Topics of interest include:

Track 1) System-level design – Specification, modelling, refinement, synthesis, and partitioning of embedded systems, hardware-software co-design, design space exploration, hybrid system modeling and design, model-based design, design for adaptivity and reconfigurability.

Track 2) Domain and application-specific design –Analysis, design, and optimization techniques for multimedia, medical, automotive, cyber-physical, IoT, neural network, and other application domains.

Track 3) Embedded software – Language and library support, compilers, runtimes, parallelization, software verification, memory management, virtual machines, operating systems, real-time support, middleware.

Track 4) System architecture – Heterogeneous systems, many-cores, networked and distributed systems, architecture and micro-architecture design, exploration and optimization including application-specific processors and accelerators, reconfigurable and self-adaptive architectures, storage, memory systems, and networkson-chip.

Track 5) Simulation, validation and verification – Hardware/software co-simulation, verification and validation methodologies, formal verification, hardware accelerated simulation, simulation and verification languages, models, and benchmarks.

Track 6) Safety, security and reliability – Cross-layer reliability, resilience and fault tolerance, test methodology, design for security, reliability, and testability, hardware security, security for embedded, CPS, and IoT devices.

Track 7) Power-aware systems – Power-aware and energy-aware system design and methodologies, ranging from low-power embedded and cyber-physical systems, IoT devices, to energy-efficient large-scale systems such as cloud datacenters, green computing, and smart grids.

Track 8) Embedded machine learning – Hardware and software design, implementation, and optimization for machine learning that are specially designed for resourceand power-constrained embedded, CPS, and IoT devices.

Track 9) Industrial practices and case studies – Practical impact on current and/or future industries, application of state-of-the-art methodologies and tools in various application areas including wireless, networking, multimedia, automotive, cyber-physical, medical systems, IoT, etc