Projects per year
Personal profile
Short bio
Received the M.Sc. degree from University of Kuopio, Finland, in 2005. Between 2006 and 2011 he worked as a researcher with the department of Applied Mechanics, Aalto University, Espoo, where he studied machine learning and probabilistic modelling solutions for structural analyses and condition monitoring. In addition, his current research includes simulation-based static and dynamic analyses for engineering applications, feature engineering, and data analyses for engineering-based Big Data applications. He is experienced in physics-based simulations and data analyses for industrial systems. He is currently focused on combined use of digital twins and machine learning in industrial applications.
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, University of Eastern Finland
1 Aug 2001 → 21 Dec 2005
Award Date: 21 Dec 2005
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Projects
- 2 Active
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DENiM: Digital intelligence for collaborative ENergy management in Manufacturing
Hänninen, S., Kortelainen, J., Virtanen, J., Katajamäki, K., Kivikytö-Reponen, P., Korvola, T., Lämsä, V., Räikkönen, M., Uusitalo, T., Zou, G., Virkkunen, R. & Hyrynen, J.
1/11/20 → 31/10/24
Project: EU project
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Extreme Learning Machine-Based Operational State Recognition: A Feasibility Study with Mechanical Vibration Data
Junttila, J., Lämsä, V. & Espinosa-Leal, L., 2023, Proceedings of ELM 2021: Theory, Algorithms and Applications. Björk, K-M. (ed.). Springer, p. 114-123 10 p. (Proceedings in Adaptation, Learning and Optimization, Vol. 16).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
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Feature engineering –based machine learning models for operational state recognition of rotating machines
Junttila, J., Lämsä, V., Espinosa-Leal, L. & Sillanpaa, A., 21 Mar 2023. 1 p.Research output: Contribution to conference › Conference Poster › Scientific
Open Access -
DigiBuzz-VTT – Towards digital twin’s concrete commercial exploitation
Kortelainen, J., Lämsä, V. S., Nieminen, V., Rantala, T. & Virtanen, J., 31 Jan 2022, VTT Technical Research Centre of Finland. 21 p. (VTT Tutkimusraportti; No. VTT-R-00118-22).Research output: Book/Report › Report
Open AccessFile87 Downloads (Pure) -
Estimation of Unmeasurable Vibration of a Rotating Machine Using Kalman Filter
Neisi, N., Nieminen, V., Kurvinen, E., Lämsä, V. & Sopanen, J., 24 Nov 2022, In: Machines. 10, 12, 23 p., 1116.Research output: Contribution to journal › Article › Scientific › peer-review
Open Access -
Physics-Based Digital Twins Merging With Machines: Cases of Mobile Log Crane and Rotating Machine
Kurvinen, E., Kutvonen, A., Ukko, J., Khadim, Q., Hagh, Y. S., Jaiswal, S., Neisi, N., Zhidchenko, V., Kortelainen, J., Timperi, M., Kokkonen, K., Virtanen, J., Zeb, A., Lämsä, V., Nieminen, V., Junttila, J., Savolainen, M., Rantala, T., Valjakka, T., Donoghue, I., & 12 others, 25 Apr 2022, In: IEEE Access. 10, p. 45962-45978 17 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open Access4 Citations (Scopus)