Yangbo Ye

Yangbo Ye is a Professor in the Department of Mathematics at the University of Iowa. He holds a PhD from Columbia University. His research focuses on Number Theory and Medical Imaging, with notable contributions in automorphic forms, L-functions, and advancements in medical image reconstruction techniques. His work bridges pure mathematics and applied fields, particularly in computational tomography and deep learning applications.

Ye's research in Number Theory includes studies on analytic aspects of automorphic forms, subconvexity bounds for L-functions, and applications of Petersson's formula. In Medical Imaging, he has developed algorithms for CT reconstruction, including framelet-based methods and neural network approaches for tumor segmentation. His interdisciplinary work has led to advancements in both theoretical mathematics and practical medical imaging technologies.

Selected publications highlight his exploration of GL(n) automorphic forms, resonance sums, and innovative CT scanning methodologies. Despite his extensive publication record, no specific awards or grants are explicitly listed in the provided text. He advises no listed students but has collaborated on numerous projects in computational mathematics and biomedical imaging.

Ye’s research also extends to algebraic structures in number theory, including functoriality and Dirichlet series, while his medical imaging work addresses challenges in spiral CT data reconstruction and interior tomography. His contributions reflect a deep integration of mathematical theory with real-world applications in healthcare technology.