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Actions for Excellence in Smart Cyber-Physical Systems applications through exploitation of Big Data in the context of Production Control and Logistics

Objective

EXCELL foresees the collaboration of academics from 4 EU countries (HU, DE, UK, BE) in the multidisciplinary topic of Big Data Applications for Cyber-Physical Systems in Production and Logistics Networks. The main scientific and innovation focus of EXCELL was devised both from world-wide tendencies and local requirements (expressed by the regional S3), departing from the present competences of the cooperating partners (SZTAKI, Fraunhofer-FIT, Aston, and KU Leuven).
Main project actions focus on:
• Knowledge acceleration through transnational secondments and training sessions in 8 selected Priority Research Fields (PRFs) and 6 Complementary Skills,
• Supporting exploitation of research results and user-driven innovation,
• Augmenting scientific impact actions through key publications and active participation in the scientific discourse,
• Dissemination and sustainable innovation.
The 8 PRFs are: 1.Cyber-Physical Systems and Human System Interaction (responsible Fraunhofer), 2.Business-based Internet of Things and Services (resp. Fraunhofer), 3.Next-generation Authentication and Authorization Solutions (resp. KU Leuven), 4.Enhanced Context-aware Services (resp. KU Leuven), 5.Cognitive modelling and social networking approaches (resp. ASTON), 6.Data mining (resp. ASTON), 7.Data interoperability (resp. SZTAKI), 8.Tracking and tracing (resp. SZTAKI).
The Complementary Skills include: Technology transfer and results deployment to industry, Emotional intelligence, Motivating others, Personal impact, Stress management for managers, and Hands-on experience by using and contributing to software tools.
EXCELL activities are aligned towards 4 major types of impact: 1. Scientific impact, 2. Industry-driven innovation and technology transfer, 3. Sustainability and exploitation, 4. General and societal engagement, enabling strategic growth in both cross-sector and cross-regional cooperation, and sustainable scientific capabilities of all staff/institutions involved.

Field of science

  • /social sciences/economics and business/economics/sustainable economy
  • /social sciences/sociology/governance/public services
  • /natural sciences/computer and information sciences/data science/big data
  • /natural sciences/computer and information sciences/data science/data mining

Call for proposal

H2020-TWINN-2015
See other projects for this call

Funding Scheme

CSA - Coordination and support action

Coordinator

SZAMITASTECHNIKAI ES AUTOMATIZALASI KUTATOINTEZET
Address
Kende Utca 13-17
1111 Budapest
Hungary
Activity type
Research Organisations
EU contribution
€ 317 875

Participants (3)

FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V.
Germany
EU contribution
€ 231 875
Address
Hansastrasse 27C
80686 Munchen
Activity type
Research Organisations
ASTON UNIVERSITY
United Kingdom
EU contribution
€ 225 650
Address
Aston Triangle
B4 7ET Birmingham
Activity type
Higher or Secondary Education Establishments
KATHOLIEKE UNIVERSITEIT LEUVEN
Belgium
EU contribution
€ 221 375
Address
Oude Markt 13
3000 Leuven
Activity type
Higher or Secondary Education Establishments