Skip to main content
King Abdullah University of Science and Technology
Computer Science
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

resource management

Control Theoretic Approaches to Computational Modeling and Risk Mitigation for Large Crowd Management

Mohammed M. Alrashed, M.S., Electrical and Computer Engineering
Nov 11, 20:00 - 21:00

KAUST

resource management risk assessment computational models

Abstract We develop a computational framework for risk mitigation in high population density events. With an increased global population, the frequency of high population density events is naturally increased. Therefore, risk-free crowd management plans are critical for efficient mobility, convenient daily life, resource management, and most importantly mitigation of any inadvertent incidents and accidents such as stampedes. The status-quo for crowd management plans is the use of human experience/expert advice. However, most often such dependency on human experience is insufficient, flawed

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

Disclaimer: The views and opinions expressed in this page are strictly those of the page author. The contents of this page have not been reviewed or approved by the King Abdullah University of Science and Technology.