Günther Eibl

Günther Eibl is a Senior Lecturer and Senior Researcher at the Salzburg University of Applied Sciences, affiliated with the Department Information Technologies and Digitalisation. He serves as Head of Research Group and Deputy Head of the Center for Secure Energy Informatics, combining 50% teaching and 50% research responsibilities.

• Education:
  • MSc in Mathematics (Numerics Thesis)
  • MSc in Physics (Plasma Physics Simulation Thesis)
  • PhD in Machine Learning (Multiclass Boosting Thesis)

Research Interests focus on Privacy in Smart Grids, including:

• Privacy Analyses – Using machine learning and statistics to extract information from load profiles.
• Privacy-Enhancing Technologies (PETs) – Historically focused on homomorphic encryption, masking, differential privacy, and wavelet analysis; current research emphasizes privacy-preserving price calculation and proving privacy properties of protocols.

Scientific Contributions span 15+ years, with recent work (2025–2021) addressing:

• Privacy threat modeling for renewable energy communities
• Smart meter data anonymization
• Blockchain-based secure aggregation
• Game-theoretic privacy proofs
• Differential privacy in load forecasting
• Intrusion detection in power grids

Skills include cryptography, data mining, and energy informatics, with a strong emphasis on visualization and applied statistics. He teaches applied mathematics, applied statistics, and data mining in bachelor and master programs.