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About

Homayun Kabir is an emerging researcher specializing in the Internet of Robotic Things (IoRT), multi-robot systems, and intelligent resource allocation for next-generation wireless networks. His work sits at a compelling intersection of robotics, communications technology, and artificial intelligence, addressing some of the most pressing challenges in connected autonomous systems. Kabir's most significant contribution is his highly cited 2023 survey on the Internet of Robotic Things for mobile robots, which has garnered 91 citations and has become an essential reference for researchers navigating the complex landscape of multi-robot systems, sensor integration, and communication technologies. This comprehensive work systematically maps the concepts, challenges, and future directions of IoRT — establishing him as a knowledgeable voice in this rapidly evolving field. Beyond survey work, Kabir has made notable technical contributions in dynamic resource management, developing deep reinforcement learning solutions — particularly Twin Delayed DDPG algorithms — for power allocation and mobility management in IoRT networks. His research on post-disaster communications demonstrates a commitment to socially impactful applications, exploring how robotic networks can support critical search-and-rescue operations following natural disasters. With a focused and growing publication record, Kabir represents a promising researcher advancing the frontier of intelligent, connected robotic systems.