Sebastian Strasser

I am a PhD student in Meike Klettke's group for Data Engineering. My research focuses on the monitoring of data pipelines, especially considering the effect data changes have on downstream applications.

Research Interests

Data-centric AI
Monitoring of data in ML pipelines
Concept drift detection

Publications

Sebastian Strasser, Meike Klettke: Transparent Data Preprocessing for Machine Learning, HILDA@SIGMOD, 2024 (DOI)
Sebastian Strasser: Towards machine learning-aware data validation. GvDB, 2024 (PDF)
Mark Lukas M?ller, Dominique Hausler, Sebastian Strasser, Tanja Auge, Meike Klettke: Heterogeneity in NoSQL Databases - Challenges of Handling schema-less Data. LWDA, 2023 (PDF)
Lucas Woltmann, Peter Benjamin Volk, Michael Dinzinger, Lukas Gr?f,
Sebastian Strasser, Johannes Schildgen, Claudio Hartmann, Wolfgang Lehner: Data Science Meets High-Tech Manufacturing - The BTW2021 Data Science Challenge. Datenbank Spektrum 22(1), 2022 (DOI)

Thesis

Sebastian Strasser:
Finding Potential Synthetic Cannabinoids in Forensic Drug Analysis Data.
Master Thesis, University of Applied Sciences Regensburg, 2023 (pdf)

Teaching

Lectures and Seminars:

Aktuell

Data Engineering (?bung, WS 24/25)

Abgeschlossen

Datenbanken (?bung, SS 24)
Programmieren I (?bung, WS 23/24)
Integrierte Lehrveranstaltung (Vorlesung + Seminar): Data Engineering (SS 23)

Theses

ageschlossen

Visualisation and Interactive Exploration of Data Changes in Data Engineering Workflows (Bachelorarbeit)

Curriculum Vitae

Scientific Career

since May 2023	PhD student, Faculty for Computer Science and Data Science, Data Engineering, University of Regensburg, Germany
2021-2023	Graduate student of Computer Science, University of Applied Sciences Regensburg, Germany
2017-2021	Undergraduate student of Information Systems, University of Applied Sciences Regensburg, Germany
2016-2020	Dual Study Program, Krones AG, Neutraubling, Germany