Projects

 
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AIMS: Artificial Intelligence against Modern Slavery

Revolutionising water quality monitoring in the information age

Data-driven pandemic response

How interactive data visualisations can be optimized to improve human cognition

Detecting and repairing data quality issues that affect activity labels in process event logs

A food agility project - Predictive modelling to improve the quality of avocado yield for Asian exportation

Improving cancer diagnosis and treatment using data analytics

Forecasting mosquito populations in response to meteorological variables

Advanced Bayesian inference methods for simulation-based models in cell biology

Mining multifaceted multi-context data using factorisation technique

Model-based adaptive monitoring: improving the effectiveness of reef monitoring programs

Better reef monitoring through simulation

Repurposing existing medications to reduce severe acute respiratory distress in patients with COVID-19: the CLARITY trial

COVID-19 Clinical Data Analytics Platform

Innovation in automation project: water quality sensing and prediction

Bayesian networks for complex environmental systems

Understanding and predicting coral recovery post-disturbance using – is there a delay prior to recovery?

Designing Innovative Technologies to enhance Nature Engagement for Schoolchildren in Urban Areas of Bhutan

PM2.5 and lung cancer mortality in China: spatial and temporal analysis

Virtual Reality for conservation

Virtual Reef Diver

Reef Cloud

Personalised predictive modelling of developmental milestones for children with disability

Human-machine teaming: designing synergistic learning of humans and machines

Statistical modelling of public hospital emergency department presentations in Australia

Measuring and accelerating Australian entrepreneurial dynamism

Human-data interaction (big data visual analytics)

Developmental support of the New Zealand Cancer Atlas

Precision ecology: the modern era of designed experiments in plant ecology (ARC Discovery project)

Design for efficient inference in large data settings

Robust multi-aspect data learning and applications

Bias and fairness in algorithmic decision making

Automated model selection for structured data (inaugural core project)