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IoT4Win SIGNED

Internet of Thing for Smart Water Innovative Networks

Total Cost €

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EC-Contrib. €

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Partnership

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Project "IoT4Win" data sheet

The following table provides information about the project.

Coordinator
BIRMINGHAM CITY UNIVERSITY 

Organization address
address: 15 BARTHOLOMEW ROW
city: BIRMINGHAM
postcode: B5 5JU
website: www.bcu.ac.uk

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 United Kingdom [UK]
 Total cost 761˙357 €
 EC max contribution 761˙357 € (100%)
 Programme 1. H2020-EU.1.3.1. (Fostering new skills by means of excellent initial training of researchers)
 Code Call H2020-MSCA-ITN-2017
 Funding Scheme MSCA-ITN-EID
 Starting year 2018
 Duration (year-month-day) from 2018-03-01   to  2022-02-28

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    BIRMINGHAM CITY UNIVERSITY UK (BIRMINGHAM) coordinator 546˙575.00
2    SINGULARLOGIC ANONYMI ETAIREIA PLIROFORIAKON SYSTIMATON KAI EFARMOGON PLIROFORIKIS EL (NEA KIFISIA) participant 214˙781.00
3    SINGULARLOGIC ROMANIA COMPUTER APPLICATIONS SRL RO (BUCURESTI) participant 0.00

Map

 Project objective

The IoT4Win will establish a European Industrial Doctorates (EID) training program and extend the traditional academic research training setting, equipping researchers with right combination of research-related and transferable competences, joint research training programme combines an interdisciplinary expertise of European research group, industry partners and user organisations, bring together all required knowledge, skills, and stakeholders to offer a comprehensive set of transferable skills and a training programme on ICT, data science and water engineering, including industry practice and longer-term benefit in further industrial partner collaborations and further knowledge transfer. IoT4Win will respond to well defined and interdisciplinary scientific questions and challenges on IoTs for Smart Water Network (SWN) technological area cooperating to recruit 3 ESRs to undertake research in the context of a joint research training on concepts and methodologies of IoT enabled SWN towards the PhD. IoT4Win designs 3 individual and personalised research projects covering the core SWN research areas, i.e. smart sensing and trusted communication within energy limited heterogeneous devices in IoT enabled urban water environment; dynamic sensor web and interoperable open platform with Integrated Knowledge Management for smart water networks; data security and intelligence in IoT enabled SWN. The interdisciplinary collaborations and cross industrial interactions between ICT and water sector, will expose researchers to the academic, non-academic sectors. By combining three projects, an interoperable, secure and intelligent underlying technology leading to an open platform for IoT enabled SWN applications will be developed. This platform will then be applied to and evaluated in the real water scenarios with our end user industrial partner, leading to a specialised technology platform for SWN and a best-practice smart water network demonstrator.

 Publications

year authors and title journal last update
List of publications.
2019 Shahra, Essa; Wu, Wenyan
Dynamic Water Quality Sensor Placement in Water Distribution System Using an Evolutionary Algorithm
published pages: 1-2, ISSN: , DOI: 10.5281/zenodo.3662528
Computing and Control for Water Industries 2019 Proceeding of CCWI2019 2020-04-24
2019 Hassan M. Mahmoud, Haitham; Wu, Wenyan
Cyber-Physical System Security Open Challenges in Smart Water Network
published pages: 1-2, ISSN: , DOI: 10.5281/zenodo.3661101
Computing and Control in water industires (CCWI2019 Proceeding of CCW!2019 2020-04-24

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The information about "IOT4WIN" are provided by the European Opendata Portal: CORDIS opendata.

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