Mission and Goals

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.

Core Competencies

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.

Research

  • Automotive embedded systems
  • Embedded control 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

Projects