Ilkka Laakso
Associate Professor
Associate Professor
T410 Dept. Electrical Engineering and Automation
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 .
Full researcher profile
https://research.aalto.fi/...
Sähköposti
[email protected]
Puhelinnumero
+358504658133
Osaamisalueet
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
Palkinnot
IEEE Electromagnetic Compatibility Society Technical Achievement Award
Technical Achievement Award for contribution to computational dosimetry of human exposure to electromagnetic fields from low frequencies to millimeter waves
Award or honor granted for a specific work
Department of Electrical Engineering and Automation
Aug 2021
Young Scientist Award
URSI General Assembly and Scientific Symposium, Montreal, Canada
Award or honor granted for a specific work
Department of Electrical Engineering and Automation
Aug 2017
IEICE Transactions Best Paper Award
“Fast computational method for human dosimetry due to wireless power transfer with magnetic resonance”
Award or honor granted for a specific work
Department of Electrical Engineering and Automation
Jun 2014
Excellent Paper Award
International Symposium on Electromagnetic Compability, Tokyo,<br/>Japan
Award or honor granted for a specific work
Department of Electrical Engineering and Automation
May 2014
Young scientist award
URSI Commission B International Symposium on Electromagnetic<br/>Theory, Hiroshima, Japan
Award or honor granted for a specific work
Department of Electrical Engineering and Automation
May 2013
Excellent paper award (Young scientist)
Awarded by IEICE Electronics Society, Electronics Simulation Technology
Award or honor granted for a specific work
Department of Electrical Engineering and Automation
Mar 2013
Paper Presentation Award
Awarded by Fundamentals and Materials Society, Institute of Electrical Engineers of Japan
Award or honor granted for a specific work
Department of Electrical Engineering and Automation
Sep 2012
Ericsson Young Scientist Award
Ericsson Japan
Award or honor granted for a specific work
Department of Electrical Engineering and Automation
Nov 2011
Faculty Award for Excellence, at Nagoya Institute of Technology
For contribution to public understanding of heat stroke from engineering viewpoint
Award or honor granted for a specific work
Department of Electrical Engineering and Automation
Nov 2011
Student Award International Symposium on Electromagnetic Compatibility, Japan
Award or honor granted for a specific work
Department of Electrical Engineering and Automation
Jan 2009
Tutkimusryhmät
- Electromagnetics in Health Technology
Julkaisut
Induced electric fields in MRI settings and electric vestibular stimulations: same vestibular effects?
Nicolas Bouisset, Ilkka Laakso
2024
Experimental Brain Research
Is activation of the vestibular system by electromagnetic induction a possibility in an MRI context?
Nicolas Bouisset, Janita Nissi, Ilkka Laakso, Raymond F. Reynolds, Alexandre Legros
2024
Bioelectromagnetics
Electric field envelope focality in superficial brain areas with linear alignment montage in temporal interference stimulation
Akimasa Hirata, Yusuke Akazawa, Sachiko Kodera, Naofumi Otsuru, Ilkka Laakso
2024
Computers in Biology and Medicine
Small effects of electric field on motor cortical excitability following anodal tDCS
Ilkka Laakso, Keisuke Tani, Jose Gomez-Tames, Akimasa Hirata, Satoshi Tanaka
2024
iScience
Thresholds and mechanisms of human magnetophosphene perception induced by low frequency sinusoidal magnetic fields
Alexandre Legros, Janita Nissi, Ilkka Laakso, Joan Duprez, Robert Kavet, Julien Modolo
2024
Brain Stimulation
Predicting the hotspot location and motor threshold prior to transcranial magnetic stimulation using electric field modelling
Noora Matilainen, Juhani Kataja, Ilkka Laakso
2024
Physics in Medicine and Biology
Verification of neuronavigated TMS accuracy using structured-light 3D scans
Noora Matilainen, Juhani Kataja, Ilkka Laakso
2024
Physics in Medicine and Biology
In vivo and dosimetric investigation on electrical vestibular stimulation with frequency- and amplitude-modulated currents
Janita Nissi, Otto Kangasmaa, Juhani Kataja, Nicolas Bouisset, Ilkka Laakso
2024
Journal of Neural Engineering
Simulating tDCS electrode placement to stimulate both M1 and SMA enhances motor performance and modulates cortical excitability depending on current flow direction
Takatsugu Sato, Natsuki Katagiri, Saki Suganuma, Ilkka Laakso, Shigeo Tanabe, Rieko Osu, Satoshi Tanaka, Tomofumi Yamaguchi
2024
Frontiers in Neuroscience
Intercomparison of the averaged induced electric field in learning-based human head models exposed to low-frequency magnetic fields
Yinliang Diao, Essam A. Rashed, Luca Giaccone, Ilkka Laakso, Congsheng Li, Riccardo Scorretti, Yoichi Sekiba, Kenichi Yamazaki, Akimasa Hirata
2023
IEEE Access