This research program facilitates the interaction between analysts and data (for knowledge discovery) and the communication of these findings to stakeholders (for decision-making).
Our team specialises in the design and development of data visualisations, visual user interfaces and interaction methods. We explore how traditional data-driven techniques (such as those from machine learning, artificial intelligence, statistics and data mining) can be combined with interactive visualisations, and focus on how human creativity and factors beyond data values (such as ethical, social and cultural ones) can become integral components of sustainable data analytics.
In collaboration with industry partners, we deliver compelling visualisations, effective interactions, optimum analytic methods and solid engineering to help transform research findings and data insights into a positive impact on healthcare, business, finance, social science and biology.
Intelligent visual analytics:
Adaptive data visualisations and user interfaces
Visual machine learning and data mining
Spatio-temporal visual data analysis
Descriptive, predictive and prescriptive analytics.