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NTUU "KPI"

National Technical University of Ukraine Kiev Polytechnic Institute
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18 Projects, page 1 of 4
  • Funder: European Commission Project Code: 225546
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  • Funder: European Commission Project Code: 101112824
    Overall Budget: 9,352,550 EURFunder Contribution: 7,893,480 EUR

    The Mediterranean Sea and its surrounding regions support a diverse variety of essential socioeconomic activities. It is one of the highly exploited water ways and the influence of anthropogenic activities on its marine habitats and ecosystems has grown significantly since the industrial revolution. Because of this, the Mediterranean Sea basin is very vulnerable to chemical contamination and buildup. To safeguard the Mediterranean Sea basin from contaminants for emerging concerns (CoEC), iMERMAID will integrate, coordinate, and synergize innovative preventive, monitoring, and remediation solutions. iMERMAID will build an evidence-based multidimensional framework that will guide policymaking and transform societal perceptions to reduce CoEC usage, emissions, and pollution. Furthermore, next generation sensor and remediation solutions will be developed within iMERMAID to monitor and remove prioritized chemicals from its source while reducing upstream pollution. iMERMAID builds an ideal interdisciplinary team by bringing together prominent SMEs, researchers, regulators, and innovation professionals who have been essential in improving the knowledge and awareness of CoEC. Beyond state-of-the-art techniques, iMERMAID will strive to strengthen regulations against CoEC, expand economic possibilities and competitiveness, improve the standard of living for EU residents, while preventing the accumulation of chemical pollution in the Mediterranean Sea basin. iMERMAID will empower the efforts to create a zero pollution, contaminant free waters by enabling the Chemical Strategy's goals to become a practical reality.

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  • Funder: European Commission Project Code: 101017453
    Overall Budget: 8,479,900 EURFunder Contribution: 8,479,900 EUR

    AI-empowered Personalized Medicine promises to find tailored, targeted, nearly “hand-made” cures for patients. Cancer treatment desperately needs boosters to find tailored, targeted cures for patients and Personalized Medicine can play a crucial role. Tailored targeted therapies in cancer treatment are already a reality but the current practice of targeted therapies in cancer treatment has been derived with traditional methods of data analysis. AI-empowered Personalized Medicine may help to bring targeted therapies to the next level. However, no matter how precise it is, no matter how many lives it can save in principle, and no matter if it can utilize the entire medical knowledge. If clinicians do not understand its suggestions and decisions, AI-empowered Personalized Medicine will not be a game changer, clinicians will not use it to make everyday decisions and, thus, it is doomed to fail. Hence, the real challenge is building AI-empowered Personalized Medicine systems that can be accepted by clinicians and clinical researchers. In KATY, we grasp the above challenge and we propose an AI-empowered Personalized Medicine system that can bring medical “AI-empowered knowledge” to the tips of the fingers of clinicians and clinical researchers. The AI-empowered knowledge is a human interpretable knowledge that clinicians and clinical researchers can: understand, trust and effectively use in their everyday working routine. KATY is then a AI-empowered Personalized Medicine system built around two main components: A Distributed Knowledge Graph and A pool of eXplainable Artificial Intelligence predictors. As a stress test and due to the lack of personalized clinical responses, KATY will be experimented in a low prevalence and complex cancer: Clear cell renal cell carcinoma (ccRCC).

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  • Funder: European Commission Project Code: 101130495
    Funder Contribution: 7,897,420 EUR

    EU-TRAINS aims to reinforce the supply chain on sensors for biomechanics and cardiovascular system real-time monitoring targeting applications in the fields of fitness and healthcare. It leverages from the strength of EU digital microsystem and design to support a 100% made-in-Europe supply chain of solutions which encompass smart-textile integration as well as advanced AI-based edge-cloud data processing. In details the following outcomes are foreseen: - Textile integrated electronic systems for real-time monitoring of hearth, respiratory and movement parameters on-the-air and in-water through an interdisciplinary approach; - Semiconductor technologies which allow the re-use of micro-nano systems both in the sports and in the healthcare sectors; - Miniaturized devices allowing the capturing of bio-chemical parameters able to withstand harsh ambient conditions such as salt fogs, chlorine, detergents, high and low temperatures, etc. The following key activities are targeted: - Development, prototyping and demonstration of versatile sensors with edge AI features for improved precision and reliability, that can also be integrated in textiles as well as in smart wearable wrist-watches and in sport equipment and gears targeting also underwater applications; - Cloud-edge Artificial Intelligence combined approaches for reliable diagnosis of body parameters. This will comprise sensor’s self-learning, remote update, multi-sensing approaches based on sensor arrays; - Novel materials that support electronics printing in textiles with stretchability and self-healing capabilities. Societal benefits are foreseen in the transition to a healthier lifestyle by promoting regular physical activity through affordable tools and services for a large audience, including people with disabilities. Moreover, this will impact the smart/remote-healthcare sector which will benefit of the availability of low-cost microfabricated solutions for intelligent, versatile, connected body sensors.

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  • Funder: European Commission Project Code: 561592-EPP-1-2015-1-FR-EPPKA2-CBHE-JP
    Funder Contribution: 767,509 EUR

    The main aim of the project is to improve Master Programme in Information Systems (MPIS) according to the needs of the modern society; to bring the universities closer to changes in global labour market and world education sphere; to enable them to stay responsive to employers’ needs; to give students an idea of various job profiles in the IS domain; to ensure employability throughout graduates’ professional and soft skills. Specific objectives of the project include improvement of Master Programme in IS according to the requirements of business; modernization of the current Degree Profile (DP) & curricula in IS. Degree Profile and Curricula revision will be implemented in accordance with the newest standards of Higher education and the compatibility with the National qualification frameworks; development of innovative academic environment for MPIS as a platform for training/retraining, PhD, LLL; provision/modernization of labs infrastructure for IS.MASTIS will enable the PC & EU Universities to modernize IS education based on the student-oriented principals, strong university-enterprise cooperation and modern approaches to the education. It will give the PC Universities an opportunity to prepare competitive specialists for Ukrainian, Montenegrin and global labour market.The following results of the project are considered major: MPIS Degree Profile & curriculum; teaching materials for MPIS; Degree Profile & curricula revision mechanism; joint Double Diploma Master programme; IT environment in PC HEIs; web portal for stakeholders; network of EU-PC universities & employers.In both partner countries and at the european level the impact of the project will take the form of university-enterprise networking. Both HEIs in general and business representatives will benefit from it because in global sense it will affect the development of national IT industry due to saturation of the labour market with quality IT professionals.

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