Location & approach

via car

The campus of TU Dortmund University is located near the freeway junction Dortmund West, where the Sauerland line A45 crosses the Ruhr expressway B1/A40. The Dortmund-Eichlinghofen exit on the A45 leads to the South Campus, the Dortmund-Dorstfeld exit on the A40 leads to the North Campus. The university is signposted at both exits. It is best to park in the large parking lot on Otto-Hahn-Straße.

via train and bus

The "Dortmund Universität" S-Bahn station is located directly on the North Campus. From there, the S-Bahn line S1 runs every 15 or 30 minutes to Dortmund main station and in the opposite direction to Düsseldorf main station via Bochum, Essen, and Duisburg. In addition, the university can be reached by bus lines 445, 447, and 462. Timetable information can be found on the homepage of the Verkehrsverbund Rhein-Ruhr, and DSW21 also offer an interactive route network map.

via H-Bahn

One of the landmarks of the TU Dortmund University is the H-Bahn. Line 1 runs every 10 minutes between Dortmund Eichlinghofen and the Technology Center via Campus South and Dortmund University S, while Line 2 commutes every 5 minutes between Campus North and Campus South. It covers this distance in two minutes.

via airplane

From Dortmund Airport, the AirportExpress takes just over 20 minutes to Dortmund Central Station and from there to the university by S-Bahn. A wider range of international flight connections is offered by Düsseldorf Airport, about 60 kilometers away, which can be reached directly by S-Bahn from the university's train station.

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Contrast Deutsch

Maximilian Nebel

Areas of responsibility

Undergraduate project (EC) "Process Automation"
Project group: "Artificial intelligence in logistics"
Exercise: "Operational information systems"

Current topics for theses

Background

Bachelor of Science in Information Systems (Wirtschaftsinformatik), Osnabrück University
Master of Science in Information Systems (Wirtschaftsinformatik), Osnabrück University
Research associate at the Chair of Enterprise Computing since 15.08.2022

Research Interests

Business Process Management
Industry 4.0
Machine Learning
Streaming Analytics