Victor Alves

Hi there! 👋

I am a postdoctoral fellow at Carnegie Mellon University, holding a Ph.D. in Chemical Engineering at West Virginia University. In addition, I also have an M.Sc. and B.Sc. degrees in Chemical Engineering, both at the Federal University of Campina Grande, Brazil.

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

May 6, 2024	I have joined Carnegie Mellon University as a Postdoctoral Fellow, under the supervision of Carl Laird and John Kitchin!
Apr 17, 2024	I have successfully defended my PhD thesis under Dr. Fernando V Lima’s supervision, entitled “Strategies for Process Systems Mapping and Control Based on Operability Analysis”. You can download the thesis here.
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 “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

selected publications

2024

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

Bib HTML

@article{alves2024,
  doi = {10.21105/joss.05966},
  year = {2024},
  publisher = {The Open Journal},
  volume = {9},
  number = {94},
  pages = {5966},
  author = {Alves, Victor and Dinh, San and Kitchin, John R. and Gazzaneo, Vitor and Carrasco, Juan C. and Lima, Fernando V.},
  title = {Opyrability: A Python package for process operability analysis},
  journal = {Journal of Open Source Software},
}

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},
}

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

Bib HTML

@article{sweeney23,
  author = {Sweeney, Dean M. and Alves, Victor and Sakhai, Savannah and Dinh, San and Lima, Fernando V.},
  title = {Techno-economic Analysis and Optimization of Intensified, Large-Scale Hydrogen Production with Membrane Reactors},
  journal = {Industrial \& Engineering Chemistry Research},
  volume = {62},
  number = {46},
  pages = {19740-19751},
  year = {2023},
  doi = {10.1021/acs.iecr.3c02045},
  eprint = {https://doi.org/10.1021/acs.iecr.3c02045},
}

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},
}