Research projects in Information Technology

This project will explore the use of Mixed-Reality (MR) headset technology to support people in performing maintenance tasks in complex environments, where the nature of the work involves close inspection of and interaction with mechanical devices.  Examples might include aircraft maintenance or other complex workshop environments.  We term work in such situations as "physically embedded" in that the nature of the workflow and the information and data associated with the work is closely tied to the physical machinery.  Such maintenance support requires providing the worker with timely and…

This project heavily focuses on maps (e.g. GoogleMaps or Open Street Map). We will explore various properties of road networks, including the granularity of road networks, routes and trajectories on road networks, and query processing on road networks. 

A number of inter-disciplinary collaboration exists, including transportation to hospitals, urban sprawl analysis, and geospatial in sustainability (e.g. analysing placement of rubbish bins on streets).

Time series are an ever growing form of data, generated by numerous types of sensors and automated processes. However, machine learning and deep learning methods for analysing time series are much less advanced than for other forms of data.

Our research is revolutionising the analysis of time series data. But it is early days, and many more impactful challenges are yet to be overcome.

This project is funded by the Australian Research Council and will be conducted as part of a large world-leading research team.

This project works with leading researchers in the Faculty of Pharmacy to develop new artificial intelligence technologies to aide discovery of drugs to treat pharmacoresistant epilepsy.

You can find some of our publications here: https://i.giwebb.com/research/computational-biology/

This project concerns the investigation of suitable socio-technical data infrastructure for law-enforcement research and development. International collaboration between law-enforcement agencies, research institutions, and commercial organisations is vital to address the large scale technical challenges inherent in combating criminal network activity.  A significant issue in this work concerns the data infrastructure necessary for collaborative research into, and development of, analytical techniques and algorithmic models.

Contemporary filmmakers and visual artists alike are embracing the potential of immersive digital technology – such as Augmented and Virtual Reality – to tell stories in powerful, new and affective ways. By effectively breaking the dictatorship of the frame that has defined the representational form of the moving image for the past 150 years, VR introduces a new paradigm for cinematic expression and viewing experience. This challenge marks a transformational moment in the evolution in the craft of “immersive storytelling”.

Museums are – and have always been – mixed reality spaces par excellence. Today, digital technologies extend the ways in which the wealth of material culture they contain can be interpreted and exhibited, presenting new and (previously) unimaginable ways of bringing their stories to life.

Technologies emerge from a society’s cultural imagination, sparking new ways to imagine the future. Today, Artificial Intelligence (AI) – as the technical capability of a system ‘to correctly interpret external data, to learn from such data, and to use those learnings to achieve specific goals and tasks through flexible adaptation’ [1] – is formed into virtually any digital system that we draw upon to interact with each other and the world around us.

In this project, we will use machine learning methods to diagnose the health status of bee colonies and individual bees.

Bee populations are threatened worldwide due to a number of factors, including parasites and virus infections, climate change, intensive farming, and other environmental stress factors. Australia, until recently, has been relatively protected from infections, but these are now increasingly taking place here as well. 

Networked digital diagnostic, monitoring and patient treatment tools permeate medical practice. A plethora of telemedicine, national and other eHealth records, injury assessment, patient-specific devices, hospital theatre equipment tools have resulted in a multi-billion dollar industry worldwide.  Research suggests the application of these tools  to healthcare can improve clinical workflows and patient care outcomes.