Welcome to the Embedded Systems Department
New and Interesting
Artificial Intelligence (AI) increasingly defines the societal, political and economical debates. The TU Dortmund organises a lecture series on this topic called Gradwanderung Künstliche Intelligenz (21.04. - 14.07.), that examines in more detail how the relation between humans and AI currently is.
Prof. Schiele will give a online lecture in this context with the topic KI - Irren ist nicht nur menschlich on the 21.04.2021.
You can find more information here. - 07.04.2021
33rd International Conference for the Architecture of Computing Systems (ARCS) 2020 Won the Best Presentation Award!
With their paper about the efficient calculation of Eigenvalue problems on embedded FPGAs Alwyn Burger, Patrick Urban, Jayson Boubin and Gregor Schiele have won the Best Presentation Award on the ARCS 2020 Conference!
"[...]We present a novel hardware architecture for embedded FPGAs that performs eigendecomposition using previously unused techniques like squared Givens rotations. That leads to a 3x performance improvement for 16x16 covariance matrices over similar approaches that use much larger FPGAs. Offering higher than 30fps at only 68.61µJ per frame, our architecture creates exciting new possibilities for intelligent mobile devices."
Home Office, IoT Garage closed, teaching online The department in during the Coronavirus
Due to the current situation the department will continue working doing Home Office and are available via Email. Our IoT-Garage will remain closed. Meetings, discussions and presentations will be done electronically.
The University Duisburg-Essen has additionally moved the begin of the summer semester 2020 to the 20th of April. Due to this the start of all lectures, projects and the seminar are moved accordingly. Due to this, all courses will be offered digitally, via videos and live streams. To keep up to date please visit our teaching page (link), on Twitter (link) and on the website of the university (link)
The goal of the Embedded Systems research group is to develop algorithms, concepts and procedures to develop networked embedded systems. Examples for this are the so called Internet of Things (IoT), Cyber-physical Systems (CPS) or Industrie 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