Core topic ULP sensor systems in our Integrated sensor systems research field: We research and develop ultra-low-power (ULP) sensor systems that require very little power and have integrated energy management components. Our goal is to use them to open up new applications for the Internet of Things.
Core topic AI-based design and test automation in our Integrated sensor systems research field: We are researching to use AI to make the development process of integrated sensor systems safer and more cost-effective. AI can help developers in the process to avoid errors and apply informal knowledge in an automated way.
Research field Smart distributed measurement and test systems: Integrated sensor ICs are the heart of sensor and measurement systems like wireless sensors, stationary or handheld devices. We are researching solutions for ever more powerful sensors with more intrinsic intelligence and task allocation in the network.
Core topic Analysis of distributed IoT systems in our Smart distributed measurement and test systems research field: For complex distributed IoT systems, we model components for system-wide analysis of energy consumption. We put intelligence into the network, enable tasks to be solved flexibly and autonomously, and make individual functions portable and robust.
Core topic Embedded AI in our Smart distributed measurement and test systems research field: The numerous existing AI algorithms and methods for high-performance computing are unsuitable for embedded systems. We are researching to optimise AI algorithms and methods so that they can be used on embedded systems.
Core topic Modular and mobile test systems in our Smart distributed measurement and test systems research field: Test capabilities are an integral part of all application developments. We research modular test systems that can be adapted flexibly and quickly to new challenges through optimised functional test units.
Lead application Sensor systems for in-vitro diagnostics: Here we are developing sensor systems for in-vitro diagnostics that enable individual, decentralised health monitoring for all with electronic rapid tests.
Lead application RFID sensor technology: We are researching energy-efficient solutions for RFID sensor technology in order to open up new applications and, for example, to make processes in industry more resource-efficient.
Lead application Adaptive edge AI systems for industrial application: We are researching solutions for adaptive edge AI systems to make AI possible on low-consumption embedded systems in industry and to network them in real time.
Lead application IoT systems for cooperative environmental monitoring: We are researching energy-efficient solutions for IoT systems to open up new applications for cooperative environmental monitoring, such as in agriculture.
