Machine Learning-based Intrusion Detection in IoT Systems

IoT device security has become a major concern as these resource-constrained devices are increasingly deployed at scale, limiting the feasibility of advanced onboard security mechanisms. This challenge is particularly critical for Mobile Network Operators (MNOs), who must protect their infrastructure and customers from faulty or malicious IoT devices. To address this, MNOs rely on IoT […]

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Agrilo and Agrilo-VR: Field Validation and Real-World Deployment of AI-Driven Soil and Nutrient Sensing Systems in Kenya

Healthy soil is crucial for global food security, yet farmers face declining fertility, nutrient depletion, and rising fertilizer costs. These challenges are particularly pressing for smallholder farmers in Kenya, where timely soil information is limited. This project connects researchers from Canada and Kenya to advance Agrilo, a real-time soil nutrient sensing system, and Agrilo-VR, an […]

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G-BSIEM-PQC: Hybrid Consensus Architecture for Quantum-Resistant Security Information and Event Management (SIEM)

The G-BSIEM-PQC project is a pioneering cybersecurity initiative designed to fortify enterprise Security Information and Event Management (SIEM) systems against the existential threats posed by the post-quantum era. As quantum computing capabilities advance, the traditional cryptographic algorithms currently protecting critical infrastructure are becoming vulnerable to “harvest now, decrypt later” attacks. This research addresses this urgent […]

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Research and Development to Enhance Data Collection Functionality, Usability, and Outreach For An Educational Survey Platform

Xello is a leading college and career readiness platform designed to engage K-12 students in career exploration, academic planning, and skills development. It provides educators with data-driven insights to support student success, helping school districts make informed decisions. Xello is looking to enhance its survey platform to improve their means of data collection, enhance the […]

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Agrilo and Agrilo-VR: Field Validation and Real-World Deployment of AI-Driven Soil and Nutrient Sensing Systems in South Africa

Healthy soil is crucial for global food security, yet farmers face declining fertility, nutrient depletion, and rising fertilizer costs. These challenges are particularly pressing for smallholder farmers in South Africa, where timely soil information is limited. This project connects researchers from Canada and South Africa to advance Agrilo, a real-time soil nutrient sensing system, and […]

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Mitigation des impacts opérationnels des erreurs de contextualisation dans une scène routière

E-Smart commercialise une solution innovante qui offre aux gestionnaires un moyen automatisé d’assurer la conformité aux limites de vitesse, sans qu’ils aient à surveiller les camionneurs. Une interface placée à la commande d’accélération contrôle activement la vitesse du camion en temps réel, en se basant sur la cartographie des limites de vitesse. Toutefois, lorsque la […]

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L2M – Development of a modular AI voice architecture for automated dental front desk operations

Orbis Assist is developing “Ava,” an intelligent voice assistant designed to function as a fully automated receptionist for dental clinics. This internship project focuses on building the secure software that allows the AI to manage phone calls, schedule appointments, and answer patient questions by directly connecting with the clinic’s internal calendar systems. By automating these […]

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Supporting Review of Topic-Based Code Changes

La revue de code est essentielle pour assurer la qualité logicielle, et une revue efficace nécessite de comprendre à la fois la modification individuelle et le contexte plus large dans lequel elle s’inscrit. Dans de nombreux projets, y compris ceux utilisant Gerrit, les développeurs regroupent les modifications liées en un « topic » qui représente […]

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IA générative et intelligence éducative : vers des évaluations intégratives multimodales

Les systèmes tutoriels intelligents sont de plus en plus utilisés pour offrir un apprentissage personnalisé dans les environnements numériques. Ils permettent d’adapter les activités aux besoins de chaque apprenant, de suivre sa progression en temps réel et de fournir un accompagnement individualisé. Ces technologies génèrent une grande quantité de données sur la façon dont les […]

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L2M – WayLuma

This project will develop an easy-to-use system that helps students automatically fill out university application forms by organizing their information and entering it into different school portals. The goal is to save students time, reduce mistakes, and make the application process less stressful. For North Forge, this project provides a chance to support a new […]

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