Ningna Wang

Ningna Wang is a Ph.D. candidate in Computer Graphics at the University of Texas at Dallas, working under the supervision of Professor Xiaohu Guo.2 Her research focuses on computer graphics and related areas.

Key points about Ningna Wang:

1. Education:

   • Currently pursuing a Ph.D. in Computer Graphics at the University of Texas at Dallas
   • Holds a Master's degree in Computer Science from Carnegie Mellon University

2. Research:

   • Specializes in computer graphics and related fields2
   • Has published academic papers, with her work appearing in Google Scholar5

3. Achievements:

   • Collaborated with Dr. Xiaohu Guo and other researchers on a paper titled "Globally Consistent Normal Orientation for Point Clouds by Regularizing the Winding Number Field," which received the ACM SIGGRAPH 2023 Technical Papers Best Paper Award1

4. Professional Experience:

   • Currently works as a Research Assistant at the University of Texas at Dallas36
   • Has experience in both front-end JavaScript programming and back-end Java programming3

5. Skills:

   • Described as a fast learner and great team member3
   • Contributes to research in 3D scanning technology, surface reconstruction, and point cloud processing1

6. Online Presence:

   • Maintains a personal website showcasing her research and academic work2
   • Active on LinkedIn with the username ningna-wang-53aa16833
   • Has shared updates about her work, including participation in SIGGRAPH Asia 20224

Ningna Wang's work in computer graphics, particularly her contributions to 3D scanning and surface reconstruction techniques, positions her as a promising researcher in the field of computer science and graphics.