Smart Technologies and Mathematics
From sensor and advanced technologies, to big data analytics, advances in Smart Technologies and Mathematics are transforming society. Our research is at the forefront of data-driven decision-making and technological innovation.
Our Smart Technologies and Mathematics researchers specialise in data and decision sciences—developing advanced techniques and technologies for interrogating data where a decision or prediction is required. Through the use of data analytics and modelling, and machine learning, researchers can predict and optimise outcomes—especially in uncertain environments. Such methods can also be utilised to provide new insights into complex systems.
Particular areas of focus include:
- sensing technologies in energy and water
- mathematical and statistical analysis
- machine-learning techniques
- advanced new materials
- intelligent and autonomous technologies
- resource optimisation.
Our research aims to provide industry with advanced tools and techniques to improve performance, environmental impact, efficiency and safety. We also design, build and test new materials and technologies. Our research has led to the development of:
- technology which facilitates tracking of targets across surveillance camera networks, without relying on characterisation of their appearance. This enhances surveillance footage effectiveness for live and forensic purposes;
- a world-first hazard perception test, which assesses a novice motorcyclist’s ability to detect road hazards;
- evidence that catastrophic disintegration of Antarctic ice shelves is triggered by sea ice loss and ocean wave impacts;
- algorithms used to estimate the transmissibility and severity of infectious disease in the event of a pandemic.
Strong industry links
Our Smart Technologies and Mathematics research addresses problems faced by different industries. It can be applied to resolve challenges, and provide greater insight and understanding, in a number of areas, including:
- agriculture and agri-food
- artificial intelligence
- city and infrastructure planning
This much we know: biodiverse urban green spaces are good for us. Research has shown that people regularly exposed to them feel better, exercise more, and have lower rates of disease; while those in areas experiencing biodiversity loss—a common symptom of urbanisation—appear to exhibit declining health.
Civilisations and their governments have always sought to provide urban transportation systems that enable citizens to get from A to B with minimum fuss. But thanks to a new wave of technological innovation, Smart Cities are set to achieve higher levels of transport safety and efficiency than previously thought possible; and the University of Adelaide is one of the movement’s key drivers.
The concept of Smart Cities is often linked with the use of advanced “big data” technology to inform safer, more efficient services and living environments. Yet this is only part of the story. In addition to providing faster, more affordable and lower-risk access to basic needs, Smart Cities also seek to enrich their citizens’ experiences of their environment.
As the Smart Cities movement gathers momentum worldwide, a new generation of University of Adelaide students is preparing to take our urban lives to entirely new levels of sophistication, satisfaction and sustainability.
On paper, smart technology would appear capable of supporting and enhancing virtually every aspect of urban life. But in real world applications, of course, technological capability is no guarantee of success.
Associated research centres and institutes
- Australian Centre for Robotic Vision
- Australian Institute for Machine Learning
- Australian Research Council Centre of Excellence for Mathematical and Statistical Frontiers
- Centre for Automotive Safety Research (CASR)
- Centre for Defence Communications and Information Networking
- Data to Decisions CRC
- Institute for Geometry and its Applications
- NHMRC Centre for Research Excellence in Policy Relevant Infectious Diseases Simulation and Mathematical Modelling
- Smart Cities
- Teletraffic Research Centre (TRC)
Our research capabilities
- Acoustics Vibration and Control
- Communications Engineering
- Complex System Analysis
- Computer Vision and Robotics
- Data Analytics
- Distributed and Intelligent Technologies
- Dynamics, Modelling and Computation
- Electric Power Systems
- Intelligent Water Decisions
- Internet of Things and Computer Security
- Laser Diagnostics and Chemical Sensing
- Learning Analytics and Learning Technologies
- Machine Learning and Artificial Intelligence
- Mechanics of Materials and Advanced Manufacturing
- Mining and Geoengineering
- Optimisation and Logistics
- Pure Mathematics
- Road User Safety
- Robotics and Automation
- Safe Road Infrastructure
- Safe Speeds
- Safer Vehicles
- Software Engineering
- Sports Engineering and Biomechanics
- Stochastic Modelling and Operations Research
- Structural Engineering and Materials for Civil Infrastructure
- Systems and Control
- Understanding Crashes