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In recent years, AI techniques such as GANs and associated deep learning neural networks have become popular tools applied to the production and creation of works of art. In 2018, AI Art made headlines around the world when a “work of art created by an algorithm” was sold at auction by...
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I am seeking PhD candidates interested in working on designing Learning Analytics or similar reflection interfaces that automatically highlight design elements of data visualisations and generate narrative to communicate insights (instead of just plotting data). The aim for this PhD is to...
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When designing user interfaces, developers want to be able to position objects in a structured way such that controls are clear and neat. In the past, absolute positioning and grids have been used for this purpose. However, such rigid layout doesn’t now allow adaptive layout for interfaces...
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Motivation: In today’s increasingly digitalised world, software defects are enormously expensive. In 2018, the Consortium for IT Software Quality reported that software defects cost the global economy $2.84 trillion dollars and affected more than 4 billion people. The average annual cost of...
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This project aims to identify novel methods for inferring where and when photographs and videos were recorded from features of the material itself. A key requirement of image processing in a Law Enforcement (LE) context is to augment classification of material by identifying its spatio-temporal...
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This project will seek to further the research into and development of machine learning techniques that may be used to triage, classify, and otherwise process material of a distressing nature (such as child exploitation material). It will involve the use of deep neural networks for image, video,...
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This PhD project is funded by a successful ARC Discovery Project grant: "Improving human reasoning with causal Bayesian networks: a user-centric, multimodal, interactive approach" and the successful applicant will work as part of a larger research team. Reasoning and decision making under...
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Anomaly detection is an important task in data mining. Traditionally most of the anomaly detection algorithms have been designed for ‘static’ datasets, in which all the observations are available at one time. In non-stationary environments on the other hand, the same algorithms cannot be applied...
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This project seeks to explore the use of 3D printing to provide better access to graphical information to those who are blind or have low vision. Most graphical information is inaccessible to the blind and low vision community. This could be any of the 1000's of graphics we see on a daily...
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This project will investigate and develop the ways in which AI algorithms and practices can be made transparent and explainable for use in law enforcement and judicial applications The Faculty of Information Technology has a mission to advance social good through its research. Key to this...