Skip to main content
Computer, Electrical and Mathematical Sciences and Engineering
CEMSE
Computer, Electrical and Mathematical Sciences and Engineering
Home
Study
Prospective Students
Current Students
Internships
Research
Research Overview
Research Areas
Research Groups
Programs
Applied Mathematics and Computational Sciences
Computer Science
Electrical and Computer Engineering
Statistics
People
All People
Faculty
Affiliate Faculty
Instructional Faculty
Research Scientists
Research Staff
Postdoctoral Fellows
Students
Alumni
Administrative Staff
News
Events
About
Who We Are
Message from the Dean
Leadership Team
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