Personal profile
Education/Academic qualification
Computer sciences, Master, Big Data Analytics, Arcada University of Applied Sciences
1 Sept 2018 → 1 Jun 2021
Award Date: 1 Jun 2021
Engineering, Master, Mechanical Engineering - Mechanics of Materials, Helsinki University of Technology
1 Aug 2000 → 28 May 2007
Award Date: 28 May 2007
Skills and expertise
- Finitie Element Method
- Mechanical Engineering
- Mechanics of Materials
- Dynamics
- SImulation
- Vibrations
- Proigramming
- Matlab
- Python
- Abaqus
- Big Data Analytics
- Machine Learning
- Artificial Intelligence
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):
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SDG 1 No Poverty -
SDG 2 Zero Hunger -
SDG 3 Good Health and Well-being -
SDG 4 Quality Education -
SDG 5 Gender Equality -
SDG 6 Clean Water and Sanitation -
SDG 7 Affordable and Clean Energy -
SDG 8 Decent Work and Economic Growth -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 10 Reduced Inequalities -
SDG 11 Sustainable Cities and Communities -
SDG 12 Responsible Consumption and Production -
SDG 13 Climate Action -
SDG 16 Peace, Justice and Strong Institutions -
SDG 17 Partnerships for the Goals
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Collaborations and top research areas from the last five years
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URNECO: Underwater Radiated Noise management for ECO-efficient shipping
Hynninen, A. (Manager), Junttila, J. (Participant), Koskela, J. (Participant), Martio, J. (Participant), Peltola, J. (Participant), Peltonen, P. (Participant), Perälä, I. (Participant), Saarinen, J. (Participant), Sanchez Caja, A. (Participant), Savolainen, M. (Participant), Viitanen, V. (Participant), Virtanen, J. (Participant), Liukkonen, S. (Participant), Kapanen, J. (Participant) & Kontkanen, O. (Participant)
1/11/24 → 31/12/26
Project: Business Finland project
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Electrification of transport
Hentunen, A. (Manager), Pihlatie, M. (Participant), Antila, M. (Participant), Anttila, J. (Participant), Arora, S. (Participant), Haavisto, J. (Participant), Jenu, S. (Participant), Junttila, J. (Participant), Kantoniemi, N. (Participant), Keränen, J. S. (Participant), Manninen, A. (Participant), Muona, T. (Participant), Paakkinen, M. (Participant), Pippuri-Mäkeläinen, J. (Participant), Rahkola, P. (Participant), Ranta, M. (Participant), Rauf, H. (Participant), Rehan, M. (Participant), Roine, J. (Participant), Savolainen, M. (Participant), Shah, S. (Participant), Singh, P. (Participant), Skeel, E. (Participant), Todorov, Y. (Participant), Tota, S. (Participant), Urishov, D. (Participant), Vehviläinen, M. (Participant), Lumiaho, A. (Participant) & Farzam Far, M. (Participant)
1/01/24 → 31/12/25
Project: Finnish government project
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Apollo: Fast tracking the conversion of dual fuel engines in existing offshore vessels to ammonia operation
Sassi, J. (Manager), Martio, J. (Participant), Happonen, K. (Participant), Junttila, J. (Participant), Jokinen, T. (Participant), Zou, G. (Participant) & Manderbacka, T. (Owner)
1/01/23 → 31/12/25
Project: EU project
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Journal bearing status identification with acoustic emission measurements and data clustering
Tervo, J., Junttila, J. & Ronkainen, H., 2025, In: Tribologia. 42, 1-2, p. 80-86 7 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open Access -
Hybrid methodology development for lubrication regimes identification based on measurements, simulation, and data clustering
Tervo, J., Junttila, J., Lämsä, V., Savolainen, M. & Ronkainen, H., 1 Jul 2024, In: Tribology International. 195, 109631.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile10 Link opens in a new tab Citations (Scopus)163 Downloads (Pure) -
Operational State Estimation of Compression Ignition Engines
Junttila, J. & Raunio, K., 24 Apr 2024, VTT Technical Research Centre of Finland. 17 p. (VTT Research Report; No. VTT-R-00272-24).Research output: Book/Report › Report
Open AccessFile62 Downloads (Pure) -
Pyörivien koneiden piirreanalyysiin perustuva käyttötilan tunnistaminen
Translated title of the contribution :Feature Engineering-Based Operational State Recognition of Rotating Machines Research output: Contribution to journal › Article › Professional
Open Access -
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 (Proceedings in Adaptation, Learning and Optimization, Vol. 16).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review