Doctoral Researcher - Marine Data Science
Research Division: Ocean Circulation and Climate Dynamics
Department of Physical Oceanography
Ocean and Cryosphere in Climate
E-Mail: fscarscelli@geomar.de
Tel: +494316004106
Office: Room 5.3.110
Member of MarDATA | Helmholtz School for Marine Data Science
Associate Researcher at Database Systems and Data Mining Group, Kiel University
Research Experience
[Mar 2025 - Today]
Doctoral Researcher - Marine Data Science
Physical Oceanography - GEOMAR | Helmholtz Centre for Ocean Research
[Mar 2024 - Feb 2025]
Research Fellow - Landfill methane emission monitoring with unmanned aerial vehicles
Relevant National Interest Project (PRIN) - University of Turin
[Nov 2023 - Aug 2024]
Master thesis research follow-up - Skills Mismatch advanced analytics
SKiNT Project (Skills Intelligence for Integrated Labour Markets) - University of Turin
Education
[Ongoing]
PhD in Computer Science
Christian Albrechts University of Kiel, Germany
[Nov 2023]
MSc 'cum laude' in Statistics
University of Turin, Italy
[Apr 2021]
BSc in Mathematics
University of Turin, Italy
[2019]
12 months Erasmus+ Scholarship
University of Zaragoza, Spain
Book chapters
, Zelenka, C., Kröger, P. and Schütte, F.
(2026)
Eddy Hunter: A Data Mining System for High-Resolution Eddy Signals, Leveraging Spatio-Temporal Similarities in the SWOT Satellite Data.
In: Similarity Search and Applications.
; 16134
.
Springer, Cham, Switzerland, pp. 392-399.
ISBN 978-3-032-06068-6
DOI 10.1007/978-3-032-06069-3_32.
, Zelenka, C. , Kazempour, D. , Kröger, P. and Schütte, F.
(2025)
Anomalies In The Depths: Evaluating Unsupervised Anomaly Detection on Real-World Unlabelled Data. A Case Study on Autonomous Ocean Gliders.
In: Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Geospatial Anomaly Detection.
.
GeoAnomalies '25
.
Association for Computing Machinery, New York, NY, USA, pp. 25-32.
ISBN 979-8-4007-2260-8
DOI 10.1145/3764914.3770592.
Conference posters
, Zelenka, C. , Schütte, F. and Kröger, P.
(2025)
The Eddy Hunter System: a data mining system for high-resolution eddy signals, leveraging spatio-temporal similarities in SWOT satellite data.
[Poster]
In: Digital Twins of the Ocean Symposium. , 18.06.2025, Kiel, Germany .
