Talk, 33rd European Symposium on Computer-Aided Process Engineering, Athens, Greece
I present our work on the the use of the Gibbs-Helmholtz Graph Neural Network for solvent pre-selection in extractive distillation applications”.
Talk, 11th World Congress of Chemical Engineering, Buenos Aires, Argentina
I present our work on the the use of Graph Neural Networks for the prediction of activity coeffcients at infinite dilution of polymer solutions”.
Talk, 11th World Congress of Chemical Engineering, Buenos Aires, Argentina
I present our work on the JupyterBook Machine Learning in Chemical Engineering.
Talk, DECHEMA expert group 'Model-based process development and optimization' meeting, Frankfurt, Germany
I present our work on hybrid GNNs applied to the prediction of activity coefficients. This work was presented to the DECHEMA expert group “Model-based process development and optimization”.
Poster, 14th IMPRS ProEng workshop, Naumburg, Germany
I present this poster at the 14th IMPRS ProEng workshop.
Poster, AIChE Annual Meeting 2022, Phoenix, USA
I present this poster at the AIChE Annual Meeting 2022.
Talk, 2021 AIChE Annual Meeting, Boston, USA
I present this talk at the Data-Driven and Hybrid Modeling for Decision Making II session at the 2021 AIChE Annual Meeting.
Workshop, Institute of Renewable Energy, UNAM, Morelos, Mexico
I presented this 1-week long workshop on numerical optimization together with Prof. Antonio del Rio at the Institute of Renewable Energy, UNAM.
Talk, Max Planck Institute - Magdeburg, Magdeburg, Germany
This talk was part of the Machine Learning for Process and Systems Engineering summer school at MPI-Magdeburg.
Tutorial, RIIAA 2021, virtual, Mexico City, Mexico
An introduction to Gaussian processes and Bayesian optimization. Hands-on exercises using Google Colabs. Around 30 participants. This was one of the 2-hours tutorial sessions of the summer school of RIIAA 4.0.
Tutorial, RIIAA 2021, virtual, Mexico City, Mexico
An introduction to constrained optimization methods. Hands-on exercises using Google Colabs. Around 30 participants. This was one of the 2-hours tutorial sessions of the summer school of RIIAA 4.0.
Tutorial, RIIAA 2021, virtual, Mexico City, Mexico
A brieve introduction to optimization methods used in machine learning. Hands-on exercises using Google Colabs. Around 30 participants. This was one of the 2-hours tutorial sessions of the summer school of RIIAA 4.0.
Poster, ESCAPE 31, Istanbul, Turkey
I present this poster in the ESCAPE-31 conference.
Poster, ESCAPE 31, Istanbul, Turkey
I present this poster in the ESCAPE-31 conference.
Tutorial, RIIAA 2020, virtual, Mexico City, Mexico
A brieve introduction to Gaussian processes and Bayesian optimization. Hands-on exercises using Google Colabs. Around 30 participants. This was one of the 2-hours tutorial sessions of the summer school of RIIAA 3.0.
Tutorial, RIIAA 2020, virtual, Mexico City, Mexico
A brieve introduction to optimization algorithms such as gradient descent, RMSProp and Adam relevant in machine learning. Hands-on exercises using Google Colabs. Around 30 participants. This was one of the 2-hours tutorial sessions of the summer school of RIIAA 3.0.