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M. Sc. Viktoriia BoichenkoRoom F-006Kaiserstraße 2, 24143 Kiel, Germany Phone: +49 431 880-6144 E-mail: ORCID: Google scholar: Link |
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Research: Artificial Intelligence for Hydroacoustic Signatures
Each ship has a unique acoustic signature generated by its engine. However, the marine environment and data collections poses challenges in the accurate classification of ship noise.
The research aims on developing explainable AI for classifying hydroacoustic signatures using neural networks, while integrating human expertise. The study explores convolutional networks (CNNs) with time-frequency and modulation analyses as inputs to improve the accuracy and reliability of ship classification.
Related topics:
- SONAR signal processing
- Neural networks
- Hydroacoustics
- Real-time signal processing
Further interests:
- Machine learning
- Pattern recognition
- Time-frequency and modulation analysis
Short CV
| Time span | Details |
|---|---|
| 2024 - current | Research Assistant at the Christian-Albrechts-Universität zu Kiel, Kiel, Germany |
| 2024 | Master’s thesis internship at GEOMAR – Helmholtz Centre for Ocean Research Kiel, Germany |
| 2022 - 2024 | M.Sc. in Acoustic Engineering, Erasmus Mundus Master Program “WAVES”, Portugal, Spain, France |
| 2018 - 2022 | B.Sc. in Applied Mathematics, National University of Kyiv-Mohyla Academy, Kyiv, Ukraine |
Publications


C. Kanarski, B. Kaulen, F. Kühne, M. Driesen, K. Gussow, F. Röhrdanz, K. Karatziotis, L. Schirmer, R. Burgardt, V. Boichenko, G. Schmidt: Charakterisierung der Dämpfungseigenschaften von akustischen Dämmmatten in einer Unterwassertankumgebung, Proc. DAGA, Germany, 2025


K. Karatziotis, K. Gussow, B. Boichenko, C. Kanarsaki, B. Kaulen, F. Kühne, M. Driesen, F. Röhrdanz, L. Schirmer, R. Burgardt, G. Schmidt: Classification of Vessel Types by Means of Machine Learning, Proc. DAGA, Germany, 2025


L. Schirmer, M. Boueke, C. Kanarsaki, B. Kaulen, F. Kühne, M. Driesen, F. Röhrdanz, K. Karatziotis, K. Gussow, B. Boichenko, R. Burgardt, G. Schmidt: Acoustic-magnetic Signatures of Vessels, Proc. DAGA, Germany, 2025


V. Boichenko: Acoustic Frequency Response Modelling of Multi-Bubble Compounds, Universitat Politècnica de València, 2024, http://hdl.handle.net/10251/213819


V. Boichenko, N. Shchestyuk, A. Florenko: Interpolation Problems for Random Fields on Sierpinski’s Carpet, Mohyla Mathematical Journal. 6, (Apr. 2024), 28–34., doi: https://doi.org/10.18523/2617-70806202328-34

On behalf of the members of the Chair of Digital Signal Processing and System Theory, we would like to take this opportunity to wish you all a very Merry Christmas and a peaceful, restful winter break. We hope that this festive season brings you joy, relaxation, and cherished moments with your loved ones.