The DuraFuelCell joint project, funded by the DFG, aims to develop and better understand long-lived, efficient, hydrogen fuel cell systems for mobile and stationary applications. The Future Engineering research group makes an important contribution to this goal by developing an AI-based knowledge database that serves as a central platform for structuring international research activities, promoting knowledge exchange, and optimising research activities in the field of hydrogen fuel cell technology. Contact: Kiara M. Ascencion A.

Automated classification of customer feedback and exploration of publicly available comments and opinions about local public transport using natural language processing. The project enabled the researchers to test methods for machine processing of natural language and analyse their suitability for continuous monitoring of customer feedback. Contact: Philipp Haan

Extraction of consumer insights from online data using NLP for the FIMO product range. During the project period, Future Engineering supported the relaunch of the FIMOair series in autumn 2022 by testing and applying practical research methods from the field of machine language processing. Contact: Philipp Haan

AI-based text analysis for the hydrogen market: Automated assessment of text media using knowledge graphs and ontologies to support the innovation process in fuel cell research and development. A dashboard provides an overview of the hydrogen market. Contact: Kiara M. Ascencion A.

Data-based trend research to hedge investment decisions. Identification of trends through automated collection and analysis of hundreds of thousands of press releases on electromobility. Extensive analysis facilitated by business intelligence tools to enable informed strategic decisions. Contact: Alexander Köhler

The aim of this project is to identify measures that can contribute high-value change in respective supply chain areas, logistics networks, and categories of goods and also have a high potential for acceptance in enterprises. The results will yield politically and economically relevant information related to the development of successful funding and support policies to strengthen sustainable logistics. Contact: Alexander Köhler

The project enables the examination of a large number of contributions published online using automated text analysis procedures to determine the underlying dynamics of customer interests and use cases. The aim is to examine the disposition and attitudes towards the FIMO product - a modelling clay that is a creative and DIY product - of current and potential customers and to answer specific questions about their “thinking”, “feeling”, and “behaviour”. Contact: Alexander Köhler