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The project aims to develop a robust, interpretable and generalisable AI framework integrating prediction, clinical decision support and longitudinal forecasting to support earlier identification and more
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This research aims to design a sustainable framework for optimizing distributed computing systems to enhance performance while minimizing energy consumption. Existing scheduling algorithms often
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validation setting. The intended outcome is a framework for LLMs that improve from imperfect feedback without amplifying cumulative error.
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, generalisability, fairness, uncertainty and responsible use of ML in healthcare. Expected Contribution The project aims to develop a robust, interpretable and clinically relevant ML framework integrating prediction
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accountability for designing, establishing, and governing the financial architecture, management reporting structures, statutory compliance, and consolidation frameworks across all Monash University controlled
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frameworks remain largely static: their knowledge, internal organisation, and coordination strategies are typically predefined. This makes them brittle in dynamic environments where information, tasks, and
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improvement of operational frameworks that underpin recruitment performance across domestic and international channels. This is a strategically significant role with broad organisational reach. Key
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, language, and action into a common framework, these models offer a promising route towards robots that can operate more naturally in complex and unfamiliar environments. Despite this progress, several
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world models may form part of the methodological framework. Experiments will initially use established datasets and simulation environments to enable controlled comparison with existing approaches
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to combine experimental data analysis with phenomenological studies and contribute to the LHCb simulation framework, working closely with QCD phenomenologists at Monash. This role forms part of the final