Hasso-Plattner-Institut
Prof. Dr. Felix Naumann
 

Sebastian Schmidl

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

Office: F-2.04

Phone: +49 331 5509 4977
Email: Sebastian Schmidl

Research Interests

  • Distributed computing
  • Scalable and reactive systems
  • Data engineering
  • Time series analytics

Teaching

Master Projects:

  • CAST: Classifying Time Series Anomalies (2022/2023)

Bachelor Projects:

  • UltraMine - Scalable Analytics on Time Series Data (2020/2021)

Seminars:

  • Advanced Data Profiling (Master, 2023/2024)
  • Large-Scale Time Series Analytics (Master, 2021/2022)
  • Sustainable Machine Learning on Edge Device Clusters (Master, 2020, assistance)

Lectures:

  • Guest Lecture about Order Dependencies for the Data Profiling course (2023)
  • Guest Lecture about distributed discovery of Order Dependencies for the Data Profiling course (2020/2021)

Master Thesis (supervision):

  • DPQLEngine: Processing the Data Profiling Query Language (Marcian Seeger UMR, 2023, supervision assistance)
  • Correlation Anomaly Detection in High-Dimensional Time Series (Niklas Köhnecke, 2023)
  • 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, supervision assistance)

Publications