Presentation of open MSc projects 22 September

Our research group Digital signal processing and image analysis will present open MSc project topics, ideas, and themes on 22 September from 16h.

Bildet kan inneholde: oransje, skrifttype.
  • Pizza will be served. Priority to those who registered by 18 September [ https://nettskjema.no/a/541340 ]
  • It will take place in Ole-Johan Dahls hus ("the Informatics building"), in Seminar room 2452 "Pascal" on the second floor: building map
  • You will meet potential supervisors both from the research group and from our external partners.
  • Priorities are given to students in our study directions on the ELITE and CS programmes, and the relevant specializations on the DS master programme. But all are still welcome to the session and if we have capacity, we can consider working also with students from other programmes (subject to approval by the programmes, co-supervision from the right groups, etc.)
  • The database of open projects is evolving and updates can be posted all the way up to the meeting: Follow link

Programme

  • 16h00: Pizza is ordered to arrive
  • 16h15: Peter shows 3 slides with important aspects, such as deadline 1 December for plan submission  [ see PDF ]
  • 16h20: 5-minute slots with quick introductions from internal and external presenters. We have around 10 presenters.
1 Adín Ramírez Rivera Machine learning and computer vision projects
2 Ali Ramezani-Kebrya Machine learning theory, methods, and applications
3 Anis Yazidi Machine learning theory, methods, and applications
4 Andreas Kleppe Deep learning and histopathology
5 Sven Peter Näsholm Atmospheric acoustics for numerical weather prediction and planetary exploration
6 Endrias Getachew Asgedom Project with Kongsberg Discovery:
Seafloor characterization and classification using Physics-
Informed Neural Networks
7 Arne Henrik Bechensteen

Projects with Kongsberg Discovery: 

  • Calibrating Backscatter for Multibeam Echosounders
  • Enhancing Acoustic Bathymetry Data Quality Using Machine Learning Techniques
8 Roy Hansen Projects in machine learning applied to sonar imaging
9 GE Healthcare Projects in medical ultrasound
10 Andreas Austeng / Yücel Karabıyık / Sven Peter Näsholm Projects in medical ultrasound and elastography
11 Mohamed Aziz Boukraa Neural operators for wave propagation in acoustics and elastography
  • Thereafter: free forum where students can talk to presenters & supervisors
Published Aug. 28, 2025 1:50 PM - Last modified Oct. 5, 2026 3:49 PM
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