• Phone+358 50 4658133
  • Otakaari 3, 02150 Espoo

20072023

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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):

  • SDG 3 - Good Health and Well-being
  • SDG 7 - Affordable and Clean Energy
  • SDG 13 - Climate Action

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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