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
EXCELL will be part of the Sustainability workshop to be held on 18th October 2017 in Vienna, a collaborative workshop for assessment of financing mechanisms and partnership building.
Main topics will be dedicated (but not limited) to "Inclusivity and diversity in engineering and science workshop", and "Assessment of financing mechanisms and partnership". building workshops
The afternoon session of EXCELL consortium meeting in Birmingham on Wednesday 11th, May 2017, will be dedicated to a Workshop on Diversity in Engineering.
Aim of the workshop is to discuss issues related to:
Short description: The new European General Data Protection Regulation (GDPR) strengthens and unifies data protection regulations for individuals within the European Union. Starting from May 2018, all companies operating within the EU need to comply. Failure to do so can result in penalties of 4% of their worldwide turnover. Despite the urgency of industry adoption, many companies struggle to grasp the concrete impact of the GDPR. Additionally, legal and technological support to implement the GDPR in practice are lacking.
Short description: Digitalization causes a radical transformation of industries, providing unique opportunities for value creation and competitive advantage. Software-defined networking (SDN), often combined with network function virtualization (NFV), is now reshaping the datacenter and telecom landscape. The complexity of new networking technologies is often perceived as a threat, but SDN offers an opportunity to increase efficiency, to create innovative offerings for customers and to (re-)conquer the market.
Short description: Combining Human Expertise and Machine Learning for Intelligent Transportation Resource Management
Place: Edinburgh, UK
Date: 17-21 September 2016
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
