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[Malaysia Campus- VPSSP] An AI-Informed Planetary Health Framework for Equitable AMR Risk Mitigation
ensure local relevance. Required knowledge Artificial Intelligence; Machine Learning; Computer Vision; Bioinformatics; Biomedical Engineering; Neuroscience; Genomics; Medical Physics; Data Science
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will commence with, in parallel, the survey for collecting the data and a comparison of machine learning methods on artificial pseudo-randomly generated data. The world will see all too many changes
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will commence with, in parallel, the survey for collecting the data and a comparison of machine learning methods on artificial pseudo-randomly generated data. The world will see all too many changes
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in conducting independent research project in deep learning, computer vision, image processing, or autonomous driving. Proficient coding skills in Python, preferably with hands-on experience on deep
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content. Similarly, computer vision models are implemented to analyse images and videos for symbols, gestures, or contextual clues associated with radical groups or criminal activities. Multimodal
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NMT models where sufficient parallel corpora are not available (eg [1,2]). This project investigates methods to enable high performing NMT in low-resource scenarios. [1] Neural Machine Translation for
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NMT models where sufficient parallel corpora are not available (eg [1,2]). This project investigates methods to enable high performing NMT in low-resource scenarios. [1] Neural Machine Translation for
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their ability to generalise across different clinical applications. Inspired by the success of foundation models in natural language processing and computer vision, this project seeks to develop
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estimation, gaze estimation, speech/audio processing, temporal modelling, or human-robot interaction would also be beneficial. Candidates with a strong machine-learning or computer-vision background
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Primary supervisor Lan Du Co-supervisors Prof Wray Buntine Research area Machine Learning Background and Motivation Modern deep learning models have achieved remarkable success in computer vision and