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Welcome to DDFE!
Welcome to DDFE!
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.
Recent Videos
Recent Videos
Recent News
Recent News
[2026-Oct] Hojin and Jinsu presented at KSCFE
[2026-Oct] Hojin and Jinsu presented at KSCFE
Hojin presented "베이지안 최적화를 통한 지하주차장 제트 팬 속도 최적화" at KSCE
Jinsu presented "Source to sensor response operator를 이용한 지하주차장 오염원 역추적" at KSCE
[2026-Oct] Prof. Sangseung Lee received the Young Researcher Award from the Korean Society of Computational Fluids Engineering (KSCFE)
[2026-Oct] Prof. Sangseung Lee received the Young Researcher Award from the Korean Society of Computational Fluids Engineering (KSCFE)
[2026-Oct] Prof. Romit Maulik visited DDFE
[2026-Oct] Prof. Romit Maulik visited DDFE
Happy to host Prof. Romit Maulik (Purdue Univ.) for an invited talk and engaging discussion at Inha University!
[2026-Sep] Dr. Mario Rüttgers appointed as an Assistant Professor @ SUNY Korea
[2026-Sep] Dr. Mario Rüttgers appointed as an Assistant Professor @ SUNY Korea
Our former Postdoc Dr. Mario Rüttgers has been appointed Assistant Professor @ SUNY Korea
Our former Postdoc Dr. Mario Rüttgers has been appointed Assistant Professor @ SUNY Korea
The entire DDFE lab wishes Mario continued success in his new role
[2026-July] Conference Presentation at 14NCFE 2026
[2026-July] Conference Presentation at 14NCFE 2026
Jongmin presented his recent research in Pyeongchang
Jongmin presented his recent research in Pyeongchang
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”
Collaborators
Collaborators
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