Whether it be creating the remotely controlled OzBot robots that are being used by special operations units around the country, using big data to assess the mental health of whole populations, or developing high tech aerospace-grade carbon fibre composites, our researchers are dedicating their know-how to solving 21st century problems through cutting edge smart technologies.
Deakin is a world leader in carbon fibre, short fibre, metals and steel research, electromaterials, corrosion, nanotechnology and composite materials. We are home to the globally unique, open-access carbon fibre/composite research facility, Carbon Nexus, which is supporting the transition to advanced manufacturing in industries as diverse as aerospace, automotive, defence and construction.
In the field of energy, our researchers are making outstanding progress in developing more efficient energy storage systems, including smaller and longer lasting lithium and ion batteries, and high performance solar panels. A team is working with China’s Dongfang Turbine Company to create more efficient composite materials for wind turbines, while another group is exploring the use of graphene to extract hydrogen from water.
Deakin is home to some of the best future-focused engineering and design facilities in the Australian university sector, including the new Centre for Advanced Design in Engineering Training. This centre includes a Cave Automated Virtual Environment, which complements Deakin’s unique Universal Motion Simulator – the first haptically-enabled robot-based motion simulator in the world.
Our engineering and IT researchers are providing robotics, simulation modelling and haptics solutions to clients such as the Department of Defence, aerospace, automotive, logistics and health industries.
As just one example of how Deakin is pioneering research in the new field of big data, an innovative “data mining” initiative is currently being introduced across 10 hospital branches in India by Max Healthcare. This joint project involves using data analytics to work across a large array of medical records – including admissions, diagnosis and computerised registries – to identify critical safety issues and improve efficiencies.