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MacSeNet SIGNED

Machine Sensing Training Network

Total Cost €

0

EC-Contrib. €

0

Partnership

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 MacSeNet project word cloud

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

models    data    software    imaging    sensing    academic    entrepreneurial    machine    esrs    network    train    innovative    skills    efficient    signals   

Project "MacSeNet" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITY OF SURREY 

Organization address
address: Stag Hill
city: GUILDFORD
postcode: GU2 7XH
website: www.surrey.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 3˙866˙329 €
 EC max contribution 3˙866˙329 € (100%)
 Programme 1. H2020-EU.1.3.1. (Fostering new skills by means of excellent initial training of researchers)
 Code Call H2020-MSCA-ITN-2014
 Funding Scheme /MSCA-ITN-ETN
 Starting year 2015
 Duration (year-month-day) from 2015-01-01   to  2018-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITY OF SURREY UK (GUILDFORD) coordinator 546˙575.00
2    THE UNIVERSITY OF EDINBURGH UK (EDINBURGH) participant 546˙575.00
3    INSTITUT NATIONAL DE RECHERCHE ENINFORMATIQUE ET AUTOMATIQUE FR (LE CHESNAY CEDEX) participant 525˙751.00
4    TECHNISCHE UNIVERSITAET MUENCHEN DE (MUENCHEN) participant 498˙432.00
5    INSTITOUTO TECHNOLOGIAS YPOLOGISTONKAI EKDOSEON DIOFANTOS EL (PATRAS) participant 484˙773.00
6    INSTITUTO DE TELECOMUNICACOES PT (GLORIA E VERA CRUZ) participant 476˙712.00
7    NOISELESS IMAGING OY FI (TAMPERE) participant 269˙145.00
8    TTY-SAATIO FI (TAMPERE) participant 269˙145.00
9    FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V. DE (MUNCHEN) participant 249˙216.00
10    Audio Analytic Ltd. UK (Ross-on-Wye) partner 0.00
11    Bioiatriki SA EL (Athens) partner 0.00
12    CEDAR Audio Ltd UK (Fulbourn) partner 0.00
13    ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE CH (LAUSANNE) partner 0.00
14    GENERAL ELECTRIC DEUTSCHLAND HOLDING GMBH DE (FRANKFURT AM MAIN) partner 0.00
15    Songquito UG (haftungsbeschränkt) DE (Erlangen) partner 0.00
16    VisioSafe SA CH (LAUSANNE) partner 0.00

Mappa

 Project objective

The aim of this Innovative Training Network is to train a new generation of creative, entrepreneurial and innovative early-stage researchers (ESRs) in the research area of measurement and estimation of signals using knowledge or data about the underlying structure. With its combination of ideas from machine learning and sensing, we refer to this research topic as “Machine Sensing”. We will train all ESRs in research skills needed to obtain an internationally-recognized PhD; to experience applying their research a non-Academic sector; and to gain transferrable skills such as entrepreneurship and communication skills. We will further encourage an open “reproducible research” approach to research, through open publication of research papers, data and software, and foster an entrepreneurial and innovation-oriented attitude through exposure to SME and spin-out Partners in the network. In the research we undertake, we will go beyond the current, and hugely popular, sparse representation and compressed sensing approaches, to develop new signal models and sensing paradigms. These will include those based on new structures, nonlinear models, and physical models, while at the same time finding computationally efficient methods to perform this processing. We will develop new robust and efficient Machine Sensing theory and algorithms, together methods for a wide range of signals, including: advanced brain imaging; inverse imaging problems; audio and music signals; and non-traditional signals such as signals on graphs. We will apply these methods to real-world problems, through work with non-Academic partners, and disseminate the results of this research to a wide range of academic and non-academic audiences, including through publications, data, software and public engagement events.

 Work performed, outcomes and results:  advancements report(s) 

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

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