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
2026-07-28 PhD Defense Successful PhD Defense!
Congratulations to Chao Qian on the successful defense of his dissertation and the completion of his PhD (Dr.-Ing.)!
As part of his doctoral research, Chao focused on the energy-efficient acceleration of deep learning on resource-constrained FPGAs.
We congratulate Chao on this important milestone and wish him continued success in his future academic and professional career!
2026-04-14 Two Papers accepted Two papers accepted at Codassca 2026!
We are pleased to announce the acceptance of two papers from our research group for CoDASSCA 2026:
“KANLib – A Modular, Extensible and Fast Kolmogorov-Arnold Network Implementation” by Julian Hoever and “elasticAI.explorer: Towards a Unified End-to-End Framework for Hardware-Aware Neural Architecture Search” by Natalie Maman.
We congratulate them on this achievement!
2026-04-24 Paper and Demo at SmartComp Paper and Demo presented at SmartComp 2026!
Lukas Einhaus and Natalie Maman presented the paper “Precomputed 1D-CNNs for Atrial Fibrillation Detection on Tiny Smart Sensor Systems” and the demo “Deriving LUT-based Neural Network Hardware Accelerators for Tiny Smart Sensor Systems” at IEEE SMARTCOMP 2026 (22–25 June 2026, Messina, Italy).
The presented work demonstrates how efficient LUT-based neural networks and hardware accelerators can be developed for energy-efficient smart sensor systems.
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