 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 |
Education
- 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.
Publications
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
