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Photograph of Dr Markus Brede
http://www.ecs.soton.ac.uk/image.php?id=person_25482&maxw=250&maxh=300&corners=0&edge=1&checksum=c34c27617ea03334333622065fc84bc6Photograph of Dr Markus Brede
Dr Markus Brede

Dr Markus Brede

School of Electronics and Computer Science
University of Southampton
Southampton
SO17 1BJ
United Kingdom

Position: Academic staff in Agents, Interaction and Complexity
Extension: 23703
Telephone: Work (Voice): +44 (0)23 8059 3703
Email: mb8@ecs.soton.ac.uk
URI: http://id.ecs.soton.ac.uk/person/25482 [browse]

Additional Contact Details

Potential PhD students interested in any of the above topics should feel free to contact me via email, and may also be interested in applying to the Southampton's Institute for Complex Systems Simulation for a fully funded 4-year scholarship.

Biography

After gaining a "diploma" (equivalent to a master's degree) in theoretical physics I completed a phd on network models of the immune system at the University of Leipzig. I then spent the next 8 years in Australia, initially working as a postdoctoral fellow and later as a research scientist for CSIRO's Centre for Complex Systems Science. My work there was focused on socio-economic models (attempting to understand the use of renewable and finite resources via approaches from evolutionary game theory), network models (with an emphasis on understanding the role of spatial constraints on network formation) and understanding the link between the structure and function of complex systems (i.e. understanding various dynamics, as e.g. synchronization, on networks). In September 2011 I joined the University of Southampton as Senior Lecturer.

Qualifications

"Diploma" (equivalent to a master degree) in physics (University of Leipzig 1999)

Dr. rer. nat. (~PhD) (University of Leipzig 2003)

Other Professional Activities

Most of my research interests revolve around two themes:

1.) Understanding the relationship structure and function of sparsely coupled complex systems. Two areas in which I am particularly interested are:

  • Synchronization processes on networks
  • Evolutionary games on structured populations

2.) Socio-economic systems, in particular:

  • Understanding the interplay between resource dynamics and resource exploitation (with applications to fisheries models or climate change )
  • Non-equilibrium economic modelling
  • Modelling actor heterogeneity and diversity