Contact

Technical University of Munich
School of Computation, Information and Technology
Chair for Design Automation
Prof. Dr. Robert Wille
Arcisstrasse 21
80333 Munich | Germany
robert.wille@tum.de
Tel: +49 89 289 23551

How To Find Us

The Chair for Design Automation is supported by the Bavarian State Ministry for Science and Arts through the Distinguished Professorship Program.

Der Lehrstuhl für Design Automation wird durch das Bayerische Staatsministerium für Wissenschaft und Kunst im Rahmen des Spitzenprofessurenprogramms gefördert.

Bavarian Coat of Arms

Stefan Engels M.Sc.
Stefan Engels M.Sc.
PhD Student

Arcisstrasse 21, 3rd floor, room 3942
Phone: +49 (89) 289 - 23563
stefan.engels@tum.de

Interests

  • Design automation methods for the European Train Control System (ETCS), especially
    • routing under Moving Block systems
    • optimal block layout generation for Hybrid Train Detection systems
  • Mixed integer linear programming
  • Mathematical modeling and optimization

Publications

Conferences

  1. S. Engels and R. Wille. Towards an Optimization Pipeline for the Design of Train Control Systems with Hybrid Train Detection. In Symposium on Algorithmic Approaches for Transportation Modeling, Optimization and Systems (ATMOS). 2024. DOI, PDF.
  1. S. Engels and R. Wille. Comparing Lazy Constraint Selection Strategies in Train Routing with Moving Block Control. In Conference on Computer Science and Intelligence Systems (FedCSIS). 2024. arXiv:2405.18977, DOI, PDF.
  1. S. Engels and R. Wille. Late Breaking Results: Iterative Design Automation for Train Control with Hybrid Train Detection. In Design, Automation and Test in Europe (DATE). 2024. DOI, PDF.
  1. S. Engels, T. Peham, and R. Wille. A Symbolic Design Method for ETCS Hybrid Level 3 at Different Degrees of Accuracy. In Symposium on Algorithmic Approaches for Transportation Modeling, Optimization and Systems (ATMOS). 2023. DOI, PDF.

Preprints

  1. S. Engels, T. Peham, J. Przigoda, N. Przigoda, and R. Wille. Design Tasks and Their Complexity for the European Train Control System with Hybrid Train Detection. 2024. arXiv:2308.02572, PDF.

Personal Data

Name:Stefan Engels
Nationality:German

Education

since 09/2022Doctoral Candidate, Technical University of Munich, Germany
08/2019–09/2022Master's Degree (M.Sc.), Mathematics in Operations Research, Technical University of Munich, Germany
Master's Degree (M.Sc.Eng.), Engineering Physics, KTH Royal Institute of Technology, Stockholm, Sweden
Master’s Thesis: "Approximation Algorithms for the Survivable Network Design Problem with Node Weights"
10/2016–08/2019Bachelors's Degree (B.Sc.), Mathematics, Technical University of Munich, Germany
Bachelor’s Thesis: "An Integer Programming Approach for the Minimal Superpermutations Problem"
until 07/2016High-School, Kaiser-Karls-Gymnasium, Aachen, Germany