The EDMA-2017 international workshop aims to provide, within the 10th IEEE International Conference on Cyber, Physical and Social Computing, a forum for presentations, discussion and sharing of current challenges, knowledge, expertise and solutions regarding trends and technologies for the use of data and computational models for dealing with complexity in industrial, engineering, cyber-physical and related domains.
This international workshop invites contributions from across engineering and data science researchers on data (knowledge discovery, machine learning, big data analytics) and model-based methods (e.g. phenomenological / engineering models of care, degradation and failure, reliability) to deliver effective and efficient solutions to current challenges of handling complexity in real-world engineering and industrial applications.
Papers primarily based on (but not limited to) the following topics are welcome: (Topics include but not limited to)