Project overview

The ExperiMINTBus is a mobile STEM lab that translates current research into interactive experiments, AR/VR activities, and exhibits.

Dr. Jonas Kuckling researches the development of software for robot swarms, e.g. using imitation learning. He studied computer science at the University of Paderborn and completed his doctorate at the Université Libre in Brussels. He has been a postdoctoral researcher at the University of Konstanz since April 2023.

Prof. Dr. Karim Zantout of Karlsruhe University of Applied Sciences is researching scenarios for extreme climate impacts, such as droughts, floods, and tropical cyclones. Big data methods will also be used to examine the geographical and temporal patterns of these climate impacts.

The FEATHER project enables companies to train robotic systems with embodied AI through federated learning - directly on site and without passing on sensitive data. This creates new robotic capabilities for complex industrial applications.

The Ultrasens-Vir project is researching new methods for the diagnosis of viral diseases. The aim is to develop a new diagnostic method based on the application of fluorescent nanodiamonds.

As part of the funding, a practice-oriented lead publication for transfer ecosystems in Germany is being produced with a focus on promoting academic spin-offs along the transfer funnel. A particular focus is on the use of Agentic AI.

The project is researching the development of hearing implants. The surface properties of a tympanic membrane lens are to be optimized for this purpose. To this end, a material platform is to be developed that will make it possible to adapt the surface properties in a targeted manner.

Dr. Isabell Wochner conducts research in the field of predictive simulations, machine learning and biomechanics. She holds a doctorate in biomechanics and biorobotics from the University of Stuttgart and was then a postdoctoral researcher at the University of Heidelberg.

Prof. Denise Welsch, Professor of Bioinformatics at Koblenz University of Applied Sciences, is researching automatic gene prediction. Using a new AI model, gene structures can be predicted from DNA sequences of related species without time-consuming comparisons.

Researchers at RPTU are working on the development of a genetically encoded quantum sensor to monitor disease processes in living cells for the first time without being influenced by the measurement method.