Scholar
Bin Dong
Google Scholar ID: zLXcC90AAAAJ
Beijing International Center for Mathematical Research, Peking University
Citations & Impact
Citations
6,760
H-index
36
i10-index
88
Publications
20
Co-authors
61
list available
Contact
Publications
Resume (English only)
Academic Achievements
- His work in biomedical imaging has been covered by media outlets such as SIAM News and Science Daily. Additionally, he began venturing into machine learning in 2014, publishing a paper that introduced wavelet frames into semi-supervised learning models on graphs and point clouds.
Research Experience
- During his doctoral and postdoctoral years, he developed various models and algorithms within the frameworks of Partial Differential Equations (PDEs) and wavelets. These works included designing PDE models for cerebral aneurysm segmentation; integrating the notion of PDEs, level-set methods, and wavelet transforms to create computational tools for cardiovascular plaque quantification; formulating CT image reconstruction models by exploiting the property of sparse approximation of wavelet frame transforms; and optimizing radiation therapy for cancer mathematically. He also discovered profound connections between PDEs and wavelets, leading to new image segmentation models.
Education
- Insufficient information
Background
- His research interests include biomedical imaging, image reconstruction, image analysis, and using images and medical data to aid in clinical decision-making. Recently, he has also been extensively working in machine learning and artificial intelligence, particularly in the development of foundation models for biomedical data analysis, automated reasoning, and scientific computing. He is also dedicated to advancing AI for Mathematics.
