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.
The field of Visual Intelligence is continuously transforming. Chief Research Scientist Arnt-Børre Salberg dives deeper into the current trends in the field of visual intelligence as of early 2026.
Generativ kunstig intelligens er imponerende, men ikke alltid så nyttig til å løse industrielle problemer (Norwegian op-ed in digi.no).
Congratulations to Marit Dagny Kristine Jenssen, who successfully defended her PhD thesis at UiT The Arctic University of Norway on April 10th
The NCS model, a seismic foundation model trained on data from the Norwegian data repository for subsurface data, is now available as an open-source model, allowing anyone to download, utilize, and further develop the model.
The Visual Intelligence Annual Report 2025, highlighting the centre's progress, activities, achieved innovations, staff, funding, and publications for 2025, is now available to read on our websites.
.jpg)
Congratulations to Centre Director Robert Jenssen, who received UiT's Research and Development Award at the university's annual celebration.
Visual Intelligence researchers contributed to the Pioneer Centre for AI workshop on Electronic Health Records research. The aim was to strengthen ties between the two centres on EHR-related research.
Tre av studentene i sivilingeniør i Kunstig Intelligens ved UiT skal delta i NM i KI. Slik gikk det da de ble intervjuet ved hjelp av kunstig intelligens (News article in nordlys.no).
.jpg)
Rami Al-Belmpeisi is a PhD Research Fellow in the Visual Computing section at DTU Compute, Technical University of Denmark. He visited Visual Intelligence in Tromsø from November 2025 to February 2026.
Visual Intelligence researchers came to the UiT Open Day to inform the students about UiT's study programme, and inspire them to pursue AI-related studies and career paths.
Congratulations to our colleague Michael Kampffmeyer, who received the Fridtjof Nansen Prize for Young Researchers in 2026.
We happily welcome Rahul Baburajan as a new PhD Research Fellow at SFI Visual Intelligence's hub in Tromsø.
Congratulations to our colleague Sarina Thomas, who has been recognized as one of Norway's Top 50 Women in Tech!
Elisabeth Wetzer forsker på hvordan maskiner kan lære å analysere medisinske bilder – og samtidig forstå hva legene faktisk ser etter (Norwegian news article on dagsavisen.no)
Visual Intelligence researchers organized a preparatory course for UiT AI students who are attending this year's Norwegian AI Championship.
We happily welcome Veronica Lachi and Qing Liu as new Associate Professors at SFI Visual Intelligence.
Artur Radzivil is a PhD Research Fellow at Vilnius Gediminas Technical University. He visited Visual Intelligence in Oslo from September to November 2025.
Congratulations to Marius Aasan, who successfully defended his PhD thesis at the University of Oslo on February 10th.
We had the pleasure of talking to UiT students about the career opportunities at SFI Visual Intelligence and UiT at TEKdagen 2026.
Centre Director Robert Jenssen met with Sigrun Aasland, Norwegian Minister of Research and Higher Education, alongside UiT and Aker Nscale representatives to give an update on Aker Nscale's AI Giga Factory in Narvik, Norway.