UiO students Frida Marie Engøy Westby (2nd from left) and Guri Marie Svenberg during a poster session alongside supervisor and associate professor Ali Ramezani-Kebrya. The pictured poster includes findings from UiO student Karen Stølan Nielsen’s summer project on stress recognition with machine learning.
Our summer students have worked on projects related to fatigue and stress recognition with machine learning as their first research experience. Their results were presented at Georg Sverdrups hus at University of Oslo on October 16th 2024.
Our summer students have worked on projects related to fatigue and stress recognition with machine learning as their first research experience. Their results were presented at Georg Sverdrups hus at University of Oslo on October 16th 2024.
By Petter Bjørklund, Communication Advisor at SFI Visual Intelligence
- Stress is a reaction where your brain releases certain hormones in your body. This can lead to health problems both psychologically and physiologically, says student Karen Stølan Nielsen.
She is one of 50 UiO students who received funding from UiO:Life Science to conduct summer research projects between April and September 2024. She has developed AI models to characterize different aspects related to stress.
- In this project, we trained models to define what stress is, to assess different types of stress, and categorize different intensities of stress, Nielsen explains.
The aim of the projects was for students to perform research addressing health and disease, environmental issues or other topics related life science.
In addition to Nielsen, UiO student Guri Marie Svenberg developed AI algorithms for recognizing fatigue as part of a separate summer project.
- This was done by using EEG data that is shown to be sensitive to the fluctuations in vigilance that occur after sustained mental work, Svenberg explains.
Both Nielsen and Svenberg were supervised by associate professor Ali Ramezani-Kebrya (UiO). Their research was presented at Georg Sverdrups hus at University of Oslo on October 16th.
Ramenzani-Kebrya describes the significance of their work.
- Guri and Karen did a fantastic job in only two months with their first-ever research projects. Their results are very promising for follow-up research in the domain of emotion recognition with machine learning, says Ramezani-Kebrya.
- The research is useful for mission critical sectors such as hospitals, airlines, and infrastructure facilities to automatically identify critical events of employees’ fatigue and stress, he adds.
Centre Director Robert Jenssen represented Visual Intelligence at Svarte Natta 2025 – North Norway's journalist and media conference organized by the Norwegian Union of Journalists.
Congratulations to PhD Candidate Preetraj Bhoodoo, who recently won the Best Poster Presentation Award at the PRESIMAL Autumn Reserach School 2025.
We happily welcome Sigurd Almli Hanssen and Adrian Duric as new PhD Candidates at SFI Visual Intelligence's hubs in Tromsø and Oslo respectively.
AI expert Eirik Agnalt Østmo explains that the law is intended to make AI technology safe for everyone (Popular science article on sciencenorway.no)
Aitor Sánchez is a PhD candidate at the Intelligent Systems Group of the University of the Basque Country in Spain. He visited Visual Intelligence in Tromsø from March to June 2025.
We happily welcome Nicolo Grometto as a new PhD Candidate at SFI Visual Intelligence in Bodø, Norway.
Visual Intelligence hosted a hybrid meeting with researchers from the Alan Turing Institute at UiT The Arctic University of Norway in Tromsø, Norway.
Visual Intelligence researchers participated in this year's Forskningsdagene: an annual national research festival which aims to stimulate the general public's interest and curiosity in research.
Norge arbeider med å få på plass en egen lov for kunstig intelligens. Loven skal passe på at vi bruker KI på en trygg måte (Norwegian news article at uit.no).
85 researchers from the Visual Intelligence consortium convened for the Visual Intelligence Days: the annual workshop where researchers, user partners and invited guests convene to share knowledge and updates on the latest research and innovations within the centre.
Registration for the Northern Lights Deep Learning Conference 2026 is officially open. Early bird fees are available before December 1st 2025.
Det skal eksperter på kunstig intelligens, cybersikkerhet og juss fra UiT Norges arktiske universitet diskutere på Verdensteatret Kino den 17. september. Arrangementet er gratis og åpen for alle (Norwegian news article at uit.no)
The presentations from the Visual Intelligence Workshop on Foundation Models are now available on the Visual Intelligence YouTube channel.
Congratulations to Nikita Shvetsov for successfully defending his PhD thesis and achieving the PhD degree in Science at UiT The Arctic University of Norway on August 27th 2025.
Det sa digitaliseringsminister Karianne Tung (Ap) da hun besøkte UiT Norges arktiske universitet i Tromsø for å lære mer om utdanning og toppforskning på kunstig intelligens ved universitetet (Norwegian news article at uit.no)
A new study shows how deep learning can achieve human-level performance in estimating uncertainty when classifying foraminifera (News story at EurekAlert.org)
Congratulations to Iver Martinsen and Durgesh Kumar Singh, who successfully defended their PhD theses at UiT The Arctic University of Norway on August 20th and 21st respectively.
Visual Intelligence brought together academia, industry, the institute sector, the Research Council of Norway, and Norwegian politics to discuss why and how Norwegian academia and industry should collaborate more closely to develop innovative artificial intelligence.
João Campagnolo is a PhD Candidate in the Neuroscience Department of the University of Copenhagen (KU). He visited SFI Visual Intelligence in Tromsø from April to May 2025.
Students from EUGLOH partner institutions can now apply for an exclusive mobility scholarship worth 2 900 EUR for the NLDL 2026 Winter School. Application deadline October 3rd 2025