Welcome to the Intelligent Embedded Systems Lab
Everything is Embedded
Embedded computer systems are omnipresent in everyday life, often without us even noticing their presence. Computers are nowadays incorporated into a vast variety of objects, ranging from a coffee machine over a car to a person’s heart pacemaker. However, to improve these systems they require an ever growing amount of resources.
The Intelligent Embedded Systems lab (IES) focuses on research, development and advancement of such ‘invisible’ computer systems. We specifically aim to create resource constrained but intelligently acting devices in the Internet of Things.
New and Interesting
2026-03-31 PerConAI 2026 Best Paper Award received!
We congratulate Florian Hettstedt, Cedric Giese, Tianheng Ling, Andreas Erbslöh, and Gregor Schiele on receiving the Best Paper Award for their paper "Towards an End-to-End System for Real-Time Gesture Recognition from Surface Vibrations" at PerConAI 2026!
In their paper, they present an innovative system that transforms conventional tables into discrete user interfaces through the detection of surface vibrations.
2026-03-18 PhD Defense Successful PhD Defense!
We sincerely congratulate Tianheng Ling on the successful defense of her doctoral thesis and on earning her doctorate with distinction (Dr.-Ing.)!
In her research, she focused on the efficient implementation of Transformer-based models for time-series analysis on resource-constrained embedded systems.
We wish her all the best and continued success in the future!
2026-03-11 Courses Summer Term 2026 Courses for the Summer Term 2026
Dear Students,
The courses for the Summer Semester 2026 have now been published! Here you can find an overview of all lectures, tutorials, and practical projects that you can take.
Core Aspects of our Research
The goal of the Embedded Systems research group is to develop algorithms, concepts and procedures to develop networked embedded systems. Examples include the so called Internet of Things (IoT), Cyber-physical Systems (CPS) or Industry 4.0. Currently our research consists of the following core aspects:
Funded Projects
Here you can find an overview of the different third-party funded projects of the Lab
Member of the paluno research institute for Software Engineering
and of the CENDIQ competence centre