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Embedded Systems

The last two decades have witnessed a remarkable evolution of computer systems, in particular embedded systems. Such systems are typically hidden within larger electronic devices and carry out a particular function, potentially critical in terms of money or human lives. Examples of such systems are smart-phones, anti-lock brakes, auto-focus cameras, fax machines, life-support devices, flight management systems and hundreds of other use-cases, in which embedded systems are completely unrecognized by the device’s user.

 

Embedded systems enable the real-time computer control of physical devices and systems, resulting in an unprecedented level of performance and utility. The specific imposed requirements that must be satisfied by embedded systems, such as timeliness, dependable operation in safety-relevant scenarios, short time-to-market and low cost in combination with the pressure to increase the functionality, lead to an enormous and challenging growth in the complexity of the design at the system level.

Embedded Systems

MESITA Kick-Off Meeting Marks the Launch of a New EU-Nigeria Partnership

MESITA (Master of Science in Smart Farming and IoT in Agriculture) is a new Master's programme established across four universities in Nigeria to modernize agriculture through smart farming, IoT, embedded systems, and AI-based applications. The programme is delivered by the Nigerian partner universities University of Port Harcourt, Obafemi Awolowo University, Michael Okpara University of Agriculture, Umudike, and Enugu State University of Science and Technology, in collaboration with EU partners University of Siegen, University of Food Technologies Plovdiv, and Wrocław University of Science and Technology, and with industry involvement from AlumUnite Limited.

embedded meeting

Successful Final EmbeddedAI Project Meeting

EmbeddedAI is an international Master of Science programme focused on studies in embedded systems and artificial intelligence. The program covers application areas like agriculture, healthcare, telecommunication, and manufacturing. EmbeddedAI aims to enhance the employability and entrepreneurial skills of Nigerian students by providing them with cutting-edge digital education. It seeks to promote the collaboration between Nigerian and EU universities.

About the Chair

Research and Teaching

chair es

Research

  • NoC-based multi-core architectures with real-time support, fault tolerance and energy effiency
     
  • Networked embedded systems including system architectures, time-triggered protocols and scheduling algorithms
     
  • Methods for dependability including fault diagnosis and fault tolerance (e.g., organic computing)
     
  • Embedded Artificial Intelligence (AI) including embedded AI models and hardware accelerators with real-time support and dependability
     
  • Application domains including industrial control, automation, automotive systems, avionics and medical systems

     

Teaching

  • Basic computer science courses (e.g., technical computer science, object-oriented design)
     
  • Specialized courses in the area of embedded systems(e.g. embedded system design with FPGA, embedded system)
     

Research Fields

Embedded System Technologies

Our research offers solutions to the challenging problems of designed embedded systems through significant advances in the area of distributed system architectures. A system architecture provides the scientific and engineering foundation for the construction of embedded systems.

The goals of our research are to discover design principles and to develop architectural services that enable a component-based development of embedded systems in such a way that the ensuing systems can be built cost-effectively and exhibit key non-functional properties (e.g. composability, robustness, maintainability).

Our investigations have resulted in contributions ranging from conceptual models of component-based system architectures, to distributed algorithms for protocol transformation and fault-tolerance, to embedded operating system technologies, to embedded AI technologies and a multi-processor system-on-a-chip for safety-relevant applications. We follow a balanced intermix between conceptual work with a sound theoretical basis and prototype implementations with experimental evaluations. Due to the interdisciplinary nature of embedded systems, we employ close cooperation with researchers from other fields (e.g. experts on hardware-software co-design, knowledge management, theoretical computer science, specialists from automotive, railway, avionic and industrial control domains). Furthermore, our close collaboration with industry provides real-world requirements and research challenges, as well as industrial feedback.

Research focus

  • Mixed-criticality systems
  • Adaptive and dependable real-time systems
  • Networked embedded systems
  • Predictable multi-core architecture
  • Embedded AI
  • Domain-specific architectures and platforms

     

 

Publication Lists

Publications

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Martin Elshuber, Roman Obermaisser

Dependable and predictable time-triggered Ethernet networks with COTS components

Mohammed Abuteir, Roman Obermaisser

Simulation environment for time-triggered ethernet

Oliver Höftberger, Roman Obermaisser

Ontology-based runtime reconfiguration of distributed embedded real-time systems

Roland Kammerer, Bernhard Frömel, Roman Obermaisser, Paul Milbredt

Composability and compositionality in CAN-based automotive systems based on bus and star topologies

Imad Sanduka, Tim Lochow, Roman Obermaisser

Runtime Fault Prediction and Prevention for Emerging Services in System of Systems

Emmanuel Odei-Lartey, Klaus Hartmann, Hamidreza Ahmadian

Routing in Wireless Ad hoc and Sensor Network Underground with Sensor Data in Real-Time

Roman Obermaisser

Cross-Domain Reference Architecture for Embedded Systems

Roland Kammerer, Roman Obermaisser, Bernhard Fromel

Dynamic configuration of a time-triggered router for controller area network

Roland Kammerer, Roman Obermaisser, Bernhard Froemel

A Router for the Containment of Timing and Value Failures in CAN

Roman Obermaisser, Roland Kammerer, Andreas Kasper

Sternkoppler für Controller Area Network (CAN) auf Basis eines Multi-Processor System-on-a-Chip (MPSoC)

Roman Obermaisser, Oliver Höftberger

Fault Containment in a Reconfigurable Multi-Processor System-on-a-Chip

Mikel Azkarate-Askasua, Roman Obermaisser, Imanol Martinez, Xabier Iturbe

Dependability Assessment of the Time-Triggered SoC Prototype using FPGA Fault Injection

Embedded Systems Projects

Topic Areas

WISES
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Predictive maintenance in industry to increase availability and energy efficiency using multimodal analysis models and agent-guided mobile sensor technology (WISES)

BANNER
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Bidirectional connection of commercial vehicles for greater grid stability and increased efficiency (BANNER)

Roman Obermaisser

Univ.-Prof. Dr.-Ing. Roman Obermaisser

Professor

Prof. Dr. Roman Obermaisser is full professor at the Division for Embedded Systems of University of Siegen. Roman Obermaisser has finished his doctoral studies in Computer Science with Prof. Hermann Kopetz at Vienna University of Technology as research advisor in 2004.

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Dipl.-Ing. Stefan Otterbach

Mitarbeiter Technik und Verwaltung
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Abdulmajeed Alhumaidi

Wissenschaftlicher Mitarbeiter
Yosab Bebawy

Yosab Bebawy M.Sc.

Wissenschaftlicher Mitarbeiter
Ugonna Oleh

Ugonna Queen Oleh M.Sc.

Wissenschaftliche Mitarbeiterin

Ugonna Oleh is a research associate at the Chair of Embedded Systems, University of Siegen.

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Omar Hekal

Research assistant
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Aravinda Lasya Indukuri

Wissenschaftliche Mitarbeiterin
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Kritima Rajbanshi, M.Sc.

Research Associate

Doktorandin und wissenschaftliche Mitarbeiterin am Lehrstuhl für Embedded Systems.

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Dr.-Ing. Daniel Lucky Ndubuisi Onwuchekwa

Research assistant
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Jan Kunze

Technischer Mitarbeiter
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Matthias Bundschuh

Technischer Mitarbeiter
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Sina Marie Bundschuh

Wissenschaftliche Mitarbeiterin

Contacts of Chair

Postal address

Universität Siegen
Fakultät IV
Embedded Systems
Hölderlinstr. 3

57068 Siegen

Visitor address

Universität Siegen
Fakultät IV
H-E Ebene 0
Hölderlinstr. 3

57068 Siegen

Secretariat

Manuela Popp
Universität Siegen
Hölderlinstr. 3

H-E 008
57068 Siegen