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
Master, Tampere University of Technology (TUT)
2013 → 2016
Bachelor, Tampere University of Technology (TUT)
2009 → 2013
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- 1 Similar Profiles
Projects
- 2 Active
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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: Academy of Finland project
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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
Research output
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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 AccessFile31 Downloads (Pure) -
Physics-informed machine learning surrogate models: Enhancing data-driven forecasting for digital twins in mineral processing
Seppi, M., Linnosmaa, J. & Zeb, A., 1 Sept 2025, In: Minerals Engineering. 230, 109424.Research output: Contribution to journal › Article › Scientific › peer-review
Open Access -
Benchmark Exercise on Safety Engineering Practices: Results and Recommendations
Helminen, A., Immonen, E., Linnosmaa, J. & Laarni, J., Jun 2024, Advances in Reliability, Safety and Security: Complex Systems and Critical Infrastructures Business Continuity Modelling and Optimization & Reliability, Safety and Security Related Management Systems. Kołowrocki, K. & Magryta-Mut, B. (eds.). Gdynia: Polskie towarzystwo bezpieczeństwa i niezawodności, Vol. 8. p. 45-52Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
Open AccessFile61 Downloads (Pure) -
Developing deep learning surrogate models for digital twins in mineral processing – A case study on data-driven multivariate multistep forecasting
Zeb, A., Linnosmaa, J., Seppi, M. & Saarela, O., 15 Sept 2024, In: Minerals Engineering. 216, 108867.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile6 Citations (Scopus)96 Downloads (Pure) -
Generative methods for microstructure 3D reconstruction from 2D images
Linnosmaa, J., 16 Jun 2024, Tampere: University of Tampere. 99 p.Research output: Thesis › Master's thesis
Open Access