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  • Research

The Department works closely with local, regional and global industries and third sector organisations in order to support and strengthen our research agenda.

The excellent facilities and the ideal location in one of the most intense concentrations of Information Technology industry in the UK provide a thriving research environment for our computer scientists.

Research Areas

Data Science

There is a growing imbalance between society's ability to generate data and the concomitant ability to exploit it.

There are two critical aspects: data analytics algorithms and data systems at scale (software and hardware infrastructures suitable for peta and exascale data, on clusters and/or clouds).

Research on Machine Learning, Data Mining and Big Data Analytics is devoted to algorithms, techniques and applications for data-driven knowledge discovery from large amounts of data. Algorithms cover a range of predictive and descriptive methods, such as clustering, classification, subgraph mining, Bayesian inference, artificial neural networks, association rules, etc. Application domains include life sciences, neuroscience, climate science, and industrial and business sectors.

Research in image processing and computational vision is concerned with the computational issues of perception and reasoning in relation to image interpretation. Current research activities focus on automated CCTV analysis for safety, security and threat assessment, biometrics and environmental monitoring.

Computational Science

Large-scale environmental simulations require ever more sophisticated and complex computational models, coupling different physics on multiple time and space scales, and demanding the largest high performance computing resources.

A huge enabler and driver for the development of these models is increases in computer power moving towards exascale computing, and associated trends towards shared memory cluster nodes with an ever increasing number of cores, stagnant or decreasing clock frequency, and decreasing memory per core. Our main focus is on the development of the methods, algorithms, and implementations to exploit emerging computer architectures for scientific computing.

Collaborations

The Department applies its research expertise in collaborations and application areas across the University and externally to create societal and commercial impact from its work. We are building on existing strong industrial engagements, in both teaching and research, and forging new relationships, particularly within the Thames Valley.

We also have strong links with the Department of Mathematics and Statistics and the Department of Meteorology.

There is a particular focus on developing interdisciplinary activity and collaborative projects with the wider School. These activities include large parts of two NERC national centres, the National Centre for Atmospheric Science (NCAS) and the National Centre for Earth Observation (NCEO). The department also benefits from close working relationships with the Institute for Environmental Analytics and the European Centre for Medium-Range Weather Forecasts (ECMWF).

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