About
YingLi Tian is a CUNY Distinguished Professor in the Department of Electrical Engineering at The City University of New York. Their work focuses on computer vision, machine learning, and medical imaging. Key areas include sign language recognition, medical image analysis, and AI-driven healthcare solutions.
Research Interests:
- Artificial Intelligence applications in healthcare
- 3D point cloud and scene understanding
- Self-supervised learning and domain adaptation
- Sign language recognition systems
- Medical imaging segmentation and diagnosis
- Human-robot interaction and assistive technologies
Notable Projects:
- Developed AI systems for American Sign Language recognition using RGB-D data
- Pioneered self-supervised feature learning techniques in medical imaging
- Created virtual contrast enhancement tools for CT scans
- Advanced sea ice motion prediction using deep learning
Labs & Teams: Leads the Media and Information Technology Lab at CCNY, focusing on multimodal AI and healthcare technology innovations.
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