Xingdi Zhang specializes in scientific visualization and computer graphics.

Biography

Xingdi Zhang holds a Ph.D. in Computer Science from King Abdullah University of Science and Technology (KAUST), where he was advised by Professor Markus Hadwiger in the High-Performance Visualization Group. He received her M.S. in Computer Science from KAUST in 2022 and  B.E. from the Yingcai Honor College at the University of Electronic Science and Technology of China (UESTC) in 2020. His research bridges scientific visualization, computer graphics, differential geometry, and calculus of variations, with a focus on optimal reference frames in unsteady flow, Lagrangian vortex corelines, and observer-relative flow visualization.

 

Expertise and Interests

  • Scientific Visualization & Computer Graphics: Observer-relative vortex extraction, optimal reference frames, Lagrangian vortex corelines, discrete geometry, and graphics engines.
  • Mathematics: Differential Geometry, Calculus of Variations.
  • AI4science: learning-based flow feature extraction

About

Honors

  • EuroVis Best PhD Award (One of the two recipients of the 2026 EuroVis Annual Award for Best PhD Thesis)
  • Best Paper Award: IEEE VIS 2023 (Vortex Lens: Interactive Vortex Core Line Extraction using Observed Line Integral Convolution)
  • Honorable Mention Best Paper: IEEE VIS 2025 (Exploring 3D Unsteady Flow using 6D Observer Space Interactions)
  • Honorable Mention Best Paper: IEEE VIS 2021 (Interactive Exploration of Physically-Observable Objective Vortices in Unsteady 2D Flow)

Awards and Distinctions

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
Doctor of Philosophy (Ph.D.)
Computer Science, KAUST, Saudi Arabia, 2025