Information Technology
Adrian Shatte
- Senior Lecturer, Information Technology
- adrian.shatte@jcu.edu.au
Asha Joseph
- Adjunct Research Fellow
- asha.joseph1@jcu.edu.au
Evaluation of DigitalHealth@Home Remote Patient Monitoring Program
Collaborating with Gippsland Primary Health Network, Royal Flying Doctor Service Victoria, and Monash University to evaluate the implementation of DigitalHealth@Home remote patient monitoring tool in regional Victoria.
Augmented Reality to develop primary school students' balancing skills
Partnership with GymbaROO in Victoria to develop and evaluate augmented reality tools and software for developing balancing skills in primary school children.
City of Casey Citizen Engagement Chatbot and Social Isolation Project
Collaboration with City of Casey Council and interdisciplinary colleagues from Nursing to develop GIS tools for evaluating social isolation epidemic in CALD populations of Casey Cardinia regions of Victoria.
Refining the bidirectional encoder representations from transformer (BERT) model for semantic intent classification using Twitter data
Improve classification accuracy on downstream tasks of BERT model in noisy and low-data regimes like Twitter.
Passive monitoring and intervention for fathers' experiencing perinatal distress
Training and evaluating prediction models on social media for fathers' perinatal depression and anxiety.
Harnessing social media and m-health to predict, monitor and intelligently intervene in paternal postpartum depression
Developing and evaluating predictive models for parents' depression and anxiety on social media, informing the development of chatbots and personalised mobile interventions.
Sentiment prediction from social media
This project looks at large scale product recommendation from social media such as YouTube videos and Twitter. We are also developing unity based games for data collection and validation of our algorithms.
Barney Point Turbine Monitoring (Old ID 26341)
Monitoring surface video, underwater video, underwater acoustic and sidescan data streams using AI (January-April 2019) (including monthly regular reporting, final reporting and feasibility analysis), to assess whether the tidal turbine impacts fish and other aquatic organisms during its operations.
Immersive virtual reality in a northern Queensland haemodialysis unit: A cross-over randomised controlled feasibility trial. (Old ID 27236)
This study will explore the feasibility and acceptability of an immersive VR experience for patients attending a north Queensland haemodialysis service and provide information to inform a multi-centre randomised controlled trial. Over the 4 week intervention period, participants will be offered a headset with vision of the local natural environment and with audio. Outcomes will be measured by participants: acceptability and usability of VR; attendance at scheduled dialysis sessions and adherence to lifestyle modifications; wellbeing, anxiety and depression; adverse events such as nausea. The feasibility and acceptability of the equipment from the clinicians’ perspectives will also be explored.
Argument free clustering via boundary extraction for massive point-data Sets
- 2002
- Researchers:Ickjai Lee
Battleship by foot: learning by designing a mixed reality game
- 2006
- Murdoch University
- Researchers:Jason Holdsworth
Partition-distance via the assignment problem
- 2005
- Oxford University Press
- Researchers:Dmitry Konovalov
Sweet spot
- 2011
- Researchers:Jason Holdsworth
Title:
ACM-SIGSPATIAL
Start Date:
01 Jan 2004
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01 Jan 2010
End Date:
01 Jan 2013
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01 Jan 2006
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01 Jan 2009
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01 Jan 2003
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01 Jan 2005
Start Date:
01 Jan 2024
End Date:
01 Jan 2024
Start Date:
01 Jan 2006
Start Date:
01 Jan 2019
End Date:
01 Jan 2024