Call for Papers and Major Topics

call for papers

ERTS_22_CFP_ New Dates

The congress targets all the domains where embedded systems are crucial, such as, but not limited to, transportation (aeronautics, automotive, railways, marine, unmanned vehicles,…), space exploration and satellite applications, e-healthcare, industry 4.0, defence, energy, telecoms. The congress welcomes submissions concerning academic and industrial research, practical experiences and use cases, feedbacks on new technologies, and position papers on challenges or major trends. 

This edition encourages contributions bringing innovative cross-fertilising ideas for the development, deployment and operation of safe and secure intelligent systems, including software and hardware disciplines targeting the support of advanced autonomy. This includes topics related to the design, verification, assessment and certification of critical embedded systems and applications based on artificial intelligence and machine learning algorithms.

Original and unpublished submissions are solicited, which may be under two forms: Regular and Short papers.

• Regular papers presenting achieved results. The selection will be based firstly on the review of extended abstract (4 pages) followed by the review of the full paper (10 pages) for final acceptance. Accepted regular papers will be published in the proceedings and presented in an oral session at the congress (registration and presentation by one author are mandatory).
• Short papers reporting on work in progress. The selection will be based on the review of the full short paper (4 pages). Each accepted short paper will be published in the proceedings and presented both as a poster and in a five-minute oral presentation at the congress (registration and presentation by one author are mandatory).

Major Topics of interet

Submissions are expected in all aspects of critical embedded real-time systems, and notably on the following topics:

Embedded computing platforms and networked systems

• Distributed architectures,
  Edge computing
• Multi-core/manycore platforms,
  Hardware accelerator
• Embedded networks,
• Middleware,
• Virtualisation,
• Service-oriented platforms,
• Energy-aware management
• Trusted execution platforms,
• Blockchains,
• Networks-on-chip,
• Software-defined networks

Processes, methods and tools

• Agile techniques,
• AI based development methods,
• Model-based system engineering,
• Virtual engineering and simulation,
• Formal methods,
• Requirement engineering,
• Product line engineering,
• New programming and verification languages
  New SDK approaches

 Resilience

• Dependability,
• Safety,
• Cyber security,
• Quality of service,
• Fault tolerance,
• Maintainability,
• Diagnosis
• Health monitoring,
• Certification
  Privacy and data protection

Human system interactions

• User interfaces for command and control systems,
• Human monitoring and error evaluation,
• User-centred design,
• Automation design and function allocation

Autonomous and connected systems

• Adaptive systems,
  Dependable and trustworthy artificial intelligence,
• Robotics, Drones,
• Internet of Things (IoT),
• Intelligent systems,
• Assured autonomy,
  Acceptability,
• Ethical and legal issues