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Modeling and Simulation

Modeling and Simulation Laboratory at the University of Rostock

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 works at the interface between modeling, simulation, and artificial intelligence. Of particular interest in our research are:Gruppenbild, Winter 2013

  • 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
  • Software engineering and development in M&S
  • Reliability of simulation results
  • Performance evaluation of simulation techniques


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