Lisa Grewenig

Lisa Grewenig is a researcher at the Experience-Based Learning Systems department of Trier University, focusing on hybrid reasoning systems that combine machine learning and knowledge graphs. Her work addresses knowledge-intensive processes in critical domains like emergency response.

• Trier University PhD graduate (2023)
• Collaborates with DFKI (German Research Center for Artificial Intelligence)

Research interests center on:

• Emergency call processing optimization
• Constraint-based workflow systems
• Case-based reasoning
• Knowledge graph integration
• Hybrid AI architectures

Recent publications (2023-2025) demonstrate expertise in:

• Building hybrid reasoning frameworks
• Emergency response system design
• Context-aware process optimization
• Knowledge-intensive workflow modeling
• Real-time decision support
• ML-KB system integration