Background and activities
I went on formal engineering education at Peter the Great Polytechnic University in St. Petersburg. After spending one year on Svalbard, I discovered a passion for ice mechanics and Arctic engineering research. This brought me to Norway and came to Trondheim in 2010 to pursue a Ph.D. degree at NTNU. Since 2017, I work as an Associate Professor at the NTNU’s Department of Marine Technology. Most of my time is spent on research, but I am also an artist. One of my most noticeable artworks was exhibited in various cities and cataloged at the Kinder-Kunst-Museum in Berlin. I also make book covers and illustrations.
I am increasingly interested in interdisciplinary research addressing fundamental Arctic challenges. For instance, how physical processes discovered in laboratory tests at a small scale (mm-scale) relate to those observed at the engineering scale (m-km scale). Can one make sense of the current engineering standards in view of fundamental principles of material science? What is the relation between ship speed and risks from a human- and(or) system-based point of view? How can AI assist humans in extreme environments? How to prevent accidents in icy waters?
My current research interests include learning from the past ocean data and solving limitations of new technologies (artificial intelligence, augmented intelligence, transfer learning, etc.) using the northernmost regions as a testbed.
TMR4190 - Finite Element Methods in Structural Analysis (from Autumn 2020)
TMR4565 - Marin Systems Design, Specialization Course (Autumn 2021)
TBA4260 - Ice Actions on Arctic Structures - Local ice loads on floating structures (from Autumn 2018)
- TMR4170 - Marine Structures
- TMR4560 - Marine Systems Design, Specialization Project
- TMR4135 - Design Methods 2: Special Vessels
Scientific, academic and artistic work
A selection of recent journal publications, artistic productions, books, including book and report excerpts. See all publications in the database
- (2022) Pressure-dependent plasticity models with convex yield loci for explicit ice crushing simulations. Marine Structures. vol. 84.
- (2022) A Bayesian network risk model for predicting ship besetting in ice during convoy operations along the Northern Sea Route. Reliability Engineering & System Safety. vol. 223.
- (2021) Making sense of speed effects on ice crushing pressure-area relationships in IACS ice-strengthening rules for ships. Ocean Engineering. vol. 230.
- (2021) Artificial intelligence for ship speed management during navigation in the Arctic. Proceedings - International Conference on Port and Ocean Engineering under Arctic Conditions.
- (2021) Supplementing remote sensing of ice: Deep learning-based image segmentation system for automatic detection and localization of sea ice formations from close-range optical images. IEEE Sensors Journal. vol. 21 (16).
- (2021) Predicting vessel speed in the Arctic without knowing ice conditions using AIS data and decision trees. Maritime Transport Research. vol. 2.
- (2021) Review and comparison of existing risk analysis models applied within shipping in ice-covered waters. Safety Science. vol. 141.
- (2021) A Probabilistic Framework for the Fatigue Damage Assessment of Ships Navigating through Level Ice Fields. Applied Ocean Research. vol. 111.
- (2020) Arctic Vision: Using Neural Networks for Ice Object Classification, and Controlling How They Fail. Journal of Marine Science and Engineering. vol. 8 (10).
- (2019) Towards automated identification of ice features for surface vessels using deep learning. Journal of Physics: Conference Series (JPCS). vol. 1357 (1).
- (2019) Can a computer see what an ice expert sees? Multilabel ice objects classification with convolutional neural networks. Results in Engineering (RINENG). vol. 4.
- (2019) Towards automated identification of ice features for surface vessels using deep learning. Journal of Physics: Conference Series (JPCS).
- (2019) Applying CAST to investigation of the FPSO’s incident with an iceberg. Proceedings - International Conference on Port and Ocean Engineering under Arctic Conditions. vol. 2019-June.
- (2019) Uncertainty quantification in the ice-induced local damage assessment of a hull section. Proceedings - International Conference on Port and Ocean Engineering under Arctic Conditions. vol. 2019-June.
- (2019) Work on structural integrity for semi submersibles exposed to bergy bits – integrated analysis of ice structure impacts. IOP Conference Series: Materials Science and Engineering. vol. 700:012058.
- (2017) Laboratory experiments on shared-energy collisions between freshwater ice blocks and a floating steel structure. Ships and Offshore Structures. vol. 12 (4).
- (2016) Discussion of assumptions behind rule-based ice loads due to crushing. Ocean Engineering. vol. 119.
- (2016) A Preliminary Analysis of the Crushing Specific Energy of Iceberg Ice under Rapid Compressive Loading. Proceedings of the IAHR International Symposium on ice.
- (2016) A comparative analysis of the fluid-structure interaction method and the constant added mass method for ice-structure collisions. Marine Structures. vol. 49.
- (2015) Understanding the effect of assumptions on shell plate thickness for arctic ships. Proceedings - International Conference on Port and Ocean Engineering under Arctic Conditions. vol. 2015-January.