Responding to new information technologies and data collection methods that are disrupting society by engaging our experts across multiple disciplines.
We inform researchers and the wider community about how to exploit disruptions caused by the steep increase in data, communications and sensors; deep advances in automation; new energy production; and, the challenges of cyber security.
Our work covers four key areas: data and sensors focuses on the capture, communication, collation, and analysis of data; automation and intelligence concentrates on the understanding and exploitation of data; energy production and systems examines energy systems, user behaviour and integrated predictive control of networks; and, cyber security examines how we can better protect the profusion of computational systems in our society.
The research skills and competencies within this ECP can be applied to any sector or organisation, regardless of size or stage of development. The primary areas where our expertise will be directed are indicated below.
Research and innovation priorities
Data, telecommunications, and sensors
Focusing on data capture, collation and analysis and telecommunications. This area encompasses:
- radio frequency and microwave systems;
- wireless, optical, mobile and satellite networks;
- sensing and gathering data;
- data storage, retrieval, and analysis;
- signal/image processing; and
- data visualisation and insight.
Automation and intelligence
This area focuses on how to understand and exploit data.
It covers using data-focused computational and mathematical tools to optimally design, predictively model, prescriptively simulate, and intelligently control the operation of complex cyber and physical systems.
Energy production and transformation
This area focuses on the production of energy from advanced and renewable energy sources, and its transformation into electrical form for distribution and consumer usage with maximum efficiency, minimum losses and reduced greenhouse gas emissions.
Focusing on protecting the profusion of computational systems in our society.
This encompasses all aspects of cyber security, including:
- hardware and software development;
- privacy and detecting intrusion;
- systems design;
- management; and
- public policy.
Key application areas
- Data analytics, including using ‘big data’ to drive industrial efficiencies
- Energy supply and use
- Images and video innovation
- 5G systems and networks
- Autonomous and automated systems
- Cyber-physical systems and automation
- Cyber security
Priority Industry Sectors
- Manufacturing and fabrication
- Local, State and Federal government
- Energy retail and distribution
- Global corporations and supply chains
Computational Biology and Bioinformatics Network
A Computational Biology and Bioinformatics Network (CBBN) has been established at RMIT and is connecting with external networks and industry to support collaborative research partnerships and funding applications for future research programs. This project includes a focus on accelerating research opportunities and outcomes in glycoinformatics – a relatively new field of bioinformatics that studies the structure, actions and interactions of carbohydrates.
Intelligent building asset management system
RMIT is partnering with a leading property compliance firm and a major inner metropolitan council to develop and trial a new generation intelligent building asset management and inspection system. The new system combines predictive modelling software with integrated data capture and analytical technologies, including automated sensors. It has the potential to reduce building inspection times by 50 per cent and accurately predict which buildings to prioritise for maintenance or renewal. Around 70 per cent of community buildings in Australia are beyond their original design life and councils are keen to shift from reactive to proactive building maintenance and renewal programs.