Information, Data and Analysis section

Technological advances in sensing, data acquisition, mobile devices and the impact of the Internet are leading to increasing amounts of data sampled more rapidly and comprehensively than ever before. If we are to acquire novel insights and knowledge from this data, it needs to be matched by innovations in data management, storage and retrieval and ultimately in data analytics. The many forms of data, their complexity and variations present challenges from information and data systems, to algorithms and inference about patterns through modelling, leading to visualisation, communication and human-computer interaction.

The Information, Data and Analysis Section is led by Professor Roderick Murray-Smith, and has 13 academics, and 35 Post-Doctoral Fellows, Research Assistants and Ph.D. students active in this area. Our research is organised in four world-leading groups in data systems, human-computer interaction and machine learning, information retrieval and computer vision and autonomous systems.

Members: Professor Roderick Murray-Smith, Professor Iadh Ounis, Professor Joemon Jose, Dr Paul Siebert, Dr Simon Rogers, Dr John Williamson, Dr Ke Yuan, Dr Bjoern Sand Jensen, Dr Craig MacDonald, Dr Jeff Dalton, Dr Nikos Ntarmos, Dr Christos Anagnostopoulos and Dr Gerardo Aragon Camarasa.