Victor M. Zavala

Orcid: 0000-0002-5744-7378

According to our database1, Victor M. Zavala authored at least 101 papers between 2009 and 2024.

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Bibliography

2024
Robust plastic waste classification using wavelet transform multi-resolution analysis and convolutional neural networks.
Comput. Chem. Eng., February, 2024

PlasmoData.jl - A Julia Framework for Modeling and Analyzing Complex Data as Graphs.
CoRR, 2024

2023
A graph-based modeling framework for tracing hydrological pollutant transport in surface waters.
Comput. Chem. Eng., November, 2023

Quantifying space-time load shifting flexibility in electricity markets.
Comput. Chem. Eng., September, 2023

A spatial superstructure approach to the optimal design of modular processes and supply chains.
Comput. Chem. Eng., February, 2023

New paradigms for exploiting parallel experiments in Bayesian optimization.
Comput. Chem. Eng., February, 2023

Exploring the Impacts of Power Grid Signals on Data Center Operations Using a Receding-Horizon Scheduling Model.
IEEE Trans. Sustain. Comput., 2023

Diffusing-Horizon Model Predictive Control.
IEEE Trans. Autom. Control., 2023

Integrating a tailored recurrent neural network with Bayesian experimental design to optimize microbial community functions.
PLoS Comput. Biol., 2023

A Fast and Scalable Computational Topology Framework for the Euler Characteristic.
CoRR, 2023

BOIS: Bayesian Optimization of Interconnected Systems.
CoRR, 2023

Uncertainty Quantification for Molecular Property Predictions with Graph Neural Architecture Search.
CoRR, 2023

Exploiting GPU/SIMD Architectures for Solving Linear-Quadratic MPC Problems<sup>*</sup>.
Proceedings of the American Control Conference, 2023

2022
On the Convergence of Overlapping Schwarz Decomposition for Nonlinear Optimal Control.
IEEE Trans. Autom. Control., 2022

Exponential Decay of Sensitivity in Graph-Structured Nonlinear Programs.
SIAM J. Optim., 2022

A graph-based modeling abstraction for optimization: concepts and implementation in Plasmo.jl.
Math. Program. Comput., 2022

Scalable Primal Decomposition Schemes for Large-Scale Infrastructure Networks.
CoRR, 2022

Convolutional Neural Networks: Basic Concepts and Applications in Manufacturing.
CoRR, 2022

Pricing and Remunerating Electricity Storage Flexibility Using Virtual Links.
CoRR, 2022

SAFE-OCC: A Novelty Detection Framework for Convolutional Neural Network Sensors and its Application in Process Control.
CoRR, 2022

Pricing and remunerating electricity storage flexibility using virtual links.
Comput. Chem. Eng., 2022

Spatio-temporal economic properties of multi-product supply chains.
Comput. Chem. Eng., 2022

Data analysis using Riemannian geometry and applications to chemical engineering.
Comput. Chem. Eng., 2022

A unifying modeling abstraction for infinite-dimensional optimization.
Comput. Chem. Eng., 2022

Random field optimization.
Comput. Chem. Eng., 2022

Solution of large-scale supply chain models using graph sampling & coarsening.
Comput. Chem. Eng., 2022

ADAM: A web platform for graph-based modeling and optimization of supply chains.
Comput. Chem. Eng., 2022

Coordinated markets for furfural and levulinic acid from residual biomass: A case study in Guanajuato, Mexico.
Comput. Chem. Eng., 2022

2021
Measuring and Optimizing System Reliability: A Stochastic Programming Approach.
CoRR, 2021

An Electricity Market Clearing Formulation for Harnessing Space-Time, Load-Shifting Flexibility from Data Centers.
CoRR, 2021

Convolutional Neural Nets: Foundations, Computations, and New Applications.
CoRR, 2021

Corrigendum to "Economic properties of multi-product supply chains" [Computers and Chemical Engineering (Nov 4, 2020) In Press].
Comput. Chem. Eng., 2021

Economic properties of multi-product supply chains.
Comput. Chem. Eng., 2021

The Euler characteristic: A general topological descriptor for complex data.
Comput. Chem. Eng., 2021

Topological data analysis: Concepts, computation, and applications in chemical engineering.
Comput. Chem. Eng., 2021

Mitigating investment risk using modular technologies.
Comput. Chem. Eng., 2021

Bayesian optimization with reference models: A case study in MPC for HVAC central plants.
Comput. Chem. Eng., 2021

Dual dynamic programming for multi-scale mixed-integer MPC.
Comput. Chem. Eng., 2021

Using ATR-FTIR spectra and convolutional neural networks for characterizing mixed plastic waste.
Comput. Chem. Eng., 2021

Evaluating Coupling Models for Cloud Datacenters and Power Grids.
Proceedings of the e-Energy '21: The Twelfth ACM International Conference on Future Energy Systems, Virtual Event, Torino, Italy, 28 June, 2021

2020
Decentralized Schemes With Overlap for Solving Graph-Structured Optimization Problems.
IEEE Trans. Control. Netw. Syst., 2020

Dynamic penalty function approach for constraints handling in reinforcement learning.
CoRR, 2020

MPC Controller Tuning using Bayesian Optimization Techniques.
CoRR, 2020

Image-Based Model Predictive Control via Dynamic Mode Decomposition.
CoRR, 2020

Overlapping Schwarz Decomposition for Nonlinear Optimal Control.
CoRR, 2020

Unifying Theorems for Subspace Identification and Dynamic Mode Decomposition.
CoRR, 2020

On the Convergence of the Dynamic Inner PCA Algorithm.
CoRR, 2020

Characterizing the Predictive Accuracy of Dynamic Mode Decomposition for Data-Driven Control.
CoRR, 2020

A tractable approximation for stochastic MPC and application to mechanical pulping processes.
Comput. Chem. Eng., 2020

Scalable preconditioning of block-structured linear algebra systems using ADMM.
Comput. Chem. Eng., 2020

Optimal constraint-based regularization for parameter estimation problems.
Comput. Chem. Eng., 2020

Adaptive-learning model predictive control for complex physiological systems: Automated insulin delivery in diabetes.
Annu. Rev. Control., 2020

Overlapping Schwarz Decomposition for Constrained Quadratic Programs.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019
A Hierarchical Optimization Architecture for Large-Scale Power Networks.
IEEE Trans. Control. Netw. Syst., 2019

An Asynchronous Bundle-Trust-Region Method for Dual Decomposition of Stochastic Mixed-Integer Programming.
SIAM J. Optim., 2019

Scalable nonlinear programming framework for parameter estimation in dynamic biological system models.
PLoS Comput. Biol., 2019

A scalable global optimization algorithm for stochastic nonlinear programs.
J. Glob. Optim., 2019

Flexibility from Networks of Data Centers: A Market Clearing Formulation with Virtual Links.
CoRR, 2019

Space-time dynamics of electricity markets incentivize technology decentralization.
Comput. Chem. Eng., 2019

Coordinated management of organic waste and derived products.
Comput. Chem. Eng., 2019

A scalable stochastic programming approach for the design of flexible systems.
Comput. Chem. Eng., 2019

A computational framework for quantifying and analyzing system flexibility.
Comput. Chem. Eng., 2019

Fairness-guided design of water distribution networks for agricultural lands.
Comput. Chem. Eng., 2019

Graph-based modeling and simulation of complex systems.
Comput. Chem. Eng., 2019

Hierarchical MPC schemes for periodic systems using stochastic programming.
Autom., 2019

A Parallel Decomposition Scheme for Solving Long-Horizon Optimal Control Problems.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
A Sequential Algorithm for Solving Nonlinear Optimization Problems with Chance Constraints.
SIAM J. Optim., 2018

pyomo.dae: a modeling and automatic discretization framework for optimization with differential and algebraic equations.
Math. Program. Comput., 2018

Algorithmic innovations and software for the dual decomposition method applied to stochastic mixed-integer programs.
Math. Program. Comput., 2018

Benchmarking ADMM in nonconvex NLPs.
Comput. Chem. Eng., 2018

A mixed-integer conic programming formulation for computing the flexibility index under multivariate gaussian uncertainty.
Comput. Chem. Eng., 2018

Economic opportunities for industrial systems from frequency regulation markets.
Comput. Chem. Eng., 2018

Handling Long Horizons in MPC: A Stochastic Programming Approach.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
An Augmented Lagrangian Filter Method for Real-Time Embedded Optimization.
IEEE Trans. Autom. Control., 2017

A Stochastic Electricity Market Clearing Formulation with Consistent Pricing Properties.
Oper. Res., 2017

Optimization formulations for multi-product supply chain networks.
Comput. Chem. Eng., 2017

Scalable modeling and solution of stochastic multiobjective optimization problems.
Comput. Chem. Eng., 2017

MPC as a DVI: Implications on sampling rates and accuracy.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016
Data Centers as Dispatchable Loads to Harness Stranded Power.
CoRR, 2016

An inertia-free filter line-search algorithm for large-scale nonlinear programming.
Comput. Optim. Appl., 2016

Clustering-based preconditioning for stochastic programs.
Comput. Optim. Appl., 2016

A framework for multi-stakeholder decision-making and conflict resolution.
Comput. Chem. Eng., 2016

Multiobjective economic model predictive control of mechanical pulping processes.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Economic nonlinear model predictive control for mechanical pulping processes.
Proceedings of the 2016 American Control Conference, 2016

2015
Nonlinear programming strategies on high-performance computers.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014
Scalable Nonlinear Programming via Exact Differentiable Penalty Functions and Trust-Region Newton Methods.
SIAM J. Optim., 2014

Stochastic optimal control model for natural gas networks.
Comput. Chem. Eng., 2014

Structured nonconvex optimization of large-scale energy systems using PIPS-NLP.
Proceedings of the 2014 Power Systems Computation Conference, 2014

Evaluating storage systems for scientific data in the cloud.
Proceedings of the ScienceCloud'14, 2014

2012
Stability of multiobjective predictive control: A utopia-tracking approach.
Autom., 2012

2011
Scalable stochastic optimization of complex energy systems.
Proceedings of the Conference on High Performance Computing Networking, 2011

New insights into the dynamic stability of wholesale electricity markets.
Proceedings of the 2011 IEEE International Symposium on Computer-Aided Control System Design, 2011

A game-theoretical model predictive control framework for electricity markets.
Proceedings of the 49th Annual Allerton Conference on Communication, 2011

2010
Real-Time Nonlinear Optimization as a Generalized Equation.
SIAM J. Control. Optim., 2010

Stability analysis of an approximate scheme for moving horizon estimation.
Comput. Chem. Eng., 2010

Achieving higher frequencies in large-scale nonlinear model predictive control.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Advances in moving horizon estimation for nonlinear systems.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009
Optimization-based strategies for the operation of low-density polyethylene tubular reactors: nonlinear model predictive control.
Comput. Chem. Eng., 2009

Optimization-based strategies for the operation of low-density polyethylene tubular reactors: Moving horizon estimation.
Comput. Chem. Eng., 2009

Large-scale nonlinear programming using IPOPT: An integrating framework for enterprise-wide dynamic optimization.
Comput. Chem. Eng., 2009

The advanced-step NMPC controller: Optimality, stability and robustness.
Autom., 2009


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