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groups to specific foods, rather than considering individual glycemic responses. This project aims to develop an AI-driven, personalised diabetes management system using a mobile app to rate foods
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Gained : Students will work with real-time data analytics, reinforcement learning, and predictive modeling to create efficient resource utilization strategies. Carbon-Aware and Sustainable Scheduling
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. Novel Adversarial Machine Learning algorithms for structured data will be proposed. The algorithms will be further extended to graph-structured data. Applications of AML will also be investigated to
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. Novel Adversarial Machine Learning algorithms for structured data will be proposed. The algorithms will be further extended to graph-structured data. Applications of AML will also be investigated to
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Overview Title Honours and PhD Scholarships – Energetic Materials Research Network (EMRNet) College Opening date 13-04-2026 Closing date 11-01-2027 Scholarship value ( Honours - $7,500 ) ( PhD
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data. Yet, their reliability remains a serious concern. This project aims to first explore current techniques such as fine-tuning, model alignment, prompt engineering and Retrieval Augmented
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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 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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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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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