About Yujian Guo Yujian Guo Ph.D. Student, Electrical and Computer Engineering optical wireless communication systems solid-state lighting underwater sensor platform Yujian Guo is a Ph.D. student at Photonics Laboratory under the supervision of Professor Boon Ooi at King Abdullah University of Science and Technology (KAUST). Yujian obtained a Bachelor's Degree with distinction in Microelectronic engineering at the University of Electronic Science and Technology of China (UESTC), in 2017. He joined King Abdullah University of Science and Technology (KAUST) in the Fall of 2017 and achieved M.sc. in Electrical Engineering at KAUST in 2018. Research Interests Yujian's research interests include Underwater wireless optical communications, Underwater optical Events Presented Events Mar 20 - Mar 26, 2022 Underwater optical communication and sensing technology in silent ocean Yujian Guo, Ph.D. Student, Electrical and Computer Engineering Mar 20, 13:00 - 15:00 KAUST underwater optical communications Underwater wireless optical communication This dissertation aims to investigate and address noisy ocean issues and build large-scale underwater sensor networks by optical communication and sensing technology. The dissertation proposes using UWOC and FC&S technology to replace the conventional acoustic communication technology and reduce the noise in the ocean. UWOC helps achieve high-speed wireless communications between sensors, vehicles, and even humans for UIoT. The significant challenges of developing UWOC systems are the complex underwater environment's attenuation, scattering, and turbulence effects. This dissertation studied the turbulence effects on the UWOC system’s performance and addressed the pointing-acquisition-and-tracking issues.
Underwater optical communication and sensing technology in silent ocean Yujian Guo, Ph.D. Student, Electrical and Computer Engineering Mar 20, 13:00 - 15:00 KAUST underwater optical communications Underwater wireless optical communication This dissertation aims to investigate and address noisy ocean issues and build large-scale underwater sensor networks by optical communication and sensing technology. The dissertation proposes using UWOC and FC&S technology to replace the conventional acoustic communication technology and reduce the noise in the ocean. UWOC helps achieve high-speed wireless communications between sensors, vehicles, and even humans for UIoT. The significant challenges of developing UWOC systems are the complex underwater environment's attenuation, scattering, and turbulence effects. This dissertation studied the turbulence effects on the UWOC system’s performance and addressed the pointing-acquisition-and-tracking issues.
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