Topics of particular interest include, but are not limited to: Innovative architectures and emerging technologies in smart embedded systems Smart embedded systems integrating with emerging technologies (e.g., emerging memory technologies, emerging hardware design) Machine learning and artificial intelligence techniques for smart embedded systems Software optimization techniques for power, timing, memory minimization Code size optimization techniques for smart embedded systems Software design and optimization for multi-core, parallel and heterogeneous smart embedded systems Software optimization for memory systems in smart embedded systems Real-time software design and optimization Trustworthy computing in embedded software Secure software design in smart embedded systems Application-specific embedded software design and optimization Code generation and optimization for embedded processors Design space exploration and minimization Profiling and analysis techniques for smart embedded software Verification and testing techniques for smart embedded software Power/energy estimation tools for smart embedded systems System-level power/energy management Case studies and specific applications of smart embedded systems (e.g., smart transportation, smart environment, smart devices, smart cars, smart buildings, smart medicine and so on)