معرفی
Christoph Düsing is a researcher at the Semantic Databases Group within the Faculty of Engineering at Universität Bielefeld. He also contributes to the Center for Cognitive Interaction Technology (CITEC) and provides academic advising for the Master Data Science program at the Faculty of Business Administration and Economics.
Research Interests:
- Federated Learning and distributed AI systems
- Explainable AI (XAI) for clinical applications
- Clinical Decision Support Systems for sepsis treatment
- Graph Neural Networks for social influence modeling
- Data imbalance and client contribution analysis in collaborative AI
- Impact of AI on labor market dynamics
Recent Publications focus on federated learning applications in healthcare, explainability mechanisms, and graph-based AI solutions. Key themes include sepsis management, antibiotic therapy optimization, and social commerce platform analysis.
Labs & Collaborations:
- Semantic Databases Group, Faculty of Engineering
- Center for Cognitive Interaction Technology (CITEC)
- Interdisciplinary projects with healthcare institutions
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