Victor Alves

Hi there! 👋

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.

news

Nov 8, 2023	I presented our recent work entitled “An Implicit Mapping Approach for Process Systems Engineering Applications Using Automatic Differentiation and the Implicit Function Theorem” 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

2023

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

Bib HTML

@article{alves2023inverse,
  title = {An inverse mapping approach for process systems engineering using automatic differentiation and the implicit function theorem},
  author = {Alves, Victor and Kitchin, John R and Lima, Fernando V},
  journal = {AIChE Journal},
  pages = {e18119},
  year = {2023},
  publisher = {John Wiley \& Sons, Inc. Hoboken, USA},
  video = {https://www.youtube.com/live/UAIUSr4TzBk?feature=share},
}

2022

A machine learning-based process operability framework using Gaussian processes

Victor Alves, Vitor Gazzaneo, and Fernando V Lima

Computers & Chemical Engineering, 2022

Bib HTML

@article{alves2022machine,
  title = {A machine learning-based process operability framework using Gaussian processes},
  author = {Alves, Victor and Gazzaneo, Vitor and Lima, Fernando V},
  journal = {Computers \& Chemical Engineering},
  volume = {163},
  pages = {107835},
  year = {2022},
  publisher = {Elsevier},
}

2020

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

Bib HTML

@article{lima2020metacontrol,
  title = {Metacontrol: A Python based application for self-optimizing control using metamodels},
  author = {Lima, Felipe Souza and Alves, Victor Manuel Cunha and Araujo, Antonio Carlos Brandao},
  journal = {Computers \& Chemical Engineering},
  volume = {140},
  pages = {106979},
  year = {2020},
  publisher = {Elsevier},
}

2018

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

Bib HTML

@article{alves2018metamodel,
  title = {Metamodel-based numerical techniques for self-optimizing control},
  author = {Alves, Victor MC and Lima, Felipe S and Silva, Sidinei K and Araujo, Antonio CB},
  journal = {Industrial \& Engineering Chemistry Research},
  volume = {57},
  number = {49},
  pages = {16817--16840},
  year = {2018},
  publisher = {ACS Publications},
}