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Wood Building Technology The main direction of our research environment is wood building technology and applied mechanics. The research is to a large extent applied and is practised in close…
Welding Mechanics Laboratory (WML) The Welding Mechanics Laboratory research group takes an interest in weld joint related phenomena during a welded structure's entire life time cycle – manufacturing,…
The Bridge A unique partnership between Södra, IKEA, and Linnaeus University that unites academia and industry for innovation and sustainability, focusing on forestry and wood.
Sustainable Built Environment Research Within sustainable built environment, we conduct cutting-edge research linked to sustainable development, especially system analysis studies of bioenergy,…
Structural Health Monitoring Within the area of structural health monitoring (SHM), data is collected from buildings and structures and automatically analyzed. The results are used to detect…
Strength Grading of Timber Timber exhibits large variations in mechanical properties, which makes grading of timber into appropriate strength classes important for the competitiveness towards other…
Smart Industry Group Smart Industry Group (SIG) is an interdisciplinary research group featuring expertise from computer science and mechanical engineering. SIG's focus is making production and…
Small-scale Forestry The Small-scale forestry research group develops educational concepts and conducts research projects related to small-scale forestry and forest ownership. The Department of…
Seed projekt: How will the acorns of the future be affected by rising carbon dioxide levels? Acorns play a vital role in ecosystems – both as the next generation of oak trees and as a food source for…
Seed project: Vibration-based strength grading of sawn timber The main objective for this seed project within Linnaeus University Centre for Data Intensive Sciences and Applications (DISA) was to…
Seed project: Tree species in the secret forest Creation of a path for demonstrating habitat types and tree species succession in southern Swedish forests.
Seed project: The green transformation of the Swedish pulp and paper industry This project investigates the green transformation of the Swedish pulp and paper industry in response to stricter…
Seed project: Machine learning stabilized steady-state advective-diffusive heat transport This seed project aims to explore and use the strengths of Scientific Machine Learning (SciML) to solve the…
Seed project: Machine learning for predicting the mechanical properties of high performance oxynitride glasses This project aims to develop a machine learning (ML) model to predict the mechanical…
Seed project: IoT for ships – an untapped data resource The main objective for this seed project within Linnaeus University Centre for Data Intensive Sciences and Applications (DISA) is to establish…
Seed project: Human and technology in collaboration – weather stations strengthening local forest fire preparedness The project aims to strengthen local community preparedness for forest fires by…
Seed project: Exploring data and establishing routines for collaboration on energy experiments The main objective for this seed project within Linnaeus University Centre for Data Intensive Sciences…
Seed project: European spruce bark beetles; advanced predictive forecasting by means of machine learning The main objective for this seed project within Linnaeus University Centre for Data Intensive…