Jie Wei

Jie Wei is a Professor of Computer Science at the City College of New York (CCNY), with an affiliation to the Computer Engineering department. His work bridges computer vision, medical imaging, and machine learning with applications in radiation therapy, infrastructure monitoring, and disaster mitigation. Dr. Wei's research focuses on developing intelligent systems for medical diagnostics, autonomous object detection, and environmental safety assessment. His team pioneers techniques like SAM-based auto-segmentation for clinical applications and uses transfer learning for non-invasive motion tracking in oncology.

Education details are listed on CCNY's site but not explicitly provided here. His research spans over 15 years, with notable contributions to 4D medical imaging analysis, lung tumor tracking, and lidar-based infrastructure monitoring. Recent work emphasizes AI-driven solutions for radiation therapy complications, autonomous vehicle classification, and efficient damage assessment systems.

Publications reflect a strong trend towards interdisciplinary applications of machine learning, particularly in healthcare and civil engineering. His work often integrates deep learning models with domain-specific challenges, such as real-time CCTV threat detection and volumetric respiratory motion simulation. Collaborations likely span biomedical engineering, computer science, and civil infrastructure sectors.