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Ronell Sicat

About Ronell Sicat

Ronell Sicat

  • Visualization Scientist, Core labs and Research Infrastructure

computer graphics data analysis visualization

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.

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Related News

June 2019

  • Alumni Focus: Ronell Sicat

    2 min read · Thu, Jun 20 2019

    News

    immersive analytics computer graphics large-scale data visualization

    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.

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Related Sites

  • Core labs and Research Infrastructure (CoreLabs)
  • High Performance Visualization Group (VCCVIS)
  • Computer Science (CS)

Related Content

  • Articles
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Related Links

  • Ronell Sicat Personal website
  • KAUST Visualization Core Lab

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