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Primary supervisor Zhaolin Chen Research area Data Science and Artificial Intelligence Portable point of care medical devices have revolutionised the way in which people receive medical treatment. It can bring timely and adequate care to people in need but also opens up the opportunity to...
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develop a concrete cryptographic algorithm. Although desired, background in advanced cryptography is not a must. It is also a plus to have some programming experience. Implementation of a PET algorithm
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popular tools applied to the production and creation of works of art. In 2018, AI Art made headlines around the world when a “work of art created by an algorithm” was sold at auction by Christie’s for
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and GWAS methodology Machine learning approaches for high-dimensional data Algorithm development and evaluation Applications of AI in biomedical research This project is suitable for students with an
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and GWAS methodology Machine learning approaches for high-dimensional data Algorithm development and evaluation Applications of AI in biomedical research This project is suitable for students with an
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and understanding protein structures, but expert supervision is required in the development, training and deployment of these models into automation scenarios. We seek to develop a human-centred AI
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pursue a deeper understanding of humans and machines and the meaning this has for our future and the development of safe AI. To do this project you would need to apply for a Monash Scholarship. Required
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pursue a deeper understanding of humans and machines and the meaning this has for our future and the development of safe AI. To do this project you would need to apply for a Monash Scholarship. Required
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publications, citations or scientific careers to test the implications of a model. References Fortunato, S. et al. “Science of science.” Science 359 (2018): eaao0185. https://doi.org/10.1126
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publications, citations or scientific careers to test the implications of a model. References Fortunato, S. et al. “Science of science.” Science 359 (2018): eaao0185. https://doi.org/10.1126