
University of Niš, Faculty of Electronic Engineering
University of Niš, Faculty of Electronic Engineering
8 Projects, page 1 of 2
Open Access Mandate for Publications and Research data assignment_turned_in Project2022 - 2025Partners:APPA, CYPRUS ENERGY AGENCY CEA, EVN MACEDONIA, University of Niš, Faculty of Electronic Engineering, FOUNDATION FOR INNOVATION AND RESEARCH - MALTA +7 partnersAPPA,CYPRUS ENERGY AGENCY CEA,EVN MACEDONIA,University of Niš, Faculty of Electronic Engineering,FOUNDATION FOR INNOVATION AND RESEARCH - MALTA,University of Zagreb, Faculty of Electrical Engineering and Computing,UCY,Saints Cyril and Methodius University of Skopje,UPM,UNIZG,UOM,University of NišFunder: European Commission Project Code: 101075747Overall Budget: 1,990,260 EURFunder Contribution: 1,990,260 EURTRANSIT aims to provide sustainable training and reskilling programmes for current and future generations on a multidisciplinary approach in renewable energy and fuel technologies, identifying global and local challenges to realise the large deployment ambitions, covering European level and all different stakeholders' levels. Specifically, through support measures and activities TRANSIT will dedicate its resources and educational materials to target groups of policymakers, regulators, innovators, industry, trade associations, universities and local communities, covering the various sectorial strategies under the European Green Deal. Therefore, the TRANSIT framework establishes (i) success stories and practices that are catalogued, retained and promoted in terms of circularity and sustainable aspects, (ii) develop a hands-on training approach to revamp industry-academic curricula, and (iii) establish a web-enabled platform for the innovative and interactive multidisciplinary programme from educational campaigns to hands-on courses. Validation of TRANSIT resources, tools, and materials including challenges, competitions and awards will pass through rigorous quality assurance that ensures that each material also takes into consideration gender balance, societal impact, and employment competencies. TRANSIT developed framework will ensure post-project life is addressed through scalability and replicability, including the deployment of the programme in partners countries through appropriate stakeholders and open access practices.
more_vert assignment_turned_in Project2014 - 2017Partners:TELEVIC RAIL NV*, IP.ACCESS LIMITED, Ubiwhere, FHG, NICTA +27 partnersTELEVIC RAIL NV*,IP.ACCESS LIMITED,Ubiwhere,FHG,NICTA,I2CAT,UPRC,INTRASOFT International,UB,ORION INNOVATIONS P.C.,IMINDS,University Of Thessaly,National Centre of Scientific Research Demokritos,University of Edinburgh,ALLBESMART LDA,University of Niš,Sirran Engineering Services,SRS,FERON TECHNOLOGIES PC,CELERWAY COMMUNICATION AS,IMEC,University of Niš, Faculty of Electronic Engineering,Simula Research Laboratory,TU Berlin,COSMOTE,Intracom Telecom (Greece),EURECOM,CSIRO,RED TECHNOLOGIES,UMA,UPMC,RUFunder: European Commission Project Code: 612050more_vert Open Access Mandate for Publications and Research data assignment_turned_in Project2024 - 2027Partners:University of Niš, Faculty of Electronic Engineering, University of Ferrara, IHP GMBH, University of NišUniversity of Niš, Faculty of Electronic Engineering,University of Ferrara,IHP GMBH,University of NišFunder: European Commission Project Code: 101160293Funder Contribution: 1,198,360 EURThe main goal of AIDA4Edge is to strengthen networking between the Coordinator (FEEUNI) and the advanced partners (IHP, UoM and UNIFE) from European institutions in order to enable FEEUNI to reach scientific and innovation excellence in the field of Edge AI (Artificial Intelligence). Fundamental and thriving research will tackle the issue of bringing complex AI algorithms to Edge devices with resource constrains in terms of memory, processing power, energy consumption and latency. To meet this challenge, the synergy of expertise of all partners will be exploited and an adaptive AI-enabled edge computing pipeline will be developed. UNIFE will contribute with the expertise in the field of optimization and tuning hyperparameters of ANN (Artificial Neural Network) utilizing probabilistic logic. IHP will be in charge of exploiting the advantages brought by multi-core AI accelerators in terms of power consumption and reliability. UoM will leverage the synergies between bio-inspired SNNs (Spiking Neural Networks) and ANNs, to maintain the accuracy of conventional ANNs and to exploit the input data sparsity through the asynchronous computational capabilities of bio-inspired SNNs. FEEUNI will bring the expertise in quantization, important for ANN compression and resource saving. By the knowledge transfer and the exchange of the best practice, networking will provide FEEUNI all knowledge it lacks. It will enable FEEUNI not only to empower research capacity, but also to become the center of excellence in the field of Edge AI and to raise the reputation and enhance research management capacities and administrative skills. This will strengthen and encourage FEEUNI team (with a lot of women involved) to apply to variety of new research calls and to boost progress in science and economy in Serbia and beyond, reducing the imbalance of research capabilities between developed European countries and Serbia.
more_vert Open Access Mandate for Publications assignment_turned_in Project2014 - 2015Partners:CPN, University of Niš, University of Belgrade, MATF, University of Kragujevac +2 partnersCPN,University of Niš,University of Belgrade,MATF,University of Kragujevac,IMP,University of Niš, Faculty of Electronic EngineeringFunder: European Commission Project Code: 633398Overall Budget: 181,679 EURFunder Contribution: 144,143 EURThe FLIRT proposes a project that is based on the idea that falling in love with science is just as exciting as falling in love with a real person, and shows how a passionate “crush” can develop into real love. Massive awareness campaign will include continuous coverage and media sponsorship of tens of media outlets, visits to schools, and a development complex interactive RN Community Hub. The RN activities will address to different target groups – the most important being youth aged 13 to 19. It will offer a wide range of indoor and outdoor activities, lasting from early afternoon until midnight, for different age groups, and a variety of personal tastes and interests. All of the activities will, however, evolve around the central point of the event – and that is Love. The project team will undertake a comprehensive impact assessment, aimed at measuring the baseline data indicating the public recognition of research and researchers in Serbia, and the popularity of scientific careers, and then measuring any changes that might occur over the course of the project.
more_vert assignment_turned_in Project2011 - 2013Partners:VAJOMAG, University of Niš, CIM Group (Serbia), EUROPLAN, FZI +4 partnersVAJOMAG,University of Niš,CIM Group (Serbia),EUROPLAN,FZI,University of Niš, Faculty of Electronic Engineering,ICCS,GAMA SYSTEM D.O.O.,InvestgradnjaFunder: European Commission Project Code: 262305more_vert
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