CV

Education

• Ph.D on Algorithms for and Application of Optimal Decision Trees, Delft University of Technology, 2026 (expected)
  • Supervisors: Mathijs de Weerdt, Emir Demirović
• M.A. in Theology and Religious Studies, Evangelical Theological Faculty Leuven, ongoing
• M.S. in Computer Science, Delft University of Technology, 2017
  • Specialization: Algorithms
  • Master Thesis: Decision diagrams for decomposed mixed integer linear programs
• B.S. in Computer Science, Delft University of Technology, 2014

Work experience

• Scientific Programmer (2017-2021)
  • Delft University of Technology
  • Project 1: Future proof flexible charging (URSES+)
  • Project 2: Logistics of rostering with the Dutch Railways (NS)
• Student Coach
  • Navigators

Publications

Piecewise Constant and Linear Regression Trees: An Optimal Dynamic Programming Approach

Van den Bos, M., van der Linden, J. G. M., & Demirović, E. (2024). "Piecewise Constant and Linear Regression Trees: An Optimal Dynamic Programming Approach." Proceedings of ICML-24.

Optimal Survival Trees: A Dynamic Programming Approach

Huisman, T., van der Linden, J. G. M., & Demirović, E. (2024). "Optimal Survival Trees: A Dynamic Programming Approach." Proceedings of AAAI-24, 12680-12688.

Necessary and Sufficient Conditions for Optimal Decision Trees Using Dynamic Programming

Van der Linden, J. G. M., de Weerdt, M. M., & Demirović, E. (2023). "Necessary and Sufficient Conditions for Optimal Decision Trees Using Dynamic Programming." Advances in NeurIPS-23, 9173-9212.

Fair and Optimal Decision Trees: A Dynamic Programming Approach

Van der Linden, J. G. M., de Weerdt, M. M., & Demirović, E. (2022). "Fair and Optimal Decision Trees: A Dynamic Programming Approach." Advances in NeurIPS-22, 38899-38911.

TORS: A Train Unit Shunting and Servicing Simulator

Van der Linden, J. G. M., Mulderij, J., Huisman, B., den Ouden, J. W., van den Akker, M., Hoogeveen, H., & de Weerdt, M. M. (2021). "TORS: A Train Unit Shunting and Servicing Simulator." Proceedings of AAMAS-21, 1773-1775.

Benchmarking Flexible Electric Loads Scheduling Algorithms

Van der Linden, K., Romero, N., & de Weerdt, M. M. (2021). "Benchmarking Flexible Electric Loads Scheduling Algorithms." Energies 14(5), 1269.

Stochastic bidding of volume and price in constrained energy and reserve markets

Romero, N., Van der Linden, K., Morales-España, G., & de Weerdt, M., (2021). "Stochastic bidding of volume and price in constrained energy and reserve markets." Electric Power Systems Research 191, 106868.

Train Unit Shunting and Servicing: A Real-Life Application of Multi-Agent Path Finding

Mulderij, J., Huisman, B., Tönissen, D., van der Linden, K., & de Weerdt, M. (2020). "Train Unit Shunting and Servicing: A Real-Life Application of Multi-Agent Path Finding." arXiv preprint, arXiv:2006.10422.

Complexity of Scheduling Charging in the Smart Grid

De Weerdt, M., Albert, M., Conitzer, V., & van der Linden, K. (2018). "Complexity of Scheduling Charging in the Smart Grid." Proceedings of IJCAI-18, 4736-4742.

Optimal Non-Zero Price Bids for EVs in Energy and Reserves Markets using Stochastic Optimization

Van der Linden, K., de Weerdt, M., & Morales-España, G. (2018). "Optimal Non-Zero Price Bids for EVs in Energy and Reserves Markets using Stochastic Optimization." Proceedings of the 15th International Conference on the European Energy Market (EEM).

Decision Diagrams for Decomposed Mixed Integer Linear Programs

Van der Linden, K. (2017). Decision Diagrams for Decomposed Mixed Integer Linear Programs [Master thesis, Delft University of Technology]. TU Delft Research Repository.

Software

STreeD: Separable Trees with Dynamic programming

DPF - Optimal and Fair Decision Trees

cTORS: a Train Unit Shunting and Servicing Simulator

B-FELSA: Benchmarking Flexible Electric Loads Scheduling Algorithms

Teaching

Teaching experience 2

Teaching experience 1