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Department of Electrical Engineering and Automation

Ilkka Laakso

Assistant Professor

Contact information

Postal address
Otakaari 3, 02150 Espoo
Mobile phone
+358504658133
Full researcher profile
https://research.aalto.fi/...

Description

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 .

Honors and awards

Award or honor granted for a specific work
Department of Electrical Engineering and Automation
Jan 2009

Student Award International Symposium on Electromagnetic Compatibility, 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

Ericsson Young Scientist Award Ericsson Japan

Award or honor granted for a specific work
Department of Electrical Engineering and Automation
Sep 2012

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
Mar 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
May 2013

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 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
Jun 2014

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
Aug 2017

Young Scientist Award URSI General Assembly and Scientific Symposium, Montreal, Canada

Research groups

Electromagnetics in Health Technology

Publications

Department of Electrical Engineering and Automation, Department of Neuroscience and Biomedical Engineering, Electromagnetics in Health Technology

Group-level and functional-region analysis of electric-field shape during cerebellar transcranial direct current stimulation with different electrode montages

Publishing year: 2019 JOURNAL OF NEURAL ENGINEERING
Department of Electrical Engineering and Automation, Electromagnetics in Health Technology

Effects of posture on electric fields of non-invasive brain stimulation

Publishing year: 2019 Physics in Medicine and Biology
Department of Electrical Engineering and Automation, Electromagnetics in Health Technology

Can electric fields explain inter-individual variability in transcranial direct current stimulation of the motor cortex?

Publishing year: 2019 Scientific Reports
Department of Neuroscience and Biomedical Engineering, Department of Electrical Engineering and Automation, Electromagnetics in Health Technology

Coil model comparison for cerebellar transcranial magnetic stimulation

Publishing year: 2019 Biomedical Physics and Engineering Express
Department of Electrical Engineering and Automation, Electromagnetics in Health Technology

Computational low-frequency electromagnetic dosimetry based on magnetic field measurements

Publishing year: 2018 IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology
Department of Electrical Engineering and Automation, Electromagnetics in Health Technology

A multi-scale computational approach based on TMS experiments for the assessment of electro-stimulation thresholds of the brain at intermediate frequencies

Publishing year: 2018 Physics in Medicine and Biology
Department of Electrical Engineering and Automation, Electromagnetics in Health Technology

Relationship between In-Situ Electric Field and External Magnetic Field Strength in Human Models-Rational of IEEE C95.6 Standard Revisited

Publishing year: 2018 Proceedings of the 2018 International Symposium on Electromagnetic Compatibility, EMC Europe 2018
Department of Electrical Engineering and Automation, Electromagnetics in Health Technology

Atlas of optimal coil orientation and position for TMS

Publishing year: 2018 Brain Stimulation
Department of Electrical Engineering and Automation, Electromagnetics in Health Technology

TMS motor thresholds correlate with TDCS electric field strengths in hand motor area

Publishing year: 2018 Frontiers in Neuroscience
Department of Electrical Engineering and Automation, Electromagnetics in Health Technology

A high-resolution computational localization method for transcranial magnetic stimulation mapping

Publishing year: 2018 NeuroImage