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Supervisor(s): Dr Jack Dalla Via, Dr Mary Kennedy, A/Prof Joshua Lewis Project level: Masters Funding: Applicant should apply for ECUHDR or RTP Scholarship Start date: Ongoing
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Connected Autonomous Vehicle (MCAV) team. Required knowledge Artificial Intelligence Machine learning Software Testing Genetic Algorithms
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Supervisor(s): Dr Jack Dalla Via, Dr Mary Kennedy, A/Prof Joshua Lewis Project level: Masters Funding: Applicant should apply for ECUHDR or RTP Scholarship Start date: Ongoing
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headlines around the world when a “work of art created by an algorithm” was sold at auction by Christie’s for $432,500 – nearly 45 times the value estimated before auction. It turned out that the group behind
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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
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Background in Machine Learning, Algorithms and Data Structures
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substantial research project, GPA 80%+ from a reputed university Refereed publications including journal or conference of high repute Desirable Background in Algorithms and Data Structures
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techniques to design new and efficient algorithms that can provide strong protection during the entire life cycle of ML models used on the devices. Research Task I: Investigate ML algorithms and optimisations
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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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Project description: Nowadays, data-driven machine learning algorithms are well suited to solve real-world problems that require high-level prediction accuracy. However, it seems as if nothing beats