EDMA 2017 - International Workshop on Engineering Data- & Model-driven Applications (EDMA-2017)

We are witnessing a dramatic increase of large engineering data resource availability and accessibility.
Data-driven technologies, sensors connected through the Internet of Things (IoT) and big data capabilities nowadays show sustained development throughout an industrial product’s lifecycle, from R&D testing to design, verification, production validation and maintenance.
Such progress in modern industrial environments exposes richer, domain-specific data and requires validated model-driven processes that interact dynamically with data science and computational modelling approaches. New research in aggregation, integration, analysis and governance of data and derived models is now required throughout the lifecycle of industrial products - from design to exploitation, reuse, and recycle.
Delivering on these new opportunities requires development, validation and adoption of effective data science solutions that can provide information and insight from data and models to applications of cyber-physical systems, from autonomous cars to industrial processes.
Workshop topics
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.
We welcome original contributions (reviews and surveys, technical and research papers) on methodologies, formalisms, algorithms and solutions for the following topics and related areas:
Data and Model Governance for Engineered Cyber-Physical Systems
Engineering and Industrial Data Quality Assessment
Machine Learning for Engineering and Industrial Data Processing
Cyber-Physical Systems data measurement, monitoring and forecasting
Data Analytics and Visualisation, Patterns and Data Modelling for Cyber-Physical Systems
Computational Modelling Techniques, Software Tools and Verification, Model Validation for Engineered Cyber-Physical Systems
Big Data, Internet of Things, Expert Systems applications to Cyber-Physical Systems
Artificial Intelligence embedded in the development and modelling of evolving open architecture Cyber-Physical Systems
A highly visible industry speaker is being invited to contribute to the international workshop (pending).