Conference topics
Original and unpublished submissions are solicited, which may be under two forms: Regular and Short papers.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 conference (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 conference (registration and presentation by one author are mandatory).
For each of these domains, emphasis is placed on the following key properties and considerations:
- Performance Optimization: Execution and communication latency optimization, energy optimization, etc.
- Engineering Efficiency: Agile methods, model-based engineering, AI-driven development, rapid prototyping, low-code platforms, and AI-supported engineering.
- Resilience: Fault tolerance, radiation hardening, health monitoring, safety analysis techniques, etc.
- Cybersecurity: Security analysis, trusted execution, data protection, secure communications, blockchain, etc.
- Development Assurance and Certification: Compliance with certification standards and regulations, timing analysis, trustworthy and explainable AI.
- Scalability: Distribution, modularity, etc.
- Autonomy: Real-time decision-making, smart systems, and autonomous verification.
- Sustainability: Energy management, life cycle design, green computing, recycling and upcycling electronics, frugal AI, etc.
- Sovereignty: Open-source software and hardware, secure and independent supply chains, etc.
- Efficient Human-System Collaboration: User-centred design, behaviour monitoring, human-system task sharing, remote operation interface, and societal impacts of AI.
