About
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
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