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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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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
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behaviour. Natural language processing algorithms are utilized to examine vast amounts of textual data, identifying keywords, phrases, and sentiment that may indicate extremist views or intentions
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without Centralized Training Data”, https://ai.googleblog.com/2017/04/federated-learning-collaborative.html [2] “Learning with Privacy at Scale”, https://machinelearning.apple.com/research/learning
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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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Primary supervisor David Dowe Co-supervisors Nenad Macesic Research area Data Science and Artificial Intelligence Antimicrobial resistance (AMR) is one of the most significant and immediate threats
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[Malaysia Campus- VPSSP] An AI-Informed Planetary Health Framework for Equitable AMR Risk Mitigation
Primary supervisor Sicily Fung Fung Ting Co-supervisors KokSheik Wong Dr Patrick Tan Hock Siew Prof. Qasim Ayub Dr. Sara Subhan Dr. Aswini L. Loganathan Research area Data Science and Artificial
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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