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.
The paper "Reusing simulation experiment specifications in developing models by successive composition — a case study of the Wnt/β-catenin signaling pathway" has been accepted
The paper "Reusing simulation experiment specifications in developing models by successive composition — a case study of the Wnt/β-catenin signaling pathway" by Danhua Peng, Tom Warnke, Fiete Haack, and Adelinde M....
Danhua Peng successfully completed her PhD on "Reusing Simulation Experiments for Model Composition and Extension". The reviewers were Prof. Jane Hillston (University of Edinburgh), and Prof. Francois Fages (Paris INRIA), and...
Arne Bittig successfully completed his PhD on "ML-Space: Hybrid Spatial Gillespie and Brownian Motion Simulation at Multiple Levels, and a Rule-based Description Language". The reviewers were Prof. James Faeder (University of...