Displaying 121 - 130 of 187 projects.
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.
Visualisation can help unravelling the complex urban fabrics that form our cities. Yet there is a critical need to bridge the gap between the flood of urban data and the capacity of decision makers to integrate that data into effective and informed decisions.
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
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”.