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Academic achievement and need. The merit of the proposed work program in the seriously disadvantaged community (as determined by the selection committee). The quality of the written submission, in which
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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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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...
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Student satisfaction with feedback is consistently low in higher education, and there is a lack of understanding regarding how students interpret and interact with feedback. Learning analytics promises to enhance feedback practice by providing real-time data and insights into learning behaviour...
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Project description: Nowadays, data-driven machine learning algorithms are well suited to solve real-world problems that require high-level prediction accuracy. However, it seems as if nothing beats the simple equation that more training data = better performance. Learning—in particular, the...
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The use of AI in law enforcement and judicial domains requires consideration of a number of ethical issues. This project will investigate and develop frameworks that embed ethical principles in the research, development, deployment ,and use of AI systems in law enforcement (LE). A major focus...
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Skip to main content Main Menu - Primary Home Projects Supervisors Expression of Interest Contact Interoperability (using FHIR) in cutting-edge medical software systems Primary supervisor Chris Bain Co-supervisors Aldeida Aleti Research area Software Engineering Critical work to the future of...