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Lehrstuhl für Technologien und Management der Digitalen Transformation

Herr Univ.-Prof. Dr.-Ing. Tobias Meisen

Funded research projects

AlphaMES: KI-based production planning for small batch production in the aerospace industry using reinforcement Learning

The project enhances the digital transformation in the production environments of the aviation industry with small batch sizes. The aim is to reduce the control and planning efforts in production in a sustainable manner. For this purpose, state-of-the-art algorithms and techniques from the field of deep reinforcement learning are used, in which intelligent agents learn independently to develop the best approach for a defined planning goal.

You can find further information here.

Bergisch.Smart:AI-based Traffic Management and Cooperative Digital Map Services

Our chair is researching the implementation of an innovative data marketplace which enables cities, companies and citizens to provide and analyze static and real-time data. For this purpose, we use state-of-the-art technologies such as Knowledge Graphs and Deep Learning.

You can find further information here

Bergisch.Smart:Rethinking Mobility

In this project, we enable citizens to directly become producers of products and services of a modern smart city by creating the basic technological structure and by providing the necessary expertise. To do this, the project will organize various activities such as challenges and hackathons in order to challenge the creativity of the local civilian population.

You can find further information here.

DIVABRE - Digital Valley Bergisch Region

The aim of the project is to develop a platform for networking between students and regional companies in the Bergisches Land region. On this platform, companies are given the opportunity to provide their own data science problems in defined challenges which will be solved by students. The TMDT supports the conception of the challenges as well as the evaluation of the produced results in cooperation with partners from the universit.

You can find further information here.

KGBDM: Knowledge Graph-based Data MAnagement Platfrom

In this project we develop a data marketplace which allows connecting, finding, accessing and understanding of batch and streaming data. Our marketplace enables users to process, query, subscribe and share heterogeneous data sources without considering the data model. For this purpose, a novel, dynamic, self-learning knowledge graph is developed, which is built from scratch by artificial intelligence and interactions with the user of the platform, continuously evolving and adapting to its environment.

You can find further information here.

Applied R&D projects

Applied R&D projects in close cooperation with industrial companies

You can find further information here.


Project archive

Completed research projects of the chair.

Further information can be found here.