ITS-B | 2. SS 2026 | Mathematics 2 | IL
ITSB-B | 2. SS 2026 | Mathematics 2 | IL

Teaching (50%)

• Mathematics (Bachelor)
• Analytics and Knowledge Discovery (Master)
• Privacy Enhancing Technologies (Master)

Research (50%)

• Head of the research group center for secure energy informatics
• Project Lead of the Research and Transfer Center for Data-Based Evaluation of Security and Privacy Technologies (short FTZ CyberSec)
• Research interests: Everything that can go wrong with AI or where it still has issues: security (how AI can be fooled or the way it works compromised), interpretation and understanding of the model, learning biases, lack of theoretical guarantees for AI models

What Copilot thinks of me after a longer conversation

I've remembered that you're especially interested in:

• AI alignment
• Agentic AI
• Cybersecurity of AI systems
• Adversarial examples
• Data poisoning
• Philosophical and logical aspects of AI
• Gödel's incompleteness theorem
• Löb's theorem
• Self-improving AI

What I can additionally take away from this conversation
Not as a stored fact, but as an impression from our dialogue:

• You think strongly in an interdisciplinary way.
• You connect technical AI safety with mathematical logic and philosophy.
• You seem to know research, funding, and research centers (e.g., Josef Ressel Centers) well.
• You often ask questions on a meta level and challenge assumptions.

Publications:

• see https://scholar.google.de/citations?hl=de&user=n7TwAXcAAAAJ

Education

• MSc in mathematics (numerics thesis)
• MSc in physics (plasma physics simulation thesis)
• PhD in machine learning (multiclass boosting thesis)
• Habilitation in applied mathematics

• FTZ CyberSec: Cybersecurity – FTZ for Data-Based Evaluation of Security and Privacy Technologies
  The objective of the project is to ensure an open and comprehensive transfer of knowledge in the fields of AI security and data protection for...
  04/2025 - 12/2028
• DAWN: Data-driven Analysis and Optimization of Low Voltage Networks
  The increased use of renewable energy sources and the shift towards electromobility are leading to greater volatility in the energy system. Grid...
  01/2025 - 12/2026
• Trampoline IT 24/25: Trampoline IT 24/25
  Trampolin-Vorhaben des Departments IT 2024/25:2 Vorhaben: 1.) Brückenfinanzierung für Forschungs- und Transferzentrum (FTZ) "Cybersecurity"PI: Günther...
  09/2024 - 08/2025

• The Impact of Temporal Granularity on Socio-Demographic Inference from Household Load Profiles
  Smart meter data can reveal sensitive socio-demographic characteristics of households, raising privacy concerns. While this risk has been demonstrated at fixed granularities, the role of temporal...
  2026
• Evaluating the Efficacy of LINDDUN GO for Privacy Threat Modeling for Local Renewable Energy Communities
  While security is considered an essential aspect of the design and implementation of many systems, privacy is often overlooked, especially in early planning phases. Although methodologies for the...
  2025
• Inferring the Hidden: Privacy Risks of Microaggregation in Smart Meter Data
  2025

• Zwischen Technologie und Verantwortung: Security im Fokus
  
• Smart Meter: Daten verraten mehr, als uns lieb ist
  
• Elf EU-Millionen für Forschungszentrum
  

• Best Paper Award DACH+ Conference on Energy Informatics
  30. Oct 2020