Wildland fires in Canada pose significant risks, causing extensive damage to ecosystems, property, and human life. The record-breaking 2023 wildfire season, which devastated 18 million hectares, underscores the urgent need for improved detection and mitigation strategies. Recent advancements in deep learning have demonstrated strong potential in early wildfire detection and fire spread prediction, providing critical […]

Le cancer représente un défi majeur pour la santé mondiale avec des millions de nouveaux cas chaque année. L’intelligence artificielle (IA), notamment l’apprentissage profond, a amélioré la détection des tumeurs, mais transformer les grandes quantités de données médicales en informations cliniquement exploitables reste difficile. L’informatique quantique émerge comme une technologie prometteuse, notamment via l’apprentissage automatique […]

This project aims to develop a large language model (LLM)-powered social networking platform specifically designed for pet owners and their pets. The goal of this project is to develop a large-scale, AI-powered social networking platform for pets, bringing together pet owners, pets, and charitable organizations. Pet companionship is a growing aspect of Canadian life, especially […]

This project aims to create a system that can turn simple text descriptions of designs into detailed 3D models automatically. By combining shape grammar rules (which act like guidelines for building shapes) with advanced language-processing AI models called transformers, the system will understand natural language inputs and generate precise 3D representations known as Boundary Representation […]

The proposed project aims to develop a new method for finding unusual patterns in data represented as graphs, such as social networks, communication networks, or financial transactions. We proposed a novel method Graph Kolmogorov-Arnold Networks(G-KANs) to improve how we detect anomalies, which are important for identifying security threats or fraudulent activities. This project will help […]

We are developing a new system to help banks and financial institutions better assess credit risk—the chance that a borrower might not repay a loan. Traditional methods use standard data like credit scores, but they often miss valuable information hidden in detailed credit reports. Our project aims to use advanced artificial intelligence, specifically transformer models, […]

In this project, the intern student is expected to develop develop a data collection tool that can collect data traffic from IoT devices and label them accordingly. The intern student will then use the tool to collect and label traffic from over 100 IoT devices.

Technical Analyst to enhance service delivery processes and ensure digitization of key data.

Scatterlink is a nuanced technology company that delivers advanced inventory and asset management solutions design specifically for asset- heavy industries. Through the use of Radio- Frequency Identification technology (RFID), Scatterlink bridges the gap between physical assets and digital management, providing real-time visibility, tracking, and actionable insights. The asset-heavy industry faces substantial challenges with manual, labor-intensive […]

This project aims to strengthen RabbitRun Technologies’ (RRT) cybersecurity capabilities in software-defined wide area network (SD-WAN) solutions for small office/home office (SOHO) environments. It addresses the critical need for secure and reliable connectivity in remote and small business settings by integrating federated learning into RRT’s systems. This approach enables RRT routers to collaboratively improve intrusion […]

In Networked Control Systems (NCS), computation is outsourced to an external party, which we call a controller. This type of service has been gaining popularity in recent years. However, there is the threat of the controller wanting to read the commands passed onto it, thus violating confidentiality. To avoid this, we seek to incorporate cryptographic […]

We aim to develop new techniques in 5-axis Computer Numerical Control (CNC) machining and 5-axis 3D printing, which are advanced methods used in modern manufacturing. Our project focuses on creating collision detection algorithms to prevent accidents with expensive machinery, ensuring safety remains a top priority. We also plan to develop tool path planning algorithms to […]