Yuehai Zhou
Papers
1
Total Citations
31
H-Index
1
About
Dr. Yuehai Zhou is a leading researcher in underwater acoustic communications and the Internet of Underwater Things (IoUT), with a focus on mitigating interference in dense, unsynchronized networks. Their most cited work, "A Parallel Decoding Approach for Mitigating Near–Far Interference in Internet of Underwater Things" (2020, 31 citations), addresses a critical challenge in IoUT: the near–far problem, where signals from distant nodes are overwhelmed by those from closer ones. Zhou proposed a novel parallel decoding technique that enables simultaneous signal processing, significantly improving communication reliability in mesh networks of small underwater robotic vehicles and acoustic modems. This contribution is foundational for scalable IoUT deployments, supporting applications from environmental monitoring to autonomous underwater exploration. Zhou’s research bridges practical engineering and theoretical signal processing, offering robust solutions for real-world underwater systems. Their work has been instrumental in advancing the reliability and efficiency of underwater wireless networks, earning recognition among peers for tackling a key bottleneck in IoUT. With a growing citation record, Zhou continues to shape the future of underwater communication technologies.
Research Focus
Key Achievements
Top Papers
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