In a volatile geopolitical landscape, Canada’s sovereignty relies on tangible capabilities: defending the territory, securing telecommunications and protecting critical infrastructure. This is precisely the mission driving research teams at ÉTS.
From intelligent satellites processing data directly in orbit and protecting GPS against cyberattacks to resilient wireless networks in times of crisis and autonomous, real-time cybersecurity: these technologies are designed to make our infrastructure more reliable and autonomous, enabling us to anticipate threats rather than merely react to them.
From Jamming to interference and high mobility, modern wireless networks must perform under increasingly challenging conditions. Georges Kaddoum, research professor in the Department of Electrical Engineering and director of ReMI, addresses these vulnerabilities by developing smart, resilient networks for defence, public safety and emergency response. By combining artificial intelligence and edge learning, his work optimizes spectrum usage, routing and network resilience, ensuring communications hold steady even when operational environments break down.
How can wildfires be detected rapidly when current satellite systems deliver data with a latency of several hours or even days, relying heavily on ground-based processing? Professor René Jr. Landry is exploring the development of intelligent satellite platforms capable of processing data directly in orbit, delivering fast, reliable and actionable intelligence for risk management and territorial protection.
How can space missions be deployed rapidly without rebuilding a satellite from scratch every time? How can data be processed directly in orbit to minimize operational delays? The APEX project—spearheaded by René Jr. Landry, research professor and director of LASSENA—tackles these challenges by developing a modular CubeSat platform equipped with onboard AI and interchangeable payloads.
Our GPS systems could eventually be deceived or disabled. The C-GUARD project, led by René Jr. Landry, professor-researcher in the Department of Electrical Engineering and director of LASSENA, is tackling these jamming and spoofing threats head-on by developing advanced detection methods, effective countermeasures, and a national architecture for monitoring GNSS signals.
Professor Chamseddine Talhi’s research focuses on self-healing cybersecurity, aiming to develop systems that automatically detect and remediate cyber threats in real time. His approach combines artificial intelligence, Infrastructure as Code (IaC) and cloud-native architectures. This work targets complex digital environments such as cloud computing platforms and critical infrastructure, with the ultimate goal of making cybersecurity more proactive and resilient.
What if critical systems—whether in orbit, on a mission or in the field—could analyze their data and make decisions in real time, without depending on remote infrastructure? At a time when information volumes are exploding and every second counts, the ability to integrate artificial intelligence directly at the core of embedded platforms is becoming a strategic challenge. This research, led by David Gonzalez Llorente, research professor in the Department of Aerospace Engineering, explores precisely this new generation of autonomous systems, which are faster, more resilient and better adapted to the most constrained environments.
The use of artificial intelligence (AI) in aeronautical engineering is relatively recent. In 2020, aircraft manufacturer Airbus launched the first aircraft capable of taking off automatically using computer vision. Professor Georges Ghazi, from Systems engineering Department, is at the forefront of research in this field.
Thousands of satellites orbit above us, connecting, locating, and protecting us. But this invisible network, an essential part of our daily lives, is also a gateway to new forms of scrutiny, interference, and conflict. Wael Jaafar, professor in the Department of Software Engineering and IT, is interested in these issues.