22^nd May at 09:00-11:30
Onsite event
in Agora, 3^rd floor

Coffee and snacks will be served.

Students from the Erasmus Mundus Joint Master’s Degree Programme on the Engineering of Data Intensive Software Systems (EDISS) at Åbo Akademi University will present the results of their one-year-long research projects.

You are welcome to attend the event and interact with the students on the 3rd floor of the building Agora, Turku. The event is organised as a student project fair, where each team will have a space to present their solutions and approaches live. All projects contain an AI (Artificial Intelligence) or ML (Machine Learning) based solution applied to a variety of application domains:

1. XRAI Pipeline: a conditionally adaptive loss function for medical segmentation tasks
2. Developing an Explainable Deep Learning Model and Reporting System for Real-Time Clinically-Geared Segmentation Tasks
3. Reliability Estimation of Adaptive Distributed Embedded Systems Using GATs
4. Forecasting the behavior of the aFRR energy market
5. Carbon Efficient Auto-Scalers for Microservices in Cloud: Using Machine Learning for Greening the Train Ticket Application
6. CLIP: Search Properties in Digital Assets
7. Gearbox Anomaly Detection

Registration form: https://link.webropol.com/ep/ediss (a calendar invitation will be sent after registering)

Event page: https://tinyurl.com/2fcc6pud

You can see the research posters for each topic here: https://www.master-ediss.eu/winter-school-2025

You can get the playlist of all short video presentations of the projects here:  https://www.youtube.com/playlist?list=PLZqJR4V7fsub4zqLmGfFXtB-TqoriT62J

More questions about the event from Sebastien Lafond (Sebastien.Lafond@abo.fi)