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Machine Learning, Luleå University of Technology Photo: Linda Alfredsson
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Machine Learning – "Vision for Life"

Teaching Machines for the Welfare of Society

Targets fundamental and application oriented research in Machine Learning and Artificial Intelligence, including deep learning, pattern recognition, and human computer interaction; with applications in digital humanities, education, document analysis, and Industry 4.0.

The Machine Learning group is guided by Marcus Liwicki and has 3 further faculty members, as well as 6 post-doctoral researchers and several PhD students and Research engineers. As of 2021, we reached gender balance in our group (more than 40% members of each gender). Furthermore, we are collaborating with numerous international researchers who visit us as guest researchers. This young research group just started in July 2018 and has been growing to more than 20 members within just 3 years. Our tiers to many other research groups (within SRT and across departments) are very strong, which gives us a great overview of most AI activities at LTU and made Marcus becoming Vice-rector for Applied AI in 2021.

Research Article EISLAB Machine learning group LTU
Our research

We perform research in various areas of Machine Learning and Artificial Intelligence, including deep learning, pattern recognition, and human computer interaction; with applications in digital humanities, education, document analysis, and Industry 4.0.

Marcus Liwicki, Luleå University of Technology
“Robots can be good co-existing companions”

The research subject of Machine Learning establishes at Luleå University of Technolgy. – I am full of energy to steer the area of Machine Learning in a successful direction, says Marcus Liwicki, Chaired Professor of Machine Learning.

Marcus Liwicki
Marcus Liwicki Professor and Head of Subject, Deputy Vice-Chancellor for applied AI
Luleå University of Technology
Machine Learning
Embedded Intelligent Systems LAB
Department of Computer Science, Electrical and Space Engineering
+46 (0)920 491006
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SDL 2.0

The Swedish Space Data Lab was initiated in 2019 as a collaboration project between AI Sweden, the Swedish National Space Agency, RISE Research Institutes of Sweden, and Luleå University of Technology.

Boliden area, drill core archive
ML4DrillCore

ML4DrillCore: Fusing Machine Learning and Computer Vision Techniques for Automatic Drill Core Analysis on Visual and Compositional Data