CFD & ML for Sustainable Engineering
MCTI/CNPq nº 16/2024
Workshop on CFD & ML for Sustainable Engineering – 2025
June 26-27, 2025
The workshop Computational Fluid Dynamics and Machine Learning for Addressing Sustainable Engineering Challenges aims to share knowledge being developed within the internationalization project supported by CNPq: Computational Fluid Dynamics and Machine Learning for Sustainable Engineering, carried out in collaboration with the Lattice Boltzmann Research Group from the Karlsruhe Institute of Technology. Topics related to Machine Learning (ML) applied to Computational Fluid Dynamics (CFD) will be covered, as well as the Lattice-Boltzmann Method (LBM), which has proven suitable for generating data to train ML models. The OpenLB software, a free and open-source code based on LBM, will be presented. Some examples will be solved in a hands-on session during the workshop.
Research Group: Grupo de Pesquisa em Reologia, Escoamentos, Energia e Sustentabilidade – GPREES
Project: Computational Fluid Dynamics and Machine Learning for Sustainable Engineering - CFDSUSTAIN



Executive Committee
- Flávia Schwarz Franceschini Zinani IPH/UFRGS
- Guilherme Henrique Fiorot PROMEC/UFRGS
- Marcio Dorn INF/CBIOT/UFRGS
Speakers
- Adrian Kummerländer LBRG/KIT
- Andreas Scheuermann Celada PROMEC/UFRGS
- Alexandre de Quadro Tacques Filho PPGC/UFRGS
- Cirilo Seppi Bresolin EE/UFRGS
- Guilherme Henrique Fiorot PROMEC/UFRGS
- Flávia Schwarz Franceschini Zinani IPH/UFRGS
- Leonardo da Luz Dorneles PPGC/UFRGS
- Luiz Eduardo Czelusniak LBRG/KIT
- Márcio Dorn INF/UFRGS
Venue
INF Event Center
Institute of Informatics - Building 43413
Federal University of Rio Grande do Sul
Av. Bento Gonçalves 9500
91501-970 - Porto Alegre, RS - Brazil
Program
Registration
The Brazilian Association of Engineering and Mechanical Sciences (ABCM) – Southern Region supports the workshop. ABCM will manage the registration process and payment receipt of the registration fee. ABCM members receive a 10% discount on the registration fee.
Category | Standard Fee | ABCM Member Fee (-10%) |
---|---|---|
Undergraduate Student | R$ 60,00 | R$ 54,00 |
Graduate Student | R$ 80,00 | R$ 72,00 |
Researcher/Professional | R$ 100,00 | R$ 90,00 |
The registration system will be available from 05/05/2025 until 24/06/2025.