Intelligent & Networked Embedded Systems

Project: Research area

Project Details


Modern embedded systems typically consist of multiple computers that are connected by a wireless or wired network, where the computers are equipped with sensors to perceive the environment and process sensor data using embedded machine learning. Sensor networks, Internet of Things, Cyber-Physical Systems are all examples of this type of technology. The Intelligent & Networked Embedded Systems working group, headed by Prof. Kay Römer, investigates design, implementation, and test of such systems with special emphasis on low-power embedded networking (Prof. Carlo Alberto Boano), embedded learning and sensing systems (Prof. Olga Saukh) as well as their integration into innovative cognitive products (Dr. Michael Krisper).
Effective start/end date1/09/13 → …


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