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

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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Research

Research article in the journal Computers & Industrial Engineering

06/11/2025 -

in

News

Our paper successfully published in Computers & Industrial Engineering.

We are pleased that we were able to successfully publish our paper entitled "AI-based real-time anomaly detection in industrial engineering: A structured literature review, taxonomy, and research agenda" in the journal "Computers & Industrial Engineering".

As part of the research of Dr. Philip Stahmann, Maximilian Nebel and Prof. Dr. Christian Janiesch, a structured literature review on real-time anomaly detection was conducted. The analysis of 90 publications from different disciplines resulted in a taxonomy with 13 dimensions and 42 features, which is useful for both practice and science. The aim was to systematize scattered findings and further develop theoretical and practical approaches. In addition, three key research priorities were identified for the future development of the field in order to better structure decision alternatives for anomaly detection systems and facilitate their implementation.

The article is publicly available: https: //doi.org/10.1016/j.cie.2025.111236

The journal Computers & Industrial Engineering is one of the leading journals with an interface to business informatics (VHB: B). The journal focuses on the socio-technical aspects of the use of technology in industrial applications. We would like to thank the reviewers for the opportunity to share our results.