Xiaobai Sun

Xiaobai Sun is a full-time Professor of Computer Science at Duke University's Trinity College of Arts & Sciences, with a career spanning from 1994 to present. His research focuses on Numerical Analysis, Matrix Theory, High-Performance Scientific Computing, Parallel Computing, and Graph Clustering. He received his PhD from the University of Maryland, College Park in 1991.

• Education: Ph.D., University of Maryland, College Park (1991)

Research Interests encompass:

• Numerical Linear Algebra
• Graph Algorithms
• Parallel Computing
• Scientific Simulation
• Medical Imaging
• Optical Engineering

Publication Trends show a consistent focus on graph algorithms, numerical methods, and high-performance computing applications across biomedical imaging, optical systems, and physical simulations.

Grants include:

• NIH funding (2019-2021) for Hybrid virtual-MRI/CBCT in liver SBRT
• NSF funding (2009-2015) for Integral Equation-Based Fast Algorithms
• NIH funding (2014-2020) for LIVE System in SBRT Treatments
• ARO funding (2013-2014) for computing platform development

Professional Activities include Bass Connections Faculty Team Memberships (2013-2016) focusing on energy systems analysis and scientific document analysis.