PhD Seminar Series: “Grey-Box Modeling with Applications in Data-driven Turbulence Modeling” 

We will continue with our Seminar Series on Wed., 28 September 2022.

On site: Salón de Grados Leganés


For the next event in the Aerospace PhD Seminar Series, we will have the pleasure of hosting Prof. Nicolas R. Gauger from University of Kaiserslautern (TUK)

The event will take place in the Salón de Grados on Wednesday, september 28th at 1pm, and will be streamed.

Prof. Dr. Nicolas R. Gauger received his Master in Mathematics (Dipl.-Math.) from Leibniz University of Hanover in 1998, and his Ph.D. in Applied Mathematics (Dr.rer.nat.) from Braunschweig University of Technology in 2003. From 1998 to 2010 he was Research Scientist in the field of Numerical Methods for Aerodynamics at German Aerospace Center (DLR) in Braunschweig. Furthermore, he was appointed as Assistant Professor (Jun.-Prof., W1) for Applied Mathematics at the Department of Mathematics of the Humboldt University Berlin from 2005 to 2010. In addition, he was Member of the DFG Research Center MATHEON (Mathematics for Key Technologies) in Berlin from 2006 to 2010. Then, from 2010 to 2014, he was Associate Professor (W2) for Computational Mathematics at the Department of Mathematics and the Center for Computational Engineering Science (CCES) at RWTH Aachen University. Furthermore, from March to August 2014, he was Visiting Professor at the Massachusetts Institute of Technology (MIT) in Cambridge, USA. Since September 2014 he is now Chairholder for Scientific Computing at TU Kaiserslautern, where he is Full Professor (W3) at the Department of Mathematics as well as Department of Computer Science. Additionally, since February 2015, he is Director of the Computing Center (RHRK) at TU Kaiserslautern. Furthermore, he was from 2010 to 2019 Principal Investigator at the Aachen Institute for Advanced Study in Computational Engineering Science (AICES), which was a Graduate School funded by the German Excellence Initiative; and from 2014 to 2019 he was in addition Principal Investigator at the Center for Mathematical and Computational Modelling – (CM)^2 – of TU Kaiserslautern. In March 2016, he became vice spokesperson of the Research and Development Lab ‘HPC and Big Data’ of the Fraunhofer Performance Center ‘Simulation- and Software-based Innovation’. In August 2018 he has been named an Associate Fellow of the American Institute of Aeronautics and Astronautics (AIAA). Since 2019 he is Principal Investigator at the Reasearch Initiative ‘Mathematics Applied to Real-World Problems’ – MathApp – at TU Kaiserslautern.

“Grey-Box Modeling with Applications in Data-driven Turbulence Modeling”


The “grey-box modeling” approach cleverly combines insights from simulations (“white-box modeling”) on high-performance computing (HPC) architectures with data-driven approaches (“black-box modeling”) using artificial intelligence (AI) methods.
As an example, we consider here the so-called “field inversion” method in data-driven turbulence modeling for the Navier-Stokes equations. For the field inversion, classical methods from the area of optimization with partial differential equations are used.
Furthermore, in the data-driven part, the training of certain artificial neural networks shows analogies to the optimization for ordinary differential equations. In all approaches, we keep an eye on automation and parallelization on the computing systems to be used.

The seminars will begin at 13 CEST and will take place in the Auditorium Salón de Grados (Padre Soler) campus of Leganés.
No previous registration is required.

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