real-time rendering

Balancing Accuracy and Efficiency: Compact Representations for Flow and Multivariate Visualization

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B3 L5 R5220

This thesis addresses the challenge of interactively visualizing massive scientific datasets by introducing novel frameworks that strategically balance accuracy and efficiency for scalable multivariate filtering, objective time-dependent flow analysis, and hybrid, complexity-guided flow reconstruction.

Reem Alghamdi

Ph.D. Student, Computer Science
Reem Alghamdi is a Ph.D student in VCCVIS group under the supervision of Professor Markus Hadwiger. Education Profile MS in Computer Science, King Abdullah University of Science and Technology, Saudi Arabia. B.Sc. in Computer Science, Princess Nourah bint Abdulrahman University, Saudi Arabia.

Amani Ageeli

Ph.D. Student, Computer Science
Amani Ageeli's research focuses on bridging scientific research with clear visual communication, contributing to tools and methods that make complex data more accessible and impactful within Saudi Arabia’s growing technology and research landscape.

Alberto Jaspe-Villanueva

Research Scientist, Computer Science
Alberto Jaspe-Villanueva is a Research Scientist working with Professor Markus Hadwiger at the Visual Computing Center (VCC) in King Abdullah University of Science and Technology (KAUST). Education and Early Career Alberto started developing Computer Graphics software in 2003 as an undergraduate researcher at the VideaLAB group of the University of A Coruña (Spain), where he worked for eight years on terrain rendering, virtual reality, and natural interaction. He completed his Bachelor of Computer Science in 2012, and it's Master on High-Performance Computing in 2013, at the same University