Dr Daniel Archambault
Information visualization, data science, visual interfaces for machine learning, graph drawing, graph visualization, perception in information visualization, social media visualization and analysis, social network analysis, visualization in the social sciences and the humanities.
Dr Jingjing Deng
Research interests include machine learning, geometric modelling and biomedical image analysis.
Dr Mike Edwards
Research interests include machine learning, deep learning, representation learning on irregular graphs, computer vision and biomedical image analysis.
Professor Mark W. Jones (publications, with downloads and videos)
Photon mapping, ray tracing, global illumination, visualization, kernel density estimation, accelerometry data, transfer functions, probability density functions, clustering, Monte-Carlo techniques, statistics, distance measures, Lloyd’s relaxation, Voronoi diagrams, vector/chamfer distances, volume rendering, data structures (kd-trees).
Dr Robert S. Laramee
Data visualization including information visualization, flow visualization, and tensor field visualization. Most of our work is interdisciplinary and involves data from engineering including simulation data, biology, psychology, criminology, medicine, and physics.
Dr Ben Mora
Real-Time Ray-Tracing of 3D scenes, The DirectTrace Library www.DirectTrace.org, Global Illumination Acceleration, Image Representation.
Dr Gary Tam (Publications and Resources)
Research interests include: Digital Geometry Processing, Visual Analytics, Pattern Recognition and Vision, Machine Learning, Multi-dimensional Data Analysis, Information Retrieval and Indexing.
Dr Sean Walton
Research interests include mesh generation, low order modelling and evolutionary optimisation.
Dr Joss Whittle
Stochastic Approximation, Monte Carlo, Physically Based Rendering, Path Tracing, Image Quality Assessment, Machine Learning, Convolutional Neural Networks, Generative Adversarial Networks.
Professor Xianghua Xie
Research interests include machine learning and deep learning, e.g. deep learning on irregular domain and adaptive learning, medical image analysis, image processing, computer vision, visual inspection, real time processing, big data and mining.
Dr Adeline Paiement
Research interests include computer vision, machine learning, deep learning, data mining, medical and astrophysics image analysis. Left 2018, to Toulon, France.
Dr Rita S. Borgo
Scientific visualization, information visualisation, and visual analytics. Human factors in visualisation. Multimedia processing and visualisation. High performance computing. Functional programming.
Left 2016, to King’s College, London.
Dr Phil Grant
Image features extraction and analysis; Facial feature points localisation and tracking; Facial dynamic analysis;
Professor Min Chen
Visualization and Computer Graphics (1987-present);
Video Processing and Visualization (2003-present);
Aspects of Image Analysis and Computer Vision (2003-present);
Interactive Techniques and Multimedia Communications (1996-present);
Left 2011, to Oxford.
Dr Barry Blundell
3D Displays, autostereoscopic techniques, visualization and multimedia, volumetric, holographic, haptic, interaction.
Left 2006, to Auckland, University of Technology.
Computer Vision and Pattern Recognition.
Left to Deakin University, Australia.
Professor Peter Townsend
Non-Newtonian Fluid Mechanics, Computer Graphics, Data Visualisation. Became Deputy Pro-Vice Chancellor and later retired (2007).