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, interactive technology, hardware prototyping (including actuators), human movement/performance and aquatic culture (including diving) is desirable. This work is in collaboration with Dr. Sarah Jane
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Contribution The research aims to develop a robust, interpretable and generalisable AI framework for cardiovascular risk prediction and clinical decision support. The study will consider model performance
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Contribution The research aims to develop a robust, interpretable and generalisable AI framework for cardiovascular risk prediction and clinical decision support. The study will consider model performance
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including ChatGPT, Claude etc. This project focuses on the exploration of how generative AI can be used to boost the performance of recommender systems. Some research has been done in this area but it is still in its very early stage. Learn more about minimum entry requirements .
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including ChatGPT, Claude etc. This project focuses on the exploration of how generative AI can be used to boost the performance of recommender systems. Some research has been done in this area but it is still in its very early stage. Learn more about minimum entry requirements .
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, air bubbles) management of changes in AI model types and performance over time challenges in managing data volumes (especially given the 3D format), and impacts related to digital slide and storage
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, air bubbles) management of changes in AI model types and performance over time challenges in managing data volumes (especially given the 3D format), and impacts related to digital slide and storage
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Primary supervisor Chern Hong Lim Co-supervisors Bisan Alsalibi Yasmeen George Research area Data Science and Artificial Intelligence While deep learning has shown remarkable performance in medical
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disease diagnosis, prognosis, and treatment planning. While recent advances in deep learning and large language models (LLMs) have significantly improved predictive performance, most existing AI
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processes more transparent and intuitive. Through a series of user studies, the project will measure the impact of these explanations on appropriate trust, and performance, exploring how different forms of