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).

This project investigates 3Vs of Big Data (e.g Volume, Variety, and Velocity). 

Volume: Due to the exponential increase in data volume, it is necessary to adopt parallelism techniques to achieve reasonable query response time. The main focus will be on parallel query processing, which is the main driver for Big Data processing

The world is dynamic, in constant flux. However, machine learning typically learns static models from historical data. As the world changes, these models decline in performance, sometimes catastrophically so. This PhD will develop technologies for addressing this serious problem, building upon our groundbreaking research into the problem.

The world is dynamic and in a constant state of flux, yet most machine learning models learn static models from a dataset that represents a single snapshot in time. My group's research is revolutionising the field of temporal analytics. We have refocused the field on methods that are both effective and feasible for non-trivial problems.

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.

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.

This project could suit a candidate with a background in the socio-technical area of IM or IT, or could be tackled from a range of technical perspectives.

One example of the kind of work a suitable candidate could undertake is in support of the NEED collaboration - which at the Australian end is being run out of FIT. In the NEED setting, questions of inequity in healthcare and wellness act as the starting point for considering digital health opportunities and solutions. 

This project is technical in nature and would suit a candidate with a background and interest in web programming, health informatics or health data (or a combination thereof).

One potential area of exploration for the candidate is extending the work on Pathling (developed by the CSIRO).

Another area demanding further investigation and research is that of dynamic and extensible clinical decision support through CDS Hooks.

#digitalhealth #health #FHIR #interoperability #software #EMR #CDS

This project is technical in nature and would suit a candidate with a background and interest in #Java programming, health informatics or health data (or a combination thereof).

The primary aim of this work is the extend and localise (to the Australian context) the open source Synthea stack. #Synthea is a very valuable tool in health IT R and D and in health data research.

#digitalhealth #FHIR #synthetic #healthdata #data #hospital