About
The FAME Flagship
FAME – Flagship of Advanced Mathematics for Sensing, Imaging and Modelling is a multidisciplinary competence centre harnessing applied mathematics and physics for the benefit of the society. FAME will support economic progress in Finland through strong interaction with industry, training of experts, and boosting innovations and start-up companies. It increases global wellness through solutions for healthcare, clean industry, and sustainable environment. Furthermore, FAME supports mathematical skills and interest in science among children and young people, and contributes to mathematical training globally.
The FAME Flagship is part of the Research Council of Finland’s Flagship Programme.
News
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INVITATION: Connect & Collaborate Event 2026
The FAME Flagship warmly welcomes all interested companies and organisations to the Connect & Collaborate…
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…
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…
Our contribution
Partners
Aalto University School of Science
Finnish Meteorological Institute
LUT University
Tampere University
University of Eastern Finland
University of Helsinki
University of Jyväskylä
University of Oulu
Output
Data
TimPassLib: A library for integrated periodic timetabling and passenger routing
About TimPassLib provides benchmark instances for the integrated periodic timetabling and passenger routing problem and is maintained by Philine Schiewe, Marc Goerigk and Niels…
Tomographic X-ray data of a time-dependent emoji phantom
About This is an open access dataset of tomographic X-ray data of emoji phantom. The dataset consists of…
Original data for a publication in the Cerebral Cortex
About This data package includes 80 fMRI scans obtained from 13 rats in either the awake state or…
Software
TURSCA
About Monochromatic scalar 3D radiative transfer model. Described in detail in preprint https://arxiv.org/abs/2503.16037. Creators Antti Mikkonen GitHub
DendriteSAM
About This repository contains the code for training the DendriteSAM model, designed for dendritic segmentation in electron microscopy images. Creators Zewen Zhuo…
Slurm MRIpipelines
About This repository contains example pipelines to run different T1w-MRI processing tools in an HPC-like environment. These are intended to serve as…