Embedded Systems and Sensors Engineering
Objectives
The ESS research division of FZI researches and develops methods and software tools for the design of reliable Embedded Electronic Systems, Microsystems, Intelligent Sensors and Actors, as well as Systems-on-chip. Application areas are Automotive Electronics, Communications Technology, Industrial Automation and Medical Technology. Our goal is to improve the design and development of hard and software architecture as well as integrating them into a continuous development process.
Team
Professor Müller-Glaser is the director of this very competent network of ESS which consists of about 40 scientists. ESS has many years of extensive experience in execution and direction of national and international research and development projects in cooperation with small-scale enterprises as well as larger global corporations.
The ESS research division of FZI is made up of two teams:
- Team Embedded Systems and Microsystems headed by Prof. Klaus D. Müller-Gläser and Prof. Jürgen Becker:
This team focuses its research and development mainly on Electronic Systems and Microsystems. The key activities include the model-based continuous development and testing of electronic systems, methods and architectures for reconfigurable hardware, methods and tools for hardware-software code design, as well as the applications of distributed real-time-systems e.g. Sensor networks. Other research activities include design methods for the integration of adaptive systems into reconfigurable hardware, whose characteristics are the adaptation to internal and external conditions, signals and demands. - Medical Information Technology Team headed by Prof. Wilhelm Stork:
This team mainly deals with the development and implementation of new monitoring methods, diagnosis and therapy thereby contributing to modern healthcare solutions. Our research field includes the development of mobile sensor and actor technology, the implementation of modern communication technologies, bio-signal processing on mobile systems and the central management of medical data.

