Tobi Milz

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

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 UC

Publications

1. 2021: Analysis of a German Legal Citation Network (https://doi.org/10.5220/0010650800003064)
2. 2018: Analysing Author Self-Citations in Computer Science Publications (https://doi.org/10.1007/978-3-319-99133-7_24)
3. 2018: Who Cites What in Computer Science? - Analysing Citation Patterns Across Conference Rank and Gender (https://doi.org/10.1007/978-3-030-00066-0_32)
4. 2018: Most Important First - Keyphrase Scoring for Improved Ranking in Settings With Limited Keyphrases (https://doi.org/10.1007/978-3-030-01771-2_24)
5. 2023: Foehn Wind Analysis using Unsupervised Deep Anomaly Detection (https://doi.org/10.5194/egusphere-egu23-10256)