Advances in Machine learning, Data assimilation and Beyond
This workshop brings together researchers and professionals working on data assimilation, machine learning, and inverse problems. This event is organized
Kuopio AI in Inverse problems, Imaging, and Health (FAME- KAI3H) meeting
The University of Eastern Finland (UEF) has started to organise get-together events around the topics of AI in inverse problems,
Connect & Collaborate Event Series
26. – 28.8.2025 @ Aalto University Room U270 U8, Undergraduate Centre, Otakaari 1, Espoo The FAME Flagship warmly welcomes all
15 Minutes of FAME: Recent breakthroughs in Electrical Impedance Tomography
15 Minutes of FAME is the FAME Flagship’s monthly open morning coffee webinar series in which the Flagship’s researchers and partners
15 Minutes of FAME: Tomographic Imaging for Industrial Process Control: Monitoring and Control of Microwave Drying
15 Minutes of FAME is the FAME Flagship’s monthly open morning coffee webinar series in which the Flagship’s researchers and partners
Public defence: Computational approach to challenges in Radiative Transfer for Remote Sensing of Atmospheric Composition
Doctoral Researcher Antti Mikkonen will defend his doctoral dissertation Computational approach to challenges in Radiative Transfer for Remote Sensing of
15 Minutes of FAME: Learned reconstruction methods – combining the model and data regime
15 Minutes of FAME is the FAME Flagship’s monthly open morning coffee webinar series in which the Flagship’s researchers and partners
15 Minutes of FAME: Edges in imaging: a problem or a challenge?
15 Minutes of FAME is the FAME Flagship’s monthly open morning coffee webinar series in which the Flagship’s researchers and partners
Kuopio AI in Inverse problems, Imaging, and Health (FAME- KAI3H) meeting
The University of Eastern Finland (UEF) has started to organise get-together events around the topics of AI in inverse problems,
Public defence: Bayesian Optimal Experimental Design in Inverse Problems: Applications and Stability
Jose Rodrigo Rojo Garcia, Master of Science in Mathematics, will defend his doctoral dissertation in the field of Computational Engineering at