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 Research Interests

     Modelling Explosive Random Processes
  Many stochastic models account for explosive behaviour by allowing infinitely many transitions in a finite time. As a result, there can be a range of processes sharing the same parameters. It is therefore important to be able to identify those processes that satisfy some additional criteria. I have adopted a fresh approach based on approximating the transition probabilities of the process. We hope that these methods will provide a computationally effective means for describing the long-term behaviour of these processes.



     Operator-Analytic Methods in Telecommunication Systems
  Developing techniques for analysing a class of mathematical models, called operator-analytic models, which can be used to study many complex systems, such as the Internet. We will develop efficient numerical algorithms that will make possible practical analysis of operator-analytic models.



     Modelling Evanescent Random Processes
  The aim is to develop analytical and computational techniques for evaluating quasi-stationary distributions. These are mathematical tools that allow one to model the long-term behaviour of evanescent random processes that arise in biology, chemistry and telecommunications.



     Assessing the Performance of Telecommunications Networks
  The broad aim is to improve procedures for evaluating the performance of telecommunications networks by proposing several new models that account for dependencies between neighbouring communications links.