Projects

Computer science and IT research projects in the School of Science.

Combating fake news on social media: from early detection to intervention

The project aims to detect fake news early to minimise the negative impact of false information. This project expects to devise novel solutions to address technical challenges for detection of fake news with scarce signals.

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Predicting resident deterioration and acute care needs in aged care

The goal for this project is to better equip aged care workers to identify deteriorating residents, so that appropriate care and resources can be provided. 

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DimSim (Deep Intelligence Machine Simulator)

DimSim research is focused on developing a physically accurate, virtual simulation environment, able to simulate the function and performance of RDA’s autonomous vehicles and related systems, in a variety of environmental terrains and variable tactical military scenarios.

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Personalized search over the streaming and heterogeneous social media data

The primary goal of this project is to advance a new class of search engines to provide social network users with the ability to harness the growth of data, where both internal user-generated data and external web data can be systematically captured, continuously retrieved and summarized.

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Machine learning techniques for fuel loss detection at service stations

Working with Environmental Monitoring Solutions (EMS), this project aims to develop effective techniques to identify the sources of fuel losses, such as leaks and calibration errors in underground storage tanks at service stations.

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Microsoft RMIT Cortana Intelligence Institute

Cortana Intelligence Institute is a co-funded initiative between Microsoft Research, Cortana Research and RMIT University, which will drive the next-generation of capabilities for Microsoft’s digital assistant, Cortana.

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Acknowledgement of Country

RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business - Artwork 'Sentient' by Hollie Johnson, Gunaikurnai and Monero Ngarigo.

aboriginal flag
torres strait flag

Acknowledgement of Country

RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business.