Combining Music and Non-Invasive Brain Stimulation to Improve Gait in Parkinson’s Disease

Parkinson’s disease (PD) is a progressive neurological condition that affects movement, often leading to slower walking, difficulty maintaining rhythm, and increased risk of falls. This project investigates whether combining two approaches—transcranial direct current stimulation (tDCS), a form of non-invasive brain stimulation, and rhythmic auditory stimulation using music—can help improve walking in individuals with PD. The […]

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Pathfinder & AI Language Tutors: Smart Tools for Canadian PR Success

The proposed research project will focus on developing and improving an AI-powered tutoring app designed to help prospective immigrants enhance their language skills for permanent residency applications. Interns will refine the app’s features, including personalized lessons, real-time feedback, and exam simulations for IELTS and CELPIP. This project benefits the partner organization by offering an effective, […]

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The Second Cycle of Oral History Interviews to Preserve Canadian Engineering Achievements

This second cycle of oral history interviews will continue to preserve for posterity first-person perspectives of the careers and achievements of eminent Canadian engineers since the 1960s. Interviewees will be individuals who have made significant contribution to Canadian achievements in biological, civil, chemical, dam, geotechnical, mechanical, nuclear and tunnelling engineering fields. As much as possible, […]

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Network Facility Location for Eco- and Cost-Efficient Chemical Supply Depots Supporting Municipal and Industrial Water Treatment

USP currently works with storage facilities in a manner akin to a broker network, relying on numerous third-party locations for freight-in and warehousing. USP is considering a strategic revision of its supply chain dynamics, with the intention of optimizing their current supply network in an effort to become more sustainable and cost effective. USP is […]

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Bridging the EV Capital Gap via a Green Fintech Operating Model.

This project will help Avonhead Electric build a repeatable, data-driven way to finance EV charging infrastructure. The intern will turn Avonhead’s current manual, one-off deal work into a standardized underwriting and reporting system by creating (1) a risk scorecard that combines traditional credit metrics with real-world charger performance data (like uptime and utilization), (2) a […]

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Methods for Recording Soundscapes Using New Technologies

This project aims to collect high-quality sound recordings of diverse environments for subsequent analysis and annotation to support the training of artificial intelligence models. The project will equip the intern with the skills needed to complete their PhD at their home institution following the international experience. Both institutions will benefit from further relationship-building, as the […]

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Development and Assessment various Materials for the Adsorption of Ethylene for Prolonging Vegetables and Fruits Shelf-life

Preserving fruits and vegetables represents a significant global challenge due to their high susceptibility to spoilage driven by the phytohormone ethylene. Ethylene accelerates ripening, leading to a rapid decline in the quality and shelf life of produce, ultimately causing substantial postharvest losses. Currently, traditional approaches, such as potassium permanganate, are widely used for ethylene absorption […]

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Performance-Based Control of Early-Age Cracking in High-SCM Flat Slabs Using Experimental Characterization and Numerical Modelling

This project will help a structural engineering firm reduce unwanted cracking in newly cast concrete floor slabs. The intern will test several concrete mixes that are commonly used by the partner, including one that has cracked in real buildings and others that have performed well. In the laboratory, the intern will measure how much each […]

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On-Prem / Sovereign AI Coding Assistant for Privacy-Constrained Tasks

This project will create a privacy-preserving AI coding assistant that runs directly on a user’s computer instead of relying on cloud services. Many organizations, such as governments and healthcare providers, cannot use cloud-based AI tools because of data security and confidentiality concerns. The system will automatically detect the user’s hardware (CPU, GPU, memory) and select […]

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