Visualization Laboratory Wiki
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Augmented and Virtual Reality for Data Visualization

  Date

  • April 28, 2026
  • 1:30pm - 3:30pm


  Venue

  • Building 1, Level 2, Room 2418 (Desert Side)


  Organizer

Ronell Sicat
Visualization Core Lab
ronell.sicat@kaust.edu.sa

  Register

Register Here



Workshop Materials

  • TBA

Overview

The goal of this workshop is to introduce participants to augmented reality (AR) and virtual reality (VR) technologies and how they can be used for visualization and interaction with data. Participants will be introduced to the AR and VR resources provided by the KAUST Visualization Core Lab, such as display devices and facilities, as well as software development support and research collaboration. Finally, there will be a live demo session where participants can try different examples with the goal of opening discussions on how to possibly use AR and VR for various applications in the different research domains in KAUST. If time permits, there will be a brief tour of AR/VR facilities, including CUBES and AR/VR Hub.

Below are example KVL projects that used AR/VR for data visualization and data-driven storytelling:

  • Micro-CT and Holographic Visualization of Foraminifera
  • Mobile AR Visualization of Giant Red Sea Coral
  • Coral Probiotics Village in VR
  • Holographic Visualization of Climate Simulation/Emulation
  • Coral Reef Restoration Planning and Visualization

If you have any questions, please contact us at help@vis.kaust.edu.sa.

Agenda

  • AR/VR Introduction
  • AR/VR for Data Visualization
  • AR/VR Resources @ KVL
  • Live Demos / Discussions
  • AR/VR Facilities Tour

workshop, AR, VR
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training/scivis/2026/arvr.txt · Last modified: 2026/02/03 13:43 by Ronell Sicat
Visualization Laboratory Wiki

Table of Contents

Table of Contents

  • Augmented and Virtual Reality for Data Visualization
    • Overview
    • Agenda

Welcome to the KVL

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  • Highlights
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KVL Documentation

  • Frequently Asked Questions
  • Visualization Tools User Guides
  • AR & VR Tools User Guides
  • Data Science Tools User Guides
  • Facility User Guides