My research covers the development of theory and algorithms for optimization and machine learning models and their applications.
Most of my projects fall within the following areas and their intersections:
Robust
Optimization
Bilevel
Optimization
Machine
Learning
Explainable
Optimization
Integer
Optimization
Operations
Research
Feb. 2026
Our paper on counterfactual explanations for linear optimization problems is part of the EJOR Editors’ Choice Articles of January 2026.
Nov 2025
I will give an invited keynote talk at the CWI Workshop on Learned methods for operations research on deep learning enhanced methods for robust and bilevel optimization.
Oct 2025
I presented our works on explainability for integer optimization problems at the EURO Online Seminar Series on Operations Research and Machine Learning.
Sep. 2025
Our Explainable Optimization webpage is online! If you want your publication, event or software package to be added please contact us on www.exporg.org.
Sep. 2025
Season 6 of the Robust Optimization Webinar is starting on Friday, September 5, with our first speaker Alexander Shapiro.
Aug. 2025
We are organizing the International Workshop on Explainability and Interpretability in Optimization which takes place in September 2025 at Energie Campus Nuremberg
Kurtz, J. | Mathematical Programming | 2026
Kurtz, J., Birbil, Ş. İ., & den Hertog, D. | European Journal of Operational Research, 329(1), 24-41 | 2025
Kurtz, J. | SIAM Journal on Optimization, 34(2), 2121-2149 | 2024
Dumouchelle, J., Julien, E., Kurtz, J., & Khalil, E. B. | In Proceedings of the 38th International Conference on Neural Information Processing Systems (pp. 86688-86719). | 2024
Dumouchelle, J., Julien, E., Kurtz, J., & Khalil, E. B. | The Twelfth International Conference on Learning Representations | 2024
Goerigk, M., & Kurtz, J. | Computers & Operations Research, 151, 106087 | 2023
Buchheim, C., & Kurtz, J. | Mathematical Programming, 163(1), 1-23 | 2017
© 2025 Jannis Kurtz