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About

Alexander Paramonov is a researcher at the forefront of communication systems for robotics, telepresence, and the Internet of Things (IoT). His work focuses on solving critical challenges in data transmission for multi-agent robotic systems and immersive virtual environments. Paramonov’s key contributions include proposing self-organizing communication networks for multi-robot systems that use dual radio channels to separate control signals from high-bandwidth video data, ensuring reliable coordination. He has also developed optimized data transmission and signal processing methods for telepresence suits in the metaverse, addressing the need for seamless, real-time sensory feedback between users and their virtual avatars. His research extends to traffic distribution in heterogeneous high-density IoT networks, where he models complex communication channels combining radio, optical, and acoustic technologies. With over 30 citations across his most-cited works, Paramonov’s impact is evident in his foundational papers on IEEE 802.11 standards for robotic communication and his design of a model network for telepresence services, which integrates terabit cores, holographic displays, and 3D technologies for research and education. His work is essential for advancing reliable, low-latency communication in robotics and immersive systems.