معرفی
Shunxing Bao is a Research Assistant Professor in Electrical and Computer Engineering at Vanderbilt University's School of Engineering. His research focuses on distributed computing, medical imaging, and machine learning applications in healthcare. He holds a Ph.D., M.S., and B.E. in Computer Science and Software Engineering from Vanderbilt University and Huazhong University of Science and Technology.
Research Interests:
- Distributed computing for big data management in medical imaging
- Computational image analysis and digital pathology using machine learning
- Medical informatics and scalable data processing pipelines
- Medical imaging harmonization and enhancement techniques
Notable Contributions: Bao's work addresses challenges in medical imaging workflows, including low-dose CT reconstruction, diffusion MRI analysis, and multiplexed immunofluorescence (MxIF) imaging. He has developed algorithms for image harmonization, segmentation, and bias mitigation in AI systems. His research integrates high-performance computing to enable large-scale medical data analysis.
Publications (2025): Focus on advanced imaging techniques, including CycleGAN harmonization, 3D kernel reparameterization, and applications of SAM models in pathology. His work bridges computational methods with clinical needs in neurodegenerative disease prediction and pediatric diagnostics.
