Department of Electrical Engineering and Automation

Ilkka Laakso

Assistant Professor

Kontakt information

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

Beskrivning

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 .

Utmärkelser

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

Forskargrupper

Electromagnetics in Health Technology

Publikationer

Department of Electrical Engineering and Automation, Electromagnetics in Health Technology

Comparison of numerical techniques for the evaluation of human exposure from measurement data

Publishing year: 2019 IEEE Transactions on Magnetics
Department of Electrical Engineering and Automation, Institutionen för neurovetenskap och medicinsk teknik, 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
Institutionen för neurovetenskap och medicinsk teknik, 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

Efficiently searching through large tACS parameter spaces using closed-loop Bayesian optimization

Publishing year: 2019 Brain Stimulation
Department of Electrical Engineering and Automation, Electromagnetics in Health Technology

Real-time estimation of electric fields induced by transcranial magnetic stimulation with deep neural networks

Publishing year: 2019 Brain Stimulation
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