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Published: 22 Apr, 2020

Technology to enable intelligent embedded systems

PROFILE Tomas Nordström's research aims to create computers that are powerful enough for advanced learning systems, while consuming minimal power.

More and more of the devices we interact with in everyday life are beginning to adapt to their context and our actions, we call them smart things or even intelligent systems. To enable customization, they must be able to execute advanced learning algorithms running on powerful embedded computers. In addition, several independent intelligent devices must be able to work together to create an intelligent system, and therefore need to communicate reliably with other intelligent devices.

With his research, Tomas Nordström tries to create computers that are powerful enough for advanced learning systems, while consuming minimal power. He is also working on developing the learning algorithms so that they are adapted to our embedded computers, and not only works in large server rooms like today. The intelligent systems that are being developed will be an important support in people's lives and everyday lives. These can be self-driving vehicles, drones for efficient forestry, or new hand-held diagnostic tools that can see detailed images from within the body, or through walls.

In 2019, Tomas Nordström was installed as professor of Intelligent Embedded Systems at Umeå University.

Biography

Tomas Nordström was born in 1963 in Härnösand. He graduated with a degree in computer engineering in 1988 at Luleå University of Technology, where he graduated in 1995 in the same subject. From 1996 to 1999 he worked on research and development at Telia Research. For twelve years he was a senior scientist at the Telecommunications Research Center Vienna in Austria.

In 2011 he came to Halmstad University, where until 2019 he was professor of computer engineering. In 2019 he also worked as a senior researcher at Rise, focusing on the development of intelligent systems.

Read more or contact Tomas Nordström