Cristin

2024
1.	Panchi, Nabil; Kim, Ekaterina. SeaIceWeather. IEEE Dataport 2024 NTNU Untitled
2023
2.	Kim, Ekaterina. Arctic Hive Mind. Nordic Probabilistic AI School (ProbAI); 2023-06-12 - 2023-06-16 NTNU Untitled

3.	Kim, Ekaterina. Gjør vi nok for det grønne skiftet for skipsfart i Arktis?. Skipsrevyen 2023 (1) s. 46-48 NTNU Untitled

4.	Kim, Ekaterina. Heterogeneous sea ice data: Complexity and possibilities for Automation. DigitalSeaIce digital workshop spring 2023; 2023-05-23 - 2023-05-24 NTNU Untitled

5.	Kim, Ekaterina. ICEXPERT v1.0.0b. DOI: 10.5281/zenodo.7837352 2023 NTNU Untitled

6.	Kim, Ekaterina; Høyland, Knut Vilhelm; Frederking, R.. Reconstructing ice force-displacement development in structural assessments of freshwater, polycrystalline ice impacts. International Journal of Impact Engineering 2023 ;Volum 176. NTNU Untitled

7.	Kim, Ekaterina; Mokhtari, Mojtaba; Oftedahl, Live. Arctic Hive Mind. NTNU Untitled

8.	Kim, Ekaterina; Skjetne, Roger; Høyland, Knut Vilhelm. Quadruple Helix Framework for Sea Ice Monitoring: Next Steps. ESA’s 2023 workshop on Coastal and Marine applications of SAR (ESA SP-565); 2023-05-02 - 2023-05-06 NTNU Untitled

9.	Mokhtari, Mojtaba; Kim, Ekaterina; Amdahl, Jørgen. A non-linear viscoelastic material model with progressive damage based on microstructural evolution and phase transition in polycrystalline ice for design against ice impact. International Journal of Impact Engineering 2023 ;Volum 176. s. - NTNU Untitled

10.	Mokhtari, Mojtaba; Kim, Ekaterina; Amdahl, Jørgen. A rate and pressure dependent elastoplastic material model for glacial ice colliding with marine structures. I: Advances in the analysis and design of marine structures : Proceedings of the 9th International Conference on Marine Structures (MARSTRUCT 2023), Gothenburg, Sweden, 3-5 April 2023. CRC Press 2023 ISBN 9781003399759. s. 597-603 NTNU Untitled

11.	Mokhtari, Mojtaba; Kim, Ekaterina; Amdahl, Jørgen. Numerical Simulation of an Aluminium Panel Subject to Ice Impact Load Using a Rate and Pressure Dependent Elastoplastic Material Model for Ice. I: ASME 2023 42nd International Conference on Ocean, Offshore and Arctic Engineering. Volume 6: Polar and Arctic Sciences and Technology. The American Society of Mechanical Engineers (ASME) 2023 ISBN 978-0-7918-8688-5. NTNU Untitled

12.	Panchi, Nabil; Kim, Ekaterina; Skjetne, Roger; Hughes, Nick. ASSIST Observations 2017–2021: Uncertainty, Comparison With Sea Ice Charts, and Ice Concentration From Deep Learning Model. I: ASME 2023 42nd International Conference on Ocean, Offshore and Arctic Engineering. Volume 6: Polar and Arctic Sciences and Technology. The American Society of Mechanical Engineers (ASME) 2023 ISBN 978-0-7918-8688-5. MET NTNU Untitled

13.	Xu, Sheng; Kim, Ekaterina. Hybrid causal logic model for estimating the probability of an icebreaker–ship collision in an ice channel during an escort operation along the Northeast Passage. Ocean Engineering 2023 ;Volum 284. s. - NTNU Untitled

14.	Xu, Sheng; Kim, Ekaterina; Panchi, Nabil. Investigating the causes of vessel besetting in the ice channel in the Baltic Sea using AIS data and Sentinel imagery. International Conference on Transportation Information and Safety (ICTIS) 2023 NTNU Untitled
2022
15.	Bazilchuk, Nancy Reney; Kim, Ekaterina. The worst polluters in the Arctic are not what you think. Norwegian SciTech News 2022 NTNU Untitled

16.	Kim, Ekaterina. Human Brain vs Deep Learning in Extreme Environment. SIOS Webinar Series: Machine Learning in Polar Regions; 2022-11-25 - 2022-11-25 NTNU Untitled

17.	Kim, Ekaterina. The Rising Field of AI in Polar Research. ASSW; 2022-03-28 - 2022-03-28 NTNU Untitled

18.	Kim, Ekaterina. Transforming the Arctic future with Artificial Intelligence: A Norwegian Perspective. Arctic Frontiers; 2022-05-08 - 2022-05-11 NTNU Untitled

19.	Mokhtari, Mojtaba; Kim, Ekaterina; Amdahl, Jørgen. Pressure-dependent plasticity models with convex yield loci for explicit ice crushing simulations. Marine Structures 2022 ;Volum 84. s. 103233- NTNU Untitled

20.	Panchi, Nabil; Verma, Uttam; Kim, Ekaterina; Hughes, Nick; Bhattacharyya, Anirban. Assessment of Uncertainty in Sea Ice Charts and Its Impact on Operational Planning in the Kara Sea Region. I: ASME 2022 41st International Conference on Ocean, Offshore and Arctic Engineering Volume 6: Polar and Arctic Sciences and Technology. The American Society of Mechanical Engineers (ASME) 2022 ISBN 978-0-7918-8591-8. s. - MET NTNU Untitled

21.	Schreier, Sebastian; Arena, Felice; Bingham, Harry; Fonseca, Nuno; Hu, Zhiqiang; Karmakar, Debabrata; Kim, Ekaterina; Li, Hui; Liu, Pengfei; Murai, Motohiko; Pahos, Spiro J; Tian, Chao; Wang, George. Ocean space utilization. I: Proceedings of the 21st International Ship and Offshore Structures Congress, Volume 2. Society of Naval Architects and Marine Engineers (SNAME) 2022 ISBN 979-8-3507-0678-9. OCEAN NTNU Untitled

22.	Xu, Sheng; Kim, Ekaterina; Haugen, Stein. Impact of the ice navigation experience on the determination of CPT for BN model focusing on Arctic navigation. I: Proceedings of the 32nd European Safety and Reliability Conference (ESREL 2022). Research Publishing Services 2022 ISBN 978-981-18-5183-4. s. 760-767 NTNU Untitled

23.	Xu, Sheng; Kim, Ekaterina; Haugen, Stein; Zhang, Mingyang. A Bayesian network risk model for predicting ship besetting in ice during convoy operations along the Northern Sea Route. Reliability Engineering & System Safety 2022 ;Volum 223. s. - NTNU Untitled

24.	Zhao, Weidong; Leira, Bernt Johan; Høyland, Knut Vilhelm; Kim, Ekaterina; Feng, Guoqing; Chen, Zhanyang; Gui, Hongbin. On the Structural Analysis of Icebreakers Due to Ramming of First-Year Ice Ridges. I: ASME 2022 41st International Conference on Ocean, Offshore and Arctic Engineering Volume 6: Polar and Arctic Sciences and Technology. The American Society of Mechanical Engineers (ASME) 2022 ISBN 978-0-7918-8591-8. s. - NTNU Untitled
2021
25.	Kim, Ekaterina; Hughes, Nick; Verma, Uttam; Panchi, Nabil. Quantifying Uncertainties in MET Norway and AARI Ice Charts for the Kara Sea. IICWG-XXII; 2021-09-19 - 2021-09-24 MET NTNU Untitled

26.	Kim, Ekaterina; Panchi, Nabil. AGREE − DISAGREE: COMPARING TRAFFIC LIMITATIONS IN THE KARA SEA. 40th International Conference on Ocean, Offshore and Arctic Engineering; 2021-06-21 - 2021-06-30 NTNU Untitled

27.	Kim, Ekaterina; Panchi, Nabil; Pedersen, Ole-Magnus; Løset, Sveinung; Bhattacharyya, Anirban. Automating validation of satellite‐derived ice‐cover features: Discriminating ice objects in optical ice images with different degrees of local texture distortions. Second AI and Data Science Workshop for Earth and Space Sciences; 2021-02-09 - 2021-02-11 NTNU Untitled

28.	Panchi, Nabil; Kim, Ekaterina. 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. Phi Week 2021 side-event: Machine Learning for Operational Sea Ice Charting II; 2021-10-15 - 2021-10-15 NTNU Untitled

29.	Bazilchuk, Nancy Reney; Kim, Ekaterina. What kind of sea ice is that? Ask Knut!. Norwegian SciTech News 2021 NTNU Untitled

30.	Edin, Sara Ylva Louise; Kim, Ekaterina. AIDingArctic: Workshop on Artificial Intelligence & Data Science for the Arctic. NTNU Untitled

31.	Kim, Ekaterina. Applying AI and Data Science Tools to Optical Images and AIS Data from the Arctic. Southern Ocean Decade & Polar Data Forum Week 2021; 2021-09-20 - 2021-09-24 NTNU Untitled

32.	Kim, Ekaterina. Illustration for the AIDing Arctic Website. NTNU 2021 NTNU Untitled

33.	Kim, Ekaterina; Amdahl, Jørgen; Wang, Xintong. Making sense of speed effects on ice crushing pressure-area relationships in IACS ice-strengthening rules for ships. Ocean Engineering 2021 ;Volum 230. s. - NTNU Untitled

34.	Kim, Ekaterina; Panchi, Nabil. Agree – Disagree: Comparing Traffic Limitations in the Kara Sea. I: ASME 2021 40th International Conference on Ocean, Offshore and Arctic Engineering Volume 7: Polar and Arctic Sciences and Technology. The American Society of Mechanical Engineers (ASME) 2021 ISBN 978-0-7918-8517-8. s. - NTNU Untitled

35.	Kim, Ekaterina; Skjetne, Roger. Artificial intelligence for ship speed management during navigation in the Arctic. Proceedings - International Conference on Port and Ocean Engineering under Arctic Conditions 2021 s. - NTNU Untitled

36.	Panchi, Nabil; Kim, Ekaterina; Bhattacharyya, Anirban. 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 2021 ;Volum 21.(16) s. 18004-18019 NTNU Untitled

37.	Rao, Prithvi S.; Kim, Ekaterina; Smestad, Bjørnar Brende; Asbjørnslett, Bjørn Egil; Bhattacharyya, Anirban. Predicting vessel speed in the Arctic without knowing ice conditions using AIS data and decision trees. Maritime Transport Research 2021 ;Volum 2. s. - NTNU Untitled

38.	Xu, Sheng; Kim, Ekaterina; Haugen, Stein. Review and comparison of existing risk analysis models applied within shipping in ice-covered waters. Safety Science 2021 ;Volum 141. s. - NTNU Untitled

39.	Zhao, Weidong; Leira, Bernt Johan; Kim, Ekaterina; Feng, Guoqing; Sinsabvarodom, Chana. A Probabilistic Framework for the Fatigue Damage Assessment of Ships Navigating through Level Ice Fields. Applied Ocean Research 2021 ;Volum 111. s. - NTNU Untitled

40.	Øyen, Karin Assev; Kim, Ekaterina. How safe were vessels during research cruises in Arctic in 2007-2019? Linking the Ice Watch Data and the Polar Operational Limits Assessment Risk Index System. I: Proceedings of the Thirty-first (2021) International Ocean and Polar Engineering Conference, Rhodes, Greece, June 20 – 25, 2021. International Society of Offshore & Polar Engineers 2021 ISBN 978-1-880653-82-1. s. 843-849 NTNU Untitled
2020
41.	Høyland, Knut Vilhelm; Kim, Ekaterina; Marchenko, Aleksey; Lishman, Ben; Barrette, Paul D.. Ice properties in ISO 19906's second edition. I: PROCEEDINGS OF THE 25th INTERNATIONAL SYMPOSIUM ON ICE Trondheim, Norway, 23rd – 25th November 2020. IAHR International Symposium on Ice 2020 ISBN 978-82-7598-120-0. s. 73-82 NTNU UNIS Untitled

42.	Kim, Ekaterina; Smestad, Bjørnar Brende; Asbjørnslett, Bjørn Egil. Predicting ship speeds in the Arctic using deep learning on historical AIS data. I: Proceedings of the Thirtieth (2020) International Ocean and Polar Engineering Conference Shanghai, China, October 11-16, 2020. International Society of Offshore & Polar Engineers 2020 ISBN 978-1-880653-84-5. s. 622-626 NTNU Untitled

43.	Panchi, Nabil; Kim, Ekaterina; Xu, Sheng. Do vessels remain within their operational limitations in ice? Analyzing the risks of vessels operating in the Kara Sea region using POLARIS. 39th International Conference on Ocean, Offshore and Arctic Engineering; 2020-06-28 - 2020-07-03 NTNU Untitled

44.	Panchi, Nabil; Kim, Ekaterina; Xu, Sheng. Do vessels remain within their operational limitations in ice? Analyzing the risks of vessels operating in the Kara Sea region using POLARIS. I: ASME 2020 39th International Conference on Ocean, Offshore and Arctic Engineering - Volume 7: Polar and Arctic Sciences and Technology. The American Society of Mechanical Engineers (ASME) 2020 ISBN 978-0-7918-8439-3. s. - NTNU Untitled

45.	Pedersen, Ole-Magnus; Kim, Ekaterina. Arctic Vision: Using Neural Networks for Ice Object Classification, and Controlling How They Fail. Journal of Marine Science and Engineering (JMSE) 2020 ;Volum 8.(10) NTNU Untitled

46.	Pedersen, Ole-Magnus; Kim, Ekaterina. Evaluating Human and Machine Performance on the Classification of Sea Ice Images. I: PROCEEDINGS OF THE 25th INTERNATIONAL SYMPOSIUM ON ICE Trondheim, Norway, 23rd – 25th November 2020. The International Association for Hydro-Environment Engineering and Research (IAHR) 2020 ISBN 978-82-7598-120-0. NTNU Untitled
2019
47.	Kim, Ekaterina; Panchi, Nabil; Dahiya, Gurvinder. Towards automated identification of ice features for surface vessels using deep learning. Journal of Physics: Conference Series (JPCS) 2019 ;Volum 1357.(1) s. - NTNU Untitled

48.	Panchi, Nabil; Kim, Ekaterina; Bhattacharyya, Anirban. Understanding Polar Environment: Preliminary Results from Deep-Learning-based Segmentation of Optical Ice Images. I: Proceedings of the 6th International Conference on Ship & Offshore Technology. : The Royal Institution of Naval Architects 2019 ISBN 9781909024922. s. 169-179 NTNU Untitled

49.	Kim, Ekaterina; Dahiya, Gurvinder; Løset, Sveinung; Skjetne, Roger. Can a computer see what an ice expert sees? Multilabel ice objects classification with convolutional neural networks. Results in Engineering (RINENG) 2019 ;Volum 4. s. 1-13 NTNU Untitled

50.	Kim, Ekaterina; Panchi, Nabil; Dahiya, Gurvinder. Towards automated identification of ice features for surface vessels using deep learning. Journal of Physics: Conference Series (JPCS) 2019 NTNU Untitled

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