Günther Eibl

Günther Eibl is a Senior Researcher and Lecturer at the Center for Secure Energy Informatics within the Salzburg University of Applied Sciences. His academic responsibilities include teaching and research in data-driven energy informatics.

• Education: MSc in Mathematics, MSc in Physics (plasma physics simulation), PhD in Machine Learning (multiclass boosting)

Research Interests

• Privacy Analyses: Investigating information extraction from smart grid load profiles using machine learning and statistical methods.
• Privacy-Enhancing Technologies: Initially focused on homomorphic encryption, masking, differential privacy, and wavelet analysis for data aggregation; now expanding into privacy-preserving tariff design and formal verification of protocols.

Teaching
• Bachelor’s: Applied Mathematics (first two semesters)
• Master’s: Applied Statistics (semester 2), Data Mining (semester 3)

Publications
Comprehensive list: Google Scholar
Core research: CSE Papers