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Electrical, electronic and system engineering

For research in electrical engineering, signal processing is central to both basic and application-related issues. Examples of specializations include machine learning, automatic control engineering, robotics, embedded systems, sensor networks, medical technology, measurement technology, media technology, media experience and interaction

Technology to enable intelligent embedded systems

Tomas Nordström, professor of Intelligent Embedded Systems is studying advanced learning computer systems.

Reliable cyber-physical systems for everyone's safety

In 2019 Zonghua Gu was installed as professor in technology in autonomous systems at Umeå University.

Novel strategy to analyse biomarkers in exhaled breath

In his dissertation, Ramin Ghorbani presents a novel methodology for the analysis of real-time breath data.

Autonomous field robot
Duration 1 January 2020 until 31 December 2020
Type of project Research project
NoICE - Nordic Icing Centre of Expertise
Duration 1 September 2018 until 28 February 2022
Type of project Research project
Smart facility management with IoT
Duration 1 September 2017 until 30 June 2020
Type of project Research project
Centre for Biomedical Engineering and Physics
CMTF is a network connecting research groups from several departments at Umeå University and Luleå University of Technology. The aim to coordinate...
Cooperative and intelligent embedded systems
Today we see a revolution in the use of artificial intelligence and autonomous systems, where machines that will facilitate both our work and our...
Digital Media Lab (DML)
Media and Interaction Technology is a constantly growing field with real-life applications of high sustainable value. Our main focus is always valu...
Embedded System Group (ESL)
The research environment covers activities within electrical and system engineering, applied physics, and biomedical engineering.
Robotics and Control Lab (RCLab)
In the Robotics and Control Group (RCLab) at TFE, we focus on development of mathematical models for real-world systems and on their constructive use.