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Tomas Olsson

Senior Rsearcher

Tel +46 70 783 15 47


Location Västerås

Unit Digitala plattformar (102203)

ORCID 0000-0002-9890-4918

Tomas has been working as a researcher and software developer at RISE SICS since 1998. He has a long experience in both software development and in data analysis. His research interests are in applied statistical machine learning.

1998 M. Sc. Computer Science, KTH
2006 Ph.Lic. Computer Science, Uppsala University
2015 Ph.D. Computer Science, Mälardalen University

Selected publications:
Olsson, T., Ramentol, E., Rahman, M., Oostveen, M., & Kyprianidis, K. (2021). A data-driven approach for predicting long-term degradation of a fleet of micro gas turbines. Energy and AI, 100064.

Ramentol, E., Olsson, T., & Barua, S. (2021). Machine Learning Models for Industrial Applications. In AI and Learning Systems-Industrial Applications and Future Directions. IntechOpen.

Källström, E., Olsson, T., Lindström, J., Håkansson, L., & Larsson, J. (2018). On-board Clutch Slippage Detection and Diagnosis in Heavy Duty Machine. International Journal of Prognostics and Health Management, 9(1).

Emruli, B., Olsson, T., & Hoist, A. (2017). PyISC : A Bayesian anomaly detection framework for python. In FLAIRS 2017 - Proceedings of the 30th International Florida Artificial Intelligence Research Society Conference (pp. 514–519).

Nessen, T, Nyfjord, J, Olsson, T, Andrén, D, Larsson, S, Wikström, A, Cedergren, S. (2017). Towards a predictive model for delivering product development projects on time. 24th Innovation and Product Development Management Conference, Reykjavik.

Olsson, T., Xiong, N., Källström, E., Holst, A., & Funk, P. (2015). Fault Diagnosis via Fusion of Information from a Case Stream. In International Conference on Case-Based Reasoning (pp. 275-289). Springer, Cham.

Olsson, T., Gillblad, D., Funk, P., & Xiong, N. (2014). Case-based reasoning for explaining probabilistic machine learning. International Journal of Computer Science and Information Technology, 6(2), 87-101.

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