Dr. Ling Mei, Wuhan University of Science and Technology, China
Dr. Ling Mei is a distinguished researcher specializing in artificial intelligence, computer vision, and deep learning networks. He holds a Ph.D. in Engineering from Sun Yat-sen University, one of China’s top institutions, and completed a visiting scholar program at the University of British Columbia (UBC), Department of Computer Science, through the National Outstanding Young Researchers Program. Dr. Mei is a tenured faculty member and master’s supervisor, with a prolific research portfolio including 16 SCI/EI journal papers, 7 SCI articles, 3 granted national invention patents, and a software copyright. His innovative LSN-GTDA framework integrates pedestrian movement analysis for urban planning and public safety, emphasizing multimodal uncertainty in trajectory prediction. Recognized as a Provincial Research Talent of China in 2024, Dr. Mei’s groundbreaking contributions position him as a leader in AI-driven solutions for societal challenges. 🌟📊🤖
Professional Profile
Suitability for Award
Dr. Ling Mei’s exceptional contributions to artificial intelligence and computer vision make him an ideal candidate for the Best Researcher Award. His groundbreaking LSN-GTDA framework addresses multimodal uncertainty in pedestrian trajectory prediction, significantly advancing urban planning and public safety strategies. By leveraging symmetrical U-Net networks and a novel thermal diffusion process, Dr. Mei has enhanced uncertainty management and interpretability in AI applications. With 16 SCI/EI journal publications, 7 SCI articles, and multiple national invention patents, his research has had a profound impact on academia and industry. Dr. Mei’s recognition as a Provincial Research Talent of China in 2024 underscores his leadership in the field. His innovative solutions to complex societal challenges demonstrate a deep commitment to advancing AI technologies and their real-world applications. 🏆🤖🌍
Education
Dr. Ling Mei has an exemplary academic background, earning a Ph.D. in Engineering from Sun Yat-sen University in 2021, a top 10 university in China. He further enriched his expertise through a prestigious visiting scholar program at the University of British Columbia (UBC), Department of Computer Science, funded by the National Outstanding Young Researchers Program. During this program, Dr. Mei engaged in cutting-edge research on AI and computer vision, collaborating with global experts. His advanced education has equipped him with a robust foundation in artificial intelligence, deep learning networks, and computer vision, enabling him to address complex challenges in urban planning and public safety. Dr. Mei’s commitment to academic excellence and innovative research highlights his potential to drive advancements in AI-driven technologies. 🎓🤖📚
Experience
Dr. Ling Mei serves as a tenured faculty member and master’s supervisor, where he mentors the next generation of researchers in artificial intelligence and computer vision. His academic career is complemented by a year-long visiting scholar program at the University of British Columbia (UBC), where he contributed to advanced AI research. Dr. Mei has an impressive record of 16 SCI/EI journal publications, including 7 SCI articles, and holds 3 granted national invention patents, with 3 more patents under review. His innovative research focuses on pedestrian movement analysis and multimodal trajectory prediction, which have practical applications in urban planning and public safety. Dr. Mei’s professional journey reflects his dedication to leveraging AI for societal impact and fostering interdisciplinary collaboration. 🌟📊🔬
Awards and Honors
Dr. Ling Mei’s outstanding contributions to AI and computer vision have earned him prestigious accolades, including recognition as a Provincial Research Talent of China in 2024. This honor highlights his leadership and innovation in addressing complex societal challenges through AI-driven solutions. Dr. Mei was selected for the National Outstanding Young Researchers Program, enabling him to complete a visiting scholar program at the University of British Columbia (UBC), a testament to his exceptional research capabilities. His achievements include 16 SCI/EI journal publications, 7 SCI articles, 3 granted national invention patents, and 1 software copyright, showcasing his commitment to advancing AI technologies. These accolades underscore Dr. Mei’s role as a pioneering researcher making significant contributions to academia and industry. 🏅🤖📈
Research Focus
Dr. Ling Mei’s research focuses on advancing artificial intelligence in networking, computer vision, and deep learning networks. His innovative LSN-GTDA framework integrates behavioral and stochastic factors to address multimodal uncertainty in pedestrian trajectory prediction, enhancing urban planning and public safety strategies. Dr. Mei employs symmetrical U-Net networks and a novel thermal diffusion process based on signal and system theory to improve uncertainty management and interpretability. His work bridges the gap between theoretical advancements and practical applications, emphasizing the role of AI in solving real-world challenges. Dr. Mei’s research aims to develop robust, scalable solutions that integrate AI-driven insights into societal systems, ensuring a safer and more efficient future. 🌐🤖📊
Publication Top Notes
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Illumination-invariance Optical Flow Estimation Using Weighted Regularization Transform
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More Quickly-RRT: Improved Quick Rapidly-Exploring Random Tree Star Algorithm Based on Optimized Sampling Point with Better Initial Solution and Convergence Rate*
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From Pedestrian to Group Retrieval via Siamese Network and Correlation
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Deep Representations Based on Sparse Auto-Encoder Networks for Face Spoofing Detection
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WLD-TOP Based Algorithm Against Face Spoofing Attacks