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Primary supervisor Pierre Le Bodic Co-supervisors Daniel Harabor Research area Agents and Decision-Making The Multi-Agent Path Finding (MAPF) is a combinatorial problem in which agents must find a
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requiring a lot of human supervision in the form of annotated data. Potential PhD topic include learning to learn and meta-learning, active learning, semi-supervised learning, multi-task learning
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multi-agent reasoning to accelerate scientific discovery in mental health support. Modern psychiatry and clinical psychology generate vast volumes of heterogeneous evidence, from electronic health records
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multi-agent reasoning to accelerate scientific discovery in mental health support. Modern psychiatry and clinical psychology generate vast volumes of heterogeneous evidence, from electronic health records
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Trustworthy Agentic AI frameworks that integrate multi-agent collaboration, large language models, retrieval-augmented generation (RAG), explainable AI, and uncertainty estimation to support evidence-based
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ability to learn? The precise question will be developed with the student. A project may combine evolutionary and behavioural game theory, multi-agent reinforcement learning, agent-based simulation, or
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ability to learn? The precise question will be developed with the student. A project may combine evolutionary and behavioural game theory, multi-agent reinforcement learning, agent-based simulation, or
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unknown relies on the development of complex algorithms at the forefront of statistics, machine learning, and data science. This multi-disciplinary project will combine data science and artificial
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unknown relies on the development of complex algorithms at the forefront of statistics, machine learning, and data science. This multi-disciplinary project will combine data science and artificial
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I am an ARC Future (former DECRA) Fellow and lead the Structured Nanophotonics Group at Monash University. My research in nanophotonics explores the full potential and multi-dimensional nature of