Slavcho Neshev
PhD Student
Augmented Reality
Research keyword.
HOLOTWIN: A Modular and Interoperable Approach to Holographic Telepresence System Development
Ivaylo Bozhilov, Radostina Petkova, Krasimir Tonchev, Agata Manolova, Vladimir Poulkov.
Sensors 2023.
The HOLOTWIN project: Holographic telepresence combining 3D imaging, haptics and AI
Vladimir Poulkov, Agata Manolova, Krasimir Tonchev, Nikolay Neshov, Nicole Christoff, Radostina Petkova.
2023 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT & NCON)
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RECONNECTION – futuRE COmmunication Networks aNd tEChnologies for Tactile Internet applicatiONs
The project focuses on addressing the unique challenges of enabling ultra-low latency communication for emerging data-intensive applications such as Extended Reality (XR), highly dependable machine-to-machine (M2M), and human-to-machine interaction. These technologies demand near-instantaneous data processing and transmission for the development of real-time interactive systems, capable of delivering remote tactile experiences and merging physical and virtual
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
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