Lindong Zhao

Nanjing University of Posts and Telecommunications

Papers

Total Citations

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About

Dr. Lindong Zhao is at the forefront of next-generation wireless networks and intelligent human-machine collaboration. His research primarily focuses on digital twin (DT) empowered mobile networks and multimodal machine learning for human-robot interaction. In his highly cited 2023 work, "Cloud-Edge-Client Collaborative Learning in Digital Twin Empowered Mobile Networks," Dr. Zhao addresses critical privacy and efficiency challenges in DT-empowered mobile networks by integrating federated learning, a contribution that has already garnered 27 citations. This work is pivotal for enabling intelligent, privacy-preserving applications in 6G environments. Additionally, his research on "Cross-View Human Intention Recognition for Human-Robot Collaboration" (11 citations) leverages the promise of 6G to fuse video, audio, and haptic signals, advancing the reliability of human intention recognition—a cornerstone for effective human-robot collaboration in Industry 5.0. Dr. Zhao’s innovative approaches to cloud-edge-client architectures and multimodal learning are shaping the future of autonomous systems and intelligent networks, making him a rising leader in the convergence of digital twins, edge intelligence, and collaborative robotics.