Page 150 - The Guide

Keywords
Data analysis, machine learning, artificial intelligence,
computational modelling, mathematical optimisation
Expertise
The University has growing expertise in the use of
bioinspired methodologies to construct computer
algorithms that perform computations and analyses of
complex problems. The algorithms can automatically
adapt to and learn from environmental conditions and
changes; this in-built ‘intelligence’ makes them ideal for
solving real-world problems.
Additionally, our expertise in computational methods,
such as machine learning and pattern analysis, can be
employed to analyse complex problems and questions in
areas such as biology, bioinformatics, human and animal
motion and biomechanics.
The abundance of sensor arrays available in many fields
nowadays can generate extremely large datasets that
need complex analysis. Examples include microarray
data, chemometrics, kinematic and kinetic sensors from
the body, and many other types of biomedical signals.
We efficiently analyse these complex signals to develop
automated diagnostic procedures as well as prediction
and quantification systems. This can aid the
visualisation of multidimensional biological data or
help us to discover important characteristics hidden
in the internal structure of datasets.
We have expertise in mathematical algorithms for data
analysis, visualisation, and automated classification
and prediction of environmental measurements and
sensor data.
Our knowledge of methodologies such as neural
networks and learning systems, bioinspired computation,
mathematical optimisation, and data/pattern analysis can
be applied to many complex commercial situations in
multiple industry sectors.
Capabilities and facilities
Advanced data analysis methodologies
Large scale analysis and optimisation
Software engineering and development
Sensor data processing
Statistical, signal and image processing techniques
for the processing of captured biomedical signals.
Digital Technologies
149
2.4
Biocomputation and biomechanics
Also see:
Materials, Advanced Design &
Manufacturing –
2.8
Biomedical engineering, page 96
For further information
on all our specialist
centres, facilities and
laboratories
go to page
179