
Dr. Mathias J. Krause
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freitags 10:00 - 11:00 nach Vereinbarung
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Kollegiengebäude Mathematik (20.30)
3.011
+49 721 608 44191
+49 721 608 42403
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mathias.krause@kit.edu
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Karlsruher Institut für Technologie
Institut für Angewandte und Numerische Mathematik
Institut für Mechanische Verfahrenstechnik und Mechanik
Straße am Forum 8
76131 Karlsruhe
Biography
Dr. Mathias J. Krause studied mathematics with economics at the Universität Karlsruhe (TH) in Germany and the Cardiff University in Wales. He graduated in 2006. Afterwards, he joined the Institute of Applied and Numerical Mathematics (IANM) at the Karlsruhe Institute of Technology (KIT). In 2010, he received a doctorate with his thesis on fluid flow control and optimisation. Since April 2013, he heads the interdisciplinary Lattice Boltzmann Research Group (LBRG) at KIT. Dr. Krause published many articles in scientific journals, gave many presentations at international conferences and initiated various interdisciplinary research projects. He is initiator and main author of the open source library OpenLB that is a C++ code for the simulation of 2D and 3D fluid flows by means of Lattice Boltzmann Methods (LBM). His work was honoured at the Itanium Solutions Alliance Innovation Awards in 2007 and 2009 and at the Mimics Innovation Awards in the category Innovations in Computer Aided Engineering in 2011.
Research Interests
Dr. Krause's research interests are mainly dedicated to the fields of applied mathematics, applied computer science with focus on High Performance Computing (HPC), Computational Fluid Dynamics (CFD) and optimisation under the constraints of partial differential equations.
Click here for a list of my research projects.
Publications
Click here for a list of my publications or visit my profiles at Research Gate or Google Scholar. Download interesting book chapter on the importance of numerical simulations for science!
Recent Lectures and Courses
Semester | Title | Type |
---|---|---|
Winter Semester 2017/18 | Einstieg in die Informatik und algorithmische Mathematik | Lecture |
Seminar (Strömungslehre) | Seminar | |
Summer Semester 2017 | Einstieg in die Informatik und Algorithmische Mathematik (für Bio- und Chemie-Ingenieurwesen) | Lecture |
Seminar (Strömungsrechnung) | Seminar | |
Projektorientiertes Softwarepraktikum | Laboratory | |
Winter Semester 2016/17 | Einstieg in die Informatik und algorithmische Mathematik | Lecture |
Summer Semester 2016 | Einstieg in die Informatik und Algorithmische Mathematik (für Bio- und Chemie-Ingenieurwesen) | Lecture |
Seminar (Strömungsrechnung, Master) | Seminar | |
Projektorientiertes Softwarepraktikum | Seminar | |
Winter Semester 2015/16 | Seminar (Strömungsrechnung) | Seminar |
Summer Semester 2015 | Paralleles Rechnen in Theorie und Praxis | Lecture |
Seminar (Strömungsrechnung) | Seminar | |
Projektorientiertes Softwarepraktikum | Laboratory |