The Information Engineering Division’s research focuses on the generation, distribution, analysis and use of information in engineering systems. As such, it straddles the boundary between traditional Computer Science and Engineering Departments. The Head of Division is Professor Simon Godsill.

The Division is organised into four main research Groups.

The Control Group is a highly interdisciplinary group of systems theorists, biologists, neuroscientists and electrical engineers who work on problems spanning power grids, brain-machine interfaces, quantitative microbiology and robotics, while developing theoretical methods for modelling and control.

The Machine Intelligence Laboratory focuses on speech processing applications, computer vision and robotics, medical imaging, intelligent interactive systems and human-computer interaction.  The guiding principle of all research in the laboratory is that a well-designed engineering system must be based on a sound mathematical model.

The Signal Processing and Communications Group researches topics in Inference, Information Theory, Imaging, and Signal Analysis. Areas of expertise include high-dimensional statistics, Bayesian computational methodology, network science, graphical models, coding theory, and geometric algebra. The applications are wide-ranging, and include Localisation and Tracking, Communications, Computer Vision, and Computational Biology.

The Computational and Biological Learning Group uses engineering approaches to understand the brain and to develop artificial learning systems. Research includes Bayesian learning, computational neuroscience, statistical machine learning and sensorimotor control. The work on machine learning includes both theory and applications to vision, information retrieval and bioinformatics. The work on biological learning includes theory, simulations, as well as neural and behavioural data analysis.