Homepage Günther Eibl

FH-Prof. Dr. Günther Eibl
Senior Researcher and Lecturer
Center for Secure Energy Informatics

Salzburg University of Applied Sciences

E-Mail: guenther.eibl at en-trust dot at



  • MSc in mathematics (numerics thesis pdf )
  • MSc in physics (plasma physics simulation thesis pdf )
  • PhD in machine learning (multiclass boosting thesis pdf )
  • CV: CV_Eibl_en

Teaching at FH Salzburg

Bachelor-degree program: applied mathematics first two semesters

Master-degree program: lectures applied statistics and data mining in semesters 2 and 3, respectively

Research interests

Primary 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 and statistics
  • 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.


The most comprehensive list can be found at my Google scholar profile

Papers of my core research can be found at Papers Center for Secure Energy Informatics

Since I like visualization, here are CSE-related research topics and methods

General skills, interests, past experiences