MESITA
-
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.
About the Chair
Research and Teaching
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
Conference paper
2022
A Novel Analysis of Performance and Inference Time of Machine Learning Models to Detect Cardiovascular Emergency Situation of Rescue Patients
A Novel Analysis of Performance and Inference Time of Machine Learning Models to Detect Cardiovascular Emergency Situation of Rescue Patients
Conference paper
2022
Design and Evaluation of Guided Wave Signal Generation for System-On-Chip Platform on FPGA
Design and Evaluation of Guided Wave Signal Generation for System-On-Chip Platform on FPGA
Journal article
2022
Fault Injection with Multiple Fault Patterns for Experimental Evaluation of Demand-Controlled Ventilation and Heating Systems
Fault Injection with Multiple Fault Patterns for Experimental Evaluation of Demand-Controlled Ventilation and Heating Systems
Conference paper
2022
KIRETT - A wearable device to support rescue operations using artificial intelligence to improve first aid
KIRETT - A wearable device to support rescue operations using artificial intelligence to improve first aid
Conference paper
2022
Verification of Bio-Electronic Systems
Verification of Bio-Electronic Systems
Journal article
2022
Adaptive Scheduling For Time-Triggered Network-On-Chip-Based Multi-Core Architecture Using Genetic Algorithm
Adaptive Scheduling For Time-Triggered Network-On-Chip-Based Multi-Core Architecture Using Genetic Algorithm
Conference paper
2022
Evaluation of AI-based Meta-scheduling Approaches for Adaptive Time-triggered System
Evaluation of AI-based Meta-scheduling Approaches for Adaptive Time-triggered System
Conference paper
2022
Graph Neural Networks Based Meta-scheduling in Adaptive Time-Triggered Systems
Graph Neural Networks Based Meta-scheduling in Adaptive Time-Triggered Systems
Journal article
2022
Realistic Simulation of Sensor/Actuator Faults for a Dependability Evaluation of Demand-Controlled Ventilation and Heating Systems
Realistic Simulation of Sensor/Actuator Faults for a Dependability Evaluation of Demand-Controlled Ventilation and Heating Systems
Conference paper
2022
AI-Based Scheduling for Adaptive Time-Triggered Networks
AI-Based Scheduling for Adaptive Time-Triggered Networks
Conference paper
2022
Detection of Respiratory Emergency Situation of Rescue Patients with Machine Learning Algorithms
Detection of Respiratory Emergency Situation of Rescue Patients with Machine Learning Algorithms
Journal article
2022
Fault-injection for Hardware- and Software-in-the-Loop testing of networked railway systems
Fault-injection for Hardware- and Software-in-the-Loop testing of networked railway systems
Embedded Systems Projects
Topic Areas
Education
TECY: Telepresence and Collaboration of Students in a Mixed Physical/Virtual La…EmbeddedAI: International Master of Science Program in the Field of Embedded AIIGNITE: Individual support in teaching of mathematics, computer science, natura…IOTRAIN: Master of Engineering in Internet of ThingsMS@CPS: International Master of Computer Science on Cyberphysical SystemsMESITA: Smart Farming and IoT in AgricultureSKOPS: Empowering the European Workforce Development through Online/Virtual Ski…
