Projects per year
Personal profile
Expertise area
I work with data, it can be for example design or measurement data. I can process, analyse and mine information in model or data driven manner to gain information from the data. Methods include, for example, using big data or machine learning.
Research interests
Data analysis, data science, data engineering
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Computer sciences, Master, Advanced Studies in Machine Learning, Tampere University
2017 → 2024
Engineering, Master, Process and Safety Engineering, Tampere University of Technology (TUT)
2013 → 2016
Engineering, Bachelor, Tampere University of Technology (TUT)
2009 → 2013
Fingerprint
Dive into the research topics where Joonas Linnosmaa is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
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WoodCensus: Automatized reconstruction of wood cell wall nanostructure from X-ray scattering patterns
Paajanen, A. (Manager), Verho, T. (Participant), Linnosmaa, J. (Participant) & Aho, J. (Participant)
1/01/24 → 31/12/26
Project: Research Council of Finland
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AIMODE: Development of Artificial Intelligence and Machine Learning for Online Perception and Operating Mode Optimization in Process Industry
Linnosmaa, J. (Manager), Seppi, M. (Participant), Zeb, A. (Participant), Saarela, O. (Participant), Verma, N. (Participant), Freimane, L. (Participant), Aho, J. (Participant) & Tahkola, M. (Participant)
1/09/22 → 31/08/25
Project: Business Finland project
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COMMA: Connected Mobile Machine Lifetime Cyber Security
Malm, T. (Manager), Heikkilä, E. (Participant), Tiusanen, R. (Participant), Berger, J. (Participant), Alanen, J. (Participant), Linnosmaa, J. (Participant), Salonen, J. (Participant), Dalla Costa, A. (Participant) & Papakonstantinou, N. (Participant)
2/05/22 → 1/05/24
Project: Business Finland project
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SEARCH: Safety and security assessment of overall I&C architectures
Pakonen, A. (Manager), Alanen, J. (Participant), Björkman, K. (Participant), Linnosmaa, J. (Participant), Papakonstantinou, N. (Participant), Malm, T. (Participant), Helminen, A. (Participant), Biswas, P. (Participant), Pärssinen, J. (Participant), Raitio, P. (Participant), Vyatkin, V. (Participant), Ovsiannikova, P. (Participant) & Buzhinsky, I. (Participant)
1/02/19 → 31/01/23
Project: Research
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SAUNA: Integrated safety assessment and justification of nuclear power plant automation
Pakonen, A. (Manager), Tommila, T. (Participant), Alanen, J. (Participant), Björkman, K. (Participant), Laarni, J. (Participant), Lahtinen, J. (Participant), Oedewald, P. (Participant), Papakonstantinou, N. (Participant), Reiman, T. (Participant), Tyrväinen, T. (Participant), Valkonen, J. (Participant), Koskinen, H. (Participant), Porthin, M. (Participant), Savioja, P. (Participant), Linnosmaa, J. (Participant), Vyatkin, V. (Participant), Pang, C. (Participant), Buzhinsky, I. (Participant), Varkoi, T. (Participant), Nevalainen, R. (Participant), Holmberg, J.-E. (Participant), Uusitalo, E. (Participant) & Koskela, M. (Participant)
1/02/15 → 31/01/19
Project: Research
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A systematic data preprocessing approach based on Three-Tier architecture: Ensuring reproducibility, version control, and use of cleaned data for digital twins in mineral processing
Verma, N. & Linnosmaa, J., 2025, 2025 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA). IEEE Institute of Electrical and Electronic EngineersResearch output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
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Connected Mobile Machine Lifetime Cyber Security (COMMA) – Project results
Malm, T., Berger, J., Salonen, J., Linnosmaa, J., Ranta, A., Seppälä, J., Silverajan, B., Zhao, H., Heikkilä, M., Järveläinen, J. & Panina, E., 10 Jan 2025, VTT Technical Research Centre of Finland. 13 p.Research output: Book/Report › Report
Open AccessFile108 Downloads (Pure) -
Development of Artificial Intelligence and Machine Learning for Online Perception and Operating Mode Optimization in Process Industry (AIMODE) - Project results
Linnosmaa, J., Seppi, M., Zeb, A., Verma, N. & Freimane, L., 13 Oct 2025, VTT Technical Research Centre of Finland. 13 p. (VTT Research Report; No. VTT-R-00442-25).Research output: Book/Report › Report
Open AccessFile39 Downloads (Pure) -
Dynamic process optimization using data-driven surrogate models: Application to mineral processing
Zeb, A., Linnosmaa, J., Seppi, M., Verma, N. & Freimane, L., 13 Nov 2025.Research output: Contribution to conference › Conference Poster › Professional
Open AccessFile5 Downloads (Pure) -
Forecasting Process Output using Machine Learning Surrogates and Digital Twin
Seppi, M., Linnosmaa, J. & Zeb, A., 2025, Nuclear Plant Instrumentation and Control & Human-Machine Interface Technology (NPIC&HMIT 2025). American Nuclear Society (ANS), p. 434-443Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
File28 Downloads (Pure)