News

Simo Särkkä: Sensor data guides robots and helps with care of premature infants

This Professor of Sensor Informatics uses models to turn noisy data into a clear overall picture. Welcome to hear more at the Installation Talks event on 30 October!
Professor SImo Särkkä
'The journey from research to application can easily take ten years, even in the electronics field – and in medical technology even twice as long as this.' Photo: Lasse Lecklin / Aalto University

Professor Simo Särkkä, what do you research and why?

I lead the Sensor Informatics and Medical Technology research group. Sensors are generally small measuring instruments and nowadays they can be found almost everywhere: in buildings, clocks, phones, cars, and so on.

There are typically multiple sensors in a device, and they therefore produce contradictory and noisy data. Our task is to model the data so that we can obtain a clear overall picture from it. This picture, for example, allows a robot to know what kind of environment it is in, or a self-driving car to report where on the road it is currently located.

One of our most important areas of application is medical technology. For example, we have worked with Helsinki University Central Hospital to improve the care of premature infants. The hospital unit uses sensors to collect data on, for example, the breathing, oxygen saturation, and heart rate of premature babies. The data is used to produce models that allow doctors to react more quickly to any changes in the condition of premature babies that require actions to be taken.

How did you become a researcher?

Signal processing has always fascinated me, as has measuring and mathematics. After graduation, I worked in industry on research tasks, and I started my doctoral dissertation alongside my work – until I finally returned to full time research.

What have been the highlights of your career?

Completing my doctoral dissertation was certainly one highlight. The dissertation dealt with stochastic differential equations, which are the mathematical models upon which sensor signal processing is based. I am also proud of the books I have published, of which many are used for teaching in the field.

What is required from a researcher?

Above all, patience. Things started today are not ready tomorrow. Ideally, a publication can be produced in a year, but the journey from research to application can easily take ten years, even in the electronics field – and in medical technology even twice as long as this.

What do you expect from the future?

I hope that our research will help to make sensors a more central component of more and more fields of work. Challenges remain in communication between sensors, and solving these problems is an important part of, for example, the development of self-driving vehicles.

In medical technology, we are working on improving, for example, treatment of heart diseases. Some heart problems can be easily detected with a single measurement, but often measurements are needed over a longer period of time. In this, a key role is played by sensors and the processing of the data they produce.

Simo Särkkä and Aalto’s other new tenured professors will speak about their research at the Installation Talks event on 30 October. The presentations are presented in non-technical language and are open to all. See you there! Further information is available here.

  • Published:
  • Updated:

Read more news

Group Picture
Cooperation Published:

DeployAI Partners Gather for Heart Beat Meeting in Helsinki

The European DeployAI project's partners gathered for the Heart Beat meeting hosted by Aalto University Executive Education in Helsinki.
Professori Maria Sammalkorpi
Research & Art Published:

Get to know us: Associate Professor Maria Sammalkorpi

Sammalkorpi received her doctorate from Helsinki University of Technology 2004. After her defence, she has worked as a researcher at the Universities of Princeton, Yale and Aalto.
AI applications
Research & Art Published:

Aalto computer scientists in ICML 2024

Computer scientists in ICML 2024
bakteereja ohjataan magneettikentän avulla
Press releases, Research & Art Published:

Getting bacteria into line

Physicists use magnetic fields to manipulate bacterial behaviour