Développement de composants et lasers fibrés

Fondée en 2000 et basée à Québec, TeraXion (maintenant indie/Teraxion) est reconnu comme l’un des principaux fabricants mondiaux de technologies photoniques de pointe, notamment dans les domaines des réseaux de Bragg à fibre optique (FBG), des lasers à largeur de raie étroite et de l’optique intégrée, son équipe dédiée est composée de plus de 60 […]

Read More
PQC Hybrid Certificates Benchmarking

With the rise of powerful new quantum computers, the digital locks we currently use to protect our online information, like banking details and private messages, could soon be broken. Systems like RSA and ECDSA, which are common today, might not stand a chance against quantum attacks. To stay ahead of the game, experts at the […]

Read More
Évaluation longitudinale des impacts d’essais de vélo à assistance électrique (VAE)

(1) Équiterre est une ONG canadienne opérant au Québec. Sa mission est de promouvoir des objectifs écologiques, équitables et sociaux. Elle mène de nombreuses activités pour promouvoir ces objectifs auprès des citoyens, des organisations et des gouvernements. Équiterre a plus de 25 ans d’expérience dans la sensibilisation et la mobilisation pour le développement durable. Le […]

Read More
Developing open source user tools for Planet’s hyperspectral remote sensing data

This project will help make it easier for scientists and data engineers to work with a powerful type of satellite data called hyperspectral imagery, which captures detailed information about the Earth’s surface. While this data can support important work in areas like climate, agriculture, and environmental monitoring, it’s often difficult to use without specialized training […]

Read More
Improving the Detection of Performance Regressions with Change Point Detection Methods

As software systems evolve, the software performance has to be constantly monitored to ensure that systems are responsive and economically sustainable. Companies like Mozilla have dedicated teams and an automated workflow to detect performance regression. However, due to the nature of performance measurements, the automatic detection of regressions is bound to flag issues falsely, which […]

Read More
Optimization of Super Heavy Lift Drone Design utilizing Computational Fluid Dynamics and a Design of Experiments approach

Heavy-lift drones offer promising solutions for challenges in wildfire response, construction, and logistics, thanks to their rapid deployment and lower environmental impact. As Pulshn focuses on developing drones capable of transporting heavy payloads, this research aims to support the optimization of drone design for enhanced performance and reliability. Specifically, the study will explore the aerodynamic […]

Read More
Camera data collection and modelling in CEA

Controlled environment agriculture (CEA) is moving towards innovative, remote monitoring instrumentation and artificial intelligence solutions that can predict and detect physiological plant characteristics that will improve crop yield. Creating a reliable plant health monitoring system is critical to oversee plant health, track growth rates/yield, and identify diseases, coupled with prevention strategies that safeguard crop integrity […]

Read More
Optimization of porewater extraction techniques to evaluate thiosalts formation and mobility in unsaturated tailings

Large volumes of mineral waste are inevitably generated as mineral resources are critical for economic development, technology innovation and energy transition. Tailings storage facilities (TSF) store mineral waste that initially remain exposed to precipitation and atmospheric conditions. This leads to a series of geochemical reactions releasing dissolved constituents in tailings porewaters. Hydrogeological conditions play a […]

Read More
AI Integration in Next-Generation Cybersecurity Operations

The University of Guelph and eSentire are partnering to improve how cybersecurity teams use AI. The project focuses on: – Securing AI-generated code – Identifying and fixing new types of security risks introduced by tools like ChatGPT and GitHub Copilot. – Enhancing Security Operations Centres (SOCs) – Automating repetitive analyst tasks so teams can focus […]

Read More
AI-Assisted Information Retrieval for Network Operations Centres

This project aims to make it easier for people to access valuable information stored in complex company databases—without needing to know technical coding languages like SQL. Today, many employees and customers can’t easily search these databases because doing so requires specialized skills, which creates delays and extra training costs. Our research will explore ways to […]

Read More