From a summer project to doctoral research: A long-term dedication gained fruit in the field of EIT
Doctoral Researcher Mikko Räsänen started his university studies in the Department of Technical Physics of the University of Eastern Finland […]
[PROGRAMME FINALISED] Connect & Collaborate Event 2026
The FAME Flagship warmly welcomes all interested companies and organisations to the Connect & Collaborate Event 2026, a full-day on-site
TomoHQ: Business Finland’s Rise to Challenge funding propels medical imaging and Finnish inverse problem research to new heights
Business Finland is granting funding to research organizations for new projects with high societal impact. The TomoHQ project, led by
New FIPS data challenge: Helsinki Asteroid Challenge 2026
The Finnish Inverse Problems Society (FIPS) proudly presents the Helsinki Asteroid Challenge 2026 (HAC 2026). FIPS invites all scientists and research groups to test
MAKE AI Buildathon: Industry representatives and doctoral researchers came together to build new capabilities and competence
A strong commitment from industry and national ecosystems provided DREAM doctoral students opportunities to strengthen their skills with concrete, real-life
A Song of Ice and Wire: A new short documentary showcases novel research work and frozen landscapes
The Research Council of Finland-funded DYNALake project explores new approaches for quantifying methane release from a frozen lake. The related
FAME-KAI3H: A community-driven collaboration framework in applied AI for researchers and companies in the Kuopio region
Since early 2025, the FAME and DREAM doctoral pilot community in the University of Eastern Finland (UEF) has organised networking
Shoot first, ask questions later: A Finnish dissertation explores inverse problems in digital photography
The significance of mathematics for the ever-present digital photography goes often unnoticed. An open dataset to train recovering distorted images
The highlight of the year for the Finnish inverse problems community gathers over 200 participants to Helsinki
From a small gathering to a multi-day international conference, the Inverse Days has evolved into one of the largest annually
I can see clearly now, the gray is gone: A new dissertation proposes solutions to improve the material decomposition in spectral CT
A novel regularization method was investigated to separate different materials from each other more clearly in CT reconstructions. Successful tests