Research
The Institute for Automation Engineering - IFAT is an institute of the Faculty of Electrical Engineering and Information Technology at Otto von Guericke University Magdeburg. It combines research and teaching in the fields of modelling, synthesis and control of complex systems, system and control theory as well as device and system technology implementation.
Automation engineering is a cross-sectional science at the interface of system sciences, natural sciences and engineering sciences. It is an innovation driver and key technology for essential changes in the most diverse areas of daily life. The core idea of automation engineering is the close interlocking of analysis, synthesis and realisation to solve a technical-mathematical problem - competences from these areas are uniquely combined at IFAT in Germany. The issues considered range from process engineering processes, manufacturing plants, for example for automobile or solar cell production, the communications and transport sector, to biological and medical problems.
Chair of Automation Engineering / Modelling - Prof. Achim Kienle
Prof. Achim Kienle's research group at the University and the Max Planck Institute for Dynamics of Complex Technical Systems Magdeburg works in the field of process modelling and analysis:
- mathematical modelling and model reduction
- process design
- process control
- analysis of biological systems
Chair of Digital Automation Systems - Prof. Lisa Underberg
The whole is greater than the sum of its parts. The development process of automation systems and their digital transformation is the focus of the chair.
Key areas include:
- equipment and process control technology
- industrial wireless and wired communication
- structural and behavioral analysis
- engineering of automation systems
Chair of Measurement Technology - Prof. Ulrike Steinmann
The research focuses on:
- human-machine interaction
- measurement systems for micro-resonant sensors
- sensor integration into cost-effective, plastic-based fluidic platforms
- microfluidic measurement cells for inline fluid analysis
Chair of Systems Theory and Control Engineering - Prof. Nicole Gehring
The research focuses on fundamental theoretical research related to the control of systems with spatially distributed Parameters. The methods developed are applied in innovative technological and industrial applications, particularly in electrical, process, mechanical, and biomedical engineering.