*Topics*
Topics of interest include, but are not limited to, applications of data-based computational techniques in the context of industry, such as:
- Automatic inference of dynamical mathematical models of industrial plants
- Evolutionary Algorithms for automatic model selection and identification of industrial plants
- Predictive Maintenance and Condition Monitoring applications
- Computational Methods for Safety and Security in Industry
- Machine Learning, Data Mining, and Computer Vision applications for industry
- Big Data Management in industry applications
- Process Modeling for Real Time Simulation and Control
- Numerical Methods for Multiphysics Process Simulation

*Instructions for authors*
Submitted papers will be subject to stringent peer review by experts and carefully evaluated based on originality, significance, technical soundness, and clarity of exposition. Accepted papers will appear in the Conference proceedings to be published by Springer-Verlag in Lecture Notes for Computer Science.
The submitted paper must be between 10 to 16 pages long in LNCS format.