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The Computational
Intelligence research group has a primary focus in three related areas:
- evolutionary
algorithms;
- probabilistic
modelling;
- parallel computing.
We specialise in
adaptive, intelligent computational approaches to problem-solving. Many
real-world problems are complex, involving the consideration of vast amounts
of data, the balancing of multiple objectives within challenging constraints
and the shifting demands of a fast-moving world. We research powerful
computational approaches to discover key relationships in data, to
intelligently search for solutions in complex scenarios and to provide high
performance computation that best adapts resources to demands.
The work of the group
involves a variety of approaches to problems falling under the general
category of learning and optimisation.
The aims of the group
are:
- to apply
intelligent algorithms to solve learning and/or optimisation problems;
- to develop
improved or novel intelligent algorithms;
- to contribute to the theoretical
understanding of computational intelligence.
The group members
have interests in the fields of:
- Data modelling and
inference using probabilistic graphical models such as Bayesian and
Markov network models.
- Theory and
applications of a wide range of naturally inspired techniques for
single- and multi-objective optimisation, including evolutionary
algorithms, particle swarms, ant colonies and estimation of distribution
algorithms.
- Parallel and high
performance computing.
Our research has
found application in several areas including:
- prediction of
pathological staging in prostate cancer
- chemotherapy
treatment design and optimisation
- care visit
scheduling
- agricultural bio-control
- data modelling for
rig operations
- concurrent mining
of neuro-oncological data
People in the Computational
Intelligence Group
Academic staff:
PhD students:
- Noura
Al-Moubayed
- Lee Christie
- François Fournier
- Michael Garba
- Claire Gerrard
- David Gilmore
- Mehdi Goli
- Olivier
Regnier-Coudert
- Yanghui Wu
KTP Associates:
Visiting researchers:
- Petr Kopyrulov
- Andrei Malakhov
Former
members/Collaborators:
- Garry
Brindley (Robert Gordon
University)
- Deryck
Brown
- Sandy
Brownlee (Loughborough
University)
- Chris
Bryant (University of Salford, Manchester)
- Niccolo
Capanni (Robert
Gordon University)
- Olivier Delbouve (BT Research Centre, Ipswich)
- Daniel
Fredouille
- Frank
Herrmann
- Ratiba Kabli
- Thierry Mamer (BT Research Centre, Ipswich)
- Roger
McDermott (Robert Gordon
University)
- Ann Reddipogu
- Siddhartha Shakya (BT Research Centre, Ipswich)
Current Projects in the
Computational Intelligence Group
Previous Projects in the
Computational Intelligence Group
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