Sebastian Schmidl

Software Engineer

I am a software engineer and Ph.D. student at the Hasso Plattner Institute in Berlin Area, Germany. My current fields of interest are data engineering as well as distributed, scalable, and reactive systems. In my spare time I read about space flight, astronomy, and music or I do sports, such as playing table tennis and running.

I have a passion for clean code and well designed APIs. I quickly grasp new concepts and I enjoy working on new challenges to further improve my skill set. I can confidentially describe myself as a reliable, flexible, and open-minded team player. One of the many ways I benefit teams is by self-initiative, helpfulness and sincerity.

Write me an email or use LinkedIn to contact me. You can explore my software engineering project portfolio on Github.

Publications

Seeger, M., Schmidl, S., Vielhauer, A., Papenbrock, T. (2023). DPQL: The Data Profiling Query Language. Proceedings of the conference on Database Systems for Business, Technology, and Web (BTW). Gesellschaft für Informatik, Bonn. (p. 391-415). doi: 10.18420/BTW2023-19 . Download.
Schmidl, S., Wenig, P., Papenbrock, T. (2023). HYPEX: Hyperparameter Optimization in Time Series Anomaly Detection. Proceedings of the conference on Database Systems for Business, Technology, and Web (BTW). Gesellschaft für Informatik, Bonn. (p. 461-483). doi: 10.18420/BTW2023-22 . Download.
Wenig, P., Schmidl, S., Papenbrock, T. (2022). TimeEval: A Benchmarking Toolkit for Time Series Anomaly Detection Algorithms. PVLDB 12(15). (p. 3678-3681). doi: 10.14778/3554821.3554873 . Download.
Schmidl, S., Wenig, P., & Papenbrock, T. (2022). Anomaly Detection in Time Series: A Comprehensive Evaluation. PVLDB 15(9). (p. 1779-1797). DOI: 10.14778/3538598.3538602 . Download.
Schmidl, S., & Papenbrock, T. (2022). Efficient Distributed Discovery of Bidirectional Order Dependencies. The VLDB Journal 31. (p. 49-74). DOI: 10.1007/s00778-021-00683-4 . Download.
Weise, J., Schmidl, S., & Papenbrock, T. (2021). Optimized Theta-Join Processing. Proceedings of the Conference on Database Systems for Business, Technology, and Web (BTW). Gesellschaft für Informatik, Bonn. (p. 59-78). DOI: 10.18420/btw2021-03 . Download.
Schmidl, S., Schneider, F., & Papenbrock, T. (2019). An Actor Database System for Akka. Proceedings of the Conference on Database Systems for Business, Technology, and Web (BTW) – Workshopband. Gesellschaft für Informatik, Bonn. (p. 225-234). DOI: 10.18420/btw2019-ws-23 . Download.

Unrefereed Publications and Reports

Schmidl, S. (2020). Efficient Distributed Discovery of Bidirectional Order Dependencies. Master Thesis. Faculty of Digital Engineering, University of Potsdam, Potsdam. Download.
Schmidl, S. & Waack, J. (2019). Distributed Order Dependency Discovery. Technical Report. Hasso Plattner Institute, Potsdam. Download.
Schmidl, S. (2019). Self-Healing Microservices with Kubernetes. Technical Report. Hasso Plattner Institute, Potsdam. Download.
Bock, B., Meissner, A., Schiewe, V., & Schmidl, S. (2019). Optimal Self-Sovereign Identity using Blockchain-Technology. Technical Report. Hasso Plattner Institute, Potsdam.
Schmidl, S. (2019). How to Repair Data? The HoloClean Framework. Technical Report. Hasso Plattner Institute, Potsdam. Download.
Kroschewski, J. M., Preuß, A., Schmidl, S., Schöne, F. C., Stebner, A., & Straßenburg, N. H. (2018). Entwicklung eines Deep Learning Ansatzes für Image Captioning. Technical Report. Hasso Plattner Institute, Potsdam.
Bock, B., Fischer, M., & Schmidl, S. (2018). Brand Personality Prediction based on Big Five User Personality Scores. Technical Report. Hasso Plattner Institute, Potsdam.
Bock, B., Schmidl, S., & Weisgut, M. (2018). Implementation of Log-Based Security Analysis for Cloud Storage Broker. Technical Report. Hasso Plattner Institute, Potsdam. (Report is subject to restriction note)
Schmidl, S. (2017). Untersuchung von Advanced Persistent Threats: Welche Hinweise finden sich in sicherheitsrelevanten Log-Daten? Bachelor Thesis. Baden-Württemberg Cooperative State University, Karlsruhe and SAP SE, Walldorf. (Thesis is subject to restriction note)