Cyber-Physical Systems (CPSs) [1] connect the real world to software systems through a network of sensors and actuators in which physical and logical components interact in complex ways. There is a diverse range of application domains [2], including health [3], energy [4], transport [5], autonomous vehicles [6] and robotics [7]; and many of these include safety critical requirements [8]. Such systems are, by defi- nition, characterised by both discrete and continuous components. The development and verification processes must, therefore, incorporate and integrate discrete and continuous models. The development of techniques and tools to handle the correct design of CPSs has drawn the attention of many researchers. Continuous mod- elling approaches are usually based on a formal mathematical expression of the problem using dense reals and differential equations to model the behaviour of the studied hybrid system. Then, models are simulated in order to check required properties. Discrete modelling approaches rely on formal methods, based on abstraction, model-checking and theorem prov- ing. There is much ongoing research concerned with how best to combine these approaches in a more coherent and pragmatic fashion, in order to support more rigorous and automated hybrid-design verification. It is also possible to combine different discrete-event and continuous- time models using a technique called co-simulation. This has been sup- ported by different tools and the underlying foundation for this has been analysed. Thus, the track will also look into these areas as well as the industrial usage of this kind of technology