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should have strong knowledge in a discipline or background that supports them to undertake the proposed project (e.g. human-centred computing/ computer science, engineering, social science, science
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Anomaly detection is an important task in data mining. Traditionally most of the anomaly detection algorithms have been designed for ‘static’ datasets, in which all the observations are available
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This project will investigate and develop the ways in which AI algorithms and practices can be made transparent and explainable for use in law enforcement and judicial applications The Faculty
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to detail, accuracy, and understanding of confidentiality principles Well-developed communication skills, with experience drafting documentation and reports High level of computer literacy, including
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of Machine Learning (ML) models across large-scale distributed systems. Leveraging advanced AI and distributed computing strategies, this project focuses on deploying ML models on real-world distributed
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Connected Autonomous Vehicle (MCAV) team. Required knowledge Artificial Intelligence Machine learning Software Testing Genetic Algorithms
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environment Strong proficiency in financial management systems, complemented by exceptional computer skills, with advanced expertise in Microsoft Office software, especially Excel About Monash University
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challenging data problem. Weak signals from collisions of compact objects can be dug out of noisy time series because we understand what the signal should look like, and can therefore use simple algorithms
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Learning, Algorithms and Data Structures
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on this technology for its automated warehouses and fulfilment centres. The aim of this project is to use discrete optimisation techniques (e.g. Integer Programming) to design new algorithms for MAPF. An example