Working thesis title
Anomaly Detection in Spatiotemporal Data
Supervisors:
Primary Supervisor:Varvara Vetrova
Research Interests
Environmental Data Science, Machine Learning, Natural Language Processing, Complex Systems Engineering, Evolutionary Algorithms, Network Science.
Academic History
- 2010-2014: B.Sc. in Internet Computing at the University of Passau (Germany)
- 2012-2013: Japanese studies at the Kyoto Sangyo University (Japan)
- 2015-2017: M.Sc. in Computer Science at the University of Passau (Germany)
- 2017-2018/2020-2021: Research and Teaching Assistant at the University of Passau(Germany)
- 2021-Current: PhD student in Environmental Data Science at UC
Publications
- 2021: Analysis of a German Legal Citation Network ()
- 2018: Analysing Author Self-Citations in Computer Science Publications ()
- 2018: Who Cites What in Computer Science? - Analysing Citation Patterns Across Conference Rank and Gender ()
- 2018: Most Important First - Keyphrase Scoring for Improved Ranking in Settings With Limited Keyphrases ()
- 2023:Foehn Wind Analysis using Unsupervised Deep Anomaly Detection()
