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.


News


MoSi @ WinterSim '18

Prof. Adelinde M. Uhrmacher, Dr. Tobias Helms, Till Köster, Florian Peters, Maria Pierce, Oliver Reinhardt, Andreas Ruscheinski, Tom Warnke, and Pia...

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Events

Tue
23
Apr

Workshop ONE SIMULATION MODEL IS NOT ENOUGH!

With this workshop, we will take a closer look at how multiple simulation models are developed and managed for different purposes in diverse...