Xingdi Zhang
Xingdi Zhang specializes in scientific visualization and computer graphics.
Biography
Xingdi Zhang is a Computer Science Ph.D. student in Computer Science at King Abdullah University of Science and Technology (KAUST) under the supervision of Professor Markus Hadwiger in the High-Performance Visualization Group. Xingdi received his M.S. (2022) in Computer Science from KAUST and his B.E. (2020) from the University of Electronic Science and Technology of China (UESTC). His doctoral research bridges Riemannian geometry, physics, and deep learning for objective vortex extraction and flow visualization.
Research Interests
Xingdi is interested in observer relative flow visualization, extreme-scale data, visualization, computer graphics.
- Visualization: Riemannian Geometry based observer relative vortex extraction;
- Computer Vision: depth estimation, point cloud understanding;
- Computer Graphics: discrete geometry, graphics engine, etc.
About
Honors
- Honorable mention best paper: Interactive Exploration of Physically-Observable Objective Vortices in Unsteady 2D Flow
- Best paper: Vortex Lens: Interactive Vortex Core Line Extraction using Observed Line Integral Convolution
Awards and Distinctions
- National Scholarship of China, 2019
- Dean' award of CEMSE Division, King Abdullah University of Science and Technology (KAUST), 2022
Education
- Bachelor of Engineering (B.Eng.)
- Computer Science, University of Electronic Science and Technology of China (UESTC), China, 2020
- Master of Science (M.S.)
- Computer Science, King Abdullah University of Science and Technology (KAUST), Saudi Arabia, 2022