Structure

The Chair of Wireless Systems is a joint professorship with the IHP - Leibniz Institute for Innovative Microelectronics in Frankfurt (Oder).

Prof. Dr. rer. nat. Peter Langendörfer is the head of the Cyber-Physical System Engineering department (formerly Wireless Systems) and also holds the professorship in Wireless Systems.

The department's research agenda is: Enabling a trustworthy, reliable and intelligent cyber physical world. Heading for this vision, we contribute to the state of the art by:

  • Providing a design methodology for resilient, trustworthy, reliable, intelligent cyber physical world systems
  • Researching AI approaches that enable devices/machines to deal with unexpected situations
  • Researching AI means for self-monitoring, self-optimization, self-healing , prediction of future system states
  • Researching multi input cognitive sensors (MICS) to improve e.g. situation awareness, self-monitoring etc.
  • Researching and providing core components for resilient systems i.e. components for decision making, security, redundancy, self healing etc.

The investigations are addressing all application fields in which resource constraint devices are used in a network, these are the Internet of Things (IoT), e-health, Industry 4.0, agriculture 4.0 and environmental monitoring. Thus, energy efficiency, security, reliability and resilience are the core research topics. The group Total Resilience researches questions concerning metrics for resilience, how to test the level of resilience achieved, as well as methodologies for developing resilient CPSoS.

The department consists of three groups as detailed below.

Security & Resilience Engineering
  • Researching methods and tools for designing resilient Cyber-Physical systems
  • Focus on system design methodologies
  • Investigating Bio Inspired System Design Approaches
    • Nature is a very complex system of systems with high resilience
    • Independent learning; diversity to increase resilience; Coordinated re-actions
  • Investigation of metrics for resilience and security to be applicable at design time
  • Investigation and definition of Design Methodology
  • Investigating tools to support the design process including ready to  use components
  • Investigation of learning and decision making mechanisms
  • Researching means for hardening embedded devices against attacks
Intelligent IoT Systems
  • Researching pervasive monitoring, data fusion and decision-making
  • Focus on system design and implementation process
  • Supporting cross- and multi-sector digitalization
  • Creating interoperability of different application scenarios and systems
  • Examining requirements of different application scenarios
  • Investigating the (optimal) distribution of data processing
  • (logic) in different scenarios
  • Application development support through modularity
Proactive Systems
  • Enabling self adaptation/-optimization in IoT/Edge/Cloud
  • Focus on system optimization process at run time
  • Goal: Dynamic optimized resource allocation of networking, computing and storing data in the IoT cloud continuum at run time
  • Proactive networking
  • Proactive computing
  • Proactive storage
  • Artificial intelligence as a means to optimize the use  of all 3 resource types