Keyne Oei and Boye Sjo
We happily welcome Keyne Oei and Boye Sjo as new PhD Research Fellows at SFI Visual Intelligence in Tromsø and Oslo respectively.
We happily welcome Keyne Oei and Boye Sjo as new PhD Research Fellows at SFI Visual Intelligence in Tromsø and Oslo respectively.
By Petter Bjørklund, Communications Officer at SFI Visual Intelligence
Oei and Sjo recently started their PhD positions at SFI Visual Intelligence. Oei's project is connected to the centre's "Medicine and health" innovation area, while Sjo's project is tied to the "Energy" area.
Oei is from Indonesia and received her master's degree in Visual Computing at Universität des Saarlandes. Her thesis focused on self-supervised contrastive learning for video representation with local alignment in expert-learner analysis.
Her PhD project involves developing self-supervised representation learning (SSRL) methods for electronic health records (EHR). This type of data is multi-dimensional, sparse, irregularly sampled, and often heterogeneous, making large-scale supervised learning costly and limiting generalization to clinical settings.
"To address these issues, I focus specifically on self-supervised approaches such as contrastive learning and predictive pretraining to model longitudinal patient trajectories and sequences of medical events," Oei explains.
The main objective is to learn patient representations that capture temporal structure, clinical co-occurrence patterns, and patient-level similarities.
"Another aim is to improve interpretability, which is a key limitation of current SSRL models and a major barrier to clinical trust. Finally, I address transferability and interoperability challenges to support reuse and adoption of learned representations in real-world clinical applications.
Oei looks forward to examine how novel SSRL methods can be adopted and evaluated to practical clinical settings.
"I am also eager to collaborate with researchers working on similar problems as I do", she says.
Sjo is Norwegian and studied applied physics and mathematics at the Norwegian University of Science and Technology (NTNU).
After finishing his master thesis on quantum computational applications for machine learning and statistics, he worked two years as a data scuence consultant, working on implementing solutions for industrial data.
His PhD project focuses on using state-of-the-art deep learning techniques, namely self-supervised learning and multimodality, to better understand and model the subsurface using great amounts of largely unlabelled drill cutting data. This data comes from wells drilled on the Norwegian continental shelf.
"This can help energy companies work smarter and safer by using what's already there in the best possible way," Sjo says.
"I am looking forward to learn new things, do cutting-edge work, and to meet and collaborate with other clever and like-minded people," Sjo adds.
Congratulations to Børge Solli Andreassen, who successfully defended his PhD thesis at the University of Oslo on December 18th 2025.
Attracting 280 international AI researchers, the Northern Lights Deep Learning Conference (NLDL) 2026 was successfully organized from January 5th to 9th 2026 at UiT The Arctic University of Norway in Tromsø, Norway.
Visual Intelligence hosted a special NLDL 2026 mentoring session for young researchers with Professor Mihaela van der Schaar – a globally renowned AI researcher and expert
Centre Director and NLDL General Chair Robert Jenssen was interviewed by NRK about this year's Northern Lights Deep Learning Conference.
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270 KI-eksperter fra nært og fjernt møtes ved UiT for å dele siste forskningsnytt. Et av formålene er å styrke internasjonale bånd og samarbeid på tvers av det globale KI-miljøet (Norwegian news article on uit.no)
Med ferske millioner på konto skal Senter for pasientnær kunstig intelligens (SPKI) ved UNN bidra i et stort nasjonalt KI-prosjekt de neste fire årene (News article on unn.no)
We happily welcome Zijun Sun as a new Doctoral Research Fellow at SFI Visual Intelligence in Tromsø, Norway.
The Visual Intelligence Management Team, Robert Jenssen, Line Eikvil, Anne Solberg, and Inger Solheim, wishes everyone a happy holiday season and new year!
Several of our researchers represented SFI Visual Intelligence at EurIPS 2025 – the NeurIPS-endorsed European AI conference.
Congratulations to Senior Research Scientist Anders Waldeland, who was awarded the Digital Trailblazer Award 2025 at the Dig X Subsurface conference in Oslo, Norway.
Researchers have developed an artificial intelligence that can automatically measure the heart's structure – both quickly and accurately (Popular science article on sciencenorway.no)
Congratulations to Jørgen Agersborg, who successfully defended his PhD thesis at UiT The Arctic University of Norway on November 28th.
State Secretary Marianne Wilhelmsen visited UiT The Arctic University of Norway to learn more about SFI Visual Intelligence and UiT's AI initiatives in education and research.
KI-chatboten Grok har fortalt brukere at verdens rikeste mann er både smartere og sprekere enn noen andre i verden – inkludert basketballstjernen LeBron James og Leonardo da Vinci (Norwegian news article on tv2.no)
Forskere har utviklet kunstig intelligens som automatisk kan måle hjertets struktur – både raskt og presist (Norwegian popular science article on forskning.no)
The Visual Intelligence Graduate School gathered our early career researchers for a 3-Day Science Communication workshop at Skibotn field station outside of Tromsø, Norway.
Onsdag inngikk Aker Nscale og UiT Norges arktiske universitet en ti-årig samarbeidsavtale for å utvikle og styrke kompetansemiljøene for kunstig intelligens i Narvik og Nord-Norge. Aker Nscale garanterer for 100 millioner kroner i avtaleperioden (news story on uit.no)
Centre Director Robert Jenssen and PhD Candidate Lars Uebbing had two fruitful days together with researchers at The Alan Turing Institute's headquarters in London
Centre Director Robert Jenssen represented Visual Intelligence at Outlook North in Harstad, Norway
Senior Research Scientist Anders Waldeland is nominated for the Digital Trailblazer 2025 Award. The winner is announced at the Dig X Subsurface conference in Oslo, Norway in December.