Victor M. Zavala

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 96

Top Venues

Publications

Fei Long, Shengli Jiang, Ezra Bar-Ziv, Victor M. Zavala
Robust plastic waste classification using wavelet transform multi-resolution analysis and convolutional neural networks. Comput. Chem. Eng. 181 (2024)
Rahul Bindlish, Michael Baldea, Iiro Harjunkoski, Victor M. Zavala
Trends and perspectives in computed-aided process operations and control. Comput. Chem. Eng. 182 (2024)
Evan D. Erickson, Philip A. Tominac, Jiaze Ma, Horacio Aguirre-Villegas, Victor M. Zavala
Evaluating the economic and environmental benefits of deploying a national-scale, thermo-chemical plastic waste upcycling infrastructure in the United States. Comput. Chem. Eng. 189 (2024)
Gabriel Hernández Morales, Edgar Ivan Sanchez Medina, Arturo Jiménez-Gutiérrez, Victor M. Zavala
Graph neural networks for CO2 solubility predictions in Deep Eutectic Solvents. Comput. Chem. Eng. 187 (2024)
Iegor Riepin, Tom Brown, Victor M. Zavala
Spatio-temporal load shifting for truly clean computing. CoRR (2024)
David L. Cole, Victor M. Zavala
PlasmoData.jl - A Julia framework for modeling and analyzing complex data as graphs. Comput. Chem. Eng. 185 (2024)
David L. Cole, Victor M. Zavala
PlasmoData.jl - A Julia Framework for Modeling and Analyzing Complex Data as Graphs. CoRR (2024)
Weiqi Zhang, Line Roald, Victor M. Zavala
Exploring the Impacts of Power Grid Signals on Data Center Operations Using a Receding-Horizon Scheduling Model. IEEE Trans. Sustain. Comput. 8 (2) (2023)
David L. Cole, Gerardo J. Ruiz-Mercado, Victor M. Zavala
A graph-based modeling framework for tracing hydrological pollutant transport in surface waters. Comput. Chem. Eng. 179 (2023)
Shengli Jiang, Shiyi Qin, Reid C. Van Lehn, Prasanna Balaprakash, Victor M. Zavala
Uncertainty Quantification for Molecular Property Predictions with Graph Neural Architecture Search. CoRR (2023)
David L. Cole, Sungho Shin, François Pacaud, Victor M. Zavala, Mihai Anitescu
. ACC (2023)
Weiqi Zhang, Victor M. Zavala
Quantifying space-time load shifting flexibility in electricity markets. Comput. Chem. Eng. 177 (2023)
Sungho Shin, Victor M. Zavala
Diffusing-Horizon Model Predictive Control. IEEE Trans. Autom. Control. 68 (1) (2023)
David L. Cole, Gerardo J. Ruiz-Mercado, Victor M. Zavala
A Graph-Based Modeling Framework for Tracing Hydrological Pollutant Transport in Surface Waters. CoRR (2023)
Daniel J. Laky, Victor M. Zavala
A Fast and Scalable Computational Topology Framework for the Euler Characteristic. CoRR (2023)
Leonardo D. González, Victor M. Zavala
New paradigms for exploiting parallel experiments in Bayesian optimization. Comput. Chem. Eng. 170 (2023)
Leonardo D. González, Victor M. Zavala
BOIS: Bayesian Optimization of Interconnected Systems. CoRR (2023)
Weiqi Zhang, Victor M. Zavala
Quantifying Space-Time Load Shifting Flexibility in Electricity Markets. CoRR (2023)
Yue Shao, Jiaze Ma, Victor M. Zavala
A spatial superstructure approach to the optimal design of modular processes and supply chains. Comput. Chem. Eng. 170 (2023)
Jaron C. Thompson, Victor M. Zavala, Ophelia S. Venturelli
Integrating a tailored recurrent neural network with Bayesian experimental design to optimize microbial community functions. PLoS Comput. Biol. 19 (9) (2023)
Heriberto Alcocer-Garcia, Juan Gabriel Segovia-Hernández, Eduardo Sanchez-Ramirez, Philip A. Tominac, Victor M. Zavala
Coordinated markets for furfural and levulinic acid from residual biomass: A case study in Guanajuato, Mexico. Comput. Chem. Eng. 156 (2022)
Leonardo D. González, Victor M. Zavala
New Paradigms for Exploiting Parallel Experiments in Bayesian Optimization. CoRR (2022)
Weiqi Zhang, Philip A. Tominac, Victor M. Zavala
Pricing and remunerating electricity storage flexibility using virtual links. Comput. Chem. Eng. 168 (2022)
Sungho Shin, Mihai Anitescu, Victor M. Zavala
Exponential Decay of Sensitivity in Graph-Structured Nonlinear Programs. SIAM J. Optim. 32 (2) (2022)
Joshua L. Pulsipher, Benjamin R. Davidson, Victor M. Zavala
Random field optimization. Comput. Chem. Eng. 165 (2022)
Weiqi Zhang, Line A. Roald, Victor M. Zavala
Exploring the Impacts of Power Grid Signals on Data Center Operations using a Receding-Horizon Scheduling Model. CoRR (2022)
Joshua L. Pulsipher, Luke D. J. Coutinho, Tyler A. Soderstrom, Victor M. Zavala
SAFE-OCC: A Novelty Detection Framework for Convolutional Neural Network Sensors and its Application in Process Control. CoRR (2022)
Philip A. Tominac, Weiqi Zhang, Victor M. Zavala
Spatio-temporal economic properties of multi-product supply chains. Comput. Chem. Eng. 159 (2022)
Alexander Engelmann, Sungho Shin, François Pacaud, Victor M. Zavala
Scalable Primal Decomposition Schemes for Large-Scale Infrastructure Networks. CoRR (2022)
Jordan Jalving, Sungho Shin, Victor M. Zavala
A graph-based modeling abstraction for optimization: concepts and implementation in Plasmo.jl. Math. Program. Comput. 14 (4) (2022)
Yicheng Hu, Weiqi Zhang, Philip A. Tominac, Margaret Shen, Dilara Gorëke, Edgar Martín-Hernández, Mariano Martín, Gerardo J. Ruiz-Mercado, Victor M. Zavala
ADAM: A web platform for graph-based modeling and optimization of supply chains. Comput. Chem. Eng. 165 (2022)
Alexander D. Smith, Benjamin Laubach, Ivan Castillo, Victor M. Zavala
Data analysis using Riemannian geometry and applications to chemical engineering. Comput. Chem. Eng. 168 (2022)
Joshua L. Pulsipher, Weiqi Zhang, Tyler J. Hongisto, Victor M. Zavala
A unifying modeling abstraction for infinite-dimensional optimization. Comput. Chem. Eng. 156 (2022)
Jiaze Ma, Victor M. Zavala
Solution of large-scale supply chain models using graph sampling & coarsening. Comput. Chem. Eng. 163 (2022)
Weiqi Zhang, Victor M. Zavala
Pricing and Remunerating Electricity Storage Flexibility Using Virtual Links. CoRR (2022)
Sen Na, Sungho Shin, Mihai Anitescu, Victor M. Zavala
On the Convergence of Overlapping Schwarz Decomposition for Nonlinear Optimal Control. IEEE Trans. Autom. Control. 67 (11) (2022)
Shengli Jiang, Shiyi Qin, Joshua L. Pulsipher, Victor M. Zavala
Convolutional Neural Networks: Basic Concepts and Applications in Manufacturing. CoRR (2022)
Alexander D. Smith, Victor M. Zavala
The Euler characteristic: A general topological descriptor for complex data. Comput. Chem. Eng. 154 (2021)
Alexander D. Smith, Pawel Dlotko, Victor M. Zavala
Topological data analysis: Concepts, computation, and applications in chemical engineering. Comput. Chem. Eng. 146 (2021)
Yue Shao, Yicheng Hu, Victor M. Zavala
Mitigating investment risk using modular technologies. Comput. Chem. Eng. 153 (2021)
Joshua L. Pulsipher, Weiqi Zhang, Tyler J. Hongisto, Victor M. Zavala
A Unifying Modeling Abstraction for Infinite-Dimensional Optimization. CoRR (2021)
Philip A. Tominac, Victor M. Zavala
Economic properties of multi-product supply chains. Comput. Chem. Eng. 145 (2021)
Philip A. Tominac, Victor M. Zavala
Corrigendum to "Economic properties of multi-product supply chains" [Computers and Chemical Engineering (Nov 4, 2020) In Press]. Comput. Chem. Eng. 146 (2021)
Ranjeet Kumar, Michael J. Wenzel, Mohammad N. ElBsat, Michael J. Risbeck, Kirk H. Drees, Victor M. Zavala
Dual dynamic programming for multi-scale mixed-integer MPC. Comput. Chem. Eng. 148 (2021)
Liuzixuan Lin, Victor M. Zavala, Andrew A. Chien
Evaluating Coupling Models for Cloud Datacenters and Power Grids. e-Energy (2021)
Weiqi Zhang, Victor M. Zavala
An Electricity Market Clearing Formulation for Harnessing Space-Time, Load-Shifting Flexibility from Data Centers. CoRR (2021)
Joshua L. Pulsipher, Victor M. Zavala
Measuring and Optimizing System Reliability: A Stochastic Programming Approach. CoRR (2021)
Shengli Jiang, Zhuo Xu, Medhavi Kamran, Stas Zinchik, Paheding Sidike, Armando G. McDonald, Ezra Bar-Ziv, Victor M. Zavala
Using ATR-FTIR spectra and convolutional neural networks for characterizing mixed plastic waste. Comput. Chem. Eng. 155 (2021)
Qiugang Lu, Leonardo D. González, Ranjeet Kumar, Victor M. Zavala
Bayesian optimization with reference models: A case study in MPC for HVAC central plants. Comput. Chem. Eng. 154 (2021)
Shengli Jiang, Victor M. Zavala
Convolutional Neural Nets: Foundations, Computations, and New Applications. CoRR (2021)
Joshua L. Pulsipher, Daniel Rios, Victor M. Zavala
A Computational Framework for Quantifying and Analyzing System Flexibility. CoRR (2021)
Joshua L. Pulsipher, Victor M. Zavala
A Mixed-Integer Conic Programming Formulation for Computing the Flexibility Index under Multivariate Gaussian Uncertainty. CoRR (2021)
Sungho Shin, Mihai Anitescu, Victor M. Zavala
Overlapping Schwarz Decomposition for Constrained Quadratic Programs. CDC (2020)
Sen Na, Sungho Shin, Mihai Anitescu, Victor M. Zavala
Overlapping Schwarz Decomposition for Nonlinear Optimal Control. CoRR (2020)
Sungho Shin, Qiugang Lu, Victor M. Zavala
Unifying Theorems for Subspace Identification and Dynamic Mode Decomposition. CoRR (2020)
Mohammad-Reza Askari, Iman Hajizadeh, Mudassir M. Rashid, Nicole Hobbs, Victor M. Zavala, Ali Cinar
Adaptive-learning model predictive control for complex physiological systems: Automated insulin delivery in diabetes. Annu. Rev. Control. 50 (2020)
Caroline S. M. Nakama, Galo A. C. Le Roux, Victor M. Zavala
Optimal constraint-based regularization for parameter estimation problems. Comput. Chem. Eng. 139 (2020)
Hui Tian, Jagadeesan Prakash, Victor M. Zavala, James A. Olson, R. Bhushan Gopaluni
A tractable approximation for stochastic MPC and application to mechanical pulping processes. Comput. Chem. Eng. 141 (2020)
Qiugang Lu, Ranjeet Kumar, Victor M. Zavala
MPC Controller Tuning using Bayesian Optimization Techniques. CoRR (2020)
Jose S. Rodriguez, Carl D. Laird, Victor M. Zavala
Scalable preconditioning of block-structured linear algebra systems using ADMM. Comput. Chem. Eng. 133 (2020)
Sungho Shin, Victor M. Zavala, Mihai Anitescu
Decentralized Schemes With Overlap for Solving Graph-Structured Optimization Problems. IEEE Trans. Control. Netw. Syst. 7 (3) (2020)
Sungho Shin, Alex D. Smith, Si-Zhao Joe Qin, Victor M. Zavala
On the Convergence of the Dynamic Inner PCA Algorithm. CoRR (2020)
Haeun Yoo, Victor M. Zavala, Jay H. Lee
Dynamic penalty function approach for constraints handling in reinforcement learning. CoRR (2020)
Qiugang Lu, Victor M. Zavala
Image-Based Model Predictive Control via Dynamic Mode Decomposition. CoRR (2020)
Qiugang Lu, Sungho Shin, Victor M. Zavala
Characterizing the Predictive Accuracy of Dynamic Mode Decomposition for Data-Driven Control. CoRR (2020)
Joshua Pulsipher, Daniel Rios, Victor M. Zavala
A computational framework for quantifying and analyzing system flexibility. Comput. Chem. Eng. 126 (2019)
Kibaek Kim, Cosmin G. Petra, Victor M. Zavala
An Asynchronous Bundle-Trust-Region Method for Dual Decomposition of Stochastic Mixed-Integer Programming. SIAM J. Optim. 29 (1) (2019)
Sungho Shin, Philip Hart, Thomas Jahns, Victor M. Zavala
A Hierarchical Optimization Architecture for Large-Scale Power Networks. IEEE Trans. Control. Netw. Syst. 6 (3) (2019)
Yankai Cao, Victor M. Zavala
A scalable global optimization algorithm for stochastic nonlinear programs. J. Glob. Optim. 75 (2) (2019)
Sungho Shin, Timm Faulwasser, Mario Zanon, Victor M. Zavala
A Parallel Decomposition Scheme for Solving Long-Horizon Optimal Control Problems. CDC (2019)
Aurora del Carmen Munguía-López, Apoorva M. Sampat, Eusiel Rubio-Castro, José María Ponce-Ortega, Victor M. Zavala
Fairness-guided design of water distribution networks for agricultural lands. Comput. Chem. Eng. 130 (2019)
Sungho Shin, Ophelia Venturelli, Victor M. Zavala
Scalable nonlinear programming framework for parameter estimation in dynamic biological system models. PLoS Comput. Biol. 15 (3) (2019)
Ranjeet Kumar, Michael J. Wenzel, Matthew J. Ellis, Mohammad N. ElBsat, Kirk H. Drees, Victor M. Zavala
Hierarchical MPC schemes for periodic systems using stochastic programming. Autom. 107 (2019)
Yue Shao, Victor M. Zavala
Space-time dynamics of electricity markets incentivize technology decentralization. Comput. Chem. Eng. 127 (2019)
Weiqi Zhang, Line A. Roald, Andrew A. Chien, John R. Birge, Victor M. Zavala
Flexibility from Networks of Data Centers: A Market Clearing Formulation with Virtual Links. CoRR (2019)
Apoorva M. Sampat, Yicheng Hu, Mahmoud Sharara, Horacio Aguirre-Villegas, Gerardo J. Ruiz-Mercado, Rebecca A. Larson, Victor M. Zavala
Coordinated management of organic waste and derived products. Comput. Chem. Eng. 128 (2019)
Joshua Pulsipher, Victor M. Zavala
A scalable stochastic programming approach for the design of flexible systems. Comput. Chem. Eng. 128 (2019)
Jordan Jalving, Yankai Cao, Victor M. Zavala
Graph-based modeling and simulation of complex systems. Comput. Chem. Eng. 125 (2019)
Frank E. Curtis, Andreas Wächter, Victor M. Zavala
A Sequential Algorithm for Solving Nonlinear Optimization Problems with Chance Constraints. SIAM J. Optim. 28 (1) (2018)
Jose S. Rodriguez, Bethany Nicholson, Carl D. Laird, Victor M. Zavala
Benchmarking ADMM in nonconvex NLPs. Comput. Chem. Eng. 119 (2018)
Alexander W. Dowling, Victor M. Zavala
Economic opportunities for industrial systems from frequency regulation markets. Comput. Chem. Eng. 114 (2018)
Bethany Nicholson, John D. Siirola, Jean-Paul Watson, Victor M. Zavala, Lorenz T. Biegler
pyomo.dae: a modeling and automatic discretization framework for optimization with differential and algebraic equations. Math. Program. Comput. 10 (2) (2018)
Joshua Pulsipher, Victor M. Zavala
A mixed-integer conic programming formulation for computing the flexibility index under multivariate gaussian uncertainty. Comput. Chem. Eng. 119 (2018)
Ranjeet Kumar, Michael J. Wenzel, Matthew J. Ellis, Mohammad N. ElBsat, Kirk H. Drees, Victor M. Zavala
Handling Long Horizons in MPC: A Stochastic Programming Approach. ACC (2018)
Kibaek Kim, Victor M. Zavala
Algorithmic innovations and software for the dual decomposition method applied to stochastic mixed-integer programs. Math. Program. Comput. 10 (2) (2018)
Yankai Cao, Luis Fabián Fuentes-Cortés, Siyu Chen, Victor M. Zavala
Scalable modeling and solution of stochastic multiobjective optimization problems. Comput. Chem. Eng. 99 (2017)
Victor M. Zavala, Kibaek Kim, Mihai Anitescu, John R. Birge
A Stochastic Electricity Market Clearing Formulation with Consistent Pricing Properties. Oper. Res. 65 (3) (2017)
Naiyuan Chiang, Rui Huang, Victor M. Zavala
An Augmented Lagrangian Filter Method for Real-Time Embedded Optimization. IEEE Trans. Autom. Control. 62 (12) (2017)
Mihai Anitescu, Victor M. Zavala
MPC as a DVI: Implications on sampling rates and accuracy. CDC (2017)
Apoorva M. Sampat, Edgar Martin, Mariano Martín, Victor M. Zavala
Optimization formulations for multi-product supply chain networks. Comput. Chem. Eng. 104 (2017)
Hui Tian, Qiugang Lu, R. Bhushan Gopaluni, Victor M. Zavala, James A. Olson
Economic nonlinear model predictive control for mechanical pulping processes. ACC (2016)
Yankai Cao, Carl D. Laird, Victor M. Zavala
Clustering-based preconditioning for stochastic programs. Comput. Optim. Appl. 64 (2) (2016)
Kibaek Kim, Fan Yang, Victor M. Zavala, Andrew A. Chien
Data Centers as Dispatchable Loads to Harness Stranded Power. CoRR (2016)
Naiyuan Chiang, Victor M. Zavala
An inertia-free filter line-search algorithm for large-scale nonlinear programming. Comput. Optim. Appl. 64 (2) (2016)
Hui Tian, Qiugang Lu, R. Bhushan Gopaluni, Victor M. Zavala
Multiobjective economic model predictive control of mechanical pulping processes. CDC (2016)
Alexander W. Dowling, Gerardo J. Ruiz-Mercado, Victor M. Zavala
A framework for multi-stakeholder decision-making and conflict resolution. Comput. Chem. Eng. 90 (2016)
Jia Kang, Naiyuan Chiang, Carl D. Laird, Victor M. Zavala
Nonlinear programming strategies on high-performance computers. CDC (2015)
Victor M. Zavala, Mihai Anitescu
Scalable Nonlinear Programming via Exact Differentiable Penalty Functions and Trust-Region Newton Methods. SIAM J. Optim. 24 (1) (2014)
Naiyuan Chiang, Cosmin G. Petra, Victor M. Zavala
Structured nonconvex optimization of large-scale energy systems using PIPS-NLP. PSCC (2014)
Ketan Maheshwari, Justin M. Wozniak, Hao Yang, Daniel S. Katz, Matei Ripeanu, Victor M. Zavala, Michael Wilde
Evaluating storage systems for scientific data in the cloud. ScienceCloud@HPDC (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Victor M. Zavala