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application, AML has attracted a large amount of attention in recent years. However, the underlying theoretical foundation for AML still remains unclear and how to design effective and efficient attack and
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for Earth" grant by Microsoft, one of only 6 projects in Australia to receive this recognition. The new project will build original frameworks for future applications of Machine Learning and Computer Vision
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A large part of modern life is lived indoors such as in homes, offices, shopping malls, universities, libraries and airports. However, almost all of the existing location-based services (LBS) have
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challenging for clinicians and pregnant women. Digital health records, advances in big data, machine learning and artificial intelligence methodologies, and novel data visualisation capabilities have opened up
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revolutionising the field of temporal analytics. We have refocused the field on methods that are both effective and feasible for non-trivial problems. We received a prestigious best paper award at the SDM data
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preferences using real-world spatio-temporal traffic data and open-access consumer surveys. We will develop an large-scale optimisation problem for determining the optimal placement and sizing of charging
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This project concerns the investigation of suitable socio-technical data infrastructure for law-enforcement research and development. International collaboration between law-enforcement agencies
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opportunities on Multimodal We have several PhD and Research Assistant (RA) opportunities available in areas such as Multimodal Large Language Models (MLLM) for human understanding, MLLM safety, and Generative AI
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that the group-level behaviour emerges from the actions of individuals, who only have limited, locally information on what is going on. Such self-organised behaviour is common in biology, it is the basis of how
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to apply various technologies to construct numerous educational systems and tools to facilitate teaching and learning in the past decades. For instance, with the development of Web technology, a large number