Jin Nakazato

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About

Jin Nakazato is a leading researcher at the intersection of wireless communications, digital twin technology, and autonomous systems. His work primarily focuses on three transformative areas: next-generation network infrastructure, building digital twins, and multi-agent autonomous racing. Nakazato’s major contributions include pioneering multi-intelligent reflecting surface (IRS)-assisted millimeter-wave networks for unmanned aerial vehicle base stations, significantly extending coverage in challenging environments—a breakthrough for Industry 5.0 applications. He also developed a web-based BIM platform for building digital twins, enabling real-time 3D spatial reproduction that enhances lifecycle management from construction to robotic operations. In autonomous racing, Nakazato introduced RaceMOP, a mapless online path planning framework using residual policy learning, which solves the critical challenge of safe overtaking in multi-agent scenarios. With over 20 citations across his most-cited works, his research has immediate practical impact, bridging theoretical advances with real-world deployment. Notably, his 2024 paper on multi-IRS-assisted networks has already garnered 10 citations, reflecting growing recognition in the field. Nakazato’s work is essential reading for researchers exploring the convergence of AI, IoT, and robotics in smart infrastructure.