Project Leader
The project is being led by Professor Georg S. Düsberg. He is working together with an interdisciplinary consortium.
Institute of Physics (Professor Düsberg, Professor Hansch, Professor Eisele)
The Institute of Physics of the Department of Electrical Engineering and Information Technology has the resources (clean rooms, design and joining technology) to develop new types of sensors. Nanomaterials and characterization methods make it possible to develop new types of sensors (chemical, NEMPS, photonic, memristive) and adaptive networks. The institute has the clean room resources and laboratories for processing and developing semiconductor components, material synthesis and processing, material integration in sensor nodes and NEMS, and for developing sensor and neuromorphic systems and characterizing materials, components and systems.
Institute of Microelectronics and Circuit Design (Professor Maurer)
The Institute of Microelectronics and Circuit Design of the Department of Electrical Engineering and Information Technology has the necessary know-how for developing highly integrated circuits. It can design optimized circuits (analog, digital and mixed signal) for sensor systems which ensure the best possible signal evaluation of sensor data. The institute also works on issues such as energy consumption and optimal interfaces. When it comes to the characterization of sensor systems, the focus lies on electrical measurement technology up to the millimeter-wave frequency range (300 GHz).
Professorship for Embedded Systems and Computers in Technical Systems (Professor K. Buchenrieder)
The Professorship for Embedded Systems and Computers in Technical Systems of the Department of Computer Science will work on the filtering, pre-processing and classification of sensor data in embedded systems. Medical technology studies carried out so far have successfully looked into various sensor systems, signal processing and classification systems for controlling complex prosthetic arms and hands. These studies have also developed functional prototypes and implemented them in the products of research partners. Available sensors are currently being adapted, and signal processing and fusion methods are being developed for medical applications, in particular biomonitoring.
Institute of Computer Engineering (Professor M. Hofmann)
The Institute of Computer Engineering of the Department of Computer Science specializes in data acquisition, data evaluation, data reduction, and data processing with AI methods. It also studies energy-efficient data analysis and evaluation with neuromorphic networks (e.g. edge computing).