AISE-M | 1. WS 2024 | Analytics and Knowledge Discovery | IL
AITB-M | 1. WS 2024 | Analytics & Knowledge Discovery | IL
ITS-B | 1. WS 2024 | Mathematik 1 | IL
ITSB-B | 1. WS 2024 | Mathematik 1 | IL

Lehre (50%)

• Mathematics
• Statistics
• Data Mining

Forschung (50%)

• Deputy head of the center for secure energy informatics
• Research interest: Privacy in the smart grid with 2 main parts

  Privacy analyses

  analyze the information that can be obtained from load profiles using primarily methods from machine learning, statisticsor whatever is useful

  Privacy enhancing technologies

• Here, the focus in the past was on privacy-preserving data aggregation using homomorphic encryption, masking, differential privacy and wavelet analysis.
• Now the focus shifts to (i) tariffs and privacy-preserving price calculation and (ii) application of methods in order strictly proof privacy-preserving properties of proposed privacy-preserving protocols.

Publikationen:

• see https://scholar.google.de/citations?hl=de&user=n7TwAXcAAAAJ
• or http://www.en-trust.at/publications/

Ausbildung

• Magister in mathematics (numerics thesis)
• Magister in physics (plasma physics simulation thesis)
• Doktorat in machine learning (multiclass boosting thesis)