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DATAMINE4.0 TERMINATED

Advanced Data Modeling and Analysis Applied to next Generation Industry 4.0 settings and the Internet of Things

Total Cost €

EC-Contrib. €

Partnership

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DATAMINE4.0 project word cloud

Explore the words cloud of the DATAMINE4.0 project. It provides you a very rough idea of what is the project "DATAMINE4.0" about.

winning communication epfl data originally statistical competences sciences engineering productivity food paradigms performance inspired computer science djukic switzerland ideally organizational datamine4 environment formal serbia spanish solutions statistics public months whereby phd telecommunications calibration researcher mobility natasa secondments competitive repeatability hidden combining career coming published she setting domains limited intelligence calibrate artificial unsatisfactory multidisciplinary industry urban sme formulas machine industrial advantage modeling optimization iris learning internet relationships union algorithms trainings causistic penetration scientific customized sarafijanovic line things existence big models continuation mining dr decades organization academic

Project "DATAMINE4.0" data sheet

The following table provides information about the project.

Coordinator	IRIS TECHNOLOGY SOLUTIONS, SOCIEDAD LIMITADA Organization address address: CALLE VELAZQUEZ, NO 94 PRIMERA PLANTA city: MADRID postcode: 28006 website: www.iris.cat contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.
Coordinator Country	Spain [ES]
Total cost	170˙121 €
EC max contribution	170˙121 € (100%)
Programme	1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
Code Call	H2020-MSCA-IF-2016
Funding Scheme	MSCA-IF-EF-SE
Starting year	2018
Duration (year-month-day)	from 2018-01-22 to 2020-01-21

Partnership

Take a look of project's partnership.

#	participants	country	role	EC contrib. [€]
1	IRIS TECHNOLOGY SOLUTIONS, SOCIEDAD LIMITADA IRIS TECHNOLOGY SOLUTIONS, SOCIEDAD LIMITADA Organization address address: CALLE VELAZQUEZ, NO 94 PRIMERA PLANTA city: MADRID postcode: 28006 website: www.iris.cat contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	ES (MADRID)	coordinator	170˙121.00

Map

Project objective

DATAMINE4.0 is an IF for Career Development for Natasa Sarafijanovic-Djukic, PhD in Computer/Communication Sciences obtained from EPFL, Switzerland, a researcher in statistical modelling originally from Serbia, whereby she will work in IRIS, a Spanish R&D and advanced engineering SME. The project will study the modeling and analysis of data coming from complex industrial and organizational applications, in order to identify hidden causistic relationships in order to calibrate production and organizational control systems. It is highly multidisciplinary combining data science, statistics, artificial intelligence, telecommunications, specific engineering and organizational domains and information technology processing competences. In line with new paradigms such as Industry 4.0 and the Internet of Things. Although machine learning paradigms have been in existence for several decades, their penetration in the industrial and public organization setting has been limited. The goal is to build calibration and optimization models using advanced statistical and machine learning methods and other artificial intelligence inspired algorithms, for applications in which existing methods have been unsatisfactory. This will have a big impact on productivity and repeatability of winning formulas for key industrial applications such as customized production, public sector applications (e.g. optimization of urban mobility), and food processing. This is in line with findings published by the European Union. The developed data mining solutions will greatly enhance the current performance of the selected applications, allowing them a competitive advantage over current methods. The work will be done in an applied R&D environment in line with the objective for Dr. Natasa Sarafijanovic-Djukic’s career continuation. An engineering approach will be ideally completed with 7 formal scientific trainings, including two academic secondments, each of 2 months.

Publications

List of publications.
year	authors and title	journal	last update
2019	David F. Nettleton, Dimitrios Katsantonis, Argyris Kalaitzidis, Natasa Sarafijanovic-Djukic, Pau Puigdollers, Roberto Confalonieri Predicting rice blast disease: machine learning versus process-based models published pages: , ISSN: 1471-2105, DOI: 10.1186/s12859-019-3065-1	BMC Bioinformatics 20/1	2020-01-30

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The information about "DATAMINE4.0" are provided by the European Opendata Portal: CORDIS opendata.