Embedded Systems
The Chair for Embedded Systems addresses design, analysis, and verification of distributed embedded systems and systems-on-chip as well as their application in the automotive, avionics, internet of things (IoT) and the medical domain. The trend towards autonomous systems in various application domains accompanied with the increasing demand for safety and security enforces the need for efficient stress tests under varying environmental conditions in order to build robust application-specific hardware/software architectures especially in the case of implementing machine-learning applications on embedded devices.
Embedded software systems
- Analysis of performance, power and energy demand
- Generation of timing/power predictable software
- Verification of hardware/software systems
Architectural design – from system-level to tapeout
- Low-power architectures and power management
- Energy-efficient AI architectures / Embedded AI
- Technology projection & architectural exploration
Modeling and optimization of cyber-physical systems
- Modeling and simulation of environment conditions
- Sensor (Video, Radar) and communication models
- Energy management in electric vehicles and IoT devices
Safety and security architectures
- Robust learning w.r.t. varying environmental conditions
- Fail-operational architectures and safety measures
- Hardware-enhanced security architectures