UBITECH is hosting the kick-off meeting, in Athens, Greece (January 16-17, 2018) of the ICARUS Big Data Value PPP Innovation Action, officially started on January 1st, 2018– undertaking the consortium management and coordination of the research project’s activities. The project is funded by European Commission under Horizon 2020 Programme (Grant Agreement No. 780792) and spans on the period January 2018 – December 2020. The ICARUS project aims to build a novel data value chain in the aviation-related sectors towards data-driven innovation and collaboration across currently diversified and fragmented industry players, acting as multiplier of the “combined” data value that can be accrued, shared and traded, and rejuvenating the existing, increasingly non-linear models / processes in aviation.
Using methods such as big data analytics, deep learning, semantic data enrichment, and blockchain powered data sharing, ICARUS will address critical barriers for the adoption of Big Data in the aviation industry (e.g. data fragmentation, data provenance, data licensing and ownership, data veracity), and will enable aviation-related big data scenarios for EU-based companies, organizations and scientists, through a multi-sided platform that will allow exploration, curation, integration and deep analysis of original, synthesized and derivative data characterized by different velocity, variety and volume in a trusted and fair manner.
UBITECH actively participates in the kick-off meeting, in Valencia, Spain (November 28, 2017) of the RB-LOG EUROSTARS project, officially started on November 1st, 2017 – undertaking the leadership and coordination of the project’s Cypriot node. The project is funded by European Commission under Horizon 2020 Programme (Grant Agreement No. E! 11553) and spans on the period November 2017 – April 2020. The RB-LOG project aims to develop a new, cost-effective, robotic indoor transport solution that will be specially suited for small residences, hotels, supermarkets/warehouses and other small semi-structured buildings and will automate the transport process and free workforce for tasks that entail higher added value. The aforementioned goal will be achieved through the development of a cost-effective fleet of robots governed by a flexible and easily adaptable to a diverse range of architectures and building operating models Fleet Management System performing autonomous indoor logistic transport at small buildings of semi structured human environments, including but not limited to hospitals, clinical sites, care centers, hotels, restaurants, company premises and retail shops.
UBITECH actively participates in the kick-off meeting, in Brussels, Belgium (September 27-28, 2017) of the UPTIME H2020 Innovation Action, officially started on September 1st, 2017 – undertaking the technical leadership of the research project’s activities. The project is funded by European Commission under Horizon 2020 Programme (Grant Agreement No. 768634) and spans on the period September 2017 – August 2020. The UPTIME project aims to reframe predictive maintenance strategy in a systematic and unified way so as to fully exploit the advancements in ICT and maintenance management by examining the potential of big data in an e-maintenance infrastructure, to deliver novel e-maintenance services and tools to support the daily work of maintenance engineers as well as the overall maintenance management with the aim to optimize in-service efficiency, and to analyse and widely exploit results generated from the use of UPTIME solution in order to show its benefits to manufacturing companies for maintenance utility maximization along with industrial operations management improvement.
In the frame of the 26th International Electrotechnical and Computer Science Conference (ERK 2017), which takes place these days (September 26-27, 2017) in Congress Center Bernardin, Portorož, Slovenia, and is organized by the IEEE Slovenia Section together with Faculty of Electrical Engineering University of Ljubljana and other Slovenian professional societies, researchers from UBITECH and SINTEF contrast the OASIS TOSCA standard with the sophisticated ARCADIA framework, which provides developers with an integrated tool chain that reconciles IDE, service orchestrator and monitoring platform, and presents how to use TOSCA to describe ARCADIA orchestrations, and how the lessons learnt building the ARCADIA framework could benefit to future versions of TOSCA.
A scientific paper entitled “Utilizing High Performance Computing Techniques for Efficiently Anonymizing Sensitive Patient Data” has been co-authored by UBITECH and published at the Collaborative European Research Conference CERC 2017 that is held in Karlsruhe, Germany at September 22-23, 2017. In this paper, UBITECH presents how High Performance Computing (HPC) enhances the adoption of Data Cubes technology for the anonymization of large sets of patient data in order to be able to cope with very large data sets. Indeed, in the case of genetic data, it may be possible that the size of original data may become very big, since the gene expression information or Single Nucleotide Polymorphisms (SNPs) that need to be recorded per patient may be in the order of hundreds of thousands.
UBITECH’s R&D Director, Dr. Panagiotis Gouvas, participates in the 2nd NMIOTC Cyber Security Conference, that is organized by the NATO Maritime Interdiction Operational Training Centre and takes place on September 21-22, 2017 in Souda Bay, Greece, and demonstrates the capabilities of the OLISTIC Enterprise Risk Management Suite with regard to protecting, defending and fortifying maritime stakeholders (e.g. ports, shipping companies, logistics centers) against cyberattacks. The OLISTIC demo has attracted the attendance of representatives of the North Atlantic Treaty Organization, the European Commission, the European Defense Agency, the US Navy, the French Navy, the Hellenic National Defence General Staff, the Hellenic Navy, the shipping and maritime logistics industry and the academia.
In the frame of the First International Workshop on Softwarized Infrastructures for 5G and Fog Computing (
Following a peer-review process, Sensors MDPI Journal has accepted to publish a scientific manuscript, authored by UBITECH, University of Murcia and STI Innsbruck, entitled “Providing Personalized Energy Management and Awareness Services for Energy Efficiency in Smart Buildings”. Eleni Fotopoulou, Tassos Zafeiropoulos, George Tsiolis, Panagiotis Gouvas and their co-editors present an innovative energy-aware information technology ecosystem, which supports the design and development of novel personalized energy management and awareness services that can lead to occupants’ behavioral change towards actions that can have a positive impact on energy efficiency.
The 
