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Engineering and Technology

D-Index
45
Citations
8132
World Ranking
5468
National Ranking
1533

Overview

Victor M. Zavala is affiliated with the University of Wisconsin-Madison in the United States. Their work is primarily situated in the field of Engineering, with a focus on several subfields including Control and Systems Engineering, Industrial and Manufacturing Engineering, Electrical and Electronic Engineering, Computational Theory and Mathematics, and Molecular Biology.

The research topics covered by Victor M. Zavala encompass:

  • Recycling and Waste Management Techniques
  • Advanced Control Systems Optimization
  • Fault Detection and Control Systems
  • Municipal Solid Waste Management
  • Sustainable Supply Chain Management
  • Topological and Geometric Data Analysis
  • Optimal Power Flow Distribution

Some of the recent papers authored or co-authored by Victor M. Zavala include:

  • Expanding plastics recycling technologies: chemical aspects, technology status and challenges, 2022, Green Chemistry
  • Hydroformylation of pyrolysis oils to aldehydes and alcohols from polyolefin waste, 2023, Science
  • Reducing Antisolvent Use in the STRAP Process by Enabling a Temperature-Controlled Polymer Dissolution and Precipitation for the Recycling of Multilayer Plastic Films, 2021, ChemSusChem
  • Convolutional Network Analysis of Optical Micrographs for Liquid Crystal Sensors, 2020, The Journal of Physical Chemistry C
  • Valuing economic impact reductions of nutrient pollution from livestock waste, 2020, Resources Conservation and Recycling

Frequent co-authors collaborating with Victor M. Zavala are:

  • Sungho Shin
  • Reid C. Van Lehn
  • Jiaze Ma
  • George W. Huber
  • Philip Tominac

The most common publication venues where Victor M. Zavala's work appears include:

  • arXiv (Cornell University)
  • Computers & Chemical Engineering
  • ACS Sustainable Chemistry & Engineering
  • IFAC-PapersOnLine
  • Industrial & Engineering Chemistry Research

Best Publications

  • Large-scale nonlinear programming using IPOPT: An integrating framework for enterprise-wide dynamic optimization

    Lorenz T. Biegler;Victor M. Zavala

  • The advanced-step NMPC controller: Optimality, stability and robustness

    Victor M. Zavala;Lorenz T. Biegler

  • A Computational Framework for Uncertainty Quantification and Stochastic Optimization in Unit Commitment With Wind Power Generation

    E M Constantinescu;V M Zavala;M Rocklin;Sangmin Lee

  • Gaussian process modeling for measurement and verification of building energy savings

    Yeonsook Heo;Victor M. Zavala

  • Stability of multiobjective predictive control

    Victor M. Zavala;Antonio Flores-Tlacuahuac

  • Advanced step nonlinear model predictive control for air separation units

    Rui Huang;Victor M. Zavala;Lorenz T. Biegler

  • A fast moving horizon estimation algorithm based on nonlinear programming sensitivity

    Victor M. Zavala;Carl D. Laird;Lorenz T. Biegler

  • pyomo.dae : a modeling and automatic discretization framework for optimization with differential and algebraic equations

    Bethany Nicholson;John D. Siirola;Jean-Paul Watson;Victor M. Zavala

  • Economic assessment of concentrated solar power technologies: A review

    Alexander W. Dowling;Tian Zheng;Victor M. Zavala

  • A multi-scale optimization framework for electricity market participation

    Alexander W. Dowling;Ranjeet Kumar;Victor M. Zavala

  • Interior-point decomposition approaches for parallel solution of large-scale nonlinear parameter estimation problems

    Victor M. Zavala;Carl D. Laird;Lorenz T. Biegler

  • On-line economic optimization of energy systems using weather forecast information.

    Victor M. Zavala;Emil M. Constantinescu;Theodore Krause;Mihai Anitescu

  • Stochastic Optimization of Sub-Hourly Economic Dispatch With Wind Energy

    Harsha Gangammanavar;Suvrajeet Sen;Victor M. Zavala

  • A machine learning framework for the analysis and prediction of catalytic activity from experimental data

    Alexander Smith;Andrea Keane;James A. Dumesic;George W. Huber

  • Real-Time Nonlinear Optimization as a Generalized Equation

    Victor M. Zavala;Mihai Anitescu

  • Stochastic optimal control model for natural gas networks

    Victor M. Zavala

  • Real-Time Optimization Strategies for Building Systems†

    Victor M. Zavala

  • A Stochastic Electricity Market Clearing Formulation with Consistent Pricing Properties

    Victor M. Zavala;Kibaek Kim;Mihai Anitescu;John R. Birge

  • Optimization-based strategies for the operation of low-density polyethylene tubular reactors: nonlinear model predictive control

    Victor M. Zavala;Lorenz T. Biegler

  • A framework for multi-stakeholder decision-making and conflict resolution

    Alexander W. Dowling;Gerardo J. Ruiz-Mercado;Victor M. Zavala

  • Nonlinear Programming Strategies for State Estimation and Model Predictive Control

    Victor M. Zavala;Lorenz T. Biegler

Frequent Co-Authors

Mihai Anitescu
Mihai Anitescu Argonne National Laboratory
Lorenz T. Biegler
Lorenz T. Biegler Carnegie Mellon University
Kirk H. Drees
Kirk H. Drees Johnson Controls (United States)
José María Ponce-Ortega
José María Ponce-Ortega Universidad Michoacana de San Nicolás de Hidalgo
Andrew A. Chien
Andrew A. Chien University of Chicago
Mariano Martín
Mariano Martín University of Salamanca
John R. Birge
John R. Birge University of Chicago
Nicholas L. Abbott
Nicholas L. Abbott Cornell University
Jean-Paul Watson
Jean-Paul Watson Lawrence Livermore National Laboratory
Thomas M. Jahns
Thomas M. Jahns University of Wisconsin–Madison

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