At Vis Lab, we believe visualization is more than simply presenting information — it is the science of transforming complex data into meaningful knowledge that empowers better decisions.
As organisations generate ever larger volumes of structured and unstructured data, static reports and dashboards are no longer enough. Our research combines data visualization, artificial intelligence, human-computer interaction, immersive technology and digital twins to create more intuitive, transparent and actionable experiences — always with a practical outcome in mind, so new knowledge can be translated into software platforms, enterprise applications and commercial solutions that solve real problems.
Each of our research areas is investigated with a clear line of sight to real-world application — software platforms, enterprise systems and commercial products.
Rather than replacing human judgement, visual analytics lets people explore data, identify hidden relationships, compare scenarios and discover insights that might otherwise stay buried in the numbers.
Effective visualization is not only about technology — it is about people. We study how users perceive information, interact with visual interfaces and make decisions under uncertainty, drawing on cognitive science, psychology and human-computer interaction to improve usability, accessibility and user experience.
Artificial intelligence increasingly shapes business and scientific decisions, yet many AI models remain difficult to interpret. This research makes AI systems more transparent through visual interfaces that reveal predictions, confidence levels, decision pathways and potential risks.
Scientific research often produces highly complex datasets that resist conventional analysis. Vis Lab builds visualization techniques that let researchers explore simulations, experimental results and multidimensional scientific data more effectively.
Virtual reality, augmented reality and mixed reality are creating entirely new ways of interacting with information. This research explores immersive environments that let people examine complex datasets in three-dimensional space, improving understanding, collaboration and communication.
Digital twin technology is transforming how organisations monitor assets, infrastructure and operational systems. This research integrates real-time sensor data, simulation engines and visualization technologies to create interactive digital representations of physical environments.
Location is a critical component of many modern datasets. This research explores methods for integrating GIS, satellite imagery, IoT sensors and spatial analytics into interactive visualization platforms.
Data only creates value once people understand it. This research investigates visual storytelling techniques that turn analytical results into clear narratives for executives, policymakers, researchers and the public.
Understand the problem, stakeholders, users and available data.
Review scientific literature, industry practice and emerging technologies.
Develop visualization concepts, interaction models and user experience prototypes.
Build functional proof-of-concept platforms and interactive demonstrations.
Test usability, performance, accuracy and decision-making effectiveness through user studies and validation.
Translate successful research outcomes into enterprise software, scalable cloud platforms and commercial products.
Our research is designed to move beyond publication — into platforms organisations actually run.
Australian government research grants, Cooperative Research Centres, university-industry research projects, applied research programs, PhD and postgraduate research, prototype and pilot projects, research commercialisation, and international research partnerships. See each collaboration pathway illustrated on the Research page.
