The National Technical University of Athens , sometimes known as Athens Polytechnic, is among the oldest and most prestigious higher education institutions of Greece. It is named Metsovion in honor of its benefactors Nikolaos Stournaris, Eleni Tositsa, Michail Tositsas and Georgios Averoff, whose origin is from the town of Metsovo in Epirus.It was founded in 1837 as a part-time vocational school named Royal School of Arts which, as its role in the technical development of the fledgling state grew, developed into Greece's sole institution providing engineering degrees up until the 1950s, when polytechnics were established outside Athens. Its traditional campus, located in the center of the city of Athens on Patision Avenue, features a suite of magnificent neo-classical buildings by architect Lysandros Kaftantzoglou . A suburban campus, the Zografou Campus, was built in the 1980s.NTUA is divided into nine academic schools, eight being for the engineering disciplines, including architecture, and one for applied science . Undergraduate studies have a duration of five years. Admission to NTUA is highly selective and can only be accomplished through achieving exceptional grades in the annual Panhellenic Exams. It is a widely spread perception that the vast majority of each year's Panhellenic Exams top students interested in the science and technology opts to attend NTUA. The university comprises about 700 of academic staff, 140 scientific assistants and 260 administrative and technical staff. It also has about 8,500 undergraduates and about 1,500 postgraduate students. Eight of the NTUA's Schools are housed at the Zografou Campus, while the School of Architecture is based at the Patision Complex. Wikipedia.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: MG-4.3-2015 | Award Amount: 11.43M | Year: 2016
Most maritime products are typically associated with large investments and are seldom built in large series. Where other modes of transport benefit from the economy of series production, this is not the case for maritime products which are typically designed to refined customer requirements increasingly determined by the need for high efficiency, flexibility and low environmental impact at a competitive price. Product design is thus subject to global trade-offs among traditional constraints (customer needs, technical requirements, cost) and new requirements (life-cycle, environmental impact, rules). One of the most important design objectives is to minimise total cost over the economic life cycle of the product, taking into account maintenance, refitting, renewal, manning, recycling, environmental footprint, etc. The trade-off among all these requirements must be assessed and evaluated in the first steps of the design process on the basis of customer / owner specifications. Advanced product design needs to adapt to profound, sometimes contradicting requirements and assure a flexible and optimised performance over the entire life-cycle for varying operational conditions. This calls for greatly improved design tools including multi-objective optimisation and finally virtual testing of the overall design and its components. HOLISHIP (HOLIstic optimisation of SHIP design and operation for life-cycle) addresses these urgent industry needs by the development of innovative design methodologies, integrating design requirements (technical constraints, performance indicators, life-cycle cost, environmental impact) at an early design stage and for the entire life-cycle in an integrated design environment. Design integration will be implemented in practice by the development of integrated design s/w platforms and demonstrated by digital mock-ups and industry led application studies on the design and performance of ships, marine equipment and maritime assets in general.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: ICT-13-2016 | Award Amount: 11.65M | Year: 2017
The Fed4FIRE\ project has the objective to run and further improve Fed4FIREs best-in-town federation of experimentation facilities for the Future Internet Research and Experimentation initiative. Federating a heterogeneous set of facilities covering technologies ranging from wireless, wired, cloud services and open flow, and making them accessible through common frameworks and tools suddenly opens new possibilities, supporting a broad range of experimenter communities covering a wide variety of Internet infrastructures, services and applications. Fed4FIRE\ will continuously upgrade and improve the facilities and include technical innovations, focused towards increased user satisfaction (user-friendly tools, privacy-oriented data management, testbed SLA and reputation, experiment reproducibility, service-level experiment orchestration, federation ontologies, etc.). It will open this federation to the whole FIRE community and beyond, for experimentation by industry and research organisations, through the organization of Open Calls and Open Access mechanisms The project will also establish a flexible, demand-driven framework which allows test facilities to join during the course of its lifetime by defining a set of entry requirements for new facilities to join and to comply with the federation. FIRE Experimental Facilities generate an ever increasing amount of research data that provides the foundation for new knowledge and insight into the behaviour of FI systems. Fed4FIRE\ will participate in the Pilot on Open Research Data in Horizon 2020 to offer open access to its scientific results, to the relevant scientific data and to data generated throughout the projects lifetime. Fed4FIRE\ will finally build on the existing community of experimenters, testbeds and tool developers and bring them together regularly (two times a year) in engineering conferences to have maximal interaction between the different stakeholders involved.
Agency: European Commission | Branch: H2020 | Program: IA | Phase: ICT-22-2016 | Award Amount: 5.15M | Year: 2017
The key objective of our project is to bridge the gap between secondary schools and higher education and research by better integrating formal and informal learning scenarios and adapting both the technology and the methodology that students will most likely be facing in universities. We are focusing on the context of secondary schools, often referred to as high schools, which provide secondary education between the ages of 11 and 19 depending on the country, after primary school and before higher education. The learning context from the perspective of the students is the intersection of formal and informal spaces, a dynamic hybrid learning environment where synchronous activities meet in both virtual and real dimensions. For this, we propose to develop an innovative Up to University (Up2U) ecosystem based on proven experiences in higher education and big research that facilitates open, more effective and efficient co-design, co-creation, and use of digital content, tools and services adapted for personalised learning and teaching of high school students preparing for university. We will address project based learning and peer-to-peer learning scenarios. We strongly believe that all the tools and services the project is going to use and/or make available (i.e. incorporate, design, develop and test) must be sustainable after the lifetime of the project. Therefore, the project is going to develop business plans and investigate appropriate business models using the expertise of the Small Medium Enterprise and National Research and Education Network partners and their contacts with third-party business actors. Our plan is to make it easy for new schools to join the Up2U infrastructure and ecosystem that will form a federated market-place for the learning community.
Agency: European Commission | Branch: H2020 | Program: IA | Phase: ICT-14-2016-2017 | Award Amount: 3.57M | Year: 2017
The main objective of BigDataOcean is to enable maritime big data scenarios for EU-based companies, organisations and scientists, through a multi-segment platform that will combine data of different velocity, variety and volume under an inter-linked, trusted, multilingual engine to produce a big-data repository of value and veracity back to the participants and local communities. BigDataOcean aims to capitalise on existing modern technological breakthroughs in the areas of the big data driven economy, and roll out a completely new value chain of interrelated data streams coming from diverse sectors and languages and residing on cross technology innovations being delivered in different formats (as well in different states, e.g. structured/unstructured, real-time/batches) in order to revolutionise the way maritime-related industries work, showcasing a huge and realistic economic, societal and environmental impact that is being achieved by introducing an economy of knowledge into a traditional sector which does not operate in an orchestrated manner and is rather fragmented. This infrastructure will be combined with four strong pilots that will bring into BigDataOcean a huge amount of data (in TBs) in order to develop the largest maritime database as a resource of collaborative, data-driven intelligence. BigDataOcean will give participants the capability to upload both private and public resources of data, and interrelate them over public and private queries and diagrams. The BigDataOcean system backbone will be domain-agnostic and interoperable with the most popular and established data processing technologies and sensor types, and will be capable of conforming to various different operation systems that one can nowadays meet. Based on the consortiums early market analysis, the project will break even and will be viable from its start (2020) and will return the initial investment of EU-commission by 2025 (ROI).
Agency: European Commission | Branch: H2020 | Program: IA | Phase: WATER-1b-2015 | Award Amount: 10.74M | Year: 2016
The AquaNES project will catalyse innovations in water and wastewater treatment processes and management through improved combinations of natural and engineered components. Among the demonstrated solutions are natural treatment processes such as bank filtration (BF), managed aquifer recharge (MAR) and constructed wetlands (CW) plus engineered pre- and post-treatment options. The project focuses on 13 demonstration sites in Europe, India and Israel covering a repre-sentative range of regional, climatic, and hydrogeological conditions in which different combined natural-engineered treatment systems (cNES) will be demonstrated through active collaboration of knowledge and technology providers, water utilities and end-users. Our specific objectives are to demonstrate the benefits of post-treatment options such as membranes, activated carbon and ozonation after bank filtration for the production of safe drinking water to validate the treatment and storage capacity of soil-aquifer systems in combination with oxidative pre-treatments to demonstrate the combination of constructed wetlands with different technical post- or pre-treatment options (ozone or bioreactor systems) as a wastewater treatment option to evidence reductions in operating costs and energy consumption to test a robust risk assessment framework for cNES to deliver design guidance for cNES informed by industrial or near-industrial scale expe-riences to identify and profile new market opportunities in Europe and overseas for cNES The AquaNES project will demonstrate combined natural-engineered treatment systems as sus-tainable adaptations to issues such as water scarcity, excess water in cities and micro-pollutants in the water cycle. It will thus have impact across the EIP Waters thematic priorities and cross-cutting issues, particularly on Water reuse & recycling, Water and wastewater treatment, Water-energy nexus, Ecosystem services, Water governance, and DSS & monitoring.
Agency: European Commission | Branch: H2020 | Program: IA | Phase: WASTE-6a-2015 | Award Amount: 10.56M | Year: 2016
The main objective of this project is to move forward the current waste management practices into a circular economy motto, demonstrating the value of integrating and validating a set of 20 eco-innovative solutions that cover all the waste value chain. The benefits of these solutions will be enhanced by a holistic waste data management methodology, and will be demonstrated in 4 complementary urban areas in Europe. The eco-innovative solutions include technological and non-technological tools such as: a) IT tools to support the daily operation and long-term planning, b) Apps for citizens empowerment and engagement, c) Educational materials based on innovative teaching units and serious games, d) Tools for citizen science for the co-creation of novel solutions, e) Mechanisms to boost behavioral changes based on economic instruments and social actions, and f) Decentralized solutions for valorization and reuse of high value resources. The different solutions will be implemented in 4 complementary European areas: a) Zamudio (ES) is a highly industrialized area with a spread population that uses a separated kerbside collection; b) Halandri (GR) is a large suburban city with a wide range of business that has a very basic waste management system; c) Seveso (IT) is a residential town that uses a door-to-door system; d) and Cascais (PT) is an extensive and high touristic coastal town that implements an advanced collection system. The project includes a consortium of 19 partners with 4 public agencies and administrations, 3 research centers and universities, 8 SMEs, 2 LEs, 1 cluster and 1 NGO, that will work together during 36 months with an overall contribution from the EC of 9M.The most relevant expected impacts are: a 20% increase in waste sorting, 10% saving of management costs, and 10% reduction of GHG emissions. The experience gained, and the synergies among the partners describe the best possible scenario to launch new governance and business models.
Agency: European Commission | Branch: H2020 | Program: IA | Phase: ICT-14-2016-2017 | Award Amount: 3.94M | Year: 2017
AEGIS, brings together the data, the network & the technologies to create a curated, semantically enhanced, interlinked & multilingual repository for public & personal safety-related big data. It delivers a data-driven innovation that expands over multiple business sectors & takes into consideration structured, unstructured & multilingual datasets, rejuvenates existing models and facilitates organisations in the Public Safety & Personal Security linked sectors to provide better & personalised services to their users. AEGIS will introduce new business models through the breed of an open ecosystem of innovation & data sharing principles. From the technology perspective, AEGIS targets to revolutionise semantic technologies in big data, big data analytics & visualisations as well as security & privacy frameworks by addressing current challenges & requirements of cross-domain & multilingual applications. The main benefits derived from AEGIS to data identification, collection, harmonisation, storage & utilisation towards value generation for these sectors will be: Unified representation of knowledge; Accelerated, more effective & value-packed cycles of intelligence extraction & of services & applications development; Introduction of novel business models for the data sharing economy & establishment of AEGIS as a prominent big data hub, utilising cryptocurrency algorithms to validate transactions & handle effectively IPRs, data quality & data privacy issues though a business brokerage framework. Based on an early market analysis, the Total Addressable Market of AEGIS is up to $31bn (27.1bn); AEGIS is able not only to capture a portion of the market size, but also to expand the pie through creating additional uncaptured value based on small data integration in typical big data repositories & algorithms. Based on the same analysis, the project will break even & will be viable from its launch (2020) & will have a ROI investment of EU-commission in the first years.
Agency: European Commission | Branch: H2020 | Program: MSCA-ITN-ETN | Phase: MSCA-ITN-2016 | Award Amount: 3.84M | Year: 2017
A step change in our noise mitigation strategies is required in order to meet the environmental targets set for a number of sectors of activity affecting people through noise exposure. Besides being a hindrance to our daily life and subject to regulations, noise emission is also a competitive issue in todays global market. To address these issues, new technologies have been emerging recently, based on radically new concepts for flow and acoustic control, such as micro-electro-mechanical devices (MEMs), meta-materials, porous treatment of airframe surfaces, airfoil leading-edge or trailing-edge serrations, micro-jets, plasma actuation, Some of these new ideas appear nowadays promising, but it now appears to this consortium that the development and maturation of novel noise reduction technologies is hindered by three main factors. The first factor is an insufficient understanding of the physical mechanisms responsible for the alteration of the flow or acoustic fields. In absence of a phenomenological understanding, modelling and optimization can hardly be successful. Secondly, tight constraints (safety, robustness, weight, maintainability, etc.) are imposed to any novel noise mitigation strategy trying to make its way to the full-scale industrial application. Thirdly, there is an insufficient knowledge about the possibilities that are nowadays offered by new materials and new manufacturing processes. With this project, we intend to setup a research and training platform, focused on innovative flow and noise control approaches, addressing the above shortcomings. It has the following objectives: i) fostering a training-through-research network of young researchers, who will investigate promising emerging technologies and will be trained with the inter-disciplinary skills required in an innovation process, and ii) bringing in a coordinated research environment industrial stakeholders from the aeronautical, automotive, wind turbine and cooling/ventilation sectors.
Agency: European Commission | Branch: H2020 | Program: IA | Phase: ICT-22-2016 | Award Amount: 5.55M | Year: 2017
The overarching aim of the iRead project is to develop a software infrastructure of personalised, adaptive technologies and a diverse set of applications for supporting learning and teaching of reading skills. The specific goals of the project proposed are to: 1. Develop a scalable, cloud-based software infrastructure of open, interoperable components, including real-time user modelling and domain knowledge components, to support learning of reading skills by children with different abilities and linguistic backgrounds 2. Develop domain models for English, Greek, German and Spanish learners, and to contextualise those models with respect to skills and difficulties of (i) typically developing readers, (ii) English and Greek readers with dyslexia and (ii) learners of English as a Foreign language. The domain models will utilise and generalise the domain model implemented in a previous FP7 project iLearnRW 3. Develop applications for supporting learning (literacy games, interactive e-books, Reader app) that utilise the infrastructure to yield different types of personalised learning services and experiences 4. Develop and evaluate personalised content classification metrics that enable reading for use by electronic publishers and libraries 5. Enable orchestrated use of the learning applications (games, e-books, Reader app) based on learning analytics, and a personalised experience through adaptive support 6. Implement a number of large-scale evaluation pilots across European countries and providers in order to evaluate the pedagogical effectiveness of the iRead ecosystem.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: ICT-25-2016-2017 | Award Amount: 3.82M | Year: 2017
Imagine a scenario where multiple robots have been deployed to provide services such as object handling/transportation, or pickup and delivery operations. In such a context, different robots with varying capabilities must be coordinated in order to achieve various multi-tasking procedures. Thus, the effective supervision and coordination of the overall heterogeneous system mandates a decentralized framework that integrates high-level task-planning, low-level motion control and robust, real-time sensing of the robots dynamic environment. Current practice is at a great deal based on offline, centralized planning and related tasks are usually fulfilled in a predefined manner: this does not utilize the capabilities of the system to operate efficiently in a dynamic environment. In most cases, sudden changes in the environment, the type of tasks, and the need for coordination, would cause the system to halt, ask for human intervention and restart. Despite the fact that public facilities are in some degree prestructured, the need for a framework for decentralized, real-time, automated task (re)-planning is evident in a twofold manner: (i) it will pave the way to an improved use of resources and a faster accomplishment of tasks inside public facilities and workspaces with high social activity (ii) it will make an important contribution towards the vision of more flexible multirobot applications in both professional or domestic environments, also in view of the Industry 4.0 vision and the general need to deploy such systems in everyday life scenarios. Within Co4Robots our goal is to build a systematic methodology to accomplish complex specifications given to a team of potentially heterogeneous robots; control schemes appropriate for the mobility and manipulation capabilities of the considered robots; perceptual capabilities that enable robots to localize themselves and estimate the state of the dynamic environment; and their systematic integration approach.