Intelligent Systems and Machine Learning

In our ever-increasing information age, advanced intelligent systems are required to manage and understand enormous amounts of data, and to learn their salient characteristics. ISIS work in intelligent systems is concerned with the development of new robust algorithms for optimisation, modelling and knowledge discovery. Our work is diverse, ranging from the development of new theories through to their application in fields such as signal processing, materials, medical, automotive, nautical and aerospace.

Three members of ISIS staff undertake the research: Professor Chris Harris, Dr Adam Prügel-Bennett, and Dr Steve Gunn. They are currently supported by a further 5 Research Fellows and 14 PhD students. Much of our research is in collaboration with other Southampton research groups such as our work on modelling brake squeal with the Institute of Sound and Vibration Research, marine navigation with ship science, process knowledge discovery with the School of Engineering Sciences, and environmental modelling with the Department of Geography. We also work extensively with overseas colleagues, for example we have important research links with the Universities of Adelaide, Australia; Darmstadt, Germany; Imperial College, UK; Florida Atlantic University, USA; Manchester, UK; Hong Kong, China; NUS Singapore.

Our principal industrial collaborators are Ricardo, BAE systems, IBM, NCS, Lucas Varity, PROSIG, RACAL, GKN and Unilever, with further support from the EU, DERA, MOD and the EPSRC.

Specific interests of the group lie in:

Modeling Evolutionary Algorithms

Intelligent Data Modeling

Data Fusion

Support Vector Machines and Kernel-based Learning

Data Mining and Knowledge Discovery

Reading Group