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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
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