Hydrogen is expected to play a key role in Canada’s transition to a clean and sustainable energy system, but current hydrogen production technologies still face challenges related to efficiency, durability, and cost. This project explores a new approach to improve hydrogen production and energy storage by combining light-responsive semiconductor materials with electrochemical devices. The research […]

A novel astaxanthin-secreting microorganism has been developed as a part of the intern’s graduate research focus. This technology has applications primarily in the aquaculture and nutraceutical industries. In aquaculture, it can be used to better deliver astaxanthin, an essential nutrient, to salmon and trout compared to current methods. This technology has the potential to reduce […]

The proposed project focuses on commercializing a proprietary manufacturing technology called Compressible Flow Exfoliation (CFE) for producing high-quality 2D materials like graphene and boron nitride. Traditional production methods, such as chemical exfoliation, are slow, expensive, and generate significant toxic waste, hindering widespread industrial adoption. The CFE method offers a sustainable, physics-based alternative that allows for […]

This project will develop and test a new material for lithium-ion batteries, creating an anode that can store more energy, charge faster, and last longer than current technology. This development is crucial to improve electric vehicles and enable more renewable energy storage. The material is a silicon particle wrapped in a network of strong silicon […]

In today’s multicultural world, learning new languages has become essential for students’ academic, personal, and professional development. Skilled reading requires the coordination of visual, phonological, and broader cognitive skills, which may create unique language specific challenges. This project examines first- (L1) and second-language (L2) reading profiles in university students with and without dyslexia, focusing on […]

This project will examine whether personalized, AI-generated stories in the StoryMii app can help children who have both ADHD and reading difficulties learn new words, comprehend stories, and stay engaged with reading. Children with these challenges often have trouble sustaining attention and decoding letters, so generic texts often cannot keep them engaged long enough to […]

This project will study whether soil in the Town of The Blue Mountains is safe and suitable for urban and community farming. The Town has a long history of farming, particularly in apple production, where older agricultural practices may have left behind small amounts of chemicals or metals in the soil. With growing interest among […]

Efficient and low-cost electrocatalysts are crucial for numerous industrial clean energy applications. However, the traditional catalyst discovery framework is constrained by the lengthy duration required for synthesizing and testing one single catalyst, as well as the human error introduced that compromises experimental repeatability. This project will redefine the catalyst development pattern by employing a streamlined, […]

This project aims to help hospitals reduce the spread of airborne infections—such as influenza, COVID-19, and other respiratory illnesses—by improving how a new disinfecting light technology called far-UVC is deployed. Far-UVC light can safely kill viruses and bacteria in the air while people are present in the room, but hospitals currently have no reliable way […]

The project is the direct continuation of application #IT47869, extending the work initiated in the first 24-week phase toward a more scalable, robust, and deployment-ready Large Language Model framework for healthcare. While the initial unit focused on designing the system architecture, implementing explainability and privacy mechanisms, and establishing preliminary evaluation methods, this second phase will […]

This project aims to help ALS improve how employees access and use information by creating an advanced AI assistant that can understand questions, search internal documents, and provide accurate answers across HR, training, and technical departments. ALS manages large amounts of complex material—such as lab procedures, policies, and technical reports—which can be difficult and time-consuming […]

This project will help a mining company turn its scattered data—reports, manuals, work orders, and sensor readings—into a smart, searchable “knowledge library.” Using large language models (LLMs), such as GPT, the intern will design a simple map of key mining concepts (equipment, events, hazards, procedures), automatically pull important facts from documents and charts, and build […]