Sebastian Merten
- Explainability and Interpretability in Optimization
- The Intersections of Optimization and Machine Learning
- Optimization under Uncertainty
Publications:
- M. Goerigk, M. Hartisch, S. Merten, K. Sharma. Feature-Based Interpretable Surrogates for Optimization, To appear in Annals of Operations Research. [preprint]
- M. Goerigk, M. Hartisch, S. Merten. Towards Robust Interpretable Surrogates for Optimization. [preprint]
- M. Goerigk, M. Hartisch, S. Merten, A. Miehlich. Chicago Graph and Travel Time Data. [Dataset] https://zenodo.org/records/15267992
Presentations:
- 01/2026 GPOM Workshop, Ingolstadt
- 10/2025 EUROYoung Workshop, Naples
- 09/2025 International Workshop on Explainability and Interpretability in Optimization, Nuremberg
- 09/2025 International Conference on Operations Research – OR25, Bielefeld
- 06/2025 Learning and Intelligent Optimization Conference – LION19, Prague (Poster)
- 09/2024 International Conference on Operations Research – OR 2024, Munich
- 07/2024 GPOM Workshop, Munich
- 07/2024 European Conference on Operational Research – EURO 2024, Copenhagen
- 03/2024 Business Analytics Seminar, University of Amsterdam, Amsterdam
- 08/2023 International Conference on Operations Research – OR 2023, Hamburg
Summer Semester:
- Decision Making Under Uncertainty (Exercise)
- Combinatorial Optimization (Exercise)
Winter Semester:
- Artifical Intelligence and Optimization (Exercise)
- Data and Decisions (Exercise)
- Supply Chain and Operations Management (Exercise)
- Bachelorseminar in Business Analytics
- since 04/23
PhD Student/ Research Assistant, University of Passau - 03/23
M.Sc. Business Analytics, University of Siegen - 03/21
B.Sc. Business Administration, University of Siegen
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