Torben Schürenberg
Research Assistant Research Training Group π3, WG Discrete OptimizationInformation: Email ends with @uni-bremen.de
Conferences:
- FRICO 23 "Best talk award" in Eindhoven
- Methods Week in Statistics: “Interpretable Machine Learning”
- 13th Day(s) on Computational Game Theory 2023 in Amsterdam
- 12th Day(s) on Computational Game Theory 2022 in Bremen
Teaching:
- 2023: Teacher for "Higher Mathematics" for HERE AHEAD Bremen.
- 2023: Tutor for "OMB+ Brückenkurs in mathematics" for HERE AHEAD Bremen
- SS 2023: Support during the lecture Graph theory
- WS 2022-2023: Support during the lecture Algorithmic Game Theory
About me
I am a Ph.D. student in the Discrete Optimization group under Prof. Dr. Daniel Schmand at the University of Bremen since late 2022.Research Interests
Today’s world is more interconnected than it has ever been. Control of both digital, as well as physical traffic, and optimization of the underlying infrastructure is of central importance. Mathematical models for these infrastructures play a huge role in the optimization tasks. Solution concepts have to include strategic behavior of users and should cover additional mathematical properties. I aim for the development of realistic mathematical models for congested systems especially the identification of meaningful parameters for the users’ objective functions that highly influence the arising stable solutions. I am interested in both the techniques for the efficient calculation of solutions and the optimization of the infrastructure itself.Courses (Selection)
- Übungen Algorithmic Game Theory (Wintersemester 2022/2023)
- Übungen Mathematik 1b für Produktionstechniker und Wirtschaftsingenieure (Sommersemester 2016)
- Übungen Mathematik 1a für Produktionstechniker und Wirtschaftsingenieure (Wintersemester 2015/2016)
Publications (Selection)
- T. Schürenberg, S. Feldmann.
On the Min-Max Star Partitioning Number.
Algorithmics of Wireless Networks, 05.09.-06.09.2024, London, UK.
15026, 15026:61-75, Springer Verlag, 2024.DOI: 10.1007/978-3-031-74580-5_5
online at: https://link.springer.com/chapter/10.1007/978-3-031-74580-5_5