Professor of Data-Driven Fluid Dynamics
University of Stuttgart
I am a Full Professor (W3) in the Faculty of Aerospace Engineering and Geodesy at the University of Stuttgart in the Institute of Aerospace Thermodynamics (ITLR). I am also affiliated with the Cluster of Excellence EXC 2075 "Data-Integrated Simulation Science" in the Stuttgart Center for Simulation Science (SC SimTech). My research focuses on data-integrated simulation and physics-informed machine learning of fluid flows of various spatial and temporal scales.
NEW Slides and videos of the presentations on "unified DA/ML" are uploaded in the Updates.
Research Summary
Turbulence plays important roles in mission-critical systems such as aircraft and jet engines, but the prediction of turbulence continues to defy and bedevil scientists and engineers. Recent advances in flow diagnosis and high-fidelity simulations generated enormous amounts of data, opening up new opportunities. Our research leverages data science (uncertainty quantification, data assimilation, machine learning) to advance understanding and improve predictions of turbulent flows and other multi-scale physical systems.
Education
2009
Ph.D., Civil Engineering
Princeton University, USA
2005
M.Sc., Scientific Computing,
Royal Institute of Technology (KTH), Sweden
2003
B.Sc., Civil Engineering,
Zhejiang University, China
Professional
History
12/2022 to Present
Professor
(Chair in Data-Driven Fluid Dynamics)
University of Stuttgart, Germany
2020 to 2022
Associate Professor
Virginia Tech, USA
2013 to 2020
Assistant Professor
Virginia Tech, USA
2009 to 2012
Postdoctoral Researcher/Lecturer
ETH Zürich, Switzerland