Skip to main content
Communication and Computing Systems Lab
CCSL
Communication and Computing Systems Lab
Home
People
All Profiles
Principal Investigator
Postdoctoral Fellows
Research Scientists
Research Staff
Students
Alumni
Former Members
Research
Wireless Communication
Body Area Network
AI Accelerator
All Projects
Publications
Publications
Google Scholar
DBLP
IEEE Xplore
KAUST Repository
ORCID
Events
Media Gallery
Contacts
Join us
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