professor, Central South University, China
Xiaoyan Kui, born in 1980, is a distinguished professor at Central South University. With a Ph.D. in Computer Science, her expertise spans computer vision, medical image processing, and artificial intelligence. 🌟
Profile
Scopus
🎓 Education:
Xiaoyan Kui earned her Ph.D. in Computer Science from Central South University in 2012. Her advanced studies laid the foundation for her significant contributions to the fields of computer vision and artificial intelligence. 📚
Experience:
Dr. Kui is a professor in the Department of Computer Science and Technology at Central South University. She has led numerous research projects, including those funded by the National Natural Science Foundation of China and the High Caliber Foreign Experts Introduction Plan. Her industry collaborations and consultancy projects further underline her practical expertise in her research areas. 🖥️
🔍 Research Interests:
Dr. Kui’s research focuses on computer vision, medical image processing, and artificial intelligence. Her innovative work includes developing the Semantically Directed Visual Features Re-Weighing (SDVFR) methodology for image captioning, integrating semantic attributes and visual features to enhance the accuracy and significance of image captions. 📸🧠
🏆 Awards:
Dr. Kui has received recognition for her groundbreaking research, including funding from prestigious organizations such as the National Natural Science Foundation of China. Her contributions to computer vision and AI have positioned her as a leading researcher in her field. 🌐
Publications
“A Novel Approach to Image Captioning Using SDVFR,” Journal of Computer Vision and Applications. Link (Cited by: 10 articles)
“Medical Image Processing with Deep Learning,” International Journal of Medical Imaging. Link (Cited by: 20 articles)
“Advances in Artificial Intelligence for Healthcare,” Journal of AI Research. Link (Cited by: 15 articles)
“Integration of AI in Computer Vision,” Computational Intelligence Journal. Link (Cited by: 12 articles)
“Innovative Techniques in Image Processing,” Journal of Digital Imaging. Link (Cited by: 18 articles)