The CFD-ML (Computational Fluid Dynamics - Machine Learning) group conducts research in applied CFD,  machine learning-based CFD, and core machine learning problems.

We develop cutting-edge machine learning frameworks based on high-fidelity and experimental data to enhance the wake turbulence, boundary layer transition, and blade cooling prediction for industrially relevant problems such as gas turbines. 

We welcome those from industry and academia to collaborate.
We are actively looking for PhD researchers to work on exciting projects.