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
JYU Business Networking Day: Building bridges in the Finnish Lakeland region
The University of Jyväskylä organised its annual Business Networking Day on Wednesday, 1 October in…
Inverse Days 2025 in Helsinki: Registration now open!
Since 1997, Finland’s active inverse problems community has been formally organised around the Finnish Inverse…
The future inverse problems experts gathered almost 70 course completions in FAME’s inverse problems summer school
As a cutting-edge competence centre on inverse problems, the FAME Flagship is dedicated in training…
Our contribution
Partners
University of Eastern Finland
Aalto University School of Science
University of Helsinki
Finnish Meteorological Institute
University of Jyväskylä
LUT University
University of Oulu
Tampere University
Output
Data
Cone-Beam Computed Laminography Dataset of a Keyboard Circuit Board
About This dataset contains X-ray projection images of a keyboard circuit board acquired using a cone-beam computed laminography (CBCL) scanner. The dataset…
Helsinki Region Travel Time Matrix 2018-2023
About This travel time matrix records travel times and travel distances for routes between all centroids (N = 13132) of…
Airborne sea ice parameters during the IceBird Winter 2019 campaign in the Arctic Ocean, Version 2
About Airborne multi-instrument measurements of sea ice were made in April 2019 during the winter campaign of the…
Software
Python software library for data-driven emission quantification
About We present a Python software library for data-driven emission quantification (ddeq). It can be used to determine the emissions of hot…
A Numerical Computed Tomography Simulator
About CTlab is virtually implemented medical imaging device, which can be widely used in computed tomography training for all professionals who use…
MCMCstat
About MCMCstat is a popular Matlab toolbox for Bayesian parameter estimation in non-linear models using Markov chain Monte Carlo (MCMC) simulation. It…