Supervision of multiple Theses in the field of Operations Research and Machine Learning, mainly focusing on scheduling problems. Methods include genetic programming, reinforcement learning, and constraint programming

List off Master Theses

• Brendstrup, M.: Online Scheduling via Priority Functions with State-dependent Weights. 2024
• Cheng, C.: Online Lot Scheduling with Order Aggregation. 2024
• Boe Krogh, H.: Deep Reinforcement Learning in Production Scheduling. 2023
• Zlatanov, V. : Reinforcement Learning for Multi-Echelon Inventory Management.2023

List off Bachelor Theses

• Hellwig, L.: Enhancing Interpretability in Constraint Programming: Introducing a Lower Bound for a Flexible Flow Shop Scheduling Problem with Sequence-Dependent Setup Times. 2023