Risk-Aware Decision Support Systems for Critical Infrastructure Protection and Territorial Security

Robotic sensor networks (RSN) are increasingly applied to Critical Infrastructure Protection (CIP). In such an application, a RSN is deployed to safe-guard some critical infrastructure (e.g., building, pipeline, etc.) in a secure and reliable fashion. By actively considering risk as a major driving force, this project aims at deciding on the optimal configuration of an ensemble of robotic nodes, their data processing and information extraction mechanisms and the ways in which they can reconfigure themselves in order to respond to emerging threats and risks in the environment.

Faculty Supervisor:

Dr. Emil Petriu

Student:

Phillip Curtis/TBD

Partner:

Larus Technologies Corporation

Discipline:

Computer science

Sector:

Aerospace and defense

University:

University of Ottawa

Program:

Accelerate

Current openings

Find the perfect opportunity to put your academic skills and knowledge into practice!

Government

International

Load More

International

Load More