The International Workshop on Engineering Data- & Model-driven Applications
10th IEEE International Conference on Cyber, Physical and Social Computing
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.
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).
All submissions will be peer-reviewed; all accepted papers will be included in the IEEE CPSCom-2017 conference proceedings published by IEEE Computer Society Press and indexed in IEEE Xplore. At least one of the authors of any accepted paper is requested to register the paper at the conference.
Selected papers in substantial extended form will be considered for publication in a Special Issue of the Expert Systems journal (IF: 0.947).
|EDMA-01||A Noise-Resilient Sparse Subspace Clustering Algorithm for Image Sequences||Liping Chen, Gongde Guo, Hui Wangemail@example.com|
|EDMA-02||Prediction of High-Speed Train Wheel Wear Using NAR and BP Neural Networks||Ning Fan, Shuwen Wang, Caixia Liu, Xiaoming Liufirstname.lastname@example.org|
|EDMA-03||Towards an Integrated Approach to Verification and Model-Based Testing in System Engineering||Raluca Lefticaru, Savas Konur, Unal Yildirim, Amad Uddin, Felician Campean, Marian Gheorgheemail@example.com|
|EDMA-04||Manual Collate and Pack Area Completion Time Estimation for POS and POP Manufacturing Scheduling||Longzhi Yang, Jie Li, Phil Hackney, Fei Chao, Mark Flanaganfirstname.lastname@example.org|
|EDMA-05||Automatic Approaches for CE-MRI Examination of the Breast: A Survey||Franco Alberto Cardillo, Francesco Masulli, Stefano Rovettaemail@example.com|
|EDMA-06||Towards a Data Quality Framework for Heterogeneous Engineering Data||Natasha Micic, Daniel Neagu, Felician Campean, Esmaeil Habib Zadeh||N.Micic@bradford.ac.uk|
|Paper Submission Deadline:||3 April 2017|
|Authors Notification:||22 April 2017|
|Camera-Ready Paper Due:||15 May 2017|
|Early Registration Due:||15 May 2017|
|Conference Date:||21-23 June 2017|
- Professor Felician Campean (University of Bradford, UK)
- Professor Marian Gheorghe (University of Bradford, UK)
- Dr Jon G Hall (Open University, UK)
- Professor Daniel Neagu (University of Bradford, UK)
- Dr Fei Chao, Xiamen University, China
- Dr David Baglee, University of Sunderland, UK
- Professor Francesco Masulli, University of Genova, Italy
- Professor Gongde Guo, Fujian Normal University, China
- Dr Savas Konur, University of Bradford, UK
- Dr Longzhi Yang, Northumbria University, UK
- Dr Paul Trundle, University of Bradford, UK
- Professor Qiang Shen, Aberystwyth University, UK
- Dr Raluca Lefticaru, Universiyu of Bradford, UK
- Dr Stefano Rovetta, University of Genova, Italy
- Dr Taufiq Asyhari, Cranfield University, UK
- Dr Vasile Palade, Coventry University, UK
- Professor Yonghong Peng, University of Sunderland, UK
- Professor Shuwen Wang, The University of Shanghai for Science and Technology, China