AI for Early Detection of Neurodegenerative Disorder in Elderly

Project overview

Project title

AI for Early Detection of Neurodegenerative Disorder in Elderly: An Exploratory Study

Project description

This Project aims to develop outcome measures for early detection of neurodegenerative disorders using artificial intelligence (AI) and various sensing modalities, offering personalised support to older adults. The expected outcome is the creation of AI algorithms to detect early signs of neurodegenerative disorders in older adults living independently at home. The potential benefit is early detection of neurodegenerative disorders in older adults, improving quality of life and effective disease management.

Supervisory team

University

Name of university supervisor	Rajib Rana
Name of university	University of Southern Queensland
Email address	Rajib.Rana@unisq.edu.au
Faculty	School of Mathematics, Physics and Computing

CSIRO

Name of CSIRO supervisor	Moid Sandhu
Email address	moid.sandhu@csiro.au
CSIRO Research Unit	Health and Biosecurity

Industry

Name of industry supervisor	Prabal Datta Barua
Name of business/organisation	Cogninet Australia Pty Ltd
Email address	prabal@cogninet.com.au

Further details

Primary location of student	University of Southern Queensland, 487-535 West Street, Darling Heights QLD 4350, Australia
Industry engagement component location	1. Cogninet Australia Pty Ltd, Level 5, 29-37 Bellevue Street, Surry Hills NSW 2010, Australia 2. Oregon Center for Aging & Technology (ORCATECH) at Oregon Health & Science University, 3181 S.W. Sam Jackson Park Road, Portland OR 97239-3098, USA
Other locations	CSIRO Herston, 296 Herston Road, Herston QLD 4006, Australia
Ideal student skillset	Demonstrated experience in programming and system development.   Expertise in Python programming and data analysis.   Experience developing Machine Learning models. TensorFlow or PyTorch is desirable.
Application close date	Open until position filled
Apply	Email the university supervisor Rajib Rana