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results or lack sufficient sensitivity for early detection. This study aims to construct a transparent, non-invasive predictive framework combining machine learning and explainable AI (XAI) to
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results or lack sufficient sensitivity for early detection. This study aims to construct a transparent, non-invasive predictive framework combining machine learning and explainable AI (XAI) to
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Primary supervisor Jesmin Nahar Co-supervisors Anyone from the Faculty who is interested. Research area Data Science and Artificial Intelligence Background Cardiovascular disease is a major global
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Primary supervisor Jesmin Nahar Co-supervisors Anyone from the Faculty who is interested. Research area Data Science and Artificial Intelligence Background Cardiovascular disease is a major global
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Primary supervisor Wai Peng Wong Research area Data Science and Artificial Intelligence The project involves building a high-fidelity digital twin of complex urban or environmental systems by
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requires rigorous evaluation to ensure they meet clinical and operational needs. There is a key opportunity for specialist work in an emergent intersection area which we can call Value-Based Digital Health
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Primary supervisor Thanh Thi Nguyen Research area Data Science and Artificial Intelligence This project focuses on simulating the organic growth of criminal communication networks by leveraging
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Primary supervisor Guanliang Chen Research area Data Science and Artificial Intelligence As education systems increasingly adopt AI to support teaching and learning, the automation of assessment and
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Primary supervisor Guanliang Chen Research area Data Science and Artificial Intelligence As education systems increasingly adopt AI to support teaching and learning, the automation of assessment and
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requires rigorous evaluation to ensure they meet clinical and operational needs. There is a key opportunity for specialist work in an emergent intersection area which we can call Value-Based Digital Health