Student, Beijing Jiaotong University, China
Wenxuan Xu is a PhD candidate in engineering at Beijing Jiaotong University, specializing in optical fiber communication. He has a master’s degree in the same field and has published extensively in high-impact journals. His research focuses on few-mode erbium-doped fiber amplifiers (FM-EDFA) for long-distance communication, mode power management, and signal quality improvement. His work has been widely recognized, with multiple publications in journals such as Optics Express and J. Opt. Soc. Am. B. He has also been involved in numerous research projects funded by the National Natural Science Foundation of China. Wenxuanโs innovative approach to addressing the challenges of fiber optic communication has made a significant contribution to the field.
Profile
Scopus
Education
Wenxuan Xu completed his undergraduate studies and earned a master’s degree in engineering from Beijing Jiaotong University. Currently pursuing his PhD in optical fiber communication at the same institution, he is focused on researching key technologies for long-distance transmission, including few-mode fiber amplifiers and mode management. Throughout his academic journey, Wenxuan has gained in-depth knowledge in fiber optics, contributing to various groundbreaking research initiatives in the field. His academic background is complemented by his ongoing commitment to advancing fiber optic communication, particularly addressing amplifier issues for long-distance transmission and the development of new theoretical frameworks. He has demonstrated strong technical and research skills, underpinned by a deep understanding of the challenges and innovations in optical fiber communication.
Experience
Wenxuan Xu has participated in over 10 research projects, collaborating with experts in optical fiber communication to address critical challenges in long-distance transmission. His experience spans theoretical research, experimental verification, and the design of new technologies aimed at enhancing communication systems. His primary research focus has been on few-mode erbium-doped fiber amplifiers (FM-EDFA), investigating their role in balancing channel power in multi-mode fibers, improving amplifier tolerance, and optimizing signal quality. In addition to academic work, Wenxuan has been involved in industry-sponsored projects funded by the National Natural Science Foundation of China, gaining valuable practical experience. He has co-authored numerous research papers, with a significant portion of his work published in high-impact journals. His contributions have helped drive advancements in fiber optic technologies, with particular emphasis on improving amplifier performance and signal transmission quality.
Research Focus
Wenxuan Xuโs research is centered on optical fiber communication, specifically focusing on improving long-distance transmission using few-mode erbium-doped fiber amplifiers (FM-EDFA). His work involves the study of key challenges, such as balancing channel power across different modes, addressing modal loss differences, and improving amplifier performance. A major area of his research is mode decomposition, mode recognition, and power equalization for fiber amplifiers, particularly in the context of hybrid pumped FM-EDFA. Wenxuan has also contributed to the development of innovative methods to overcome the challenges of mode mixing, enhance signal quality, and improve the efficiency of optical systems. His research has led to the creation of theoretical frameworks, which are verified through experimental approaches. By advancing these technologies, Wenxuan aims to improve the reliability and performance of fiber optic communication systems, making them more efficient for long-distance and high-capacity applications.
Publication Top Notes
- Gain equalization of few-mode fiber amplifier based on particle swarm optimization (Proc. SPIE, 2022) ๐ฅ๏ธ๐
- Long-distance modal power equalization with hybrid pumped FM-EDFA (J. Opt. Soc. Am. B, 2023) ๐๐ก
- A Multi-Layer Erbium-Doped Air-Hole-Assisted Few-Mode Fiber with Ultra-Low Differential Modal Gain (Photonics, 2022) ๐ก๐ฌ
- High-performance mode decomposition using physics- and data-driven deep learning (Optics Express, 2022) ๐ค๐
- Accurate mode decomposition with the combination of the matrix analytic and the SPGD algorithm (J. Opt. Soc. Am. B, 2022) ๐ง๐ป
- Effect of gain saturation on mode capacity of EDFA (Optical Fiber Technology, 2022) โก๐