AI-empowered Robust Ad-hoc Underwater Tactical Wireless Networks: Sensing & Threat Classification

This project is part of a longstanding continuous collaboration between Ultra and École de technologie supérieure that seeks to leverage the advancements of artificial intelligence (AI) to design a comprehensive framework for a robust ad-hoc underwater tactical wireless networks (AUTWNs). The network will be featured with privacy preserving mechanism to assist threat classification and self-organizing capabilities. AUTWNs play a significant role in the success of maritime and warfare missions, naval and underwater disaster relief operations, and many more. Ultra is a global leader in AUTWNs; their customers include the Five-Eyes nations and others. As part of its strategic research and development plan, Ultra is planning to upgrade its underwater wireless communication (UWC) systems. The current state-of-the-art AUTWNs require constant human intervention, for network configuration and reconfiguration in case of failure, threat management and classification, etc. The current advancements in AI make such a reliance on humans a huge vulnerability, which motivates this project. Furthermore, the key-concepts and core-technologies developed under this project are not only imperative for tactical and emergency applications, but they are also of significant value for scientific and environmental applications to monitoring underwater environments.

Faculty Supervisor:

Georges Kaddoum

Student:

Partner:

Ultra Intelligence & Communications

Discipline:

Engineering

Sector:

Information and Communications Technology; Artificial Intelligence; Ocean Tech

University:

École de technologie supérieure

Program: