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.
The Call for Papers and Abstracts for the Northern Lights Deep Learning (NLDL) Conference 2027 is officially announced – with submission deadlines on August 7th and Mid-September 2026 respectively.
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.
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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).
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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.