Many-core embedded systems (MES) are moving towards the integration of hundreds of cores on a single chip and hold the promise of increasing performance through parallelism. As the number of cores integrated into a chip increases, the on-chip communication becomes a power and performance bottleneck in future MESs. On-chip network has been proposed as the most viable solution to meet the performance and design productivity requirements of the complex on-chip communication infrastructure. NoCs provide an infrastructure for better modularity, scalability, fault-tolerance, and higher bandwidth compared to traditional infrastructures. On the other hand, developing applications using the full power of MES requires software developers to transition from writing serial programs to writing parallel programs. On top of that, contemporary Operating Systems (OS) have been designed to run on a small number of reliable cores and are not able to scale up to hundreds of cores. Therefore, designing scalable and fault-tolerant OSs will be a tremendous challenge in future MESs. As neuromorphic and mixed-signal architectures are emerging as an alternative solution beyond the conventional digital von Neumann machines for complex applications, we would like to highlight such emerging architectures in this workshop. In addition, we would like to emphasize on energy efficient (real-time) data processing in the realm of Big data and IoT applications through MESs. The goal of this workshop is to bring together the researchers from academia and the experts from industry to present and discuss innovative ideas and solutions in the design, modeling, prototyping, programming, and implementation of MES.