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- Dr Rune Rasmussen
- Discipline *
- Artificial Intelligence and Image Processing, Information Systems
- +61 7 3138 1198
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Doctor of Philosophy (Queensland University of Technology)
Research theme: Environment, Information Research discipline: Information Systems Research area: Computational Statistics methods in social network analysis. Rune’s background is in computer sciences, artificial intelligence and game theory. His current research activities deal with social networks and small-world analysis in the context of online service interactions. Through this research, he seeks and develops efficient and robust solutions to emerging complex problems in service science that can be characterised in simulation models and solved using statistical optimisation methods. Approaches in his research have involved models based on differential equations; cellular automata and individual based models, and has dealt with problems of estimating model parameters through Markov Chain Monte Carlo methods such as Approximate Bayesian Computation. Other areas of interest in Rune’s research involve applications of game theory to solving ecological management strategies of pests, spatial expansion modelling and population dynamic estimations of species and mathematical developments of statistical methods. Website: rune-rasmussen.com
- Rasmussen R, Hamilton G, (2012) An approximate Bayesian computation approach for estimating parameters of complex environmental processes in a cellular automata, Environmental Modelling And Software p1-10
For more publications by this staff member, visit QUT ePrints, the University's research repository.