The research of the Cyber-Physical System Engineering department addresses the challenges that arise from increasingly complex systems, e.g. through autonomously acting devices, increasing threats in the area of cyber security, and growing demands for privacy protection.
The research is conducted at the highest international level in the following areas:
- Investigation and provision of a design methodology for resilient, trustworthy, reliable and intelligent cyber-physical systems
- Research into AI concepts that enable devices/machines to deal with unexpected situations
- Research into AI-based approaches for self-monitoring, self-optimization, self-healing and prediction of future system states
- Research into multi-input cognitive sensors (MICS) to improve, for example, situational awareness, self-monitoring, etc.
- Research and provision of core components for resilient systems, i.e. components for decision making, security, redundancy, self-healing, etc.
The three working groups of the department, Security & Resilience Engineering (SRE), Intelligent IoT Systems (IIoT) and Proactive Computing (PC), respectively address different phases in the life cycle of cyber-physical systems.
Technical Competencies
- application engineering for context sensitive wireless applications including security and privacy
- distributed systems knowledge for the design and development of middleware components
- local and body-area wireless networking
- elastic computing
- protocol sesign & in network processing
- middleware
- hardware security
- artificial intelligence
- resilience: metrics, specific solutions and design methodologies
Technical Basis
Equipment: Langer IC-Scanner + Set of EM-samples for detection as well ass EM-pulse generation, Riscure Laser Station + 3 Diode laser (Red Single mode, Red Multimode, IR Multimode); Riscure Software (Inspector FI, Inspector SCA), own analysis software; own ECC VLSI Designs, Highend Oszilloscope & Spektrum Analyzer