Wood Aging Visualization and Estimation – WAVE
Research project
02/2025 - 08/2027
Project volume:169.984 EURO
Competence field:Wood as a raw material, Timber construction
Cooperation:Strategic cooperation
Funding partner:Federal funding, EU funding
The project investigates dose-dependent colour changes in wood. Machine learning (ML) models are developed, trained, and optimised using a range of artificial intelligence (AI) algorithms. The aim is to enable accurate predictions and analysis of wood ageing processes based on empirical research datasets, generating robust and reliable results.
Project leader:
February 2025 to September 2025: Prof. Dr.-Ing. Alexander Pfriem
October 2025 to August 2027: Prof. Dr Tobias Cremer
The project investigates dose-dependent colour changes in wood.
Kick-off meeting with the project partners from TH Wildau.
Contact
General contact
Claudia LenzResearch assistant (Chemistry and Physics of Wood) & Internship Coordinator HIW
Project manager
Prof. Dr. Tobias CremerProfessor of Forest Utilisation and Timber Markets
Through this project, we are bringing research and practice together to not only deepen our understanding of wood as a sustainable building material, but also to optimise its use in a digitalised world.
Prof. Dr.-Ing. Alexander Pfriem
Project Manager
Funding partner
State funding
Partnerships
Strategic partnerships
