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Research In The Department.

Stochastic Processes
The Stochastic Processes Group in the Department works in the area of probability theory - a branch of mathematics providing means for modeling uncertainty. The latter is a characteristic feature of the behaviour of most complex systems - e.g. living organisms, large populations of individuals of some kind (molecules, cells, stars or even students), financial markets, systems of seismic faults etc. ...more

Academics:
  • Continuing Staff:
    Professor Kostya BOROVKOV (Professor)
    Dr Owen JONES (Senior Lecturer)
    Professor Peter TAYLOR (Head of Department)
    Associate Professor Aihua XIA (Associate Professor)


  • Visitors:
    Dr Ben HAMBLY (University of Oxford United Kingdom)


    Students:
  • Postgraduates:
    Jonathan BUDD
    Alexander CAVE Optimisation of mission critical sparing in a stochastic operating environment
    Rohan CLAFFEY The construction of confidence intervals using bootstrap methods in measurement error problems
    Matthieu GILSON Learning in biological-like neural networks
    Paul KEELER Stochastic power-management schemes for sensor networks
    Yacov SALOMON Re-examining fundamental concepts and assumptions in conservation and management using mathematical theories of probability
    Shahrina SHAHRIN Point Processes in Environmental Modelling
    Nikki SONENBERG Building Stochastic Models for Mobile ad hoc Networks
    Sen TAN On modelling of the timing of defaults in CDO rating
    Roger TING
    James ZHAO Hidden Markov models with multiple observation processes

  • Honours:
    Mark BOWDEN
    Yunshun CHEN
    Galina DARAGANOVA
    Shaun MCKINLAY
    Hao MIN
    Mani Teksen SULEIMAN
    Duc Huu Minh TRUONG
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