Ekaterina Kim

Ekaterina Kim is an Associate Professor at the Department of Marine Technology, Norwegian University of Science and Technology (NTNU), within the Faculty of Engineering. She specializes in Arctic engineering, focusing on ice mechanics, structural analysis, and AI-driven solutions for extreme environments. Her work bridges fundamental material science principles with engineering applications, addressing challenges such as ice-structure interactions, risk management in ice-covered waters, and autonomous systems for sea ice monitoring.

Education: Formal engineering training at Peter the Great Polytechnic University (St. Petersburg), followed by a PhD at NTNU (2010–2017). Her research integrates interdisciplinary approaches, including machine learning for sea ice classification, probabilistic risk models, and numerical simulations of ice dynamics.

Research Interests:

• Arctic technology and digitalization
• AI applications in extreme environments
• Risk analysis for ice navigation
• Sea ice parametrization and segmentation
• Structural analysis of icebreakers

Publications: Over 30 peer-reviewed articles, focusing on Bayesian networks for risk modeling, autonomous sea ice mapping systems, and material models for ice impact. Recent work emphasizes AI-driven solutions for operational safety and data-driven decision support in the Arctic.

Awards & Recognition: While no specific awards are listed, her contributions to Arctic research are highlighted through collaborative projects like the Arctic Hive Mind Group and the AIDing Arctic initiative. She also contributes to education, teaching courses on finite element methods and ice-structure interaction.

Labs & Teams: Leads the Arctic Hive Mind Group at NTNU, fostering interdisciplinary collaboration between engineers, data scientists, and Arctic experts. Involved in the Risk Group within the Department of Marine Technology.