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

Screenshot der ersten Seite des Papers

2025-04-01 Paper Journal of Neural Engineering Two new papers in the renowned Journal of Neural Engineering!

Congratulations to Andreas Erbslöh on his paper "Prediction of impedance characteristic during electrical stimulation with microelectrode arrays", published on March 19, 2025!

Belated congratulations also to Andreas Erbslöh and Leo Buron on their paper "Technical survey of end-to-end signal processing in BCIs using invasive MEAs"!

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Lecture Hall photographed from above

2025-03-25 SS25 Courses for the Summer Term 2025

Dear Students,

The courses for the upcoming summer semester have now been published! You can now view the full list of offered courses along with further details on schedules and content.

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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.

Title of the paper is: Integer-only Quantized Transformers for Embedded FPGA-based Time-series Forecasting in AIoT.
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You can find more detailed as well as previous news in our news archive

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
A detailled overview can be found here
© Christopher Ringhofer

Our Team

The members of the department team
 

To the Team

Research

Here you can find an overview of the different research projects of this department

Current research projects

IoT Garage

A place to build intelligent devices, offered by students for students

To the IoT Garage

Teaching

The courses offered by this department
 

To courses overview

​​Member of the paluno research institute for Software Engineering​Paluno-Logo

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and of the CENDIQ competence centre