Christoph Wehner

Christoph Wehner is a doctoral candidate and Research Assistant at the Faculty of Information Systems and Applied Computer Sciences, Otto-Friedrich-Universität Bamberg. He works in the Cognitive Systems Group on interactive and interpretable machine learning methods applied to knowledge graphs.

• PhD research focuses on integrating human knowledge and preferences into AI systems
• Active in industrial AI applications for manufacturing and automotive sectors
• Specializes in reinforcement learning with rule-based expert feedback

His work combines knowledge graphs with explainable AI techniques to solve real-world problems in root cause analysis and failure mode detection.

Current research trends include:

• Developing hybrid human-AI systems for link prediction
• Creating interpretable structures from knowledge graph embeddings
• Applying causal discovery algorithms to industrial processes

Thesis advising focuses on practical implementations of knowledge graph-based AI systems in production environments.