We design smarter technologies
At PRaDA we work on diverse projects, using data insights to address real-world problems. We advance theory across a range of statistical methods, from optimisation to probabilistic techniques.
Our vision is to uncover what data can do and harness that knowledge. We want to deliver new technologies that are industry-specific and efficient, increasing productivity and helping businesses be cost-effective. We are data-domain agnostic.
The availability of data and advances in machine learning is allowing us to transform fields as diverse as health and security.
DIRECTOR OF PRADA
Meet just a few of our leading researchers producing world-class outcomes.
Our TOBY Playpad helps children with autism
Our research to help children with autism has provided a useful digital app, TOBY, to assist in the early stages of learning. It delivers stimulus through a syllabus of tasks, monitors children's performance on these tasks and adjusts lessons accordingly, adapting to their needs.
Thanks to this adaptive early intervention program, children living with autism are learning new social, cognitive and sensory skills.
Join our research team
To become a PRaDA research student you need a clear vision of what you want to investigate through data, through state-of-the-art machine learning.
In just a few steps you could be helping to make the world a better place through major technological advances using big and lean data.
Find a supervisor at PRaDA
Once you know what you want to do, discuss your proposal with a potential supervisor at PRaDA. Ask our staff if they have time to supervise you, if they specialise in the area you want to focus on and if they like the sound of your proposal.
PRaDA's successful start-ups
PRaDA's work has resulted in two start-ups. TOBY Autism Therapy is an app that provides tailored learning for children with autism, and iCetana is intelligent video surveillance software detects potential security threats in large data sets.
Developing a life-saving healthcare app
Professor Venkatesh's team of researchers have set up a health analytics program that uses data to help doctors to predict risk and adverse events. It predicts suicide risk, the risk of preterm birth, and the risk of toxicity in cancer treatment. From this program they've created iHosp, a software platform that will improve hospital efficiency and patient care. iHosp is being trialled by our industry partner, Barwon Health.
Centre for Pattern Recognition and Data Analytics (PRaDA)
+61 3 5227 1266
School of Information Technology
Locked Bag 20000
Geelong VIC 3220