Chief Officers

Director AI production network
Mechanical Engineering

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Dr. Juliane Gottmann
Wissenschaftliche Geschäftsführerin
KI-Produktionsnetzwerk Augsburg

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Vice-President for Educational Success - Teaching and Studies
University of Augsburg

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MEMBERS OF THE BOARD OF DIRECTORS

Chair holder
Hybrid Composite Materials

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Professor
Software Methodologies for Distributed Systems

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Professor
Applied Analysis

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Director
Institute for Software & Systems Engineering

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EDUCATION AND FURTHER TRAINING

Leitung Geschäftsbereich MINT_Bildung, MINT_Managerin MINT Region A3, Leitung DLR_School_Lab Uni Augsburg
MINT_Bildung

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MINT-Outreach, ConQuMat (TRR360) & KI-Produktionsnetzwerk Universität Augsburg
MINT_Bildung

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KI-Produktionsnetzwerk Universität Augsburg
MINT_Bildung

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Benjamin Mößbauer
KI-Produktionsnetzwerk Universität Augsburg
MINT_Bildung

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Interdisciplinary Modelling

Research Associate
Computational Mathematics

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AI scouting/spin-offs & Contact for Industry

Tobias Seemiller
Leitung Ausgründungen und KI Scouting
KI-Produktionsnetzwerk Augsburg

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Stephan Schlüter
Wissenschaftlicher Mitarbeiter, Kontakt für Firmen
KI-Produktionsnetzwerk Augsburg

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Joint research infrastructure

Deputy group leader "Processes"
Hybrid Composite Materials

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Dr.-Ing. Nils Mandischer
Wissenschaftlicher Mitarbeiter
Lehrstuhl für Mechatronik

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Research Focus

Dr.-Ing. Matthias Merzkirch
Lernende Fertigungsprozesse & Closed-Loop Produktion
KI-Produktionsnetzwerk Augsburg

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Dipl.-Ing. Andreas Hofmann
Digitale Zwillinge für Produkt, Werkstoff, Prozess und Produktionsnetzwerk
KI-Produktionsnetzwerk Augsburg

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Silvan Mertes M. Sc.
Human Centered Production Technologies
KI-Produktionsnetzwerk Augsburg

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Dr. Oliver Kosak
Selbstorganisierende Prozessroutenplanung
KI-Produktionsnetzwerk Augsburg

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Hybrid Composite Materials
KI-Produktionsnetzwerk Augsburg

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Group leader "Digital CMC"
Materials Engineering
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Participating Institutions of the University of Augsburg

Institute of Mathematics

The Institute of Mathematics develops and improves models to describe industrial processes using new algorithms and machine learning.

Institute of Materials Resource Management

Using AI to utilise the potential of new sustainable materials and to intelligently monitor processes - these are the solutions the Institute of Materials Resource Management is working on.

Institute of Computer Science

The Institute of Computer Science is dedicated to improving digital twins and creating human-centred workplaces for the digitalised world of Industry 4.0.

Institute for Software & Systems Engineering

The Institute for Software and Systems Engineering develops artificial intelligence methods for the self-organisation of highly automated systems.

Application Center for Materials and Environmental Research

With its many years of experience in knowledge transfer, the Application Center for Materials and Environmental Research makes the university's know-how available to society and industry as a whole.

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