Engineering & Technology
From robotics to medical technology. From skyscrapers to startups. Stories from our pioneering Engineering and IT researchers.
Forecasting the cycle of epileptic seizures
New University of Melbourne research confirms most people experience epileptic seizures in cycles, and a new seizure forecasting app can help them plan.
How do we grow Australia’s eSports industry?
University of Melbourne research finds competitive video gaming is big business, but Australia needs to do more to increase its presence in the eSports arena.
What were you thinking?
University of Melbourne research explores Explainable AI which seeks to understand why AI makes some decisions and their correctness, fairness and transparency.
Decoding data to predict landslides
New software from the University of Melbourne can predict landslides two weeks before they happen, potentially predicting mine collapses and other disasters.
Holding a black mirror up to artificial intelligence
University of Melbourne research has developed the Biometric Mirror –an interactive application that shows how you may be perceived by others. But it’s flawed.
The enigma of the ACL
More people than even are injuring their ACL; University of Melbourne PhD candidate Raneem Haddara is focussing on preventing the injury, rather than curing it.
Crowdsourcing security intelligence
Inspired by how bees make collective decisions, University of Melbourne researchers are exploring how crowdsourcing techniques may help intelligence analysis
The hard science behind surviving a zombie attack
As Xbox releases its survival game, State of Decay 2, the developers called on a University of Melbourne disaster expert to model a zombie outbreak in Australia
The key to unlocking your privacy
More government services, like the New Zealand census, are moving online; University of Melbourne experts look at whether we should trust that our data is safe.
The limits of modelling: Knowing we don’t know
Modelling the impact on groundwater of mine developments is critical but a University of Melbourne expert warns that we need to understand the limits of models