Digital Research and Innovation Capability Platform


Swinburne University of technology will soon be launching the Digital Research and Innovation Capability Platform. This has been developed to provide a unique, high-level enabling capability and a clear pathway to innovation and commercialisation at the university. The platform is being led by Prof Yang Xiang, and aims to position Swinburne as an internationally renowned institute in digital research, a digital disruptor, and an accelerator of innovation. The platform consists of five components:

  • Advanced Visualisation Lab – data visualisation uses a combination of hardware and software to explore patterns and relationships in research data, giving researchers greater understanding of their projects and potential outcomes. In this era of big Data, traditional approaches to visualisation are being challenged. The Advanced Visualisation Lab explores new techniques and technologies to produce the most effective visualisation tools available for a wide range of research and industries.
  • Cybersecurity Lab – the security of the world’s information systems is not limited to websites and data storage. Recent concerns about cyber security have even extended to ensuring biomedical devices, such as pacemakers, cannot be hacked to reduce battery life. Swinburne’s Cybersecurity Lab is researching and developing technologies to protect our current and future information systems and networks on all levels: nationally and internationally for individuals, businesses and government.
  • Intelligent Data Analytics Lab – in the era of big data, data analytics underpins the data-intensive research that responds to industrial challenges. Artificial intelligence (AI) has developed into the most powerful data analytics technology in recent years, leading to remarkable breakthroughs in many fields, including sectors as varied as information and communications technology, finance, health, transportation and manufacturing. The Intelligent Data Analytics Lab focuses on the research and applications of AI techniques for tackling versatile real-world data analysis tasks across various fields with the aim of facilitating the data-to-discovery or data-to-decision process.
  • Internet of Things Lab – addressing important challenges in our industries, cities, farms, hospitals, homes, retail chains, personal lives and our society. We collect, integrate and analyse data from potentially billions of internet-connected devices that range from sensors, cameras, smart phones and wearables, to smart meters, vehicles, medication pills, and industrial machines. We do all these securely, in real-time, on the move, and provide data-driven automation and high-value information, developing innovative IoT-based solutions.
  • Software Systems Lab – aims to develop new methods, techniques, mechanisms and tools for building intelligent software systems. These intelligent software systems will enable new generations of applications, products and services in the ever-expanding digital eco-systems in which software, hardware and people interact.

The platform actively undertakes research and development of digital technologies, and translates findings into real-world applications. This synthesis of high-level digital research capability across the university underpins activity at Swinburne’s Research Institutes and the Centres.