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Aim/outline Graphs or networks are effective tools to representing a variety of data in different domains. In the biological domain, chemical compounds can be represented as networks, with atoms as
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🎯 Research Vision The next generation of software engineering tools will move beyond autocomplete and static code generation toward autonomous, agentic systems — AI developers capable of planning
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the VR viewer's point of view, and manually coding VR events and the participant behavioural response. This project focuses on automating this process through the training of AI models to detect
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[Malaysia Campus- VPSSP] An AI-Informed Planetary Health Framework for Equitable AMR Risk Mitigation
these engagements will be integrated with outputs from advanced AI models (e.g.,geospatial deep learning, graph neural networks, and explainable AI ) to refine the AMR risk maps and ensure local relevance. Required
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while building strong professional networks across the pharmaceutical industry. Recognising the demands of a full-time research workload, the Honours Industry Scholarship provides financial support to
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the Australia and New Zealand Musculoskeletal (ANZMUSC) Clinical Trials Network, this project offers the opportunity to contribute to internationally recognised research that directly informs clinical care for
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Graph learning has become one of the most successful approaches for analysing complex biomedical data such as brain connectivity networks, molecular interactions, and patient similarity graphs
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hybrid cloud environments. You will drive the modernisation of Monash’s Linux capability through automation, Infrastructure as Code, observability, platform engineering and AI-enabled operations, while
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PatchSentinel-X: Transformer-Based Security Patch Intelligence for Vulnerability Lifecycle Assurance
lifecycle of a vulnerability; from vulnerable code, to patch, to advisory, to regression risk; and determine whether a security fix is complete, safe, and trustworthy? So we are not planning to do
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In collaboration with people from Monash materials engineering, neuroscience and biochemistry we are developing living AI networks where neurons in a dish are grown to form biological neural