Research College: AI-based Self-Adaptive Cyber-Physical Process Systems

Modern information and communication technologies enable a complex interaction of physical components and intelligent software systems by means of an integrating data infrastructure. Such ecosystems, often referred to as cyber-physical systems (CPS), are characterised by a high level of complexity and dynamics due to their great heterogeneity of different Internet of Things (IoT) devices, the diversity of processes and the environmental factors acting on them.

In the context of classic CPS, only isolated, individual IoT-devices and their data networking are currently being considered. In contrast, research on integration into a larger process context as well as process design taking into account the resulting new possibilities is still in its infancy. The key question of this research college is therefore: How can IoT-based overall systems be systematically realised using artificial intelligence (AI) in such a way that - in complex application scenarios - they enable sustainable and adaptive processes involving a wide range of machine and human actors? To this end, we are developing and researching "AI-based Self-Adaptive Cyber-Physical Process Systems (AI-CPPS)", which, as an extension to classic CPS, focus on the adaptive integration of complex procedural processes. AI has the potential to address the great heterogeneity and dynamic complexity of such systems. AI-CPPS thus become self-learning and resilient and can thus continuously improve with regard to their benefit for humans as well as their sustainable operation.

Funding and cooperative research framework

In the cooperative research college, scientists from the Department of Computer Science and Business Information Systems at the University of Trier and the Trier University of Applied Sciences (Institutes for Software Systems and for Technology Management) work together on an interdisciplinary basis. With initially eleven jointly supervised doctoral students, scientific results with a high level of innovation and high potential for application are to be generated. The research college is funded by the Ministry of Science and Health of Rhineland-Palatinate.

Research team of the University of Trier

  • Prof. Dr. Ralph Bergmann
  • Prof. Dr. Ingo J. Timm
  • apl. Prof. Dr. Axel Kalenborn
  • Jun.-Prof. Dr. Benjamin Weyers
  • Lisa Grumbach, M.Sc.
  • Lukas Malburg, M.Sc.
  • Maximilian Hoffmann, M.Sc.
  • Felix Theusch, M.Sc.
  • Stephanie Rodermund, M.Sc.
  • Christian Lohr, M.Sc.