Victor Alves

Ph.D. Candidate in Chemical Engineering @ CODES Research Group.


Hi there! ūüĎč

I am a Ph.D. Candidate (Graduate Research Assistant) in Chemical Engineering at West Virginia University, and a member of the CODES Research Group. In addition, I hold both a M.Sc. and B.Sc. degrees also in Chemical Engineering.

Throughout my career, I have developed algorithms and methods to efficiently solve problems related to Process Systems Engineering (PSE), giving me experience in:

  • Process modeling
  • Advanced process control
  • Plantwide control
  • Nonlinear constrained optimization
  • Supervised machine learning.

My current goal is to conduct further research on the design, modeling, control and assessment of chemical processes. Lastly, I have experience working with the industry, mainly the oil and gas, petrochemical and energy sectors.


Feb 6, 2024 Our new paper on the opyrability Python package for advanced process operability analysis is now available in The Journal of Open Source Software!
Nov 8, 2023 I presented our recent work entitled ‚ÄúAn Implicit Mapping Approach for Process Systems Engineering Applications Using Automatic Differentiation and the Implicit Function Theorem‚ÄĚ at the AIChE Annual meeting - Orlando, Florida.
Oct 30, 2023 Our new paper on advanced hydrogen production using membrane reactors is now available in the Industrial and Engineering Chemistry Research Journal
Aug 10, 2023 I presented my recent work of opyrability at the Mid-Atlantic Process Control (MPC) Academy Meeting, at The Ohio State University.
Apr 25, 2023 Journal publication available at the AIChE Journal on a new approach for performing inverse mapping!

selected publications


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    Opyrability: A Python package for process operability analysis
    Victor Alves, San Dinh, John R. Kitchin, Vitor Gazzaneo, and 2 more authors
    Journal of Open Source Software, 2024


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    An inverse mapping approach for process systems engineering using automatic differentiation and the implicit function theorem
    Victor Alves, John R Kitchin, and Fernando V Lima
    AIChE Journal, 2023
  2. sweeney23.gif
    Techno-economic Analysis and Optimization of Intensified, Large-Scale Hydrogen Production with Membrane Reactors
    Dean M. Sweeney, Victor Alves, Savannah Sakhai, San Dinh, and 1 more author
    Industrial & Engineering Chemistry Research, 2023


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    A machine learning-based process operability framework using Gaussian processes
    Victor Alves, Vitor Gazzaneo, and Fernando V Lima
    Computers & Chemical Engineering, 2022


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    Metacontrol: A Python based application for self-optimizing control using metamodels
    Felipe Souza Lima, Victor Manuel Cunha Alves, and Antonio Carlos Brandao Araujo
    Computers & Chemical Engineering, 2020


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    Metamodel-based numerical techniques for self-optimizing control
    Victor MC Alves, Felipe S Lima, Sidinei K Silva, and Antonio CB Araujo
    Industrial & Engineering Chemistry Research, 2018