IntelliSensing
Overview
5 minutes with Professor Tristan Perez
Tristan Perez'My field is a mix of engineering and applied mathematics. What I like and what inspires me is that we use this knowledge to solve problems for the good of our society and the environment. I view the world in terms of systems and their mathematical models, which enables me to work and collaborate with industry and researchers in areas such as robotics, agriculture, econometrics, mining, biology, ecology, marine and aerospace vehicles, and health.'
Our research tackles the grand economic, social and environmental challenges facing the world this century. IntelliSensing is about transforming data collection, modelling, analytics and decision-making to address real-world challenges in the built, natural and virtual environment. This is an enabling platform that can solve a wide range of problems for industry and society by introducing new technologies, techniques and systems.
Real-world trends
Governments, businesses and individuals often suffer from data overload and yet lack the critical information they need to make sound decisions and address management problems.
Society is also on the cusp of a revolution in the way we sense and interact with the world. Technological advances in robotics, autonomous systems, sensor networks, and mobile and wearable devices are generating extraordinary volumes of data and giving us unprecedented power to extract key information that helps us understand and manage natural and built environments. This revolution will transform a wide range of industries and sectors as well as the policy-making processes of governments.
Grand challenges
The grand challenges the world must address in IntelliSensing are:
- developing technologies and methods for collecting and analysing large amounts of data to increase situational awareness and gain new insights
- harnessing key information to make our natural and built environments more resilient, secure and sustainable (socially, economically and environmentally)
- designing sensing and data analysis infrastructure with economies of scale for solving management problems and making critical decisions
- addressing society’s concerns about policy and law governing robotic and sensing technologies.
Our research strategy
Impact
Our research is designed to drive these changes in the real world:
- many industries increase their productivity through IntelliSensing
- IntelliSensing enhances decision-making for triple-bottom-line (financial, social and environmental) sustainability
- new digital-physical markets and businesses are formed.
Focus
We are investigating how to:
- create robots and autonomous systems that augment our capacity to perceive, think and act by sensing and responding to their environments
- design innovative sensing and visualisation tools that allow governments, businesses and individuals to easily access and digest large volumes of data
- develop mathematical models, analytics tools and control strategies that facilitate the rapid integration, dissemination and interpretation of large and complex data sets and improve decision-making
- overcome barriers to the adoption of intellisensing technologies by addressing concerns relating to privacy, security and trust.
Research centres and facilities
We work with and at several specialist research centres and facilities, including:
People
We draw on the broad expertise of QUT's six faculties, assembling teams of researchers from different disciplines to work on large-scale projects relating to our natural, built and virtual environments.
Enabling platform leader
Leadership team
Science and Engineering Faculty
- Dr Matthew Dunbabin
- Dr Erin Peterson
- Dr Grant Hamilton
- Professor Ian Turner
- Distinguished Professor Kerrie Mengersen
- Professor Jonathan Roberts
- Professor Troy Farrell
- Dr Kate Devitt
- Associate Professor Jim Hogan
- Associate Professor Felipe Gonzalez
QUT Business School
Knowledge to Innovation Broker
Projects
Digital agriculture
QUT researchers work with government and industry partners to deliver practical digital solutions for agriculture and food production systems through the use of robotics and autonomous systems, sensing, data analytics and agri-intelligence.
Partnership enquiries
Contact Dr Mark Gibbs, our Knowledge to Innovation Broker, about research partnership opportunities with us.