In the context of developing an academic activity as part of the intern’s postgraduate studies and building a new international research collaboration, the University of Alberta and the Tecnológico de Monterrey propose this research stay project, promoting a strategic initiative of artificial intelligence (AI) and the establishment of Industry 5.0 in fields such as agriculture […]

This project will design a new AI system to help Ciena’s Blue Planet division automatically understand and solve complex problems in communication networks. Currently, AI tools can only answer simple, fact-based questions. The research intern will develop a more advanced “GraphRAG” system that connects all network data—like equipment status and error logs—into a smart knowledge […]

This Master’s thesis project, conducted under a Mitacs Globalink research internship, aims to address persistent challenges in hospital pharmaceutical supply management—such as fluctuating medication demand, supply-chain delays, and inefficient manual forecasting—by developing an end-to-end AI-enabled solution. Using a large dataset of 6 million prescription records and 2 million stock movement entries, the student will apply […]

The project explores how to enable robots to perform multi-step tasks in realistic, changing environments by integrating visual information in different aspects of planning. Instead of assuming a perfect internal map of all objects, we will use camera input both to understand the scene and to guide the robot’s decisions during planning and execution. Demonstrations […]

This project will help Pure Environmental improve how it collects and maps important environmental and regulatory data. Pure has already built an initial version of a mapping tool in ArcGIS, and the intern will help make this system more reliable, easier to use, and able to pull in new information automatically. By strengthening this platform, […]

Code review plays a key role in software development by helping teams understand why a change was made and how it fits into the broader project. A major part of this understanding comes from the commit message, which is supposed to accurately describe the intent and scope of the corresponding code changes. However, in many […]

This research project investigates how agentic AI—autonomous AI agents capable of perceiving, reasoning, coordinating, and acting in dynamic environments—can be advanced to protect recommendation systems against increasingly obfuscated shilling attacks. Shilling attacks occur when malicious actors inject fake profiles, ratings, or reviews to manipulate recommendation outcomes for financial, competitive, or political advantage. As attackers adopt […]

In this project, students are expected to set up a testbed and run experiments to evaluate the impact of integrating post quantum cryptography (PQC) into IoT devices. The evaluation metrics include CPU usage, memory usage, bandwidth usage, and energy usage. Various PQC mechanisms will be evaluated on MQTT over TCP+TLS, including ML-KEM, HQC, ML-DSA, and […]

In this project, we will design and develop an IoT device auto-detection model and deploy it on a Raspberry Pi. The model will follow a continuous machine-learning approach and will be trained using an IoT dataset developed in our lab. The Raspberry Pi will function as a Wi-Fi router, allowing IoT devices to connect to […]

This project aims to modernize Trueffect’s end-to-end data workflow by designing and enhancing a secure digital platform for client data exchange, validation, and analysis. The organization currently handles complex analytical datasets from multiple client partners, requiring a more efficient and scalable approach to ingestion, quality assurance, and internal analyst workflows. The proposed initiative introduces a […]

This project aims to develop an optimal Agentic AI Framework for next-generation intelligent mobility systems. Rather than focusing on a single algorithm or application, the research seeks to establish a generalizable architecture that integrates advanced optimization methods with graph-based large language model orchestration. Demand-Responsive Transit (DRT) serves as the primary testbed due to its inherent […]

Refactoring is an important software development activity that employs various techniques to enhance the structure and quality of source code without altering its functionality. Over the last two decades, researchers in the field have proposed several tools and techniques to enable automated refactoring. Despite a plethora of literature, though some steps can be automated, overall […]