14th International Symposium on Industrial Embedded Systems (SIES 2024)

The 14th International Symposium on Industrial Embedded Systems (SIES 2024) covers topics such as:

• System-on-chip and network-on-chip design & testing
  • Design and programming of embedded multiprocessors
  • Design of application-specific instruction-set processors
  • Risc-v and open hardware
  • Soc communication and architectures
  • Design of soc/noc
  • Noc communication and architectures
  • Reconfigurable platforms
  • Platform-based design for embedded systems
  • Testing of embedded core-based integrated circuits
  • Multiprocessor soc platforms and tools
  • Hardware security
• Embedded systems
  • Real-time systems
  • Design and validation of embedded systems
  • Models of embedded computation
  • Real-time artificial intelligence and machine learning
  • Operating systems and scheduling
  • Design and verification languages
  • Design space exploration
  • Timing and performance analysis
  • Qos mechanisms for virtualization
  • Virtualization technologies
  • Fault tolerance & dependability adaptive embedded systems
  • Energy and power aware embedded computing
  • Cyber-security for embedded systems
• Embedded applications
  • Automotive applications and autonomous driving
  • Cyber-physical systems and internet of things, including industrial automation and controls
  • Smart home
  • Intelligent transportation systems
  • Industrial building automation and control
  • Wireless health care
  • Real-time edge computing use cases
• Networked embedded systems and edge computing
  • Middleware frameworks
  • Design issues for networked embedded
  • Resource scheduling and orchestration in distributed systems
  • AI at the edge
  • Time-sensitive networks and 5g/6g-enabled embedded systems
  • Self adaptive networked entity sensor networks
  • Methodologies for performance-aware functional decomposition between cloud and edge
  • End-to-end latency guarantees in the edge-to-cloud continuum
  • Safety, security, and real-time performance in distributed applications