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Fani Boukouvala, Ph.D. - Publications

Affiliations: 
2013 Chemical and Biochemical Engineering Rutgers University, New Brunswick, New Brunswick, NJ, United States 
Area:
Biochemistry, Chemical Engineering
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33 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Demirhan CD, Boukouvala F, Kim K, Song H, Tso WW, Floudas CA, Pistikopoulos EN. An integrated data-driven modeling & global optimization approach for multi-period nonlinear production planning problems Computers & Chemical Engineering. 141: 107007. DOI: 10.1016/J.Compchemeng.2020.107007  0.661
2020 Kim SH, Boukouvala F. Surrogate-based optimization for mixed-integer nonlinear problems Computers & Chemical Engineering. 140: 106847. DOI: 10.1016/J.Compchemeng.2020.106847  0.481
2020 Hüllen G, Zhai J, Kim SH, Sinha A, Realff MJ, Boukouvala F. Managing uncertainty in data-driven simulation-based optimization Computers & Chemical Engineering. 136: 106519. DOI: 10.1016/J.Compchemeng.2019.106519  0.427
2019 Baldea M, Hasan MMF, Boukouvala F. Preface for Special Issue on Frameworks for Process Intensification and Modularization Industrial & Engineering Chemistry Research. 58: 5747-5749. DOI: 10.1021/Acs.Iecr.9B01358  0.336
2019 Boukouvala F, Gounaris CE. Correction to: A preface to the special issue in memory of Professor Christodoulos A. Floudas Optimization Letters. 1-1. DOI: 10.1007/S11590-019-01508-8  0.603
2019 Boukouvala F, Gounaris CE. A preface to the special issue in memory of Professor Christodoulos A. Floudas Optimization Letters. 14: 797-800. DOI: 10.1007/S11590-019-01499-6  0.601
2019 Kim SH, Boukouvala F. Machine learning-based surrogate modeling for data-driven optimization: a comparison of subset selection for regression techniques Optimization Letters. 14: 989-1010. DOI: 10.1007/S11590-019-01428-7  0.43
2018 Beykal B, Boukouvala F, Floudas CA, Pistikopoulos EN. Optimal Design of Energy Systems Using Constrained Grey-Box Multi-Objective Optimization. Computers & Chemical Engineering. 116: 488-502. PMID 30546167 DOI: 10.1016/J.Compchemeng.2018.02.017  0.647
2018 Beykal B, Boukouvala F, Floudas CA, Sorek N, Zalavadia H, Gildin E. Global optimization of grey-box computational systems using surrogate functions and application to highly constrained oil-field operations Computers & Chemical Engineering. 114: 99-110. DOI: 10.1016/J.Compchemeng.2018.01.005  0.571
2018 Kieslich CA, Boukouvala F, Floudas CA. Optimization of black-box problems using Smolyak grids and polynomial approximations Journal of Global Optimization. 71: 845-869. DOI: 10.1007/S10898-018-0643-0  0.716
2017 Sorek N, Gildin E, Boukouvala F, Beykal B, Floudas CA. Dimensionality reduction for production optimization using polynomial approximations Computational Geosciences. 21: 247-266. DOI: 10.1007/S10596-016-9610-3  0.576
2016 Boukouvala F, Floudas CA. ARGONAUT: AlgoRithms for Global Optimization of coNstrAined grey-box compUTational problems Optimization Letters. 1-19. DOI: 10.1007/S11590-016-1028-2  0.575
2016 Li J, Xiao X, Boukouvala F, Floudas CA, Zhao B, Du G, Su X, Liu H. Data-driven mathematical modeling and global optimization framework for entire petrochemical planning operations Aiche Journal. DOI: 10.1002/Aic.15220  0.635
2015 Hasan MMF, First EL, Boukouvala F, Floudas CA. A multi-scale framework for CO2 capture, utilization, and sequestration: CCUS and CCU Computers and Chemical Engineering. DOI: 10.1016/J.Compchemeng.2015.04.034  0.749
2015 Boukouvala F, Hasan MMF, Floudas CA. Global optimization of general constrained grey-box models: new method and its application to constrained PDEs for pressure swing adsorption Journal of Global Optimization. DOI: 10.1007/S10898-015-0376-2  0.602
2014 Hasan MMF, Boukouvala F, First EL, Floudas CA. Nationwide, regional, and statewide CO2 Capture, Utilization, and Sequestration supply chain network optimization Industrial and Engineering Chemistry Research. 53: 7489-7506. DOI: 10.1021/Ie402931C  0.726
2014 Boukouvala F, Misener R, Floudas CA. Global optimization advances in Mixed-Integer Nonlinear Programming, MINLP, and Constrained Derivative-Free Optimization, CDFO European Journal of Operational Research. DOI: 10.1016/J.Ejor.2015.12.018  0.7
2014 Faruque Hasan MM, First EL, Boukouvala F, Floudas CA. A novel framework for carbon capture, utilization, and sequestration, CCUS Computer Aided Chemical Engineering. 34: 98-107. DOI: 10.1016/B978-0-444-63433-7.50011-0  0.756
2014 Boukouvala F, Ierapetritou MG. Derivative-free optimization for expensive constrained problems using a novel expected improvement objective function Aiche Journal. 60: 2462-2474. DOI: 10.1002/Aic.14442  0.594
2013 Boukouvala F, Gao Y, Muzzio F, Ierapetritou MG. Reduced-order discrete element method modeling Chemical Engineering Science. 95: 12-26. DOI: 10.1016/J.Ces.2013.01.053  0.713
2013 Boukouvala F, Ierapetritou MG. Surrogate-based optimization of expensive flowsheet modeling for continuous pharmaceutical manufacturing Journal of Pharmaceutical Innovation. 8: 131-145. DOI: 10.1007/S12247-013-9154-1  0.654
2013 Gao Y, Boukouvala F, Engisch W, Meng W, Muzzio FJ, Ierapetritou MG. Improving continuous powder blending performance using projection to latent structures regression Journal of Pharmaceutical Innovation. 8: 99-110. DOI: 10.1007/S12247-013-9152-3  0.632
2013 Boukouvala F, Chaudhury A, Sen M, Zhou R, Mioduszewski L, Ierapetritou MG, Ramachandran R. Computer-aided flowsheet simulation of a pharmaceutical tablet manufacturing process incorporating wet granulation Journal of Pharmaceutical Innovation. 8: 11-27. DOI: 10.1007/S12247-012-9143-9  0.601
2013 Hasan MMF, Boukouvala F, Floudas CA. Optimization of CO2 capture, utilization and sequestration (CCUS) supply chain networks Co2 Capture 2013 - Topical Conference At the 2013 Aiche Annual Meeting: Global Challenges For Engineering a Sustainable Future. 113-114.  0.47
2012 Dubey A, Boukouvala F, Keyvan G, Hsia R, Saranteas K, Brone D, Misra T, Ierapetritou MG, Muzzio FJ. Improvement of tablet coating uniformity using a quality by design approach. Aaps Pharmscitech. 13: 231-46. PMID 22232020 DOI: 10.1208/S12249-011-9723-X  0.564
2012 Boukouvala F, Niotis V, Ramachandran R, Muzzio FJ, Ierapetritou MG. An integrated approach for dynamic flowsheet modeling and sensitivity analysis of a continuous tablet manufacturing process Computers and Chemical Engineering. 42: 30-47. DOI: 10.1016/J.Compchemeng.2012.02.015  0.615
2012 Boukouvala F, Ierapetritou MG. Feasibility analysis of black-box processes using an adaptive sampling Kriging-based method Computers and Chemical Engineering. 36: 358-368. DOI: 10.1016/J.Compchemeng.2011.06.005  0.598
2012 Boukouvala F, Dubey A, Vanarase A, Ramachandran R, Muzzio FJ, Ierapetritou M. Computational approaches for studying the granular dynamics of continuous blending processes, 2 - Population balance and data-based methods Macromolecular Materials and Engineering. 297: 9-19. DOI: 10.1002/Mame.201100054  0.751
2011 Boukouvala F, Muzzio FJ, Ierapetritou MG. Dynamic data-driven modeling of pharmaceutical processes Industrial and Engineering Chemistry Research. 50: 6743-6754. DOI: 10.1021/Ie102305A  0.595
2011 Boukouvala F, Muzzio FJ, Ierapetritou MG. Feasibility analysis of black-box processes using an adaptive sampling kriging based method Computer Aided Chemical Engineering. 29: 432-436. DOI: 10.1016/B978-0-444-53711-9.50087-0  0.628
2011 Boukouvala F, Ramachandran R, Vanarase A, Muzzio FJ, Ierapetritou MG. Computer Aided Design and Analysis of Continuous Pharmaceutical Manufacturing Processes Computer Aided Chemical Engineering. 29: 216-220. DOI: 10.1016/B978-0-444-53711-9.50044-4  0.745
2010 Boukouvala F, Muzzio FJ, Ierapetritou MG. Design space of pharmaceutical processes using data-driven-based methods Journal of Pharmaceutical Innovation. 5: 119-137. DOI: 10.1007/S12247-010-9086-Y  0.621
2010 Boukouvala F, Muzzio FJ, Ierapetritou MG. Predictive modeling of pharmaceutical processes with missing and noisy data Aiche Journal. 56: 2860-2872. DOI: 10.1002/Aic.12203  0.585
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