Transnational secondments and training sessions in 8 selected Priority Research Fields 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.
Contribute to the development of industry-relevant research topics, to comply with customer and legal requirements
Actions for Excellence in Smart Cyber-Physical Systems applications through the exploitation of Big Data methodologies and techniques
Environmental dynamism in enterprises, high degree of fault-tolerance and unconditional system responsivity
Journal publication (2015)
Ilie-Zudor, E.; Ekárt, A.; Kemény, Zs.; Buckingham, C.D.; Welch, P.G.; Monostori, L.: Advanced predictive-analysis-based decision support for collaborative logistics networks, Supply Chain Management: An International Journal, vol. 20, no. 4, pp. 369-388, 2015, (ISSN: 1359-8546) (DOI: 10.1108/SCM-10-2014-0323)
Download : http://www.emeraldinsight.com/doi/full/10.1108/SCM-10-2014-0323
The 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2016) will be held at Hotel Intercontinental Budapest. SMC 2016 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report up-to-the-minute innovation and development, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics.
Date: 14 March 2016, from 9.00am to 16.00pm
Venue: Madou Tower, Auditorium -1, Place Madou, Brussels, Belgium
On Monday 14 March 2016, EXCELL representatives from KU Leuven and Aston University will participate in the Twinning Coordinators’ Day organized by the European Commission in Brussels.
Journal publication (2016, January)
Preuveneers, D.; Berbers, Y.; Joosen, W.: SAMURAI: A batch and streaming context architecture for large-scale intelligent applications and environments, Journal of Ambient Intelligence and Smart Environments, vol. 8, no. 1, pp. 63-78, 2016, (ISSN: 1876-1364) (DOI: 10.3233/AIS-150357)
Short description: Advanced predictive-analysis-based decision support for collaborative logistics networks. Cognitive models of decision making in logistics.
Place: Birmingham, UK
Date(s): 3 February 2016
Participants: Aston
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 691829.
Institute for Computer Science and Control, Hungarian Academy of Sciences
Fraunhofer-Gesellschaft zur Förderung der Angewandten Forschung e.V. (FhG) - Institute for Applied Information Technology FIT
Aston University
KU Leuven
