معرفی
Mario Javier Rincón is an Industrial Postdoctoral Researcher at Aarhus University’s Department of Mechanical and Production Engineering, collaborating with Kamstrup A/S. His work focuses on data-driven turbulence modelling and optimisation of ultrasonic flow meters using computational fluid dynamics (CFD) and surrogate modelling techniques.
Education
- PhD in Fluid Mechanics, Aarhus University (2020–2023)
- MSc in Energy Engineering, Aalborg University (2016–2018)
- BSc in Mechanical Engineering, Universidad Carlos III de Madrid (2011–2016)
Research Interests
Rincón specializes in turbulence modelling enhanced by data-driven corrections, topology optimisation for industrial systems, and CFD-driven surrogate optimisation. His open-source contributions include the PDA-enhanced k-omega SST model with OpenFOAM.
Publications Trends
His research output spans fluid mechanics, energy engineering, and industrial optimisation. Key areas include turbulence model augmentation, flow meter design, and renewable energy forecasting using hybrid machine learning frameworks.
Laboratories and Teams
He is affiliated with Aarhus University’s Fluids and Energy section and collaborates with Kamstrup A/S on industrial CFD applications for flow measurement technologies.
