Skip to main content
King Abdullah University of Science and Technology
Computer Science
CS
Computer Science
  • Study
    • Prospective Students
    • Current Students
  • Research
    • Research Areas
    • Research Groups
  • People
    • All People
    • Faculty
    • Affiliate Faculty
    • Instructional Faculty
    • Research Scientists
    • Research Staff
    • Postdoctoral Fellows
    • Administrative Staff
    • Alumni
    • Students
  • News
  • Events
  • About
  • CEMSE Division
  • Apply

multivariate functional data

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

Amani Ageeli, Ph.D. Student, Computer Science
Nov 25, 10:00 - 12:00

B1 L2 R2202

Scientific Visualization real-time rendering computer graphics interactive visualization large datasets multivariate functional data

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.

Computer Science (CS)

Footer

  • A-Z Directory
    • All Content
    • Browse Related Sites
  • Site Management
    • Log in

© 2025 King Abdullah University of Science and Technology. All rights reserved. Privacy Notice