CEST group wins supercomputing Grand Challenge
CEST group researchers from the Department of Applied Physics were awarded a competitive Grand Challenge project on Finland’s biggest supercomputer Mahti to explore “Active machine learning methods for atmospheric science applications”.
Milica Todorović and Patrick Rinke will manage a 15 million core-hours project, awarded to advance cutting-edge research with large computational needs, in cross-disciplinary collaboration with the groups of Dr. Theo Kurtén and Prof. Hanna Vehkamäki at University of Helsinki.
Active learning dataset curation techniques, developed by Kunal Ghosh at CEST, will be employed to optimize the quality of machine learning of aerosol condensation properties for small atmospheric molecules. This is important information for atmospheric climate models that shape public policy on climate change.
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A survey on users' experiences of Mykanta in collaboration between Aalto University and Kela
Senior university lecturer Sari Kujala's research group is exploring, in collaboration with Kela, users' experiences with the Mykanta online patient portal and the MyKanta mobile application.
Measuring urban nature: new habitat types and criteria support the prevention of biodiversity loss
A recent report introduces an anthropogenic habitat classification and assessment criteria that make it possible to visualize, measure, and compare nature in the built environment. These tools enable the assessment of ecological condition and support the development of green infrastructure and the prevention of biodiversity loss in cities.Online Writing retreats for doctoral students in Finnish in spring 2026
Join the monthly communal meetings for research reporting.