Welcome to the Department of Intelligent Embedded Systems
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 department (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
2024-08-02 IEEE AIoT 2024 Best Paper Award received!
At the IEEE AIoT2024 conference, Tianheng Ling, Chao Qian and Gregor Schiele won the Best Paper Award for their work on the efficient implementation of integer-only quantised Transformers on embedded FPGAs.
2024-06-03 New BMBF project TransfAIr: Transfer approaches for artificial intelligence in industry
In May, a new research project was launched, the consortium of which we are leading: TransfAIr.
In this project, which is funded by the Federal Ministry of Education and Research, we are working together with the Chair of Distributed Systems of Prof. Dr.-Ing. Torben Weis and the companies HARTING, Krohne Messtechnik and Kuntze Instruments to develop and test transfer approaches for artificial intelligence in industry.
2024-02-18 CCF Journal Top 20 Article about Elastic AI ranked 12th
In the renowned Springer journal CCF Transactions on Pervasive Computing and Interaction, our article Elastic AI: system support for adaptive machine learning in pervasive computing systems has recently been ranked 12th in the list of most downloaded articles.
We are very pleased that our research article has now been downloaded over 3264 times and hope that we can inspire even more people with our ElasticAI approach in the future!
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
Research
Here you can find an overview of the different research projects of this department
Member of the paluno research institute for Software Engineering
and of the CENDIQ competence centre