Projects per year
Personal profile
Expertise area
Specialist in numerical modeling and developing the numerical methods. Especially interested in electromagnetic, multi-physical and data-based modeling and different electromagnetic and electrical powertrain applications.
Applications: Electrical machines, electrical powertrains, electrical vehicles, electromechanics, electromagnetic actuators, transformers, magnetic levitation, induction heating, induction charging, EV charging, etc.
Numerical computation, developing numerical methods, applied mathematics, electromagnetics, electrical machines, electrical powertrains, application of machine learning.
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
Doctorate, Towards computational electromagnetics in spacetime, Tampere University of Technology (TUT)
Award Date: 11 Mar 2011
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Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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HiECSs: High-Speed Electromechanical Energy Conversion Systems
Pippuri-Mäkeläinen, J., Keränen, J. S., Tahkola, M., Farzam Far, M., Lindroos, T., Metsä-Kortelainen, S., Vehviläinen, M., Riipinen, T., Manninen, A. & Rahkola, P.
1/01/22 → 31/12/24
Project: Academy of Finland project
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REFLECTIVE: Reconfigurable Light Electric Vehicle
Pippuri-Mäkeläinen, J., Keränen, J. S. & Farzam Far, M.
1/02/21 → 31/01/24
Project: EU project
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Arrowhead Tools: Arrowhead Tools for Engineering of Digitalisation Solutions
Halme, J., Keränen, J. S., Tahkola, M., Pippuri-Mäkeläinen, J. & Farzam Far, M.
1/05/19 → 31/07/22
Project: EU project
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DRIVEMODE : Integrated Modular Distributed Drivetrain for Electric & Hybrid Vehicles project
Brace, W., Pihlatie, M., Farzam Far, M., Haavisto, J., Keränen, J. S., Manninen, A., Andersson, P., Pippuri-Mäkeläinen, J., Ronkainen, H., Rantala, S. & Ranta, M.
1/11/17 → 31/03/21
Project: EU project
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A Novel Machine Learning-Based Approach for Induction Machine Fault Classifier Development—A Broken Rotor Bar Case Study
Tahkola, M., Szücs, Á., Halme, J., Zeb, A. & Keränen, J., 2 May 2022, In: Energies. 15, 9, 23 p., 3317.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile2 Citations (Scopus)15 Downloads (Pure) -
Simulation-Based Comparative Assessment of a Multi-Speed Transmission for an E-Retrofitted Heavy-Duty Truck
Vehviläinen, M., Rahkola, P., Keränen, J., Pippuri-Mäkeläinen, J., Paakkinen, M., Pellinen, J., Tammi, K. & Belahcen, A., 25 Mar 2022, In: Energies. 15, 7, 29 p., 2407.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile34 Downloads (Pure) -
Transforming Urban Transportation via Safe, Innovative Light Vehicles
Pippuri-Mäkeläinen, J., Tribioli, L., Chiappini, D., Pasqualino, P., Miljavec, D., Keränen, J., Farzam Far, M. & Camposano, J., 16 Sep 2022, In: SAE Technical Papers. 2022-24-0001.Research output: Contribution to journal › Article in a proceedings journal › Scientific › peer-review
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Transient Modeling of Induction Machine Using Artificial Neural Network Surrogate Models
Tahkola, M., Mukherjee, V. & Keränen, J., Sep 2022, In: IEEE Transactions on Magnetics. 58, 9, 4 p., 7402204.Research output: Contribution to journal › Article › Scientific › peer-review
Open Access -
Transient Modelling of Induction Machine Using Artificial Neural Networks
Tahkola, M., Mukherjee, V. & Keränen, J., 18 Jan 2022.Research output: Contribution to conference › Conference Poster › Scientific