Arctic hivemind
Arctic Hive Mind
Our goal is to identify and develop technology for ice-covered waters

We challenge existing practices and work across disciplines such as marine engineering, cybernetics, applied machine learning, computational ice mechanics, and risk modelling.
Core technologies from this group support applications such as digital infrastructure for coordinated observations of ice conditions and forecasting, design and operation of marine structures exposed to the risk of ice impact, human-centered exploration and understanding of harsh environments.
Research skills and expertise
- Sensor systems and algorithms for collaborative sea ice monitoring, including ice object(s) detection, localization and mapping, and characterization of uncertainties.
- Risk models for multi-agent systems in ice, including escort and convoy operations.
- Algorithms for modelling of local ice loads, including phase transitions in ice during crushing as well as multiphysics simulations of ice-water-structure interaction(s)
Highlights
Collaborations
Cooperation platform
AIDing Arctic Initiative
Projects
- Digital Sea Ice
- NTNU Arctic and polar
- IMT Risk, Safety and Asset Management
- FUSE
- SFI AutoShip
- PH2050
Local ice loads during crushing
Multiphysics simulations
Coupled collision simulations that enable detailed analysis of the local and global structural response of the floating wind system to combined wave and ice loads.
Who we are
Ekaterina Kim
Mojtaba Mokthari
Nabil Panchi
Md Ashiqul Alam Khan
Oskar Gjesdal Veggeland


