Our lab aims to understand the fundamentals of intelligent, highly functional and autonomous systems based on smart and soft materials that are so small that their intelligence and functionality can no longer be based on semiconductor electronics. We investigate how such systems can still be highly functional, how they can process complex information and what options exist for energy supply. A special emphasis of our research is on basic concepts of of non-semiconductor-based information processing

Medical technology, bioanalytics and diagnostic system technology have a long and successful tradition at the Chair of Microsystems in both applied and basic research. Together with industry partners, we develop practical medical technology systems, but we also deal with fundamentally new approaches to solving major challenges in analysis, diagnostics and therapy.

Reality 2.0 wants to replace your visual perception of the world with a fully virtual 3D environment. It makes the boundaries between physical and virtual world disappear. Such a physical-digital reality makes technology limitless. Reality 2.0 may seem like a distant future, but it is not. Together with scientists from other disciplines, including psychologists, we want to understand the specific requirements of such systems, possible system architectures, their basic parts and possible technical solutions.

Cyber-physical systems are the basis for the great trends of the Internet of Things, Smart Systems, Industry 4.0, etc. They are created through "things" embedded systems connected by wired or wireless communication networks to sometimes huge systems. In our research, we focus on small systems that are integrated in everyday objects, in production systems or even in aircraft or parts of building constructions.

Der Entwurf und die Simulation elektromechanischer und anderer multiphysikalischer Systeme mit Methoden der Elektrotechnik sind heute nicht nur für Elektrotechniker attraktiv. Zur Beschreibung des dynamischen Verhaltens solcher Systeme wird die Netzwerktheorie verwendet. Die Vorteile dieser Entwurfsmethode liegen in der Anwendung der übersichtlichen und anschaulichen Analyseverfahren elektrischer Netzwerke, der Möglichkeit des geschlossenen, domänenübergreifenden Entwurfs physikalisch unterschiedlicher Teilsysteme und in der Verfügbarkeit leistungsfähiger Schaltungssimulatoren.