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!

Thu 7.5.2026 | 8:45 – 9:00

Professor Hanna Renvall (Aalto University)

Recordings of the previous webinars can also be found on the FAME Flagship’s YouTube channel.

This webinar will be presented by Professor Lauri Oksanen (University of Helsinki). The most successful computational methods for solving classical well-posed problems for partial differential equations are equipped with proven convergence rates. Understanding optimal accuracy for ill-posed problems is more delicate due to their sensitivity to noise. Over the past few years, we have created a systematic numerical analysis framework for linear ill-posed problems of the unique continuation type. Passing from linear problems to more general nonlinear inverse problems poses a major challenge.

6.2.2026 | A seismic experiment to image and monitor the lake ice dynamics and properties of the boreal Lake Pääjärvi

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.

4.12.2025 | Multiscale Imaging of the Brain

This webinar will be presented by Research Director Alejandra Sierra (University of Eastern Finland). Dr. Sierra will present how multimodal and multiscale imaging techniques can be applied to both rodent and human brains, spanning from non-invasive imaging methods to cellular-level analysis. This integrative approach offers powerful insights into brain structure while driving technological advances for understanding and diagnosing brain diseases and disorders.

6.11.2025 | Monitoring of greenhouse gas emissions in facility scale using laser tomography

This webinar will be presented by Professor Aku Ursin (University of Eastern Finland). This talk focuses on a novel greenhouse gas monitoring technique developed by Prof. Ursin’s group and collaborators: laser dispersion tomography. This technique uses sequential open-path laser dispersion spectroscopy measurements and wind data to infer spatially and temporally varying greenhouse gas concentrations and source maps at facility scale.

4.9.2025 | Recent breakthroughs in Electrical Impedance Tomography

This webinar will be presented by FAME Vice Director, Professor Samuli Siltanen (University of Helsinki). EIT is a classical imaging method where an unknown body is probed with electric currents. The promise of EIT is to use cost-effective technology to produce images not possible to see any other way. Tune in to hear about exciting new developments in EIT!

14.8.2025 | Tomographic Imaging for Industrial Process Control: Monitoring and Control of Microwave Drying

This webinar will be presented by Professor Marko Vauhkonen (University of Eastern Finland). In this presentation, a case study is introduced in which Electrical Capacitance Tomography (ECT) is employed to control microwave drying at an industrial scale. The research was conducted in collaboration with Vötch Industrietechnik GmbH, Pinta Elements GmbH, and the Karlsruhe Institute of Technology, Germany.

5.6.2025 | Learned reconstruction methods – combining the model and data regime

This webinar will be presented by ProfessorAndreas Hauptmann (University of Oulu). 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.

8.5.2025 | Edges in imaging: a problem or a challenge?

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. 

3.4.2025 | How can we find the interior structure of the Earth from earthquake data?

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.

6.2.2025 | Integrating modelling domains for the patient digital twins

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. 

5.12.2024 | Digital Geography Lab: Sustainable and greener cities with big data analytics and spatial modelling

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.

7.11.2024 | Introducing Flagship of Advanced Mathematics for Sensing, Imaging and Modelling

In this first 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.