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Lehrstuhl für Technologien und Management der Digitalen Transformation


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

The digital transformation essentially pursues the goal of no longer using the resource of "digital information" only for controlling and planning, but rather to develop it as a value-adding resource inside and outside of a company and to implement it sustainably. Data science is considered one of the central enablers of digital transformation and has received a great deal of attention in recent years and months.

The focus of our research is on researching and developing methods, processes and systems of data science so that they can be transformed successfully into industrial applications. We address basic research as well as applied and industrial research. We follow a holistic approach, which not only investigates questions regarding the technical implementation and feasibility of data-centered methods and applications in industry, but also their sustainable and economic implementation and usage.

The focus of the chair is based on this approach and can be divided into the areas of data acquisition and management, modelling, transparency, communication and visualisation. The topics are flanked by organizational and socio-economic considerations. The areas of application range from production and design to mobility and logistics.

The following figure summarizes our main research topics.