Welcome to the Data-driven Fluid Engineering Lab (DDFE).
We develop AI-driven frameworks for fluid and physical systems, covering turbulence over rough surfaces, semiconductor process foundation models, fusion and quantum computing–enabled AI, and urban flow prediction and control, with an emphasis on data-driven and explainable modeling of complex multiscale phenomena.
Happy to host Prof. Romit Maulik (Purdue Univ.) for an invited talk and engaging discussion at Inha University!
The entire DDFE lab wishes Mario continued success in his new role
Jongmin presented their research at the 14NCFE held in Pyeongchang.
He presented “Bayesian optimization of AMR parameters for 2D flow past a circular cylinder at Re = 150”