Signal Processing Advanced Techniques for Sustainable Research
OBJECTIVES
To develop advanced signal processing techniques to improve sustainability in construction
Review current signal processing methods used in recycling and construction
Create new tools to enhance the performance of recycled concrete and other materials
Team
Vivian Tam
Lead Researcher
Partners
Western Sydney University
Progress
SUMMARY
This project, led by Western Sydney University, is testing how advanced signal processing can boost the use of recycled materials in construction. The research team has gathered experimental data on recycled concrete and is now working to fine-tune its performance using improved signal processing methods. These techniques aim to make construction more sustainable by improving material quality and performance.
OPPORTUNITIES
Access to future research funding focused on digital tools and sustainability
Partnerships with government and industry to apply these solutions in projects
Development of new methods that could change how recycled materials are tested and used
Potential for wider research applications in other sustainability projects
AS SEEN IN
Automation in Construction, 166(10), 105622 Yao, Y., Tam, W. Y. Vivian, Wang, J., Le, K. N. and Butera, A. (2024), “Automated construction scheduling using deep reinforcement learning with valid action sampling”