A monthly open webinar series in which the Flagship’s researchers offer snapshots into their current work and activities within the FAME Flagship.
Grab your morning coffee and kickstart your day with us on the first Thursday of every month to hear more about how FAME shapes the future with mathematics, physics, and computing!
Upcoming events
Thu 5.2.2026 | 8:45 – 9:00
This webinar will be presented by Professor Gregor Hillers (University of Helsinki).
Professor Hillers’ DYNALake project explores a novel approach for quantifying methane ebullition from a boreal lake using passive seismic tomography of the lake ice cover together with interdisciplinary observation methods. The basis for this and many other non-invasive monitoring and imaging applications is the analysis of elastic waves that is used to estimate properties of the propagation medium. The DYNALake centerpiece is a dense array of 200 seismic geophones that we deployed in February 2025 on the ~30 cm thick ice sheet of Lake Pääjärvi some 100 km north of Helsinki.
The project will also popularise the subarctic wintertime fieldwork and the science by making a professional documentary for science communication, outreach, and education.
Thu 5.3.2026 | 8:45 – 9:00
Professor Lauri Oksanen (University of Helsinki)
Thu 2.4.2026 | 8:45 – 9:00
Professor Nuutti Hyvönen (Aalto University)
Thu 7.5.2026 | 8:45 – 9:00
Professor Hanna Renvall (Aalto University)
Past events
Learned reconstruction methods – combining the model and data regime
5.6.2025 | This webinar will be presented by Professor Andreas Hauptmann (University of Oulu). In recent years, the paradigm of data-driven image reconstruction has gathered considerable attention, due to its success in improving reconstruction quality and offering computational speed-up. Nevertheless, the majority of such data-driven approaches comes without a thorough mathematical understanding. While we cannot solve this shortcoming yet, we will provide a conceptual overview of data-driven approaches that combine classical model-based inversion and provide varying degrees of interpretability as well as some theoretical guarantees.
Edges in imaging: a problem or a challenge?
8.5.2025 | This webinar will be presented by Prof. Lassi Roininen (LUT University). Edges in imaging, that is sharp discontinuities in intensity, pose a significant challenge for inverse problems algorithms that often rely on Gaussian assumptions. Non-Gaussian heavy-tailed priors, which can better model the sparsity and sharp transitions inherent in edges, offer an alternative for edge-preserving image reconstructions. We consider the inherent difficulties in handling edges and highlight the potential of heavy-tailed prior models to transform this problem into a practical engineering solution.
How can we find the interior structure of the Earth from earthquake data?
3.4.2025 | This webinar will be presented by Prof. Joonas Ilmavirta (University of Jyväskylä). Can one deduce the internal structure of the Earth from seismic measurements? Professor Ilmavirta will explain how this problem can be approached with geometric tools, and what kinds of differential and algebraic geometry play a role when the material is anisotropic.
Integrating modelling domains for the patient digital twins
6.2.2025 | This webinar will be presented by Prof. Jari Hyttinen (Tampere University). Prof. Hyttinen’s Computational Biophysics and Imaging Group laboratory at the Faculty of Medicine and Health Technology develops novel computer simulations on cellular biophysics, body–on-chip technologies, and test tube environment 3D imaging methods for future personalised medicine.
Digital Geography Lab: Sustainable and greener cities with big data analytics and spatial modelling
5.12.2024 | This webinar will be presented by Prof. Tuuli Toivonen (University of Helsinki). Toivonen’s research focuses on understanding dynamics of people, places, and their interactions, with open/big data, spatial analytics, and machine learning approaches playing an important role. Her multidisciplinary Digital Geography Lab research team contributes to a wide range of research from urban geography, land use and transport planning to sustainability and conservation science.
FAME Director Tanja Tarvainen: Introducing Flagship of Advanced Mathematics for Sensing, Imaging and Modelling
7.11.2024 | In this augural event of the “15 Minutes of FAME” webinar series, the FAME Flagship’s Director, Prof. Tanja Tarvainen (University of Eastern Finland) introduces FAME’s guiding vision, involved partner organisations, goals, and expertise.