Carlos Prieto

Carlos Prieto

Sustainable process modelling and optimization

Carlos Prieto is a visiting PhD candidate from the University of Salamanca working in process design and optimization. He is particularly focused in the field of renewable energy generation and energy storage systems in the form of chemicals (Power to X) and applies different optimization techniques to favor decarbonization. He has completed his MEng studies in Chemical Engineering in the University of Salamanca and has also worked as a consultant in the industry.

Interests
  • Sustainable process modelling and optimization
  • Bayesian Optimization
  • Machine Learning Applied to PSE
Education
  • MEng Chemical Engineering, 2022

    University of Salamanca