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datasets to train effectively. In practice, acquiring high-quality spectral data from wet-lab experiments is expensive and time-consuming. Furthermore, relying on a single spectral modality often
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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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products. (Prof C Bain, 2024) Required knowledge some background healthcare knowledge / experience ideally advanced data analysis capabilities are highly regarded knowledge of HTA, health economics
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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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question will be developed with the student and could focus on publishing, peer review, research funding, scientific careers, collaboration, or the norms governing AI use. Projects may also use data from
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from an unbiased strategy space.” Journal of the Royal Society Interface 16 (2019): 20190127. https://doi.org/10.1098/rsif.2019.0127 Perera, I., de Nijs, F. and García, J. “Learning to cooperate against
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Primary supervisor Thanh Thi Nguyen Research area Data Science and Artificial Intelligence This project focuses on identifying and distinguishing between authentic audio recordings and those that
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distribution of the labelled seed set. In real-world deployments, this is rarely true. Data streams are inherently non-stationary, subjected to temporal drift, environmental domain shifts, and the continuous
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. The conventional, or gold-standard, approach to analysis of GWAS data is to fit a regression model with each SNP independently, perhaps adjusting for other covariates such as age and sex. This project
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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