Modeling and Simulation Group

Modeling and simulation are essential methods that are applied in versatile areas, such as computer science, engineering, natural science, medicine, and social science. Depending on the system to be studied and the objective of the simulation study different methods are used for modeling, executing the model, and for analyzing results and steering the experiment.

Our group focuses on the development of methods for modeling and simulation. Of particular interest in our research are:

  • Discrete event formalism/languages particularly for multi-level and spatial modeling
  • Parallel, distributed, and sequential simulation algorithms
  • Flexible and reusable approaches for modeling, executing a model, and entire simulation studies
  • Reliability of simulation results
  • Performance evaluation of simulation techniques

 

Our work involves methodological approaches as well as the development and implementation of concrete tools. The work is propelled by and addresses challenges entailed by different application domains of M&S, such as computer science, demography, cell biology, and ecology.

 

Latest News

17.05.2017

The paper "Modelling and Simulating Decision Processes of Linked Lives - An Approach Based on Concurrent Processes and Stochastic Race" has been accepted

The paper "Modelling and Simulating Decision Processes of Linked Lives - An Approach Based on Concurrent Processes and Stochastic Race" by Tom Warnke, Oliver Reinhardt, Anna Klabunde, Frans Willekens, and Adelinde M....[more]


10.04.2017

MoSi group welcomes new staff members

The modeling and simulation group is pleased to welcome M.Sc. Till K√∂ster and M.Sc. Philipp Henning, who joined our scientific staff on April 3rd. [more]


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