Dr. Yuxiang Leng | Electrical engineering | Best Researcher Award

Dr. Yuxiang Leng | Electrical engineering | Best Researcher Award

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

๐ŸŽ“ 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.

๐Ÿ’ผ 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.

๐Ÿ… 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.

๐Ÿ”ฌ Research Focus:

Yuxiangโ€™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.

๐Ÿ”š 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.

๐Ÿ“š Top Publications of Yuxiang Leng

  1. 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

  2. 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

  3. 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

  4. Contactless Voltage Measurement Considering Spatially Dependent Voltage Compensation
    Published: 2023
    Conference Proceedings: IEEE Power & Energy Society Meeting
    Cited by: 0 articles

 

Dr. Jin Jiang | Electronics | Best Researcher Award

Dr. Jin Jiang | Electronics | Best Researcher Award

Chief Engineer, Xiamen King Long United Automotive Industry Co., Ltd., China

Dr. Jin Jiang is a distinguished researcher and industry leader specializing in intelligent networking and new energy automotive technology ๐Ÿš—๐Ÿ”ฌ. Currently serving as the Director of the Intelligent Network Research Institute at Xiamen King Long United Automotive Industry Co., Ltd., he plays a pivotal role in advancing China’s automotive industry. His expertise spans mobile edge computing, traffic modeling in wireless networks, intelligent onboard units, and decision-making in driver-automation shared control. With extensive experience in both academia and industry, Dr. Jiang is dedicated to pioneering next-generation automotive and communication technologies ๐Ÿš€.

Publication Profile

Scopus

๐ŸŽ“ Education:

Dr. Jin Jiang holds a Ph.D. in Aeronautical and Astronautical Science and Technology from Tsinghua University (2017-2021). Before that, he earned an M.S. in Electronic Science and Technology from Air Force Engineering University (2013-2016) and a B.S. in Telecommunication Engineering from Huainan Normal University (2009-2013). His academic background has provided a strong foundation for his innovative contributions to intelligent vehicle systems and wireless communication.

๐Ÿ’ผ Experience:

Dr. Jiang has held multiple influential roles in the automotive and research industries. Since 2023, he has been the Director of the Intelligent Network Research Institute at Xiamen King Long United Automotive Industry Co., Ltd., where he leads the development of intelligent networking technology. He also serves as the Deputy Secretary General at the Fujian Society of Automotive Engineers (2022-present) and the Vice Director of Operation Management Department at Fujian Motor Industry Group Co. (2021-present). Additionally, as the Chief Engineer of Information & Communications at Xiamen King Long, he has been instrumental in shaping China’s intelligent and new energy automotive landscape ๐Ÿ”Œ๐Ÿš—.

๐Ÿ† Awards and Honors:

Dr. Jiang has received several prestigious awards for his contributions. In 2022, he secured second place in the Innovation Group of the Fourth China Industrial Internet Contest, ranking second among 348 projects. His efforts in standardization were recognized with the Outstanding Individual Award in Standardization Work in Fujian Province (2022). Notably, he won first place in the 2023 Dubai World Challenge for Self-Driving Transport, showcasing his excellence in autonomous vehicle technology ๐ŸŒ๐Ÿš˜.

๐Ÿ”ฌ Research Focus:

Dr. Jiangโ€™s research interests include Mobile Edge Computing, Traffic Modeling in Wireless Networks, Intelligent On Board Units, Simultaneous Localization and Mapping (SLAM), and Decision-Making in Driver-Automation Shared Control. His work is crucial in enhancing vehicle intelligence and optimizing communication networks for next-generation automotive applications ๐Ÿš—๐Ÿ“ก.

๐Ÿ“š Publications:

Distributed Drive Electric Bus Torque Allocation Control Strategy Analysis with MOEA/D AIEA 2022 ๐Ÿ“–.

Orbital Angular Momentum Spread Transmission With Interferometry Codes for Peak-to-Average Power Ratio Reduction IEEE Antennas and Wireless Propagation Letters ๐Ÿ“ก.

Orbital Angular Momentum Beamforming Based on Multi-loop Uniform Circular Array with Interferometry Codes IEICE Communications Express ๐Ÿ“ก.

Euclidean Space with Quantum OAM Based on Tensor Analysis IEICE Communications Express ๐Ÿง .

ย Angular Momentum Spectrum of Electromagnetic Wave IEICE Transactions on Fundamentals ๐ŸŒ.

๐Ÿ” Conclusion:

Dr. Jin Jiang is a leading expert in the automotive and communication fields, contributing to cutting-edge research and industry innovations. His extensive work in intelligent vehicle networking, mobile edge computing, and autonomous transport systems solidifies his reputation as a driving force in smart automotive technology ๐Ÿš˜๐Ÿ”—.