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Staff photo Tomas Nordström

Tomas Nordström

My research focuses on enabling technologies for "intelligent embedded systems" and how many such systems can best work together to create robust and efficient "systems of intelligent systems".

Works at

Affiliation
Location
X, Håken Gullessons väg 20, Teknikhuset, TB420 Umeå universitet, 901 87 Umeå

In my research, I develop enabling technologies for "intelligent embedded systems" and how a multitude of such systems can best work together to create robust and efficient "systems of intelligent systems". In these systems, intelligence (i.e., artificial intelligence and machine learning) has been moved from central data centers and the cloud to the end nodes of the internet (i.e., edge computing and intelligent embedded systems). My research includes adapting the machine learning models to the computational capacity that is available in today's and the future's embedded systems, and how we can create a collaborative / federated learning between distributed nodes. I am also researching how to adapt the computer architectures for embedded systems, so that they can better perform the calculations that machine learning requires.

IEEE Access, IEEE 2020, Vol. 81, (1) : 57967-57996
Rezk, Nesma; Purnaprajna, Madhura; Nordström, Tomas; et al.
Microprocessors and microsystems, Elsevier 2020, Vol. 72
Savas, Süleyman; Ul-Abdin, Zain; Nordström, Tomas
Interaction and Media Technology Report Series, 2 / 2020
2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), IEEE 2019 : 1764-1767
Nordström, Tomas; Kunert, Kristina

Research groups