Research output per year
Research output per year
Personal profile
Artistic and research interests
Assistant Professor Ilkka Laakso leads the research group Electromagnetics in Health Technology. The group develops computational methods for multi-physics modelling of the human body.
The research combines numerical analysis of electromagnetic fields with anatomical and functional modelling, having multidisciplinary applications in biomedical engineering (device development), clinical practice (diagnosis and rehabilitation), and neurosciences (brain research).
The first focus area of the research is developing computational tools for modelling non-invasive brain stimulation. In the future, the methods will help scientists to carefully craft stimulation protocols rather than relying on trial and error, improving the safety and efficacy of stimulation and allowing individually planned treatment.
The group also uses computer simulations to study the electromagnetic safety of new technologies and aid the development of novel health care 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
Doctoral degree, Engineering and Technology, Aalto University
Award Date: 7 Feb 2011
Licentiate degree, Engineering and Technology, Helsinki University of Technology
Award Date: 15 Dec 2009
Master's degree, Engineering and Technology, Helsinki University of Technology
Award Date: 18 Jun 2007
Keywords
- Bioelectromagnetism
- Health and wellbeing
- Neuroscience
- Neuroimaging
- Neurostimulation
- Finite element modeling
- Finite element method
- Electromagnetic field computation
- Electromagnetic field theory
- Magnetic resonance imaging
- Medical devices
- Medical Technology
- EMC
- Biophysics
- Radio Frequency
- Dosimetry
- health technology
- Image analysis
- Segmentation
- Brain stimulation
- Transcranial direct current stimulation
- Transcranial magnetic stimulation
- Health physics
- Occupational safety
- Non-ionising radiation
- Human brain imaging
- Human brain
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Collaborations and top research areas from the last five years
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Research output
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Estimating Human Fat and Muscle Conductivity From 100 Hz to 1 MHz Using Measurements and Modelling
Kangasmaa, O., Laakso, I. & Schmid, G., Jan 2025, In: Bioelectromagnetics. 46, 1, 13 p., e22541.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile1 Citation (Scopus)15 Downloads (Pure) -
Locating activation sites of TMS with opposite current directions using probabilistic modelling and biophysical axon models
Laakso, I., Kataja, J., Matilainen, N., Roine, T., Tarnaud, T. & Ugawa, Y., Mar 2025, In: Brain Stimulation. 18, 2, p. 215-224 10 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile6 Downloads (Pure) -
Probing vestibular function with frequency-modulated electrical vestibular stimulation
Nissi, J., Kangasmaa, O. & Laakso, I., 2025, In: IEEE Transactions on Neural Systems and Rehabilitation Engineering. 33, p. 1707-1714 8 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile2 Downloads (Pure) -
Recent Advances and Future Perspective in Computational Bioelectromagnetics for Exposure Assessments
Diao, Y., Joseph, W., Poljak, D., Giaccone, L., Kodera, S., Laakso, I., Yamazaki, K., Li, K., Sasaki, K., Tanghe, E., Cvetković, M., El Hajj, W., Hikage, T., Kaburcuk, F., Schmid, G., Šušnjara Nejašmić, A., Tarnaud, T., Anderson, V., Foster, K. R. & Samaras, T. & 4 others, , Apr 2025, In: Bioelectromagnetics. 46, 3, 24 p., e70002.Research output: Contribution to journal › Review Article › peer-review
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SHARM: Segmented Head Anatomical Reference Models
Rashed, E. A., Al-Shatouri, M., Laakso, I., Kodera, S. & Hirata, A., Jun 2025, In: Biomedical Signal Processing and Control. 104, 10 p., 107481.Research output: Contribution to journal › Article › Scientific › peer-review
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PRENIBS: Predictive models for non-invasive brain stimulation
Laakso, I. (Principal investigator)
01/09/2024 → 31/08/2028
Project: RCF Academy Project
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HICOMRI R2B: Aalto-R2B-Scalable multi-band inexpensive MRI coil (HICOMRI)
Laakso, I. (Principal investigator)
01/08/2024 → 31/01/2026
Project: BF R2B
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AMRI Co-Creation Korona: Accessible lung imaging
Laakso, I. (Principal investigator), Uusitalo, S. (Project Member) & Ahola, M. (Project Member)
01/09/2020 → 28/02/2021
Project: BF Co-Creation
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AMRI: Accessible Magnetic Resonance Imaging
Laakso, I. (Principal investigator) & Uusitalo, S. (Project Manager)
01/04/2020 → 31/03/2023
Project: Other external funding: Other domestic funding
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-: Transkraniaalinen magneettinen sormenjälkitunnistus — työkalu aivostimulaation kvantifiointiin
Laakso, I. (Principal investigator)
01/09/2019 → 31/08/2023
Project: Academy of Finland: Other research funding
Datasets
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MEPICA.m - Classifying motor evoked potentials in active muscles using reconstruction independent component analysis
Laakso, I. (Creator), Zenodo, 3 Jul 2024
DOI: 10.5281/zenodo.12634513, https://zenodo.org/records/12634514
Dataset: Software or code
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LTDTMS.jl: A probabilistic LTDTMS-model integrator for TMS activation localization
Kataja, J. (Creator), Laakso, I. (Creator), Laakso, I. (Contributor), Soldati, M. (Contributor) & Matilainen, N. (Contributor), Zenodo, 15 Dec 2023
DOI: 10.5281/zenodo.10390898, https://zenodo.org10390899
Dataset: Software or code
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IL-NIT model for the excitation of a nerve fibre
Laakso, I. (Creator), Zenodo, 4 Jul 2024
DOI: 10.5281/zenodo.12652748, https://zenodo.org/records/12652749
Dataset: Software or code
Prizes
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Ericsson Young Scientist Award
Laakso, I. (Recipient), 29 Nov 2011
Prize: Award or honor granted for a specific work
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Excellent Paper Award
Laakso, I. (Recipient), 15 May 2014
Prize: Award or honor granted for a specific work
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Excellent paper award (Young scientist)
Laakso, I. (Recipient), 19 Mar 2013
Prize: Award or honor granted for a specific work
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Faculty Award for Excellence, at Nagoya Institute of Technology
Laakso, I. (Recipient), 16 Nov 2011
Prize: Award or honor granted for a specific work
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IEEE Electromagnetic Compatibility Society Technical Achievement Award
Laakso, I. (Recipient), 17 Aug 2021
Prize: Award or honor granted for a specific work
Activities
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International Commission on Non-Ionizing Radiation Protection (ICNIRP) (External organisation)
Laakso, I. (Member)
2017Activity: Memberships (typically long-term positions of trust) › Position of trust in a society or network
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University of L'Aquila
Laakso, I. (Visiting researcher)
Mar 2017 → Apr 2017Activity: Visiting an external institution types › Visiting an external academic institution
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IEEE (External organisation)
Laakso, I. (Chair)
2015 → 2017Activity: Memberships (typically long-term positions of trust) › Position of trust in a society or network
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IEICE Transactions on Electronics (Journal)
Laakso, I. (Editor)
2015 → 2016Activity: Publication peer-review and editorial work types › Membership of an editorial board
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IEEE (External organisation)
Laakso, I. (Member)
2014 → 2017Activity: Memberships (typically long-term positions of trust) › Position of trust in a society or network
Press/Media
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Aalto University Reports Findings in Science (Is activation of the vestibular system by electromagnetic induction a possibility in an MRI context?)
Laakso, I. & Nissi, J.
26/02/2024
1 item of Media coverage
Press/Media: Media appearance
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Aalto University: AMRI Mobile Stroke Unit Business Finland Co-Innovation Initiative
27/10/2023
1 item of Media coverage
Press/Media: Media appearance
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AMRI Mobile Stroke Unit Business Finland co-innovation initiative
23/10/2023
1 item of Media coverage
Press/Media: Media appearance
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Aalto University: Accessible MRI Could Revolutionise the Diagnosis of Brain Disorders
Laakso, I., Palva, L., Uusitalo, S. & Sepponen, R.
03/10/2023
1 item of Media coverage
Press/Media: Media appearance
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Characterization of open issues in low-frequency computational dosimetry
29/05/2021
1 item of Media coverage
Press/Media: Media appearance