معرفی
Dr. Xiaojun Qi is a Professor and Department Head of Computer Science at Utah State University (USU), where he has been since 2002. He holds a Ph.D. in Computer Science from Louisiana State University. His research focuses on Image Processing, Machine Learning, Computer Vision, and Deep Learning, with notable contributions to medical imaging, object detection, and multimedia security. Qi leads the Computer Science department and oversees research projects funded by grants from organizations like UDOT and GRCO. He has advised numerous graduate and undergraduate students across projects such as fake face detection, facial expression recognition, and LiDAR-based traffic sign detection. His work integrates computational geometry and AI to address challenges in vision systems and biomedical applications.
Education: Ph.D., Computer Science (Louisiana State University); M.S., Systems Science (Louisiana State University); M.S., Computer Science (Shenyang Institute of Automation, Chinese Academy of Sciences); B.S., Computer Science and Engineering (Donghua University).
Research Interests: Image Processing, Machine Learning, Deep Learning, Computer Vision, Medical Imaging, Object Detection, Digital Watermarking, and Data Mining. He has organized numerous conferences and served on technical committees for VISAPP, CompIMAGE, and DEXA.
Grants include UDOC (Traffic Sign Detection), GRCO (Medical Image Segmentation), and NSF REU (Computer Vision). His lab focuses on interdisciplinary projects such as vision-based navigation, steganalysis, and bio-inspired algorithms.
