Human-Centered and Context Aware Optimization of Categorical Colourmaps for Multiclass Data Visualization
Sept. 2023 – ongoing
This PhD project studies context-aware colormap optimization, integrating perceptual colour difference with context aware metrics.
From Data Integration to Trust: Exploring Multi-omics Visualization and AI in Cancer Research
Nov. 2022 – ongoing
This PhD project investigates how human-centered visual analytics can support the trustworthy interpretation of multi-omics cancer data.
On the effectiveness of large screens for time-to-space visualizations: with applications in the railway domain
Sept. 2021 – ongoing
This PhD project investigates effective control room visualisation on large screens.
Using Shape for Uncertainty Representation in Multivariate Visualization
Sept. 2021 – 2023
This PhD project focuses on using variations in shape to represent different levels of uncertainty.
Improving the usability of complex biological networks through interestingness measures and interactive visualization
Jan. 2021 – Apr. 2024
This PhD project focuses on improving the usability of complex biological networks through interactive visualization and examination of features and measures of interestingness.
Visualisation for Investigation of Structural Missingness: Application to the ICICLE Mobility Dataset
Sept. 2020 – Feb. 2026
This project developed exploratory visualisation approaches to support the analysis of structural missingness within longitudinal mobility monitoring health datasets.
Visualising data profiles and analysis pipelines
This project investigate how visualisation techniques are and should be exploited for key aspects of data profiling.
Novel methods for visualising graphs
May 2019 – 2024
This PhD project investigated novel graph visualisation approaches utilising visual entropy to effectively represent both primary and secondary edge values.
Mobilise-D: Exploring mobility data to support health monitoring
Apr. 2019 – Jun. 2024
This project explores how to represent heterogeneous mobility data to support health monitoring.
To see what isn’t there – Visualization of missing values
This project research visualization approaches to investigate structural missingness in large incomplete data sets.
Interactive explorative visual analytics for hierarchical meta-’omics data
Apr. 2018 – ongoing
This PhD project investigates multivariate visualization for high-dimensional hierarchical data addressing effectiveness, scaling, and hierarchical integration.
Information visualization approach to form balanced groups
Apr. 2018 – Oct. 2022
This PhD project investigated visualization and machine learning approaches to form balanced groups, developing a holistic framework in which exploration, clustering and grouping are considered user workflow aspects of group formation.
Hierarchical visualization of high dimensional data: interactive exploration of ‘omics type data
Sept. 2017 – Apr. 2022
This PhD project looked to support the user-driven exploration and analysis of high dimensional ‘omics type data.
Visual Entropy and the Visualization of Uncertainty
The aim of this project was to develop and evaluate a system of glyphs that included the visualisation of uncertainty in the data using visual entropy.
