Lab profile
The Dorothea Wagner Lab
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This page was put together from public sources so that students can find the group. Nobody from the lab is reading applications here.
You can still register your interest. We will contact Dorothea Wagner to tell them a student is waiting, and email you as soon as they respond — or if they do not.
You can still register your interest. We will contact Dorothea Wagner to tell them a student is waiting, and email you as soon as they respond — or if they do not.
About the lab
Graph algorithms, route planning, network optimization, and algorithm engineering
Dorothea Wagner’s lab studies algorithms and data structures for complex networks, with a strong focus on graph theory, shortest paths, route planning, and network optimization. The research asks how to compute fast and reliable solutions for large real-world systems such as transportation networks, ride sharing, battery-electric vehicles, public transit, and technical infrastructure like transmission grids and VLSI circuits. A major theme is designing exact or provably efficient algorithms that scale to very large graphs while remaining practical enough for real applications. The group also works on dynamic and time-dependent problems, where networks change over time and the algorithm must adapt efficiently. Students in the lab can expect a mix of theory, algorithm engineering, and experimental evaluation on realistic datasets. This is a good fit for students who enjoy discrete mathematics, optimization, and building elegant methods for transportation, logistics, and network analysis problems.