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
2026-04-24 Paper accepted Paper accepted at SmartComp 2026!
The paper “Precomputed 1D-CNNs for Atrial Fibrillation Detection on Tiny Smart Sensor Systems” by Lukas Einhaus has been accepted at SmartComp 2026!
It presents a systematic approach to designing efficient, LUT-based 1D CNNs for ultra-low-power FPGAs. The results demonstrate that powerful AI is possible even on extremely resource-constrained hardware and pave the way for energy-efficient smart sensor systems.
2026-04-14 WEML Workshop 2026 Successful WEML Workshop 2026!
On April 9, 2026, the 6th Workshop on Embedded Machine Learning (WEML 2026) took place at the Fraunhofer inHaus Center in Duisburg. The workshop was jointly organized by the IES Lab, ZaKI.D and the HAWAII Lab of Heidelberg University.
The WEML workshop series regularly brings together researchers and practitioners from academia and industry to discuss current developments in the field of embedded machine learning.
2026-04-14 AAIML 2026 AAIML 2026 in Tokyo!
At the International Conference on Advances in Artificial Intelligence and Machine Learning (AAIML 2026), held from March 20 to 22, 2026 in Tokyo, Japan, Fatih Özgan was represented with his paper “Deep Reinforcement Learning and the IID Assumption”.
The paper was developed in collaboration with Prof. Herman Engelbrecht from Stellenbosch University (South Africa)!
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