معرفی
Ming Ma is an Assistant Professor in the Department of Graduate Computer Science and Engineering at the Katz School of Science and Health, Yeshiva University. He leads the Medical Imaging and Artificial Intelligence lab. He holds a Ph.D. in Computer Science from Stony Brook University and completed a postdoctoral fellowship at Stanford University. His research focuses on integrating artificial intelligence with medical imaging, particularly in areas like medical image segmentation, deep learning applications in healthcare, and geometric modeling for biomedical systems.
- Education:
- Ph.D. in Computer Science, Stony Brook University, USA
- Postdoctoral Scholar, Stanford University, USA
Research Interests: His work spans Artificial Intelligence, Medical Imaging, Large Language Models, Geometric Modeling, and Computer Vision. He develops novel algorithms for medical image analysis, including techniques for dose prediction in radiation therapy, pulmonary nodule detection, and segmentation of vascular structures. Recent projects emphasize the application of graph convolutional networks and optimal transport methods in low-dose CT imaging.
Conference Contributions: He serves on program committees for conferences like AAAI 2022, ICONIP 2024, and CHASE 2025, reflecting his leadership in advancing AI and biomedical engineering research.
Labs/Teams: His lab at Yeshiva University focuses on interdisciplinary research at the intersection of AI, medical imaging, and computational anatomy, with a commitment to translating algorithmic innovations into clinical applications.
