΢��ҕ�l

Working thesis title

Anomaly Detection in Spatiotemporal Data

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Supervisors:

Primary Supervisor:��Varvara Vetrova

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Research Interests

Environmental Data Science, Machine Learning, Natural Language Processing, Complex Systems Engineering, Evolutionary Algorithms, Network Science.

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Academic History

1. 2010-2014: B.Sc. in Internet Computing at the University of Passau (Germany)
2. 2012-2013: Japanese studies at the Kyoto Sangyo University (Japan)
3. 2015-2017: M.Sc. in Computer Science at the University of Passau (Germany)
4. 2017-2018/2020-2021: Research and Teaching Assistant at the University of Passau��(Germany)
5. 2021-Current: PhD student in Environmental Data Science at ΢��ҕ�l

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Publications

1. 2021: Analysis of a German Legal Citation Network ()
2. 2018: Analysing Author Self-Citations in Computer Science Publications ()
3. 2018: Who Cites What in Computer Science? - Analysing Citation Patterns Across Conference Rank and Gender ()
4. 2018: Most Important First - Keyphrase Scoring for Improved Ranking in Settings With Limited Keyphrases ()
5. 2023:��Foehn Wind Analysis using Unsupervised Deep Anomaly Detection��()