Overview - Information, Data & 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 Iadh Ounis, and has 31 academics, and 53 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 & machine learning, information retrieval, and computer vision & autonomous systems:
- KDES - Knowledge & Data Engineering Systems
(Dr Nikos Ntarmos, Dr Christos Anagnostopoulos) - IDI - Information, Dynamics and Interaction
(Prof. Roderick Murray-Smith, Dr John Williamson, Dr Ke Yuan, Dr Fani Deligianni, Dr Nicolas Pugeault, Dr Jonathan Grizou, Dr Chris McCaig, Dr Kevin Bryson, Dr Paul Henderson, Dr Ali Gooya, Dr Hang Dai) - IR - Information Retrieval
(Prof. Iadh Ounis, Prof. Joemon Jose, Prof. Craig MacDonald, Dr Richard McCreadie, Dr Graham McDonald, Dr Chris McCaig, Dr Debasis Ganguly, Dr Jake Lever, Dr Sean MacAvaney, Dr Zaiqiao Meng) - CVAS - Computer Vision and Autonomous Systems
(Dr Paul Siebert, Dr Gerardo Aragon Camarasa, Dr Nicolas Pugeault, Dr Paul Henderson, Dr Ali Gooya, Dr Edmond Ho, Dr Hang Dai)