Dr. Wei Huang | Civil Aviation | Best Researcher Award
Dr. Wei Huang | Jingdezhen University | China
Dr. Wei Huang is a dedicated scholar and researcher at the School of Information Engineering, Jingdezhen University. With a strong background in computer science and civil aviation, he has significantly contributed to integrating artificial intelligence into aviation systems. His academic journey reflects a commitment to advancing computational methods that enhance the safety, efficiency, and reliability of air traffic operations. By collaborating with industry and academic partners, Dr. Huang has been actively engaged in research projects, publishing in high-impact journals, and contributing to technological innovations that bridge theoretical research with real-world aviation applications.
Publication Profile
ORCID
Education Background
Dr. Wei Huang earned his doctoral degree in Computer Science from the prestigious Russian Academy of Sciences, where he developed expertise in artificial intelligence and computational technologies. His education was complemented by professional training, culminating in his certification as a licensed Air Traffic Controller under the Civil Aviation Administration of China. This dual foundation in both advanced computer science and civil aviation allows him to approach research from a unique interdisciplinary perspective, linking theory and practice. His educational background has provided him with the skills and insight to conduct impactful studies in the low-altitude economy and intelligent aviation systems.
Professional Experience
Dr. Wei Huang has cultivated a professional career that blends academic research with industrial collaboration. As a faculty member at Jingdezhen University, he mentors students, leads research initiatives, and contributes to the institution’s academic reputation. His collaborations include projects with Jiangxi Helicopter Co., Ltd., where he worked on continuous improvement of the JH-A helicopter, as well as funded initiatives focusing on aircraft landing marking recognition through deep learning. He also serves as an expert reviewer for academic journals and evaluates projects for the Jiangxi Association for Science and Technology, reflecting his role as both a researcher and evaluator in his field.
Awards and Honors
Throughout his career, Dr. Wei Huang has earned recognition for his expertise and contributions to both academic and applied research. He has been appointed as an expert evaluator by professional bodies, including the Jiangxi Association for Science and Technology and the Low Altitude Leading Alliance. His work has received project funding from provincial education authorities, which highlights its value and relevance to aviation development. His patents, research outputs, and growing citation impact underscore his influence in the field. These acknowledgments demonstrate his leadership in advancing innovative solutions that support the evolving demands of the aviation and computer science sectors.
Research Focus
Dr. Wei Huang’s primary research focus is the application of computer science and artificial intelligence in civil aviation. He has explored innovative methods for optimizing aircraft safety and efficiency, particularly through intelligent detection systems. His most notable contribution is an optimized YOLOvs model for detecting runway markings during aircraft landings, improving accuracy and robustness of visual recognition. His work integrates deep learning strategies, data augmentation, advanced activation functions, and deformable convolutions to enhance model performance. He also investigates low-altitude economy applications, contributing to both theoretical research and industrial projects that push forward the integration of AI technologies in aviation.
Publications
Research on Optimized YOLOv5s Algorithm for Detecting Aircraft Landing Runway Markings
Published Year: 2025
Citation : 1
Conclusion
Dr. Wei Huang stands out as a researcher whose academic achievements and professional contributions continue to shape the integration of artificial intelligence with civil aviation systems. His combination of computer science expertise, aviation background, and practical innovations reflects a rare blend of skills. With impactful publications, industrial collaborations, and recognition by scientific organizations, his career exemplifies dedication to advancing technology in service of safety and efficiency. His ongoing research and leadership in projects suggest a promising trajectory, positioning him as an influential figure in developing intelligent aviation solutions and strengthening global contributions to computational research in civil aviation.