My research groups
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Data Intensive Software Technologies and Applications (DISTA) The research group Data Intensive Software Technologies and Applications studies data-driven approaches, such as machine learning,…
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Linnaeus University Centre for Data Intensive Sciences and Applications The DISA research centre at Linnaeus University focuses its efforts on open questions in collection, analysis and utilization of…
My ongoing research projects
Publications
Article in journal (Refereed)
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Ghanadi, M., Kumar, M., Danielsson, P., Hultgren, G., Barsoum, Z. (2025). Unsupervised machine learning for local stress identification in fatigue analysis of welded joints. Welding in the World. 69. 213-226.
Status: Published -
Kumar, M., Ekevid, T., Löwe, W. (2024). Operator model for wheel loader short-cycle loading handling. Automation in Construction. 167.
Status: Published
Conference paper (Refereed)
- Cramsky, J., Kumar, M., Rieloff, E., Andersson, M., Danielsson, P.O., et al. (2026). Cross-Validation Comparison of Digital Twin Approaches Based on Simulated and Measured Road Roughness for Predicting Component Life in Articulated Haulers. Advances in Lean Manufacturing. 323-333.
- Kumar, M., Löwe, W., Cramsky, J., Danielsson, P. (2023). Driving pattern classification for wheel loaders in different material handling using machine learning. IEEE Transactions on Intelligent Transportation Systems, ITSC. 283-290.
- Kumar, M., Cramsky, J., Löwe, W., Danielsson, P. (2023). A prediction model for exhaust gas regeneration(EGR) clogging using offline and online machinelearning. Commercial Vehicle Technology 2022 : Proceedings of 7th commercial vehicle technology symposium.. 185-198.
Doctoral thesis, comprehensive summary (Other academic)
- Kumar, M. (2026). Digital Twin of Construction Equipment for Enhancing Performance. Doctoral Thesis. Växjö, 010 Publishers. 81.