Forschung

Forschungs- und Interessengebiete

• Including Humans in Algorithmic Decision Support
• (Behavioral) Operations Management
• Healthcare Operations
• Mathematical Optimisation

Publikationen

• D. Walzner, L. M. Poreschack, A. Fügener, S. Schiffels & C. Denz (2023): Division of Labor between Humans and Algorithms in Healthcare: The Case of Surgery Duration Predictions. ICIS 2023 Proceedings, 9.
• T. Gattermann-Itschert, L. M. Poreschack & U. W. Thonemann (2023): Using Machine Learning to Include Planners’ Preferences in Railway Crew Scheduling Optimization. Transportation Science, 57(3), 796-812.

Präsentationen bei Tagungen und Workshops

• Division of Labor between Humans and Algorithms in Healthcare: The Case of Surgery Duration Predictions (ICIS, Hyderabad, India, 12/2023)
• The Value of Task Segmentation in Human-AI Collaboration: The Case of Surgery Duration Predictions (CEMS Conference, Riezlern, Austria, 01/2023)
• Präferenzen in der Lokführereinsatzplanung (Supply Chain Analytics Afternoon, Cologne, Germany, 10/2022)
• Planners’ Preferences in Crew Scheduling Optimization (CEMS Conference, online, 01/2022)
• Using Machine Learning to Include Planners’ Preferences in Crew Scheduling Optimization (OR Conference, online, 08/2021)

Lehre

• Mastervorlesung Supply Chain Analytics II
• Mastervorlesung Supply Chain Operations
• Betreuung von Bachelorarbeiten

CV