Dr. Dominik Meidner

Activities

Department of Mathematics
•	Resource manager
•	Coordinator of the mathematical education at the Department of Electrical and Computer Engineering
•	Organizer of the preliminary course “Mathematics for Electrical Engineering”

Chair of Optimal Control
•	System Administrator
•	Occupational First Aider

Research Projects
•	DFG/FWF Research Training Group IGDK 1754 Optimization and Numerical Analysis for Partial Differential Equations with Nonsmooth Structures
•	BMBF Project BlutSimOpt: Modellierung, schnelle Simulation und Optimierung von Blutströmungen mit Materialschädigung
•	IGSSE-Project COSIMO: Co-simulation, optimization and optimal control of adaptive structures subject to coupled physical fields and signals
•	BMBF Project ExtremSimOpt: Modellierung, Simulation und Optimierung von Strömungsvorgängen unter Extrembedingungen

Conferences and Workshops
•	Co-organizer of the workshop OCIP 2019: Workshop on Numerical Methods for Optimal Control and Inverse Problems Garching, Germany, March 11 - 13, 2019
•	Co-organizer of the workshop OCIP 2017: Workshop on Numerical Methods for Optimal Control and Inverse Problems Garching, Germany, April 05 - 07, 2017
•	Co-organizer of the workshop Workshop on Mathematicians in Industry 2017 International Research Training Group IGDK 1754, Freising, Germany, January 26 - 27, 2017
•	Co-organizer of the workshop Simulation and Optimization of Extreme Fluids Heidelberg, Germany, October 10 - 12, 2016
•	Co-organizer of the workshop OCIP 2016: Workshop on Numerical Methods for Optimal Control and Inverse Problems Garching, Germany, March 14 - 16, 2016
•	Co-organizer of the workshop OCIP 2015: Workshop on Numerical Methods for Optimal Control and Inverse Problems Garching, Germany, March 09 - 11, 2015
•	Co-organizer of the workshop and the winter school Simulation and Optimization of Extreme Fluids Heidelberg, Germany, November 10 - 14, 2014
•	Co-organizer of the workshop Workshop on Mathematicians in Industry 2014 International Research Training Group IGDK 1754, Unterföhring, Germany, October 23 - 24, 2014
•	Co-organizer of the workshop OCIP 2014: Workshop on Numerical Methods for Optimal Control and Inverse Problems Garching, Germany, March 03 - 05, 2014
•	Co-organizer of the workshop OCIP 2013: Workshop on Numerical Methods for Optimal Control and Inverse Problems Garching, Germany, March 11 - 13, 2013
•	Co-organizer of the workshop OCIP 2012: Workshop on Numerical Methods for Optimal Control and Inverse Problems Garching, Germany, March 12 - 14, 2012
•	Co-organizer of the minisymposium Towards Optimization of Fluid-Structure Interaction Problems 16th International Conference on Finite Elements in Flow Problems, Munich, Germany, March 23 - 25, 2011
•	Co-organizer of the workshop OCIP 2011: Workshop on Numerical Methods for Optimal Control and Inverse Problems Garching, Germany, March 14 - 16, 2011
•	Member of the local organizing committee for the conference MOSOCOP 08: Conference on Modeling, Simulation and Optimization of Complex Processes Heidelberg, Germany, July 21 - 25, 2008

Software Development
•	RoDoBo is a software package for solving optimization problems governed by stationary and nonstationary partial differential equations based on the finite element toolkit Gascoigne. This C++ library is developed for complex optimal control and parameter identification problems. It combines modern optimization techniques for large scale problems with established numerical methods for solving partial differential equations.
•	The simulation toolkit Gascoigne is developed for incompressible, compressible, nonreacting and reacting flows in two and three dimensions. It combines error control, adaptive mesh refinement and a fast solution algorithm based on multigrid methods. The discretization of the underlying partial differential equations is done by stabilized finite elements on locally refined meshes. This allows the treatment of complex geometries including curved boundaries.

Software Development

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RoDoBo is a software package for solving optimization problems governed by stationary and nonstationary partial differential equations based on the finite element toolkit Gascoigne. This C++ library is developed for complex optimal control and parameter identification problems. It combines modern optimization techniques for large scale problems with established numerical methods for solving partial differential equations.

•

The simulation toolkit Gascoigne is developed for incompressible, compressible, nonreacting and reacting flows in two and three dimensions. It combines error control, adaptive mesh refinement and a fast solution algorithm based on multigrid methods. The discretization of the underlying partial differential equations is done by stabilized finite elements on locally refined meshes. This allows the treatment of complex geometries including curved boundaries.

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