`jnl`	Noninvasive inline imaging and computer vision-based quality variable estimation for continuous slug-flow crystallizers. Comput. Chem. Eng. Derrick Adams, Jay H. Lee, Shin Hyuk Kim, Seongmin Heo
2024	J	`jnl`	EARL-BO: Reinforcement Learning for Multi-Step Lookahead, High-Dimensional Bayesian Optimization. CoRR Mujin Cheon, Jay H. Lee, Dong-Yeun Koh, Calvin Tsay
2024	J	`jnl`	Evaluating the Efficiency and Cost-effectiveness of RPB-based CO2 Capture: A Comprehensive Approach to Simultaneous Design and Operating Condition Optimization. CoRR Howoun Jung, Nohjin Park, Jay H. Lee
2024	J	`jnl`	Machine learning in process systems engineering: Challenges and opportunities. Comput. Chem. Eng. Prodromos Daoutidis, Jay H. Lee, Srinivas Rangarajan, Leo Chiang, R. Bhushan Gopaluni, Artur M. Schweidtmann, Iiro Harjunkoski, Mehmet Mercangöz, Ali Mesbah, Fani Boukouvala, Fernando V. Lima, Ehecatl Antonio del Rio-Chanona, Christos Georgakis
2024	J	`jnl`	Multi-technology co-optimization approach for sustainable hydrogen and electricity supply chains considering variability and demand scale. CoRR Sunwoo Kim, Joungho Park, Jay H. Lee
2024	J	`jnl`	Non-myopic Bayesian optimization using model-free reinforcement learning and its application to optimization in electrochemistry. Comput. Chem. Eng. Mujin Cheon, Ha-Eun Byun, Jay H. Lee
2023	J	`jnl`	Attention Mechanism for Lithium-Ion Battery Lifespan Prediction: Temporal and Cyclic Attention. CoRR Jaewook Lee, Seongmin Heo, Jay H. Lee
2023	J	`jnl`	Electrification of CO Comput. Chem. Eng. Wonsuk Chung, Woohyun Jeong, Jaeseo Lee, Junehyeok Kim, Kosan Roh, Jay H. Lee
2023	J	`jnl`	Embedding active learning in batch-to-batch optimization using reinforcement learning. Autom. Ha-Eun Byun, Boeun Kim, Jay H. Lee
2023	J	`jnl`	Flexible operation of Post-combustion CO Comput. Chem. Eng. Howoun Jung, Jay H. Lee
2023	J	`jnl`	Identification of sustainable carbon capture and utilization (CCU) pathways using state-task network representation. Comput. Chem. Eng. Wonsuk Chung, Sunwoo Kim, Ali S. Al Hunaidy, Hasan Imran, Aqil Jamal, Jay H. Lee
2023	J	`jnl`	Optimal design of offshore wind power farm in high resolution using geographical information system. Comput. Chem. Eng. Sunwoo Kim, Seongwhan Kang, Jay H. Lee
2023	J	`jnl`	Stochastic programming of energy system operations considering terminal energy storage levels. Comput. Chem. Eng. Teemu J. Ikonen, Dongho Han, Jay H. Lee, Iiro Harjunkoski
2022	J	`jnl`	CFD analysis and scale up of a baffled membrane reactor for hydrogen production by steam methane reforming. Comput. Chem. Eng. Hongbum Choi, Shin Hyuk Kim, Joongmyeon Bae, Sai P. R. Katikaneni, Aqil Jamal, Aadesh Harale, Stephen N. Paglieri, Jay H. Lee
2022	J	`jnl`	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. Yo Sung Yoon, Woohyun Jeong, Jaeyong Kim, Mingyun Seok, Junsoo Park, Jaemin Bae, Kyungmin Lee, Jay H. Lee
2022	C	`conf`	Model predictive control of fiber deformation in a batch pulp digester. ACC Juyeong Jung, Hyun-Kyu Choi, Sang Hwan Son, Joseph Sang-Il Kwon, Jay H. Lee
2022	J	`jnl`	Multi-step lookahead Bayesian optimization with active learning using reinforcement learning and its application to data-driven batch-to-batch optimization. Comput. Chem. Eng. Ha-Eun Byun, Boeun Kim, Jay H. Lee
2022	J	`jnl`	Multiscale modeling of fiber deformation: Application to a batch pulp digester for model predictive control of fiber strength. Comput. Chem. Eng. Juyeong Jung, Hyun-Kyu Choi, Sang Hwan Son, Joseph Sang-Il Kwon, Jay H. Lee
2022	J	`jnl`	RD-toolbox: A computer aided toolbox for integrated design and control of reactive distillation processes. Comput. Chem. Eng. Ashfaq Iftakher, David A. Liñán, Seyed Soheil Mansouri, Ahaduzzaman Nahid, M. M. Faruque Hasan, M. A. A. Shoukat Choudhury, Luis A. Ricardez-Sandoval, Jay H. Lee
2021	J	`jnl`	Erratum to "Forty years of computers & chemical engineering: A bibliometric analysis" [Computers & Chemical Engineering 141 (2020) 106978]. Comput. Chem. Eng. Nikunja Mohan Modak, Jay H. Lee, José M. Merigó
2021	J	`jnl`	Multi-scale fluid dynamics simulation based on MP-PIC-PBE method for PMMA suspension polymerization. Comput. Chem. Eng. Shin Hyuk Kim, Jay H. Lee, Richard D. Braatz
2021	J	`jnl`	Process systems engineering - Comput. Chem. Eng. Efstratios N. Pistikopoulos, Ana Barbosa-Póvoa, Jay H. Lee, Ruth Misener, Alexander Mitsos, Gintaras V. Reklaitis, Venkat Venkatasubramanian, Fengqi You, Rafiqul Gani
2021	J	`jnl`	Reinforcement learning based optimal control of batch processes using Monte-Carlo deep deterministic policy gradient with phase segmentation. Comput. Chem. Eng. Haeun Yoo, Boeun Kim, Jong Woo Kim, Jay H. Lee
2021	J	`jnl`	Reinforcement learning for batch process control: Review and perspectives. Annu. Rev. Control. Haeun Yoo, Ha-Eun Byun, Dongho Han, Jay H. Lee
2020	J	`jnl`	An investigation into the hydrodynamics of a spinning cone column: CFD simulations by an Eulerian-Lagrangian approach. Comput. Chem. Eng. Seongwoong Bae, Shin Hyuk Kim, Jay H. Lee
2020	J	`jnl`	Dynamic analysis and linear model predictive control for operational flexibility of post-combustion CO Comput. Chem. Eng. Howoun Jung, Dasom Im, Seongmin Heo, Boeun Kim, Jay H. Lee
2020	J	`jnl`	Dynamic penalty function approach for constraints handling in reinforcement learning. CoRR Haeun Yoo, Victor M. Zavala, Jay H. Lee
2020	J	`jnl`	Forty years of computers & chemical engineering: A bibliometric analysis. Comput. Chem. Eng. Nikunja Mohan Modak, Valeria Lobos-Ossandón, José M. Merigó, Bogdan Gabrys, Jay H. Lee
2020	J	`jnl`	Isotherm parameter library and evaluation software for CO Comput. Chem. Eng. Seongbin Ga, Sangwon Lee, Jihan Kim, Jay H. Lee
2020	J	`jnl`	Modeling, simulation and optimization of the rotating packed bed (RPB) absorber and stripper for MEA-based carbon capture. Comput. Chem. Eng. Dasom Im, Howoun Jung, Jay H. Lee
2020	J	`jnl`	Multi-objective optimization of operation of lignocellulosic acetone-butanol-ethanol fermentation with ex situ butanol recovery (ESBR). Comput. Chem. Eng. Ha-Eun Byun, Boeun Kim, Jongkoo Lim, Jay H. Lee
2020	J	`jnl`	Multi-phase particle-in-cell coupled with population balance equation (MP-PIC-PBE) method for multiscale computational fluid dynamics simulation. Comput. Chem. Eng. Shin Hyuk Kim, Jay H. Lee, Richard D. Braatz
2020	—	`conf`	Robust Dual Control of Batch Processes with Parametric Uncertainty using Proximal Policy Optimization. CDC Ha-Eun Byun, Boeun Kim, Jay H. Lee
2019	J	`jnl`	A model-based optimization of microalgal cultivation strategies for lipid production under photoautotrophic condition. Comput. Chem. Eng. Kyung Hwan Ryu, Boeun Kim, Jay H. Lee
2019	J	`jnl`	Integrated scheduling of vessel dispatching and port operations in the closed-loop shipping system for transporting petrochemicals. Comput. Chem. Eng. Heungjo An, Sangdo (Sam) Choi, Jay H. Lee
2019	J	`jnl`	Multi-timescale, multi-period decision-making model development by combining reinforcement learning and mathematical programming. Comput. Chem. Eng. Joohyun Shin, Jay H. Lee
2019	J	`jnl`	Optimal design of heat and water recovery system utilizing waste flue gases for refinery CO Comput. Chem. Eng. Haeun Yoo, Kosan Roh, Ali S. Al Hunaidy, Hasan Imran, Jay H. Lee
2019	J	`jnl`	Parallel neural networks for improved nonlinear principal component analysis. Comput. Chem. Eng. Seongmin Heo, Jay H. Lee
2019	J	`jnl`	Reinforcement Learning - Overview of recent progress and implications for process control. Comput. Chem. Eng. Joohyun Shin, Thomas A. Badgwell, Kuang-Hung Liu, Jay H. Lee
2018	J	`jnl`	An optimization based strategy for crude selection in a refinery with lube hydro-processing. Comput. Chem. Eng. Kyungseok Noh, Joohyun Shin, Jay H. Lee
2018	—	`conf`	Improved Parameter Estimation of Ill-Conditioned Problems. CDC Boeun Kim, Jay H. Lee
2018	J	`jnl`	Integrating operations and control: A perspective and roadmap for future research. Comput. Chem. Eng. Prodromos Daoutidis, Jay H. Lee, Iiro Harjunkoski, Sigurd Skogestad, Michael Baldea, Christos Georgakis
2018	J	`jnl`	Machine learning: Overview of the recent progresses and implications for the process systems engineering field. Comput. Chem. Eng. Jay H. Lee, Joohyun Shin, Matthew J. Realff
2017	J	`jnl`	New performance indicators for adsorbent evaluation derived from a reduced order model of an idealized PSA process for CO Comput. Chem. Eng. Seongbin Ga, Hong Jang, Jay H. Lee
2016	J	`jnl`	A methodology for the sustainable design and implementation strategy of CO Comput. Chem. Eng. Kosan Roh, Rebecca Frauzem, Tuan B. H. Nguyen, Rafiqul Gani, Jay H. Lee
2016	J	`jnl`	Multi-time scale procurement planning considering multiple suppliers and uncertainty in supply and demand. Comput. Chem. Eng. Joohyun Shin, Jay H. Lee
2016	J	`jnl`	Optimal design for flexible operation of the post-combustion CO Comput. Chem. Eng. Muhammad Zaman, Hong Jang, Muhammad Rizwan, Jay H. Lee
2016	J	`jnl`	Regularized maximum likelihood estimation of sparse stochastic monomolecular biochemical reaction networks. Comput. Chem. Eng. Hong Jang, Kwang-Ki K. Kim, Richard D. Braatz, R. Bhushan Gopaluni, Jay H. Lee
2016	—	`conf`	Stochastic optimization with value function approximation for micro-grid operation. CDC Joohyun Shin, Jay H. Lee, Matthew J. Realff
2015	J	`jnl`	Optimal processing pathway selection for microalgae-based biorefinery under uncertainty. Comput. Chem. Eng. Muhammad Rizwan, Muhammad Zaman, Jay H. Lee, Rafiqul Gani
2015	J	`jnl`	Optimization of the various modes of flexible operation for post-combustion CO Comput. Chem. Eng. Muhammad Zaman, Jay H. Lee
2015	J	`jnl`	Two stage stochastic bilevel programming model of a pre-established timberlands supply chain with biorefinery investment interests. Comput. Chem. Eng. Kevin Yeh, Craig Whittaker, Matthew J. Realff, Jay H. Lee
2014	J	`jnl`	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. Kevin Yeh, Matthew J. Realff, Jay H. Lee, Craig Whittaker
2014	J	`jnl`	Fast moving horizon estimation for a two-dimensional distributed parameter system. Comput. Chem. Eng. Hong Jang, Jay H. Lee, Richard D. Braatz, Kwang Ki Kevin Kim
2014	J	`jnl`	From robust model predictive control to stochastic optimal control and approximate dynamic programming: A perspective gained from a personal journey. Comput. Chem. Eng. Jay H. Lee
2014	C	`conf`	Sparse identification in chemical master equations for monomolecular reaction networks. ACC Kwang Ki Kevin Kim, Hong Jang, R. Bhushan Gopaluni, Jay H. Lee, Richard D. Braatz
2014	J	`jnl`	Special issue in Honor of Manfred Morari's 60th Birthday. Comput. Chem. Eng. Richard D. Braatz, Jay H. Lee
2013	J	`jnl`	MILP based value backups in partially observed Markov decision processes (POMDPs) with very large or continuous action and observation spaces. Comput. Chem. Eng. Rakshita Agrawal, Matthew J. Realff, Jay H. Lee
2013	J	`jnl`	Optimal processing pathway for the production of biodiesel from microalgal biomass: A superstructure based approach. Comput. Chem. Eng. Muhammad Rizwan, Jay H. Lee, Rafiqul Gani
2012	J	`jnl`	Genome-scale metabolic model of the fission yeast Schizosaccharomyces pombe and the reconciliation of in silico/in vivo mutant growth. BMC Syst. Biol. Seung Sohn, Tae Kim, Jay H. Lee, Sang Lee
2011	J	`jnl`	Optimal design and global sensitivity analysis of biomass supply chain networks for biofuels under uncertainty. Comput. Chem. Eng. Jinkyung Kim, Matthew J. Realff, Jay H. Lee
2009	J	`jnl`	Controlled exploration of state space in off-line ADP and its application to stochastic shortest path problems. Comput. Chem. Eng. Nikolaos E. Pratikakis, Matthew J. Realff, Jay H. Lee
2009	J	`jnl`	Editorial note. Comput. Chem. Eng. Rafiqul Gani, Andy Hrymak, Jay H. Lee, Venkat Venkatasubramanian
2008	C	`conf`	A reinforcement learning-based scheme for adaptive optimal control of linear stochastic systems. ACC Wee Chin Wong, Jay H. Lee
2006	J	`jnl`	Approximate dynamic programming based approach to process control and scheduling. Comput. Chem. Eng. Jay H. Lee, Jong Min Lee
2006	J	`jnl`	Identifying the interacting positions of a protein using Boolean learning and support vector machines. Comput. Biol. Chem. Anshul Dubey, Matthew J. Realff, Jay H. Lee, Andreas S. Bommarius
2005	J	`jnl`	Approximate dynamic programming-based approaches for input-output data-driven control of nonlinear processes. Autom. Jong Min Lee, Jay H. Lee
2005	J	`jnl`	Optimal control of a fed-batch bioreactor using simulation-based approximate dynamic programming. IEEE Trans. Control. Syst. Technol. Catalina Valencia Peroni, Niket S. Kaisare, Jay H. Lee
2004	J	`jnl`	An algorithmic framework for improving heuristic solutions: Part I. A deterministic discount coupon traveling salesman problem. Comput. Chem. Eng. Jaein Choi, Matthew J. Realff, Jay H. Lee
2004	J	`jnl`	An algorithmic framework for improving heuristic solutions: Part II. A new version of the stochastic traveling salesman problem. Comput. Chem. Eng. Jaein Choi, Jay H. Lee, Matthew J. Realff
2004	J	`jnl`	An introduction to a dynamic plant-wide optimization strategy for an integrated plant. Comput. Chem. Eng. Thidarat Tosukhowong, Jong Min Lee, Jay H. Lee, Joseph Lu
2004	J	`jnl`	Dynamic programming in a heuristically confined state space: a stochastic resource-constrained project scheduling application. Comput. Chem. Eng. Jaein Choi, Matthew J. Realff, Jay H. Lee
2004	C	`conf`	Empirical model based control of nonlinear processes using approximate dynamic programming. ACC Jong Min Lee, Jay H. Lee
2004	C	`conf`	Real-time economic optimization for an integrated plant via a dynamic optimization scheme. ACC Thidarat Tosukhowong, Jay H. Lee
2003	C	`conf`	Java applet modules for undergraduate process control education. ACC Dae Ryook Yang, Jay H. Lee
2003	C	`conf`	Robust forecasts and run-to-run control for processes with linear drifts. ACC Swathy Ramaswamy, Jay H. Lee
2002	J	`jnl`	On the use of constraints in least squares estimation and control. Autom. Douglas G. Robertson, Jay H. Lee
2002	C	`conf`	Process monitoring of continuous processes with periodic operation patterns. ACC Yangdong Pan, ChangKyoo Yoo, Jay H. Lee, In-Beum Lee
2002	C	`conf`	Run-to-run control of multidimensional crystal size distribution in a batch crystallizer. ACC Kangwook Lee, Jay H. Lee, Mitsuko Fujiwara, David L. Ma, Richard D. Braatz
2001	J	`jnl`	Constrained linear state estimation - a moving horizon approach. Autom. Christopher V. Rao, James B. Rawlings, Jay H. Lee
2001	J	`jnl`	Control-relevant experiment design for multivariable systems described by expansions in orthonormal bases. Autom. Brian L. Cooley, Jay H. Lee
2000	J	`jnl`	Convergence of constrained model-based predictive control for batch processes. IEEE Trans. Autom. Control. Kwang S. Lee, Jay H. Lee
2000	C	`conf`	LMI-based optimal design of test signals for control-relevant system identification. ACC Jay H. Lee, Yudi Samyudia
2000	J	`jnl`	Min-max predictive control techniques for a linear state-space system with a bounded set of input matrices. Autom. Jay H. Lee, Brian L. Cooley
2000	J	`jnl`	Model-based iterative learning control with a quadratic criterion for time-varying linear systems. Autom. Jay H. Lee, Kwang S. Lee, Won C. Kim
2000	C	`conf`	Recursive data-based prediction and control of product quality for a batch PMMA reactor. ACC Yangdong Pan, Jay H. Lee
1998	J	`jnl`	A method for the estimation of infrequent abrupt changes in nonlinear systems. Autom. Douglas G. Robertson, Jay H. Lee
1998	J	`jnl`	Optimal feedback control strategies for state-space systems with stochastic parameters. IEEE Trans. Autom. Control. Jay H. Lee, Brian L. Cooley
1997	J	`jnl`	Control structure selection and robust control system design for a high-purity distillation column. IEEE Trans. Control. Syst. Technol. Jay H. Lee, Parthasarathy Kesavan, Manfred Morari
1997	J	`jnl`	Worst-case formulations of model predictive control for systems with bounded parameters. Autom. Jay H. Lee, Zhenghong Yu
1995	J	`jnl`	Screening tools for robust control structure selection. Autom. Jay H. Lee, Richard D. Braatz, Manfred Morari, Andrew K. Packard
1994	J	`jnl`	State-space interpretation of model predictive control. Autom. Jay H. Lee, Manfred Morari, Carlos E. Garcia
1991	J	`jnl`	Robust measurement selection. Autom. Jay H. Lee, Manfred Morari