Improving Industrial Design Processes With AI
09/02/2025The European Union is investing 3.7 million euros in a doctoral network that includes Professor Ingo Scholtes from Würzburg. Research is being conducted into the use of AI in industrial design processes.
How can artificial intelligence technologies be optimally utilised in industrial design processes? How can they be integrated into development teams? This is the focus of a new European doctoral network in which AI expert Professor Ingo Scholtes from the University of Würzburg is involved.
The European Union is funding the network with 3.7 million euros over four years, of which 272,000 euros will go to the University of Würzburg. The money will benefit doctoral students: it comes from a funding line with which the EU supports programmes for the structured training of doctoral students. Universities, research institutions and companies from various countries work together in the networks.
Using AI For Team Management
Ingo Scholtes' group is investigating how AI can optimally support teams in software development. "In addition to the automated generation of code, we are particularly looking at the extent to which AI can help with the optimal composition and management of teams," says the professor. DATEV eG, with whom Scholtes is also cooperating on other projects, is also on board. The Nuremberg-based company is supporting the new project as an associated partner.
Ingo Scholtes heads the Chair of Machine Learning for Complex Networks at the Würzburg Institute of Computer Science. His team is part of CAIDAS, the Centre for Artificial Intelligence and Data Science, which is funded as part of the High-Tech Agenda of the Free State of Bavaria.
The Partners in the Doctoral Network
Seven partners from Germany, Finland, the UK, the Netherlands and Switzerland are involved in the new "Generative AI for Industrial Design Engineering" (GenAIDE) doctoral network. It starts in October 2025 and runs until 2029.
The partners are:
- Honda Research Institute Europe GmbH (coordinator), Germany
- University of Würzburg, Germany
- Altair Engineering, Germany
- University of Jyvaskylan, Finland
- University of Manchester, Great Britain
- Leiden University, Netherlands
- IDIAP Research Institute, Switzerland
Contact
Prof Dr Ingo Scholtes, CAIDAS Chair of Computer Science (Machine Learning for Complex Networks), University of Würzburg, ingo.scholtes@uni-wuerzburg.de
Website of the chair
