Ph.D, Chongqing University, China
Yuxiang Leng is an emerging researcher in the field of 3D laser point cloud technology and power transmission systems. He is currently pursuing his Ph.D. at the State Key Laboratory of Power Transmission Equipment Technology, Chongqing University, China. With a strong academic background and an innovative mindset, Leng has actively contributed to the advancement of computer vision applications in power systems. He has published eight academic papers and presented his work at high-level international conferences, gaining recognition in both academia and industry for his contributions to smart grid technologies and engineering digitalization.
Publication Profile
Scopus
🎓 Education Background:
Yuxiang Leng earned his B.Sc. degree from Jiangsu University of Science and Technology in 2019 and his M.S. degree from Wenzhou University in 2022. He is currently a Ph.D. candidate at Chongqing University, focusing on advanced research in the digital management of power substations using 3D vision and laser scanning methods. His educational path reflects a consistent pursuit of excellence in engineering and technology.
💼 Professional Experience:
Though still in the early stages of his research career, Yuxiang has shown remarkable productivity. He has been actively involved in eight research projects and has taken a lead role in multiple academic studies. His technical work centers around developing high-precision measurement techniques and improving data accuracy in laser-based 3D reconstruction. While he has not yet been involved in consultancy or editorial positions, his practical approach and novel methodologies have already earned him significant attention in academic forums.
🏅 Awards and Honors:
While specific awards are not listed, Yuxiang’s recognition as a leading contributor to peer-reviewed SCI/EI journals, including being the first author in three high-impact publications, underlines his academic excellence. Additionally, his oral presentations at top-tier international conferences have positioned him as a rising talent in power equipment digitalization. His selection as an IEEE Student Member further reflects his commitment to research and innovation.
🔬 Research Focus:
Yuxiang’s research lies at the intersection of 3D computer vision, laser point cloud data analysis, and power transmission and transformation systems. His most notable contribution involves a dynamic compensation method that significantly reduces vibration-induced errors in 3D point cloud data, enhancing segmentation and reconstruction precision by over 70%. His work not only advances digital twin modeling but also supports smart maintenance, monitoring, and intelligent management of electrical substations.
🔚 Conclusion:
Yuxiang Leng stands out as a dynamic and promising young researcher whose innovative solutions are driving the future of power system digitalization. With a strong publication record, hands-on project experience, and a clear research vision, he is a fitting candidate for the Best Researcher Award. His blend of academic rigor and practical innovation ensures a meaningful impact in the realm of intelligent power grid technology.
📚 Top Publications of Yuxiang Leng
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Dynamic compensation approach for mitigating vibration interference in 3D point cloud data of electrical equipment
Published: 2025
Journal: Advanced Engineering Informatics
Cited by: 3 articles
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Intelligent Early Warning System for Power Operation Safety Based on Laser Point Cloud Sensing
Published: 2024
Conference Paper: International Conference on Smart Energy Systems
Cited by: 2 articles
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LoRaWAN Network Downlink Routing Control Strategy Based on the SDN Framework and Improved ARIMA Model
Published: 2023
Journal: Journal of Communications and Networks
Cited by: 1 article
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Contactless Voltage Measurement Considering Spatially Dependent Voltage Compensation
Published: 2023
Conference Proceedings: IEEE Power & Energy Society Meeting
Cited by: 0 articles