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



Research visit in Baltimore

From August 12 to 23 the ELAINE scholarship holder Philipp Henning was visiting the group of Margaret E. Johnson at the Johns Hopkins University in...

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Events

Fri
10
Jan

Talk by Jane Hillston

Combining Mechanistic Stochastic Modelling with Data-driven Machine Learning Approaches

Prof. Jane Hillston, University of Edinburgh, UK

Fri
24
Jan

Talk by Edda Klipp

Systematic integration of models and data for yeast growth, division and stress response

Prof. Edda Klipp, Humboldt-Universität Berlin, Germany

Fri
31
Jan

Talk by Verena Wolf

Mechanistic modelling and computer simulation in the age of machine learning

Prof. Verena Wolf, Universität des Saarlandes, Germany

Fri
28
Feb

Talk by Antonietta Mira

Mathematics, uncertainty and data all around us: learn how to master them

Prof. Antonietta Mira, Università della Svizzera italiana, Schwitzerland

Sun
08
Nov
Fri
13
Nov

Dagstuhl Seminar 20461

Computer Science Methods for Effective and Sustainable Simulation Studies