Area of research
Computer Vision and Pattern Recognition · Computer Graphics and Computer-Aided Design
Research interest
Research focused on Visualization and Visual analytics, with related work in Data visualization, Data science, Artificial intelligence. Notable publications include 'Glyph-based Visualization: Foundations, Design Guidelines, Techniques and Applications', 'Information visualisation for science and policy: engaging users and avoiding bias', and 'Dashboard Design Patterns'.
Dashboard Design Patterns
RAMPVIS: Answering the challenges of building visualisation capabilities for large-scale emergency responses
Visualization for epidemiological modelling: challenges, solutions, reflections and recommendations
Juxtaposing Controlled Empirical Studies in Visualization with Topic Developments in Psychology
SciVis International Program Committee
Visualization and the Digital Humanities:
VAST 2018 International Program Committee
Pathways for Theoretical Advances in Visualization
Cognitive Information Theories of Psychology and Applications with Visualization and HCI Through Crowdsourcing Platforms
An Analysis of Machine- and Human-Analytics in Classification
How Ordered Is It? On the Perceptual Orderability of Visual Channels
Knowledge-Assisted Ranking: A Visual Analytic Application for Sports Event Data
Information visualisation for science and policy: engaging users and avoiding bias
What Is Visualization Really For?
Future Challenges and Unsolved Problems in Multi-field Visualization
Glyph-based Visualization: Foundations, Design Guidelines, Techniques and Applications
On the implementation and analysis of Expectation Maximization algorithms with stopping criterion