computer graphics

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.

Alumni Focus: Ronell Sicat

1 min read ·
As the volume and complexity of data captured around the world continues to grow exponentially, new ways of exploring and visualizing this data are required. Today, society has moved beyond the traditional desktop computer with tools such as augmented and virtual reality (AR/VR) at the forefront of immersive data visualization and analysis.

Xingdi Zhang

Ph.D. Student, Computer Science
Xingdi Zhang specializes in scientific visualization and computer graphics.

Ronell Sicat

Visualization Scientist, Core labs and Research Infrastructure
Ronell Sicat is a scientist with more than 10 years of experience in scientific research and software development. His main interests are scalable visualization and analysis of large-scale data (e.g., images, volumes, meshes), and immersive analytics that leverage augmented/virtual reality. He is passionate about helping domain scientists solve their problems using my wide-ranging experience in programming, image processing, segmentation, quantitative analysis, and computer graphics.

Peter Rautek

Research Scientist, Computer Science
Peter Rautek is a Research Scientist in the High-Performance Visualization Group working with Professor Markus Hadwiger at King Abdullah University of Science and Technology (KAUST).

Ondrej Strnad

Research Scientist, Computer Science
Ondrej Strnad is a Research Scientist currently working with Professor Markus Hadwiger in the High-Performance Visualization Group at KAUST. His research focuses on large-scale, out-of-core oil reservoir visualization. Ondrej joined KAUST in November 2019, initially becoming a member of Ivan Viola's Nanovisualization Research Group, where he worked on procedural modeling, generation, and visualization of highly populated, dense biological scenes.

Mohamed Ibrahim

Postdoctoral Research Fellow, Computer Science
Mohamed Ibrahim is a Postdoctoral Research Fellow in High-Performance Visualization Group (VCCVIS) working with Prof. Markus Hadwiger at King Abdullah University of Science and Technology (KAUST). Education and Early Career He earned his Bachelor’s degree in Computer Engineering from the American University in Cairo (AUC) in 2010. Later on, he obtained a Master’s degree in Computer Science from KAUST in 2012. He graduated from KAUST with a Ph.D. in Computer Science in 2019. Research Interest Mohamed Ibrahim's research is concerned with Large-Scale data visualization. He's especially interested

Juris Grigs

Ph.D. Student, Computer Science
Juris Grigs is a Computer Science Ph.D. student in the KAUST High-Performance Visualization Group (VCCVis) under the supervision of Professor Markus Hadwiger at King Abdullah University of Science and Technology (KAUST). Education and Early Career Juris obtained his bachelor's degree in ​Physics from the University of Latvia in 2017. He joined KAUST as an Electrical Engineering student with the Integrated Microwaves Packaging Antennas & Circuit Technology (IMPACT) Research Group. Now,he is a Ph.D. student in the VCCVis Research Group. Research Interests Juris's research interests include ​data

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.