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Recent Projects
Team
Industrial Asbestos Roofing Detection and Quantification - NSW EPA & ASSEA
This project aimed to detect and quantify asbestos containing material roofing within industrial and commercial areas of NSW by employing AI methodologies. Through this project an Asbestos - Community Exposure Risk Assessment (A-CERA) tool was developed to rank detected industrial and commercial asbestos Super 6 roofs, based on the potential community exposure.
Gympie Growth Model – Regional Gympie Council
This project provided updates to the previous property-based Gympie Growth Model developed by UACS. GIS, big data handling, and modelling best practices were undertaken to update the Model while ensuring adherence to its requirements and quality.
Tweed Growth Model – Tweed Shire Council
This project incorporated best practises in data science, modelling standards and big data analysis to forecast population and employment at a parcel level for Tweed Shire Council.
High Amenity Areas Tool Development & Refinement – DSDILGP
This project comprised the use of data science’s best practises to create a multi-criteria model designed to identify High Amenity Areas in SEQ for the Department of State Development Infrastructure Local Government and Planning (DSDILGP).
Planning for Climate-resilient Urban WASH in Pacific Islands
This project was successful in detecting informal settlements across a large-scale area using accessible approaches including artificial intelligence modelling methods and open-source software.
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