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
2025-12-16 IEEE AIoT 2025 Best Paper Award received!
We congratulate Tianheng Ling, Chao Qian, and Prof. Dr. Gregor Schiele on receiving the Best Paper Award for their AIoT2025 paper “StrikeWatch: Wrist-worn Gait Recognition with Compact Time-series Models on Low-power FPGAs”.
In addition, we are pleased to announce the acceptance of their paper “Enabling Vibration-Based Gesture Recognition on Everyday Furniture via Energy-Efficient FPGA Implementation of 1D Convolutional Networks”, which was also presented at AIoT2025 and written in collaboration with the Ubiquitous Computing Systems Lab at NAIST, Japan.
2025-12-03 Annual Research Summit Annual Internal Research Summit 2025
From November 14–16, 2025, our annual research summit took place. Our doctoral candidates gave presentations on their current research and outlined their plans for their dissertations.
In addition, there was a keynote lecture by Prof. Dr. Herman Engelbrecht from Stellenbosch University in South Africa.
2025-10-28 field trial TransfAIr Third field trial as part of TransfAIr
As part of our research project TransfAIr, the third field trial was successfully launched in collaboration with our industry partner HARTING and, in particular, the HARTING Innovation Hub in Osnabrück.
The project focuses on equipping mechanical agricultural implements (e.g. ploughs, cultivators) with smart connectors.
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:
- Embedded Machine Learning
- Programming Adaptive Embedded Systems
- IoT Deployment and the Edge
- Embedded Security
Funded Projects
Here you can find an overview of the different third-party funded projects of this department
Member of the paluno research institute for Software Engineering
and of the CENDIQ competence centre