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work by Matt Gordon

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Predicting Recoverable Material Stock in Buildings : Using Machine Learning with Demolition Audit Data as a Case Study
N. Kobylinska, D. Raghu, M. Gordon, J. Hunhevicz, C. De Wolf
presented at the EC3 Conference 2023
doi: 10.35490/EC3.2023.184

Calculating Embodied Carbon for Reused Structural Components with Laser Scanning
B. Byers, M. Gordon, O. Iuorio, C. De Wolf
presented at the IALCCE Conference 2023
doi: 10.1201/9781003323020-15

Automating Building Element Detection for Deconstruction Planning and Material Reuse: A Case Study
M. Gordon, A. Batallé, C. De Wolf, A. Sollazzo, A. Dubor, and T. Wang
Automation in Construction, vol. 146, p. 104697, Feb. 2023,
doi: 10.1016/j.autcon.2022.104697

Reality Capture and Site-scanning Techniques for Material Reuse Planning
Z. Xiong, M. Gordon, B. Byers, and C. De Wolf
presented at the IASS Annual Symposium and Asia-Pacific Conference on Spatial Structures: Innovation, Sustainability and Legacy (IASS/APCS 2022), Sep. 2022, p. 88.
doi: 10.3929/ethz-b-000580345

Mattersite : Circularizing Demolition Waste with Digitization and Machine Learning Strategies
M. Gordon
Masters Thesis - Institute for Advanced Architecture of Catalonia, Barcelona, 2021

Material (data) Intelligence - Towards a Circular Building Environment
A. Batalle Garcia, I. Y. Cebeci, R. Vargas Calvo, and M. Gordon
in PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 361-370, CUMINCAD, 2021
doi: https://doi.org/10.52842/conf.caadria.2021.1.361