David Odd Erik Fürst Standal
Foto:
foto.samfundet.no
About
Research topic: Hybrid AI methods for ship performance modelling
Main supervisor: Associate Professor Ekaterina Kim
Co-supervisors: Head of Department Sverre Steen
Project: KSP FUSE
Background: MSc in Industriell Kybernetikk at NTNU (2025). Monocular depth estimation using AI methods.
Publications
2026
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Bellingmo, Pauline Røstum;
Albrektsen, Thor;
Standal, David Odd Erik Fürst;
Sadjina, Severin Simon;
Sandvik, Endre.
(2026)
Comparing AI and ship hydrodynamics for ship performance estimation.
Hull Performance & Insight Conference (HullPIC)
Academic article
2025
-
Standal, David Odd Erik Fürst;
Rasheed, Adil;
Veggeland, Oskar Gjesdal.
(2025)
Ice Feature Estimation.
NTNU Norges teknisk-naturvitenskapelige universitet
NTNU Norges teknisk-naturvitenskapelige universitet
Masters thesis
Journal publications
-
Bellingmo, Pauline Røstum;
Albrektsen, Thor;
Standal, David Odd Erik Fürst;
Sadjina, Severin Simon;
Sandvik, Endre.
(2026)
Comparing AI and ship hydrodynamics for ship performance estimation.
Hull Performance & Insight Conference (HullPIC)
Academic article
Report
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Standal, David Odd Erik Fürst;
Rasheed, Adil;
Veggeland, Oskar Gjesdal.
(2025)
Ice Feature Estimation.
NTNU Norges teknisk-naturvitenskapelige universitet
NTNU Norges teknisk-naturvitenskapelige universitet
Masters thesis
Outreach
2026
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Academic lectureBellingmo, Pauline Røstum; Sandvik, Endre; Standal, David Odd Erik Fürst; Sadjina, Severin Simon; Albrektsen, Thor. (2026) Comparing AI and ship hydrodynamics for ship performance estimation. Hull Performance & Insight Conference (HullPIC) 2026 , Siena 16.03.2026 - 18.03.2026
2025
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Academic lectureBellingmo, Pauline Røstum; Standal, David Odd Erik Fürst. (2025) How can AI contribute to greener shipping?. Ocean Technology Day 2025 , Trondheim 27.11.2025 - 27.12.2025