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Primary supervisor Mor Vered Co-supervisors Daniel Harabor Research area Data Science and Artificial Intelligence The multi-agent path finding problem (MAPF) asks us to find a collision-free plan for
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Primary supervisor Mor Vered Co-supervisors Daniel Harabor Research area Data Science and Artificial Intelligence The multi-agent path finding problem (MAPF) asks us to find a collision-free plan for
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Masters by research degree in a related area. Desirable Refereed publications including journal or conference of high repute Project funding Project based scholarship Learn more about minimum entry requirements .
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Masters by research degree in a related area. Desirable Refereed publications including journal or conference of high repute Project funding Project based scholarship Learn more about minimum entry requirements .
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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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, and contextual cues associated with each landmark type. It enhances location-based services by allowing for precise geographic categorization of visual content, enabling improved search and
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Primary supervisor Levin Kuhlmann Research area Machine Learning This project involves model-based depth of anaesthesia monitoring using autoregressive moving average modelling and neural mass and
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Primary supervisor Levin Kuhlmann Research area Machine Learning This project involves model-based depth of anaesthesia monitoring using autoregressive moving average modelling and neural mass and
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, and contextual cues associated with each landmark type. It enhances location-based services by allowing for precise geographic categorization of visual content, enabling improved search and
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Information Technology Industry-Based Learning Placement Grant This grant is awarded to high achieving students in the Faculty of Information Technology who undertake a placement with an industry