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Chair for Technologies and Management of Digital Transformation

Univ. Prof. Dr. Ing. Tobias Meisen

Welcome to the TMDT website


With our research we address digital technologies on the one hand as enablers for digital transformation, on the other hand their interplay with economic, organizational and societal aspects. One key point of our research is the networking with other scientific fields in order to do justice to the interdisciplinary interpretation of the topic. We consider it a central task of modern research to make knowledge accessible and promote its comprehensibility for the general public.

Our current research activities address the following topics:

Industrial Deep Learning
Interpretable Learning Models
Semantic Systems Engineering
User-Centered Acceptance

In-Institute SIKoM

In addition to the technological view, the chair researches the effects of this digital transformation through the Institute for Systems Research in Information, Communication and Media Technology (SIKoM), which is an In-Institute of the School of Electrical, Information and Media Engineering of the University of Wuppertal. The research focus of SIKoM is on the interdisciplinary research on technical, economic and structural aspects of innovation processes, which are influenced by the development of information and communication technologies as well as media technologies. Further information about SIKoM can be found here

TMDT on Social Media

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Demonstrator Showroom

Visit our TMDT showroom, where different demonstrators show our research results in a playful, interactive and engaging way.

Current News

Auftaktveranstaltung IZMD

Wir laden Sie ganz herzlich ein zur Auftaktveranstaltung des Interdisziplinären Zentrums Machine Learning and Data Analytics (IZMD) am 25. März 2019 ab 15 Uhr am Campus Freudenberg der Bergischen Universität [more]

MasterClass und Keynote zu KI in der Produktion

Prof. Meisen und sein Team werden auf der 3. Jahrestagung Machine Learning & Data Analytics in Manufacturing von marcus evans (05.03.19 - 07.03.19) über Themen der künstlichen Intelligenz und des maschinellen Lernens für die... [more]