This research project aims to advance the development of reliable, interpretable, and causally grounded Artificial Intelligence (AI) methods by integrating neuro-symbolic reasoning into Large Language Models (LLMs), with a specific application to energy storage systems such as lithium-ion battery systems. While modern LLMs demonstrate impressive linguistic capabilities, they remain limited in their ability to reason […]

This project will explore and test the idea of BEsTech, a platform that helps companies find the right additive manufacturing (3D printing) services, materials, and experts faster and without relying on middle agents. Instead of building full software, the project will study real industry needs, test simple prototypes, and learn how people would use and […]

Canadians are paying for the climate crisis with the money, with their homes and with their lives. Fortunately, we have many transformatives technologies that can help mitigate this crisis. However, these technolgies are not as widely deployed as needed in part because they use very expensive materials, that are often also critical minerals that are […]

Title :System-of-Systems Solution with Quantum Simulation for Monitoring, Reporting, Validation, and Verification of GHGs/Carbon Cycle in Biodiversity Ecosystems for SEPLS to Strengthen Sustainable Overview: This project aims to develop a System-of-Systems solution using quantum simulation to monitor, report, validate, and verify greenhouse gases (CO2, CH4, N2O) and the carbon cycle in biodiversity ecosystems, particularly in […]

This project will deliver a software plugin and workflow that seamlessly connects a Building Information Modeling (BIM) tool with 3D concrete printing (3DCP) systems. During the design phase, it will enable construction teams to generate, review, and refine concrete printing paths directly within the BIM environment, removing the need for separate tools. During printing, a […]

The wind energy industry currently relies on a fragmented workflow involving multiple disconnected and expensive software tools for site assessment, energy calculations, and reporting. This inefficiency limits the number of sites developers can evaluate and creates a high barrier to entry for smaller developers and community projects. This project, titled WindChat, focuses on validating a […]

AEPONYX Inc. a développé une technologie innovante de guides d’ondes dans les isolateurs, révolutionnant l’intégration des isolateurs aux circuits photoniques et quantiques haute performance. L’intérêt du marché pour cette technologie est manifeste, mais la capacité de production demeure limitée en raison du caractère expérimental du procédé actuel. Le projet général vise à concevoir un procédé […]

Semiconductor materials are central to modern technology, from clean energy generation and quantum computing to high-speed communication. Among them, gallium nitride (GaN) nanowires have attracted strong interest for their excellent electrical conductivity, optical performance, and thermal stability. These qualities make them ideal for energy-efficient devices such as solar cells, LEDs, and photoelectrochemical systems. However, their […]

This project explores the use of GNSS reflectometry as a simple way to observe local sea conditions from the shoreline. The work focuses on understanding how signals from navigation satellites can be used to estimate changes in sea level and surface state without placing equipment in the water. During the internship we will study the […]

Disinfection is essential across households, industries, agriculture, and healthcare. But, choosing the right chemical disinfectant raises concerns, as residues, volatile compounds, and microbial resistance often force us to switch chemicals or increase dosages. What if we could disinfect without adding chemicals? Our project explores this possibility by altering the chemistry of air and water using […]

This project will explore the market needs for a new automated CO2 loading tester, a device designed to make carbon capture systems easier, safer, and more cost-effective to operate. The intern will interview potential users (e.g., engineering firms, research labs, and early adopters) to understand the challenges they face and the features they need most. […]

This project focuses on developing an innovative, smart, interactive toy robot for children aged 3 to 8. The robot combines emotional intelligence, educational content, and safety monitoring to provide a healthier alternative to mobile device usage. It serves as a companion that can recognize a child’s mood, offer adaptive learning activities, and detect environmental hazards […]