274 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "OSU" positions at Monash University
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interfaces that automatically highlight design elements of data visualisations and generate narrative to communicate insights (instead of just plotting data). The aim for this PhD is to research, prototype and
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organisations, government agencies, technology giants, and enterprising start-ups -- to exploit the potential of indoor LBS. Consequently, indoor data management has gained significant research attention in the
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site visits. This PhD project aims to leverage innovative spatial computing technologies and proposes Immersive Contextual Data Analytics (ICDA) as a method to address contextual analysis challenges by
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Primary supervisor Patrick Olivier Co-supervisors Lay Ki Soon (Monash Malaysia) Aare Puussaar (Lived Informatics) Research area Action Lab Research data governance is an under-explored issue, and
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Primary supervisor David Taniar Research area Databases and Distributed Systems This project investigates 3Vs of Big Data (e.g Volume, Variety, and Velocity). Volume : Due to the exponential
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Primary supervisor Patrick Olivier Co-supervisors Lay Ki Soon (Monash Malaysia) Aare Puussaar (Lived Informatics) Research area Action Lab Research data governance is an under-explored issue, and
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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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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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Primary supervisor David Dowe Co-supervisors Dr Hieu Nim (Murdoch Children's Research Institute) Prof Mirana Ramialison (Murdoch Children's Research Institute) Research area Data Science and
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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