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, 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
- 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
- Arctic Marine Environment
Local ice loads during crushing
Who we are
Associate Professor
Ekaterina Kim
”Ever since my one-year stay in Longyearbyen, Svalbard, I am surrendering my focus to Arctic-related engineering challenges.”
Associate Professor
Mojtaba Mokthari
"Ice mechanics: the coolest puzzle I can't quit, even when it makes my brain freeze!"
PhD Candidate
Nabil Panchi
"My summer stay at NTNU inspired me towards research at the intersection of Computer Science and Arctic Engineering."
PhD Candidate
Md Ashiqul Alam Khan
"As a robotics and computer vision enthusiast, I am dedicated to understanding how technology can shape the future."
PhD Candidate
Oskar Gjesdal Veggeland
"With a background from engineering cybernetics I look forward to applying my knowledge in a new field. This summer I will do my first Arctic field study, collecting camera and lidar measurements from a shipborne sensor stack."