Skip to main content
King Abdullah University of Science and Technology
Integrated Intelligent Systems Lab
I2S
Integrated Intelligent Systems Lab
  • Home
  • People
    • All People
    • Principal Investigator
    • Research Scientists
    • Research Staff
    • Postdoctoral Fellows
    • Students
  • I2S Projects
  • Collaborators
  • Resources and Downloads
  • Join I2S

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

Integrated Intelligent Systems Lab (I2S)

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