Projet MacSeNet (Horizon 2020, appel à projets 2014)
Action : Doctoral Networks
Panel : Information Science and Engineering
Statut du projet : CLOSED

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.

Mots clés : machine learning, sensing, nonlinear models, sparse representations, compressed sensing, brain imaging, inverse problems, audio signal processing, signal processing on graphs, physical models

Participants :
- University of Surrey (Royaume-Uni) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 546575.76 €
- Cedar audio ltd (Royaume-Uni) — Partner, organization partner, Organismes privés (hors enseignement), subvention : 0.0 €
- Bioiatriki sa (Grèce) — Partner, organization partner, Organismes privés (hors enseignement), subvention : 0.0 €
- Songquito ug (haftungsbeschränkt) (Allemagne) — Partner, organization partner, Organismes privés (hors enseignement), subvention : 0.0 €
- Board of the Swiss Federal Institutes of Technology (Suisse) — Partner, organization partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- University of Edinburgh (Royaume-Uni) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 546575.76 €
- Noiseless imaging oy (Finlande) — Partner, beneficiary, Organismes privés (hors enseignement), subvention : 269145.36 €
- Instituto de Telecomunicações (Portugal) — Partner, beneficiary, Recherche, subvention : 476712.72 €
- Technical University of Munich (Allemagne) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 498432.96 €
- Tampere University (Finlande) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 269145.36 €
- Audio analytic ltd. (Royaume-Uni) — Partner, organization partner, Organismes privés (hors enseignement), subvention : 0.0 €
- General Electric (Germany) (Allemagne) — Partner, organization partner, Organismes privés (hors enseignement), subvention : 0.0 €
- Fraunhofer Society (Allemagne) — Partner, beneficiary, Recherche, subvention : 249216.48 €
- Visiosafe sa (Suisse) — Partner, organization partner, Organismes privés (hors enseignement), subvention : 0.0 €
- Ministry of Education and Religious Affairs (Grèce) — Partner, beneficiary, Recherche, subvention : 484773.84 €
- Institut national de recherche en sciences et technologies du numérique (France) — Partner, beneficiary, Recherche, subvention : 525751.2 €