Organiser

Dr. Konrad Wieland

Dr. Konrad Wieland studied business informatics at the TU Vienna until 2008, followed by his PhD at the “Institute of Software Technology and Interactive Systems” on team-based development of models. He has published numerous articles together with SparxSystems and LieberLieber.

In 2012 he moved to LieberLieber and initially worked as a consultant for numerous companies in the automotive and defense industries in the area of model-driven software and system engineering.

As head of product management since 2016, he used this valuable experience to successfully establish LieberLieber standard products on the market.

Since the beginning of 2020 Konrad Wieland is CEO of LieberLieber.

He lives with his family in Vienna, Austria.

Prof. Dr. Manuel Wimmer

Manuel Wimmer is Full Professor and Head of the Department of Business Informatics – Software Engineering at JKU Linz, Austria. Since 2019, he is also the Program Director of the Business Informatics master study at JKU Linz.

He received his Ph.D. and his Habilitation from TU Wien. He has been a research associate at the University of Malaga, Spain, a visiting professor at the University of Marburg, Germany as well as at TU Munich, Germany, and an assistant professor at the Business Informatics Group (BIG), TU Wien, Austria.

Currently, he is also leading the Christian Doppler Laboratory on Model-Integrated Smart Production (CDL-MINT) which is running from 2017 to 2023. In this context, he is developing modeling approaches for smart production facilities, as well as techniques for the continuous evolution of such systems based on production information gathered and analyzed at runtime through digital twins. He is the JKU Linz representative in the AutomationML society. He is co-author of the book Model-driven Software Engineering in Practice (Morgan & Claypool, 2nd edition, 2017).

For a list of scientific publications see the entries in DBLP and Google Scholar.

Manuel Wimmer is currently involved in the organization of the following scientific events: