Visualisation, Data, Modelling and Graphics
Visualisation, Data, Modelling and GraphicsÌý
Research in VDGM revolves around the themes of human-computer interaction, data and information visualization, visual analytics, computer vision, pattern recognition, machine learning, (X)Realities, artificial life, evolutionary computing, and learning analytics. Researchers from VDMG have pioneered developments in the areas of data classification, information visualization, virtual reality and medical graphics. The group has attracted funding from a variety of sources such as the European Commission (e.g, H2020 funded projectÌýÌýand the FP7ÌýÌýandÌýÌý) the Welsh Government (e.g.,Ìý, Wales) and the UK Government (e.g., AHRC funded projectsÌýÌýandÌýÌýand EPSRCÌý) and other UK foundations and trusts (e.g., Nuffield and Leverhulme). The group works collaboratively across University with the Schools of Ocean Sciences, Natural Sciences, Law, Archeology, Psychology, and Languages Literatures and Linguistics. Research Collaborators in the UK include the universities of Surrey, Swansea, East Anglia, Cardiff, Newcastle, Edinburgh Napier and Lincoln. International Collaborators include the Samsung, Nvidia, Oculus/Facebook, and the Universities of Maryland,ÌýInria, INRA, EberhardÌýKarlsÌýUniversity of Tübingen, Tsinghua University, the University of Burgos, and the University of Thessaly. VDMG comprises of six intertwined labs:ÌýtheÌýInformation Visualization and Visual Analytics lab, theÌýXRealitiesÌýand Immersive Environments lab, the Pattern Recognition and Machine Learning lab, the Artificial Intelligence lab, the Modelling and Imaging lab, and the Learning Analytics lab.Ìý
InformationÌýVisualisationÌýand Visual AnalyticsÌý
The Information Visualization and Visual Analytics lab explores the use of data visualization in a variety of application domains, such as cultural heritage,