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Grant Award View - GA64670-V3
Towards a Reliable and Explainable Health Monitoring and Caring System
GA ID:
GA64670-V3
Agency:
Australian Research Council
Approval Date:
4-Dec-2019
Variation Publish Date:
14-Oct-2021
Variation Date:
12-Oct-2021
Category:
Science, Technology, Engineering and Mathematics (STEM) Research
Grant Term:
3-Aug-2020 to 2-Aug-2023
Value (AUD):
$418,998.00
(GST inclusive where applicable)
Varies:
GA64670
- Towards a Reliable and Explainable Health Monitoring and Caring System
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 19/20 Discovery
Grant Program:
Discovery Early Career Researcher Award
Grant Activity:
Towards a Reliable and Explainable Health Monitoring and Caring System
Purpose:
This project aims to unleash the power of deep learning on health monitoring and caring domain through a safe, reliable and explainable way. Its innovations lie on 1) developing a set of robust and explainable deep learning models that are guaranteed to be safe to complex environmental uncertainty; 2) designing an intelligent health monitoring and caring platform, powered by robust deep learning models, to better support the home-based health monitoring and caring for the elderly. The result will enable end-users to trust the decisions of deep learning models in safety-critical systems and significantly contribute to Australian aging society and national healthcare economy.
GO ID:
GO Title:
Discovery Early Career Researcher Award for funding commencing in 2020
Internal Reference ID:
DE20 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
Macquarie University
Recipient ABN:
90 952 801 237
Grant Recipient Location
Suburb:
MACQUARIE UNIVERSITY
Town/City:
MACQUARIE UNIVERSITY
Postcode:
2109
State/Territory:
NSW
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
NSW
Postcode:
2109
Country:
AUSTRALIA