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.


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


  1. alves23.jpg
    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


  1. alves22.jpg
    A machine learning-based process operability framework using Gaussian processes
    Victor Alves, Vitor Gazzaneo, and Fernando V Lima
    Computers & Chemical Engineering, 2022


  1. metacontrol_paper.jpg
    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


  1. alves18.jpg
    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