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Minister gets an overview of AI work and new AI professorships at the University of Bayreuth

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University of Bayreuth, Press release No. 091/2020, 4 May 2020

On Thursday, 4th of June 2020 Bavaria's Minister of Science Bernd Sibler found out first-hand about the activities of the University of Bayreuth in the field of artificial intelligence (AI). "The University of Bayreuth is an important partner in the Bavarian AI research network", said Sibler. In addition to its research into AI to date, Bayreuth will in future also conduct research into AI, and using AI, in the fields of material analysis, energy management, and at the interface of mathematics, computer science, and robotics. This is made possible by the three new AI professorships that the Free State of Bavaria intends to fund at the University of Bayreuth as part of "High-Tech Agenda Bavaria".

Unser Bild zeigt den Bayerischen Wissenschaftsminister Bernd Sibler mit Vertretern der Universität Bayreuth

For the University of Bayreuth, these new professorships are important components in its future strategy in various fields of research. "The cooperation of various faculties on the Bayreuth campus, as well as Upper Franconian and inner-Bavarian cooperations and initiatives reaching out to the private sector, will be consolidated and re-invigorated by the new AI professorships", University President Prof. Dr. Stefan Leible reported to the Minister today, thereby emphasizing the interdisciplinarity inherent to the University of Bayreuth. "As regards content, the three new professorships cover a wide range of theoretically influenced basic research that will push the envelope on the technological application of AI," says Leible.

This was confirmed by the Minister: "Thanks to its broad interdisciplinary research across various disciplines, the University of Bayreuth is set to play a decisive role in shaping progress and innovations in artificial intelligence, a field which will be so important for all of us looking forward. This also means it will provide significant impetus to the economy of the whole region". He sees in the activities of the University of Bayreuth "great potential for research and development activities with established companies, and opportunities for business start-ups in the AI field".

The new professorships at the Universität Bayreuth will be in the following areas:

  • Intelligent Energy Management - fundamentals and applications of AI in electrical energy supply and in (decentralised) energy networks with a large renewable energy component
  • Data-driven dynamic optimization and control, resource-efficient machine learning algorithms, especially for use on mobile devices in dynamic environments and in real-time
  • Physicochemical materials analysis for sustainable materials research; i.e. using AI to analyse the relationships between structures and properties of materials faster, more precisely, and in a more sophisticated way

During his stay at the University of Bayreuth, Prof. Dr.-Ing. Michael Danzer, Chair of Electrical Energy Systems, Prof. Dr. Markus Retsch, Chair of Physical Chemistry I, and Prof. Dr. Anton Schiela, Professor for Applied Mathematics, explained to the Minister in detail the role AI already plays in their respective fields of research, and where they look forward to receiving further impetus from their future colleagues.


… to the AI professorships in Bayreuth: https://www.uni-bayreuth.de/de/universitaet/presse/pressemitteilungen/2020/077-neue-ki-professuren/index.html

… to the AI competition of the State Government: https://www.stmwk.bayern.de/pressemitteilung/11941/nr-119-vom-15-05-2020.html 


Prof. Dr. Torsten Eymann
Vice-President for Digitalization & Innovation at the University of Bayreuth
Chair of Information Systems Management
University of Bayreuth
Phone: +49 (0) 921 / 55-7660
E-mail: torsten.eymann@uni-bayreuth.de

Editorial office:

Anja-Maria Meister
Press & PR Manager
University of Bayreuth
Phone: +49 (0)921 / 55-5300
E-Mail: anja.meister@uni-bayreuth.de


Ralph Reindler​

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