Smart infrastructure management with data analytics and machine learning.
The Smart Infrastructure Team is a research and development team in the Data Science Institute at University of Technology Sydney. The team is focused on providing data driven solutions for smart prediction, risk evaluation and performance optimization, designed to preserve and extend the service life of long-term infrastructure assets.
Our unique combination of factor analysis, anomaly detection, failure prediction, trend prediction and decision support algorithms are run across the data to identify opportunities for improvement and to recommend commercially viable adjustment to maintenance plans.
We are using advanced machine learning techniques to solve complex challenges in infrastructure management. Our research and publications covers areas such as failure prediction, spatial-temporal analysis, anomaly detection, and many others.Explore our research
We are international front runner in applying artificial intelligence, machine learning and cloud computing technologies in smart infrastructure solutions. We work with government and industry partners on projects covering utilities, energy, telecommunications, and transport.See the impact we created
Our success in state-of-the-art research and commercial applications have been widely recognised by various research and innovation awards and media coverage, including the prestigious Eureka prize, which often referred as "Oscars of Australian science".Find out more
IEEE International Conference on Data Mining, 2019
ACM International Conference on Information and Knowledge Management, 2019
Open Cities | Open Data: Collaborative Cities in the Information Era, 2019
IEEE Transactions on Multimedia, 2019