Cyber-Physical Systems

Competences

In the Cyber-Physical Systems research department, we focus on the development of advanced integrated systems of software units with mechanical and electronic components, as well as the optimisation of sensor signal processing methods that are used in both software and hardware development. An essential part of our work consists of the conception and realisation of research demonstrators, which illustrate innovative solution approaches in application practice up to industrial suitability. At the same time, we are working on the development of technologies for intelligent IoT devices that are characterised by efficient pre-processing of sensor data. In future, these technologies will be equipped with user-friendly development tools to simplify their use and integration in a wide variety of environments.

Another aspect of our research activity is the capturing of sensor data which is supported by the creation and utilisation of synthetic data. This approach helps us to overcome challenges such as the lack of real data or its limited quality, thereby improving our ability to test and refine systems under diverse conditions.

Our research activities cover a number of key topics:

  • The design and realisation of demonstrators to show the applicability and effectiveness of our research approaches.
  • The development of efficient technologies for the pre-processing of sensor data in intelligent IoT devices.
  • Advances in sensor technology that ensure precise data acquisition and processing.
  • The integration of IoT components to promote connectivity and communication between different devices and systems.
  • The use of edge AI technologies to enable decentralised processing and analysis of data.
  • The development of AI-based methods for analysing sensor data.
  • The optimisation of sensor data pre-processing to improve data quality for subsequent analysis processes.
  • New developments in sensor signal processing through the use of innovative hardware and software solutions.
  • The collection and generation of sensor data, including the use of synthetic data, to enable extensive test and training environments.
  • Applying design skills, particularly in the area of CAD technologies, to develop and optimise the physical components of our systems, further strengthening our ability to create accurate and functional prototypes.

Head of Research Department

Kristof Ueding
Kristof Ueding, M. Sc.
Beschäftigter FB Umweltplanung/Umwelttechnik - FR Informatik

Contact

+49 6782 17-1963

Location

Birkenfeld | Building 9925 | Room 120

Publications

2022
  • Urschel, B., Begic Fazlic, L., Morgen, M., Machhamer, M., Dartmann, G. and K. -U. Gollmer, "A Machine Learning Approach for Optimal Ventilation based on Data from CO2 Sensors," 2022 Sensor Data Fusion: Trends, Solutions, Applications (SDF), 2022, pp. 1-6, doi: 10.1109/SDF55338.2022.9931945.
2019
  • G. Dartmann (Hrsg.), H. Song (Hrsg.) A. Schmeink (Hrsg.). Big Data Analytics for Cyber-Physical Systems. 2019. Paperback ISBN: 9780128166376
  • M. Hauck, R. Machhamer, L. Czenkusch, K. Gollmer, and G. Dartmann. Node and block-based development tools for distributed systems with AI applications. IEEE Access, 7:143109-143119, 2019

Current Projects

Completed Projects

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