Our group includes PostDocs, PhD students, and student assistants, and is headed by Prof. Felix Naumann. If you are interested in joining our team, please contact Felix Naumann.
For bachelor students we offer German lectures on database systems in addition to paper- or project-oriented seminars. Within a one-year bachelor project, students finalize their studies in cooperation with external partners. For master students we offer courses on information integration, data profiling, and information retrieval enhanced by specialized seminars, master projects and we advise master theses.
Most of our research is conducted in the context of larger research projects, in collaboration across students, across groups, and across universities. We strive to make available most of our datasets and source code.
Ph.D. student at the chair for Infomation Systems at Hasso Plattner Institute for Digital Engineering. I am in the distributed computing research group, where we investigate computationally complex problems and how they can be solved in distributed environments.
Contact Information
Hasso-Plattner-Institut für Digital Engineering gGmbH Prof.-Dr.-Helmert-Str. 2-3 D-14482 Potsdam
CAST: Classifying Time Series Anomalies (2022/2023)
Bachelor Projects:
UltraMine - Scalable Analytics on Time Series Data (2020/2021)
Seminars:
Large-Scale Time Series Analytics (Master, 2021/2022)
Sustainable Machine Learning on Edge Device Clusters (Master, 2020, assistance)
Lectures:
Guest Lecture about distributed discovery of Order Dependencies for the Data Profiling course (2020/2021)
Master Thesis (supervision and assistance):
Correlation Anomaly Detection in High-Dimensional Time Series (Niklas Köhnecke, ongoing)
HYPEX: Explainable Hyperparameter Optimization in Time Series Anomaly Detection (Mats Pörschke, 2022)
Time Series Anomaly Detection: An Aircraft Turbine Case Study (Jacopo Roberto Nicosia, 2022)
A2DB: A Reactive Database for Theta-Joins (Julian Weise, 2020)
Publications
Marcian Seeger, Sebastian Schmidl, Alexander Vielhauer, Thorsten Papenbrock: DPQL: The Data Profiling Query Language. Proceedings of the conference on Database Systems for Business, Technology, and Web (BTW), 2023 (to appear)
Sebastian Schmidl, Phillip Wenig, Thorsten Papenbrock: HYPEX: Hyperparameter Optimization in Time Series Anomaly Detection. Proceedings of the conference on Database Systems for Business, Technology, and Web (BTW), 2023 (to appear)
Phillip Wenig, Sebastian Schmidl, Thorsten Papenbrock: TimeEval: A Benchmarking Toolkit for Time Series Anomaly Detection Algorithms. PVLDB 12:(15), 2022 [Paper][Project Page][DOI:10.14778/3554821.3554873]
Julian Weise, Sebastian Schmidl, Thorsten Papenbrock: Optimized Theta-Join Processing. Proceedings of the Conference on Database Systems for Business, Technology, and Web (BTW), 2021 [Paper][Project Page][DOI:10.18420/btw2021-03]
Sebastian Schmidl, Frederic Schneider, Thorsten Papenbrock: An Actor Database System for Akka. Proceedings of the conference on Database Systems for Business, Technology, and Web (BTW) - Workshopband, 2019 [Paper][DOI:10.18420/btw2019-ws-23]
"Thinking about complex systems and how we organize them is an elementary component of the teaching and research at this institute, and that’s very impressive.”
Vinton Cerf, Google
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