Doctoral student at the Blekinge Institute of Technology
I am a PhD student in Computer Science at the Department of Computer Science and Engineering, BTH, Karlskorna, and a assistant in a project led in cooperation with BTH, KBV, SICS and HiQ. My research focuses on maritime safety and security. The current studies include applying data modeling and anomaly detection techniques, as well as comprehensive visualization representations to marine traffic data.
My records include a Master of Science degree in Computer Science from BTH and a Master of Science with an Engineer degree in Computer Science and Engineering from the Wroclaw University of Technology. In parallel to my technical studies I was also awarded the Master of Arts degree from the Karol Lipinski Academy of Music in Wrocław.
Publications included in the licentiate thesis
- E. Osekowska, S. Axelsson and B. Carlsson. Potential fields in maritime anomaly detection. In Proceedings of the 3rd International Conference on Models and Technologies for Intelligent Transport Systems, 2013.
- E. Osekowska, H.Johnson and B. Carlsson. Optimization of grid precision for potential field based maritime anomaly detection. In Transportation Research Procedia. Elsevier, 2014.
- E. Osekowska and B. Carlsson. Visualizing anomalies and traffic rules in a maritime setting using potential fields. In Proceedings of the 6th International Conference on Information Visualization Theory and Applications (IVAPP). 2015.
Publications not included in the thesis
- E. Osekowska, I. Pozniak-Koszalka and A. Kasprzak. Impact of Propagation Factors on Routing Efficiency in Wireless Mesh Networks: A Simulation-based Study. In Proceedings of the Eleventh International Conference on Networks (ICN). pp. 28-33. 2012.