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Porträt von: FH-Prof. Priv.-Doz. MMag. Dr. Eibl Günther

FH-Prof. Priv.-Doz. MMag. Dr.
Günther Eibl

Senior Lecturer
Department Information Technologies and Digitalisation
Standort: Campus Urstein
Raum: Urstein - 421

Aktuelle Lehre

ITS-B | 2. SS 2024 | Mathematik 2 | IL
ITS-M | 2. SS 2024 | SP: Privacy Enhancing Technologies | IL
ITSB-B | 2. SS 2024 | Mathematik 2 | 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.



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