The Centre for Computational Science and Mathematical Modelling (CSM) aims to develop cutting edge pure research in Artificial Intelligence, Data Science and Future Computing, linking fundamental science to real-world applications.
Data Science deals with the analysis and exploitation of large amounts of data (Big Data) drawing together disciplines as diverse as Computer Science, Artificial Intelligence, Statistics and Mathematics. The Centre is organised according to four key themes:
- Artificial Intelligence for Cyberphysical Systems
- Machine Learning for Computer Vision and Natural Language Processing
- Fundamental Algorithms for Artificial Intelligence
- Statistical and Computational Modelling
All of these themes contribute to solutions for six application areas upon which the Centre’s impact is focused:
- Healthcare and Improving Quality of Life
- Health and Life Sciences
- Industry 4.0
- Smart Cities and Transport
- The Future of Computing
- Novel Algorithms and the use of Data Science and High-Performance Computing in Science and Technology
The Centre functions according to a multidisciplinary research approach that is unique to the field.
The multidisciplinary significance of Big Data and High-Performance Computing
Artificial Intelligence and the Data Economy is one of the UK government’s Grand Challenges. Whilst policymakers approach this as a distinct challenge, the reality is that the management of Big Data is at the core of the other three Grand Challenges as well: Future of Mobility, Clean Growth and the Ageing Society.
The Centre aims to address these challenges via the development of transversal competencies that serve to inform differing areas of Science, Technology, Engineering and Social Sciences. This structure will allow for researchers of different experiences but common interests to be brought together, creating a supportive research environment within which these varied disciplines can further the progress of each other. This is achieved not only through collaboration within the Centre, but also with other centres in the university, and internationally.