IEEE MetroXRAINE 2026 Youth Pre-Contest
Online or on-site | Mittweida University of Applied Sciences
Registration deadline: 15th June 2026
- Upcoming events
The Youth Pre-Contest is a full-day hands-on challenge focused on physiological signal analysis using supervised and unsupervised analysis techniques. Participants will receive a dataset to train and evaluate their own model on their personal device. The goal is to develop a model that best fits the data provided and achieves the best performance according to the evaluation criteria defined by the organizers. The contest offers students, PhD’s and researchers under 36 years the opportunity to test their skills, work on a practical data-based challenge, and exchange ideas with other young researchers.
The contest will take place in a hybrid format: participants can join online via Microsoft Teams or attend on-site at Mittweida University of Applied Sciences if they live close-by (snacks and drinks will be provided).
Participation is free of charge, but please remember to register by 15th June 2026 via the conference website.
Contest mode
Participants can work individually or in teams of up to three members.
The contest starts at 9:00 (CEST) with the release of the dataset. Submission deadline and official end of the contest are scheduled for 17:00 (CEST). The dial-in link will be provided after registration.
The winning participant or team will receive a certificate of excellence from the 2026 IEEE MetroXRAINE conference committee.
Date: 22nd June 2026
Registration deadline: 15th June 2026
Registration: www.metroxraine.org/pre-contest
Location: Online or on-site at Mittweida University of Applied Sciences
Eligible participants: students, PhD’s and researchers under 36 years
About the IEEE MetroXraine
The MetroXRAINE conference brings together researchers from around the world who are working on cutting-edge research topics in the field of metrology for eXtended Reality – an umbrella term for immersive technologies such as augmented and virtual reality – artificial intelligence (AI) and neural engineering (NE).
