Victor Zavala
Affiliations: | 2008 | Chemical Engineering | Carnegie Mellon University, Pittsburgh, PA |
2008-2015 | athematics and Computer Science Division | Argonne National Laboratory, Lemont, IL, United States | |
2011-2015 | Computation Institute | University of Chicago, Chicago, IL | |
2015- | Chemical Engineering | University of Wisconsin, Madison, Madison, WI |
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Parents
Sign in to add mentorLorenz T. Biegler | grad student | 2008 | Carnegie Mellon (Computer Science Tree) | |
(Computational Strategies for the Optimal Operation of Large Scale Chemical Processes) |
Children
Sign in to add traineeYeonsook Heo | post-doc | 2011-2013 | Argonne National Laboratory (Physics Tree) |
Alexander Dowling | post-doc | 2015-2017 | UW Madison |
Yankai Cao | post-doc | 2016-2018 | UW Madison |
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Publications
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Sorourifar F, Zavala VM, Dowling AW. (2020) Integrated Multiscale Design, Market Participation, and Replacement Strategies for Battery Energy Storage Systems Ieee Transactions On Sustainable Energy. 11: 84-92 |
Cao Y, Lee SB, Subramanian VR, et al. (2020) Multiscale model predictive control of battery systems for frequency regulation markets using physics-based models Journal of Process Control. 90: 46-55 |
Rodriguez JS, Laird CD, Zavala VM. (2020) Scalable preconditioning of block-structured linear algebra systems using ADMM Computers & Chemical Engineering. 133: 106478 |
Shin S, Venturelli OS, Zavala VM. (2019) Scalable nonlinear programming framework for parameter estimation in dynamic biological system models. Plos Computational Biology. 15: e1006828 |
Jalving J, Cao Y, Zavala VM. (2019) Graph-based modeling and simulation of complex systems Computers & Chemical Engineering. 125: 134-154 |
Kumar R, Wenzel MJ, Ellis MJ, et al. (2019) Hierarchical MPC Schemes for Periodic Systems using Stochastic Programming Automatica. 107: 306-316 |
Cao Y, Zavala VM. (2019) A scalable global optimization algorithm for stochastic nonlinear programs Journal of Global Optimization. 75: 393-416 |
Cao Y, Yu H, Abbott NL, et al. (2018) Machine Learning Algorithms for Liquid Crystals-Based Sensors. Acs Sensors |
Tovar-Facio J, Cao Y, Ponce-Ortega JM, et al. (2018) Scalable Solution Strategies for Chance-Constrained Nonlinear Programs Industrial & Engineering Chemistry Research. 57: 7987-7998 |
Rodriguez JS, Nicholson B, Laird C, et al. (2018) Benchmarking ADMM in nonconvex NLPs Computers & Chemical Engineering. 119: 315-325 |