Contact us
- Data Horizons Research Centre
- E: datahorizons@mq.edu.au
See what's coming up and view information from some of our past ones.
Data Horizons Solvers Group
Our Solvers Group aims to be a community of researchers across the University with a strong interest in developing new data science theory and methods – statistics, machine learning, AI and more.
It is hoped that through our discussion sessions, we bring together a group of colleagues who are enthusiastic about uses of data science to solve interesting and impactful problems in diverse fields.
There are currently no events available at this time. Please check back later for more updates.
Date | Speaker | Title |
---|---|---|
21 February | Prof Simon McMullan | Training a neural network to navigate the brain |
28 February | Dr Nikos Koutras | Open Access and Copyright Law in Australia: Can They Live Together? |
27 March | Dr Natalia Jevglevskaja | The consumer data right: Seizing the benefits, controlling the risks |
24 April | Prof Jie Yang | Training Deep Neural Networks in Tiny Subspaces |
29 May | A/Prof Michael Proctor | The truth is out there, but you might not find it: multidimensional signals and analytic flexibility. |
Date | Speaker | Title |
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26 October | Professor Paul Sowman | Brain networks for health |
2 November | Dr Jia Wu | Graph Mining via Multiple Views |
9 November | Professor Subhas Mukhopadhyay | Combo-sensors: Marriage of Sensors, ML and AI |
16 November | Professor Shlomo Berkovsky | Detecting Personality Traits Using Eye-Tracking Data |
23 November | Dr Antonio Elias Fernandez | Ordering data: simple (?) yet powerful computation for statistical analysis |
30 November | Dr Simon O’Toole | AAO Research Data & Software – An Introduction |
7 December | Professor Niloufer Selvadurai | Considering the effectiveness of Australia’s notifiable data breaches regulatory framework |
14 December | Professor Samuel Muller | Feature selection for high dimensional challenging data – part 1 |
21 December | Associate Professor Abhay Singh | Financial text sentiment and asset classes |
Prof Ian Paulson from the School of Natural Sciences discussed three major opportunities for artificial intelligence/machine learning to help synthetic biology:
His hope is to develop automated approaches to advise synthetic biology design metabolic pathways.
Dr Susan Lupack from the Department of History and Archaeology presented the archaeological fieldwork she is undertaking around the Sanctuary of Hera at Perachora, Greece.
She aims to apply new interpretive tools to the archaeological data to arrive at a more satisfying projection of the population that inhabited the town.