Welcome to the Department of Intelligent Embedded Systems

New and Interesting

Christopher Ringhofer

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.

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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!

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2024-01-29 Disputation Congratulations to Sam Erbati

We are pleased to announce that our external PhD student Sam Erbati successfully defended his disputation under the title "Towards the optimal orchestration of service function chains to enable ultra-reliable low latency communications in an NFV-enabled network" on January 29th.

We congratulate him on this milestone and wish him all the best for future challenges!

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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
 

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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

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Teaching

The courses offered by this department
 

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