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focuses on leveraging machine learning and generative AI techniques for proactive mental health monitoring. The project comprises three primary research packages that address distinct aspects of the overall
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technologies will help. The school is focusing on research in AI/machine learning and signal processing which are the research areas in this proposed project. We have equipment ($30K) for collecting underwater
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The Ethics of Healthcare AI by the Australian Institute for Machine Learning is to support a full-time PhD student who is interested in pursuing research on the responsible and ethical evaluation
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reliable. This project will be supported by a robust infrastructure and an intellectually stimulating environment within our machine learning group. The PhD student will be supervised by two highly
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knowledge and/or experience are highly preferred: 1. Computer Vision, Vibration Signal Processing, Machine Learning/Deep Learning knowledge and/or; Experience Industry knowledge and/or; A track record of
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of current robotics research largely revolves around integrating machine learning techniques. One promising solution is end-to-end deep reinforcement learning (DRL), which learns a policy directly mapping
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skillset, including familiarity with structural health monitoring, computer vision and machine learning are desired for this project. Must be eligible to enrol in PhD programs at Curtin. Application process
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machine learning, ensuring a multidisciplinary approach to problem-solving. While traditional PDE-based methods offer a comprehensive framework, their effectiveness has been limited by computational
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. Through application of a representative learning design framework this project will explore how representative are the training activities undertaken in different in game phase (set play / offensive
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extremist networks, the project will use advances in analytics and machine learning to model and reveal effective intelligence targeting and disruption strategies. For more information, please see https