This project will focus on the development of a set of quantum computational algorithms/routines for quantum crystallography [1-3] — a field which merges quantum chemistry electronic structure modelling and crystal structure optimization based on information derived from experimental x-ray scattering data. The aim is to look for quantum computational advantage and/or utility for optimizing crystal […]

La pratique du vélo de montagne connaît une croissance rapide au Québec, mais il n’existe aucune progression pédagogique claire pour les jeunes de 7 à 14 ans. Cette lacune entraîne des risques accrus d’accidents et des défis pour les centres de vélo, notamment en matière d’assurance. Ce projet de 6 mois vise à développer une […]

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 […]

Chronic pain is one of the most common and debilitating conditions worldwide, placing a significant burden on healthcare systems. (1) In musculoskeletal injury rehabilitation, fear-avoidance beliefs—where athletes avoid movement due to fear of pain or reinjury—are strongly associated with greater pain, reduced function, and prolonged recovery. (2) Yet, this psychosocial dimension has yet to be […]

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 […]

There is a lack of an established protocol for the use of 3D scanning for capturing the residual limb shape in prosthetics and orthotics daily clinical practice. A lack of consistency in scanning procedures, scanner choice, and shape of artefact in current studies presents a need for standardization of protocols and a benchmark for measuring […]

This project develops a dynamic, self-learning wildfire evacuation routing system designed to improve public safety during fast-moving wildfire events. Traditional routing methods can identify effective paths but often fail to adapt quickly to rapidly changing fire behaviour and real-world driver responses. To address these limitations, the project introduces a Deep Reinforcement Learning (RL) framework in […]

Increasingly, agrifood processors demand verifiable evidence of sustainable farming practices through producers’ use of best management practices (BMPs) to meet corporate Sustainable Development Goals (SDGs). Food processors also encourage producers to reduce the carbon footprint of crops sold to prairie agricultural processors to meet the same SDGs. Producers, therefore, need to demonstrate the impact of […]

The research project’s goal is to quantify the societal services that nature preserves provide relative to biological richness. In other terms, the value of a historically biodiverse green space in a city compared to a standard novel green space to people (Indigenous and non-Indigenous). The preserve in my study encompasses endangered grassland habitat (Garry Oak […]

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 […]

Zeuron is a startup developing GamBit, a brain-computer interface (BCI) that lets people control video games using their brain signals. This technology is especially designed for individuals with neuromotor conditions like paralysis or muscular dystrophy, who often face barriers to traditional forms of play and communication. The project will involve two interns—one in computer science […]

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 […]