Intelligent Modelling and Analysis

The Intelligent Modelling and Analysis (IMA) group has recently been established to focus a growing area of interest in the School. The group currently has four permanent academics, two support staff, six postdoctoral research fellows and over 30 PhD students. Members of the IMA group currently hold over £5m in external research funding as Principal Investigators and over a further £14m as Co-Investigators.

The group undertakes research into intelligent modelling, utilising data analysis and transformation techniques to enable deeper and clearer understanding of complex physical and physiological problems. A particular strength of the group lies in the bio-medical and security fields where extremely large data volumes have to be analysed in (near) real-time to very high levels of accuracy.

Typical techniques used by IMA include: AI based data mining, Artificial Immune Systems, Computational Modelling, Discrete and Agent-based Simulation, Fuzzy Methodologies, Image Analysis and Multi-sensor Data Fusion.

The IMA's main research objectives are to:

• Conduct inter-disciplinary research aimed at developing novel and adventurous solutions to a range of real-world problems
• Cross-fertilise approaches to modelling and problem analysis from different disciplines
• Focus on problem modelling, representation and transformation techniques to enable better decision making processes
• Support the integration of emerging technologies with more traditional approaches