Research

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Research Collaboration and Mobility for Beyond 5G Future Wireless Networks – “RECOMBINE”

Future wireless networks (FWNs) will need to efficiently and flexibly provide diversified services such as enhanced mobile broadband access, ultra-reliable low-latency communications (URLLC), and massive machine-type communications . RECOMBINE joins the scientific excellence and expertise of key academic and industrial players into a joint collaborative effort to build the framework for the design of FWNs beyond 5G that are able to support […]

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MObility and Training fOR beyond 5G Ecosystems – “Motor5G”

The main objective of the project MOTOR5G is to motivate and skill competitive young researchers through involvement and engagement in a variety of research activities enabling them to work on real-life technical issues, across multiple European countries and organizations, and providing a strong networking opportunity through participation as speakers in conference and workshop events and through engagement with industry and other stakeholders

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Capacity building and ExchaNge towards attaining Technological Research and modernizing Academic Learning – “CENTRAL”

CENTRAL aims at developing and implementing academic educational curricula with an international orientation in content and/or form, which is integrated with digital tools technology and is aimed at preparing students for performing (professionally/socially) in an international and multicultural context and designed for domestic and/or foreign (international) students. CENTRAL is aimed at enabling employability, internationalisation and

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Twinning for Enhancing Capacity and Research Excellence in Holographic Telepresence Systems as a Catalyst of Digitalisation – “HOLOTWIN”

HOLOTWIN aims to strengthen and stimulate the research excellence and innovation capacity of the Technical University of Sofia (TUS) in technologies for holographic telepresence systems (HTPS). The twinning will activate a process of knowledge transfer towards TUS (Bulgaria), which leverages on the academic and research excellence at AU (Denmark), UNiS (UK) and Hellenic American University

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Inference algorithms for semantic knowledge extraction based on deep architectures for context-aware holographic communication

The goal of the project is to develop inference algorithms for semantic knowledge extraction based on deep architectures for context-aware HC by analyzing and combining effective methods and algorithms for 3D human body model acquisition; developing semantic knowledge extraction with deep neural networks to predict human behavior, including analysis of biometric modalities; developing methods for

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