Martin Kühn
  • German Aerospace Center, Institute for Software Technology, Department for High-Performance Computing
  • Life and Medical Sciences Institute (LIMES)
Research topics
  • Ordinary and Integro Differential equation-based models for infectious diseases
  • Mobility-aware metapopulation models
  • Agent-based modeling
  • High-Performance and Scientific Computing
  • Performance optimization
  • Numerical mathematics
  • Machine-learnt surrogate models
Martin studied Economathematics (M. Sc.) at the University of Cologne, with a six month stay at the Université de Montréal (Canada). He did his PhD in Applied Mathematics with focus on numerical mathematics and high-performance computing. After a PostDoc at the CERFACS in Toulouse, France, where he worked on geometrical multigrid for plasma fusion applications, he joined the German Aerospace Center where he leads the team of “Predictive Simulation Software” in the Institute for Software Technology (100% until 02/24, 50% now). In March 03/24, he joined the University of Bonn to lead the team of “ Mathematical-Epidemiological Modeling”.
Selected publications
  • P. Kaur Betz, J. Stoll , V. Grappendorf, J. Gilg, M. Zeumer , M. Klitz, L. Spataro, A. Klein, L. Rothenhäusler, H. Bohnacker, H. Krämer M. Meyer-Hermann, S. Somogyi, A. Gerndt and M. J. Kühn ESID: Exploring the Design and Development of a Visual Analytics Tool for Epidemiological Emergencies. IEEE VIS Workshop on Visualization for Pandemic and Emergency Responses (Vis4PandEmRes) (2023).
  • E. Bourne, P. Leleux, K. Kormann, C. Kruse, V. Grandgirard, Yaman Güclü, M. J. Kühn, U. Rüde, E. Sonnendrücker, E. Zoni: Solver comparison for Poisson-like equations on tokamak geometries. Journal of Computational Physics (2023): 112249.
  • M. J. Kühn, et. al.: SIMD vectorization for simultaneous solution of locally varying linear systems with multiple right hand sides. The Journal of Supercomputing (2023): 1-23. DOI: 10.1007/s11227-023-05220-4.
  • W. Koslow, M. J. Kühn, S. Binder, M. Klitz, D. Abele, A. Basermann, M. Meyer-Hermann: Appropriate relaxation of non-pharmaceutical interventions minimizes the risk of a resurgence in SARS-CoV-2 infections in spite of the Delta variant. PLoS Computational Biology 18, no. 5 (2022): e1010054.
  • M. J. Kühn et. al.: Regional opening strategies with commuter testing and containment of new SARS-CoV-2 variants. BMC Infectious Diseases 22, no. 1 (2022): 333.
  • M. J. Kühn, C. Kruse, U. Rüde.: Implicitly extrapolated geometric multigrid on disk-like domains for the gyrokinetic Poisson equation from fusion plasma applications. Journal of Scientific Computing 91, no. 1 (2022): 28.
Martin Kühn
Dr. Martin Kühn
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