
Johannes Huber
Adjunct Senior Lecturer
Research subject: Wood and Bionanocomposites
Division: Materials Science
Department of Engineering Sciences and Mathematics
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Skellefteå
About me
My academic work is centred on computational and image-based methods for extracting structural and mechanical information from complex material data. I have a background in mechanical engineering and wood science, and experience in numerical modelling, with particular focus in X-ray CT–based finite element modelling, image analysis, fibre orientation analysis, and machine learning methods for heterogeneous and anisotropic materials. Part of my work in wood science has focused on developing CT-based computational models for predicting the mechanical properties of wood. This has included both predicting future board properties within the log before the first saw cut, and predicting the mechanical properties of reclaimed timber to enable structural reuse and maximise the material’s value.
Within the Wood and Bionanocomposites group, I contribute primarily to the evaluation and interpretation of advanced imaging and scattering data from bio-based materials and bionanomaterials. This includes X-ray CT and synchrotron CT data analysis, general image processing and segmentation, structure-property interpretation, and scattering-based material characterisation, including SAXS, WAXS/SWAXS, and related data evaluation workflows.
In addition to my role at Luleå University of Technology I work as a Business Development Manager at Wood K Plus, in the research area Smart Composites & Surfaces (https://wood-kplus.at/en/research-areas/smart-composites-surfaces/), where I work with research strategy, industrial collaboration, and the development of data-driven approaches for material analysis.
My work connects experimental characterisation, numerical modelling, and data-driven analysis. A recurring focus is the transformation of complex material data into interpretable models and quantitative descriptors that can support material understanding, method development, and industrially relevant research. I also remain active in PhD supervision and in the development of research directions at the interface of materials science, computation, and applied engineering.
ORCID: 0000-0001-9196-0370
LinkedIn: linkedin.com/in/huberjohannes/
Nature's "Where I work", 2025: https://www.nature.com/articles/d41586-025-03044-1
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