Projects

Research Area A: Machine Learning Methods

• A1

  Project title:  Deep anomaly detection on time series
  Research area:  Machine Learning
  Principal investigator: Prof. Dr. Marius Kloft
  

• A2

  Project title:  Verification of anomalies
  Research area:  Machine Learning
  Principal investigator:  Prof. Dr. Daniel Neider
  

• A3

  Project title:  Exploration and explanation of anomalies
  Research area:  Visualization
  Principal investigator:  Prof. Dr. Heike Leitte
  

• A4

  Project title:  Deep time-series generation using domain knowledge
  Research area:  Machine Learning
  Principal investigator:  Jun.-Prof. Dr. Sophie Fellenz
  

Research Area B: Data Generation and Knowledge-based Augmentation

• B1

  Project title:  Discontinuous processes: batch distillation
  Research area:  Chemical Engineering
  Principal investigator:  Porf. Dr. Michael Bortz, Prof. Dr.-Ing. Hans Hasse, Jun.-Prof. Dr.-Ing. Fabian Jirasek
  

• B2

  Project title:  Continuos processes: OME production
  Research area:  Chemical Engineering
  Principal investigator: Prof. Dr.-Ing Jakob Burger