default search action
Jay H. Lee
- > Home > Persons > Jay H. Lee
Publications
- 2024
- [j73]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:
Machine learning in process systems engineering: Challenges and opportunities. Comput. Chem. Eng. 181: 108523 (2024) - [j72]Mujin Cheon, Ha-Eun Byun, Jay H. Lee:
Non-myopic Bayesian optimization using model-free reinforcement learning and its application to optimization in electrochemistry. Comput. Chem. Eng. 184: 108624 (2024) - [i4]Howoun Jung, Nohjin Park, Jay H. Lee:
Evaluating the Efficiency and Cost-effectiveness of RPB-based CO2 Capture: A Comprehensive Approach to Simultaneous Design and Operating Condition Optimization. CoRR abs/2403.08244 (2024) - [i3]Sunwoo Kim, Joungho Park, Jay H. Lee:
Multi-technology co-optimization approach for sustainable hydrogen and electricity supply chains considering variability and demand scale. CoRR abs/2406.00669 (2024) - 2023
- [j71]Ha-Eun Byun, Boeun Kim, Jay H. Lee:
Embedding active learning in batch-to-batch optimization using reinforcement learning. Autom. 157: 111260 (2023) - [j70]Wonsuk Chung, Woohyun Jeong, Jaeseo Lee, Junehyeok Kim, Kosan Roh, Jay H. Lee:
Electrification of CO2 conversion into chemicals and fuels: Gaps and opportunities in process systems engineering. Comput. Chem. Eng. 170: 108106 (2023) - [j69]Sunwoo Kim, Seongwhan Kang, Jay H. Lee:
Optimal design of offshore wind power farm in high resolution using geographical information system. Comput. Chem. Eng. 174: 108253 (2023) - [j68]Wonsuk Chung, Sunwoo Kim, Ali S. Al Hunaidy, Hasan Imran, Aqil Jamal, Jay H. Lee:
Identification of sustainable carbon capture and utilization (CCU) pathways using state-task network representation. Comput. Chem. Eng. 178: 108408 (2023) - [j67]Howoun Jung, Jay H. Lee:
Flexible operation of Post-combustion CO2 capture process enabled by NARX-MPC using neural network. Comput. Chem. Eng. 179: 108447 (2023) - [j66]Teemu J. Ikonen, Dongho Han, Jay H. Lee, Iiro Harjunkoski:
Stochastic programming of energy system operations considering terminal energy storage levels. Comput. Chem. Eng. 179: 108449 (2023) - [i2]Jaewook Lee, Seongmin Heo, Jay H. Lee:
Attention Mechanism for Lithium-Ion Battery Lifespan Prediction: Temporal and Cyclic Attention. CoRR abs/2311.10792 (2023) - 2022
- [j65]Juyeong Jung, Hyun-Kyu Choi, Sang Hwan Son, Joseph Sang-Il Kwon, Jay H. Lee:
Multiscale modeling of fiber deformation: Application to a batch pulp digester for model predictive control of fiber strength. Comput. Chem. Eng. 158: 107640 (2022) - [j64]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:
RD-toolbox: A computer aided toolbox for integrated design and control of reactive distillation processes. Comput. Chem. Eng. 164: 107869 (2022) - [j63]Hongbum Choi, Shin Hyuk Kim, Joongmyeon Bae, Sai P. R. Katikaneni, Aqil Jamal, Aadesh Harale, Stephen N. Paglieri, Jay H. Lee:
CFD analysis and scale up of a baffled membrane reactor for hydrogen production by steam methane reforming. Comput. Chem. Eng. 165: 107912 (2022) - [j62]Ha-Eun Byun, Boeun Kim, Jay H. Lee:
Multi-step lookahead Bayesian optimization with active learning using reinforcement learning and its application to data-driven batch-to-batch optimization. Comput. Chem. Eng. 167: 107987 (2022) - [j61]Yo Sung Yoon, Woohyun Jeong, Jaeyong Kim, Mingyun Seok, Junsoo Park, Jaemin Bae, Kyungmin Lee, Jay H. Lee:
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. 168: 108039 (2022) - [c14]Juyeong Jung, Hyun-Kyu Choi, Sang Hwan Son, Joseph Sang-Il Kwon, Jay H. Lee:
Model predictive control of fiber deformation in a batch pulp digester. ACC 2022: 2491-2496 - 2021
- [j60]Haeun Yoo, Ha-Eun Byun, Dongho Han, Jay H. Lee:
Reinforcement learning for batch process control: Review and perspectives. Annu. Rev. Control. 52: 108-119 (2021) - [j59]Haeun Yoo, Boeun Kim, Jong Woo Kim, Jay H. Lee:
Reinforcement learning based optimal control of batch processes using Monte-Carlo deep deterministic policy gradient with phase segmentation. Comput. Chem. Eng. 144: 107133 (2021) - [j58]Efstratios N. Pistikopoulos, Ana Barbosa-Póvoa, Jay H. Lee, Ruth Misener, Alexander Mitsos, Gintaras V. Reklaitis, Venkat Venkatasubramanian, Fengqi You, Rafiqul Gani:
Process systems engineering - The generation next?. Comput. Chem. Eng. 147: 107252 (2021) - [j56]Shin Hyuk Kim, Jay H. Lee, Richard D. Braatz:
Multi-scale fluid dynamics simulation based on MP-PIC-PBE method for PMMA suspension polymerization. Comput. Chem. Eng. 152: 107391 (2021) - 2020
- [j55]Seongwoong Bae, Shin Hyuk Kim, Jay H. Lee:
An investigation into the hydrodynamics of a spinning cone column: CFD simulations by an Eulerian-Lagrangian approach. Comput. Chem. Eng. 132 (2020) - [j54]Shin Hyuk Kim, Jay H. Lee, Richard D. Braatz:
Multi-phase particle-in-cell coupled with population balance equation (MP-PIC-PBE) method for multiscale computational fluid dynamics simulation. Comput. Chem. Eng. 134: 106686 (2020) - [j53]Ha-Eun Byun, Boeun Kim, Jongkoo Lim, Jay H. Lee:
Multi-objective optimization of operation of lignocellulosic acetone-butanol-ethanol fermentation with ex situ butanol recovery (ESBR). Comput. Chem. Eng. 140: 106915 (2020) - [j52]Howoun Jung, Dasom Im, Seongmin Heo, Boeun Kim, Jay H. Lee:
Dynamic analysis and linear model predictive control for operational flexibility of post-combustion CO2 capture processes. Comput. Chem. Eng. 140: 106968 (2020) - [j50]Dasom Im, Howoun Jung, Jay H. Lee:
Modeling, simulation and optimization of the rotating packed bed (RPB) absorber and stripper for MEA-based carbon capture. Comput. Chem. Eng. 143: 107102 (2020) - [j49]Seongbin Ga, Sangwon Lee, Jihan Kim, Jay H. Lee:
Isotherm parameter library and evaluation software for CO2 capture adsorbents. Comput. Chem. Eng. 143: 107105 (2020) - [c13]Ha-Eun Byun, Boeun Kim, Jay H. Lee:
Robust Dual Control of Batch Processes with Parametric Uncertainty using Proximal Policy Optimization. CDC 2020: 3016-3021 - [i1]Haeun Yoo, Victor M. Zavala, Jay H. Lee:
Dynamic penalty function approach for constraints handling in reinforcement learning. CoRR abs/2012.11790 (2020) - 2019
- [j48]Kyung Hwan Ryu, Boeun Kim, Jay H. Lee:
A model-based optimization of microalgal cultivation strategies for lipid production under photoautotrophic condition. Comput. Chem. Eng. 121: 57-66 (2019) - [j47]Joohyun Shin, Jay H. Lee:
Multi-timescale, multi-period decision-making model development by combining reinforcement learning and mathematical programming. Comput. Chem. Eng. 121: 556-573 (2019) - [j46]Haeun Yoo, Kosan Roh, Ali S. Al Hunaidy, Hasan Imran, Jay H. Lee:
Optimal design of heat and water recovery system utilizing waste flue gases for refinery CO2 reduction. Comput. Chem. Eng. 124: 140-152 (2019) - [j44]Seongmin Heo, Jay H. Lee:
Parallel neural networks for improved nonlinear principal component analysis. Comput. Chem. Eng. 127: 1-10 (2019) - [j43]Joohyun Shin, Thomas A. Badgwell, Kuang-Hung Liu, Jay H. Lee:
Reinforcement Learning - Overview of recent progress and implications for process control. Comput. Chem. Eng. 127: 282-294 (2019) - 2018
- [j42]Jay H. Lee, Joohyun Shin, Matthew J. Realff:
Machine learning: Overview of the recent progresses and implications for the process systems engineering field. Comput. Chem. Eng. 114: 111-121 (2018) - [j41]Prodromos Daoutidis, Jay H. Lee, Iiro Harjunkoski, Sigurd Skogestad, Michael Baldea, Christos Georgakis:
Integrating operations and control: A perspective and roadmap for future research. Comput. Chem. Eng. 115: 179-184 (2018) - [j40]Kyungseok Noh, Joohyun Shin, Jay H. Lee:
An optimization based strategy for crude selection in a refinery with lube hydro-processing. Comput. Chem. Eng. 116: 91-111 (2018) - [c12]Boeun Kim, Jay H. Lee:
Improved Parameter Estimation of Ill-Conditioned Problems. CDC 2018: 3044-3049 - 2017
- [j39]Seongbin Ga, Hong Jang, Jay H. Lee:
New performance indicators for adsorbent evaluation derived from a reduced order model of an idealized PSA process for CO2 capture. Comput. Chem. Eng. 102: 188-212 (2017) - 2016
- [j38]Muhammad Zaman, Hong Jang, Muhammad Rizwan, Jay H. Lee:
Optimal design for flexible operation of the post-combustion CO2 capture plant with uncertain economic factors. Comput. Chem. Eng. 84: 199-207 (2016) - [j37]Hong Jang, Kwang-Ki K. Kim, Richard D. Braatz, R. Bhushan Gopaluni, Jay H. Lee:
Regularized maximum likelihood estimation of sparse stochastic monomolecular biochemical reaction networks. Comput. Chem. Eng. 90: 111-120 (2016) - [j36]Joohyun Shin, Jay H. Lee:
Multi-time scale procurement planning considering multiple suppliers and uncertainty in supply and demand. Comput. Chem. Eng. 91: 114-126 (2016) - [j35]Kosan Roh, Rebecca Frauzem, Tuan B. H. Nguyen, Rafiqul Gani, Jay H. Lee:
A methodology for the sustainable design and implementation strategy of CO2 utilization processes. Comput. Chem. Eng. 91: 407-421 (2016) - [c11]Joohyun Shin, Jay H. Lee, Matthew J. Realff:
Stochastic optimization with value function approximation for micro-grid operation. CDC 2016: 7099-7104 - 2015
- [j34]Kevin Yeh, Craig Whittaker, Matthew J. Realff, Jay H. Lee:
Two stage stochastic bilevel programming model of a pre-established timberlands supply chain with biorefinery investment interests. Comput. Chem. Eng. 73: 141-153 (2015) - [j33]Muhammad Zaman, Jay H. Lee:
Optimization of the various modes of flexible operation for post-combustion CO2 capture plant. Comput. Chem. Eng. 75: 14-27 (2015) - [j32]Muhammad Rizwan, Muhammad Zaman, Jay H. Lee, Rafiqul Gani:
Optimal processing pathway selection for microalgae-based biorefinery under uncertainty. Comput. Chem. Eng. 82: 362-373 (2015) - 2014
- [j31]Hong Jang, Jay H. Lee, Richard D. Braatz, Kwang Ki Kevin Kim:
Fast moving horizon estimation for a two-dimensional distributed parameter system. Comput. Chem. Eng. 63: 159-172 (2014) - [j30]Kevin Yeh, Matthew J. Realff, Jay H. Lee, Craig Whittaker:
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. 68: 242-254 (2014) - [j29]Richard D. Braatz, Jay H. Lee:
Special issue in Honor of Manfred Morari's 60th Birthday. Comput. Chem. Eng. 70: 1-2 (2014) - [c10]Kwang Ki Kevin Kim, Hong Jang, R. Bhushan Gopaluni, Jay H. Lee, Richard D. Braatz:
Sparse identification in chemical master equations for monomolecular reaction networks. ACC 2014: 3698-3703 - 2013
- [j27]Rakshita Agrawal, Matthew J. Realff, Jay H. Lee:
MILP based value backups in partially observed Markov decision processes (POMDPs) with very large or continuous action and observation spaces. Comput. Chem. Eng. 56: 101-113 (2013) - [j26]Muhammad Rizwan, Jay H. Lee, Rafiqul Gani:
Optimal processing pathway for the production of biodiesel from microalgal biomass: A superstructure based approach. Comput. Chem. Eng. 58: 305-314 (2013) - 2011
- [j24]Jinkyung Kim, Matthew J. Realff, Jay H. Lee:
Optimal design and global sensitivity analysis of biomass supply chain networks for biofuels under uncertainty. Comput. Chem. Eng. 35(9): 1738-1751 (2011) - 2009
- [j23]Rafiqul Gani, Andy Hrymak, Jay H. Lee, Venkat Venkatasubramanian:
Editorial note. Comput. Chem. Eng. 33(1): 1 (2009) - [j22]Nikolaos E. Pratikakis, Matthew J. Realff, Jay H. Lee:
Controlled exploration of state space in off-line ADP and its application to stochastic shortest path problems. Comput. Chem. Eng. 33(12): 2111-2122 (2009) - 2006
- [j21]Anshul Dubey, Matthew J. Realff, Jay H. Lee, Andreas S. Bommarius:
Identifying the interacting positions of a protein using Boolean learning and support vector machines. Comput. Biol. Chem. 30(4): 268-279 (2006) - [j20]Jay H. Lee, Jong Min Lee:
Approximate dynamic programming based approach to process control and scheduling. Comput. Chem. Eng. 30(10-12): 1603-1618 (2006) - 2005
- [j19]Jong Min Lee, Jay H. Lee:
Approximate dynamic programming-based approaches for input-output data-driven control of nonlinear processes. Autom. 41(7): 1281-1288 (2005) - 2004
- [j17]Jaein Choi, Matthew J. Realff, Jay H. Lee:
Dynamic programming in a heuristically confined state space: a stochastic resource-constrained project scheduling application. Comput. Chem. Eng. 28(6-7): 1039-1058 (2004) - [j16]Jaein Choi, Matthew J. Realff, Jay H. Lee:
An algorithmic framework for improving heuristic solutions: Part I. A deterministic discount coupon traveling salesman problem. Comput. Chem. Eng. 28(8): 1285-1296 (2004) - [j15]Jaein Choi, Jay H. Lee, Matthew J. Realff:
An algorithmic framework for improving heuristic solutions: Part II. A new version of the stochastic traveling salesman problem. Comput. Chem. Eng. 28(8): 1297-1307 (2004) - [j14]Thidarat Tosukhowong, Jong Min Lee, Jay H. Lee, Joseph Lu:
An introduction to a dynamic plant-wide optimization strategy for an integrated plant. Comput. Chem. Eng. 29(1): 199-208 (2004) - [c8]Thidarat Tosukhowong, Jay H. Lee:
Real-time economic optimization for an integrated plant via a dynamic optimization scheme. ACC 2004: 233-238 - [c7]Jong Min Lee, Jay H. Lee:
Empirical model based control of nonlinear processes using approximate dynamic programming. ACC 2004: 3041-3046 - 2002
- [c4]Kangwook Lee, Jay H. Lee, Mitsuko Fujiwara, David L. Ma, Richard D. Braatz:
Run-to-run control of multidimensional crystal size distribution in a batch crystallizer. ACC 2002: 1013-1018 - [c3]Yangdong Pan, ChangKyoo Yoo, Jay H. Lee, In-Beum Lee:
Process monitoring of continuous processes with periodic operation patterns. ACC 2002: 3882-3887 - 2001
- [j11]Christopher V. Rao, James B. Rawlings, Jay H. Lee:
Constrained linear state estimation - a moving horizon approach. Autom. 37(10): 1619-1628 (2001) - 2000
- [c2]Yangdong Pan, Jay H. Lee:
Recursive data-based prediction and control of product quality for a batch PMMA reactor. ACC 2000: 1747-1751 - 1997
- [j4]Jay H. Lee, Parthasarathy Kesavan, Manfred Morari:
Control structure selection and robust control system design for a high-purity distillation column. IEEE Trans. Control. Syst. Technol. 5(4): 402-416 (1997) - 1995
- [j3]Jay H. Lee, Richard D. Braatz, Manfred Morari, Andrew K. Packard:
Screening tools for robust control structure selection. Autom. 31(2): 229-235 (1995) - 1994
- [j2]Jay H. Lee, Manfred Morari, Carlos E. Garcia:
State-space interpretation of model predictive control. Autom. 30(4): 707-717 (1994) - 1991
- [j1]Jay H. Lee, Manfred Morari:
Robust measurement selection. Autom. 27(3): 519-527 (1991)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-05 20:23 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint