This CoC brings together faculty members and researchers with expertise on different aspects of embedded and cyber-physical systems design, and with experience from different application domains. The goal is to create a common umbrella and portal for the various ongoing research and teaching activities at TUM in the area of embedded and cyber-physical systems (CPS). This CoC is also a multidisciplinary effort to advance the state-of-the-art in CPS and embedded systems and addresses key societal challenges in the areas of healthcare, transportation systems, energy and environment. It serves as a platform for new teaching initiatives and large research projects, and also acts as a bridge between the activities within TUM and those at the industry and other universities and research institutes.
A key asset of this CoC is its proven ability to mix-and-match the individual competences of the CoC members in leading edge scientific research and in leveraging their multi-year experience in industry cooperation. This combination is not only helpful for addressing the technological challenges and problems arising in the space of embedded and cyber-physical systems, but also in identifying new directions for interdisciplinary scientific research. Broadly, the competence areas include:
- Application-specific multi-core processor and reconfigurable computing architectures
- Model-based design and synthesis of hardware and software platform
- Co-design of control, computation and communication under resource constraints
- Methods for ensuring real-time performance, security, reliability and energy-efficiency
- CMOS and nanotechnology-based sensors and devices, autonomous sensor networks and sensor-based systems
On the application side, this CoC has competences in the areas of automotive systems and software, medical devices including sensor networks for health monitoring, real-time and embedded multimedia systems, home and building automation systems, and high-performance embedded control systems.
Chair of Security in Information Technology (Prof. Sigl)
- Automotive embedded systems
- Embedded control systems
- Control in networked cyber-physical systems
- Advanced automotive driver assistance systems
- Model-based design of embedded hardware & software systems
- Designing multicore systems and software
- Reconfigurable computing
- Embedded network processing and communication
- Security in embedded systems
- Technologies for energy storage systems
- Electro-mobility and electric vehicles
- Sensor technology using CNTs and other nanomaterials
- Human machine interaction
- Approximate computing
- Hardware based machine learning
- DFG Priority Program 1500 on Dependable Embedded Systems
- DFG SFB-TRR 89: Invasive Computing
- DFG Priority Program SPP1305 on "Control Theory in Digitally Networked Systems"
- DFG Priority Program SPP1914 "Cyber-physical Networking"
- BMBF CPS lead project ARAMiS: Multicore for Smart Mobility
- BMBF project ARAMiS II: Development processes, Tools, Platforms for safety-critical Multicore Systems
- AUTOSAFE: Architecture-aware Timing Analysis and Optimization of Safety-Critical Automotive Software (BMBF)
- Embedded Systems for Electric Vehicles (TUM CREATE)
- Bavarian BICCnet Cluster “AK Multicore”
- CAR@TUM EndorA: Energy management for automotive E/E architectures
- ERC starting grant on “Automated Synthesis of Cyber-Physical Systems”
- Marie Curie Innovative Training Network on the "Platform-aware Model-driven Optimization of Cyber-Physical Systems"