467 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Adelaide-University" 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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associated with objects, and data uncertainty. Required knowledge Essential First class Honors or Masters degree including substantial research project, GPA 80%+ from a reputed university Bachelor
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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 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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. 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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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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-Ouellette, S., & Rudzicz, F. (2021). BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data. Frontiers in human neuroscience . [2] https