Development of A Marine Propulsion System for Shallow-water Icebreaker

Shallow Arctic waters present unique challenges for icebreaker design. A medium-to-large icebreaker intended for these environments will need to balance icebreaking capability with shallow-draft constraints, ensuring safe operation in shallow and deep waters. This project will address the key performance challenges in propulsion. The demand for the propulsion systems would be high in ice-covered shallow […]

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Projet d’augmentation de la distance de 30 cm à 100 cm

Son premier produit, déjà en phase de développement, permet de recharger sans fil des fauteuils roulants électriques dans les centres pour personnes âgées, améliorant ainsi l’autonomie des usagers et réduisant la charge de travail du personnel soignant. Dans le cadre de ses efforts pour développer de futurs produits et augmenter les performances de ses systèmes, […]

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Developing a Reliability-Based Life-Cycle Cost Model for Electric Motors

The proposed internship aims to study how the characteristics and reliability of Permanent Magnet Electric Motors (PMs) affect their life-cycle cost (LCC), including initial, maintenance, and energy costs. First, the effect of the variation of design variables on the performance and initial cost of PMs will be assessed and the cost will be correlated to […]

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L2M – Subsurface Energy Storage Software

This four-month business strategy internship will focus on developing the commercialization plan for a new startup founded at the University of Alberta. The intern will take the company’s proven software, a ‘digital twin’ that helps energy companies safely manage their underground storage assets and prevent multi-million-dollar failures, and conduct the necessary market research to build […]

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High fidelity remote manipulation of microrobots by a new generation of electromagnetic control system

The proposed research intends to develop a generalized approach for the remote control of untethered effectors with less feedback required for stable control. Effectively, this approach doesn’t attempt to control effectors directly, instead aiming to control a weighted distribution of possible locations. In situations where imaging bandwidth is sufficient for stable control, the controlled distribution […]

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High-fidelity simulation of multiphase and thermal processes in hydrogen storage and refueling

Hydrogen will play a key role in Canada’s transition toward low-carbon energy due to the possibility of carbon-neutral production, its clean combustion, and high energy content per unit mass. As hydrogen is typically stored at high pressure (700 bar or more), rapid compression during refueling can generate substantial heat, which can cause pressure overshoot, underfilling, […]

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L2M – Vision-Based Upper-Limb Assistive Devices

Upper-limb assistive devices remain hard to use because control often feels unnatural and tiring, which leads to abandonment. The intern’s M.Sc. project proposes a non-invasive, vision-based control layer that links what the user looks at to objects in the real-world 3D environment and predicts natural hand paths and joint actions. This approach is intended to […]

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L2M –An energy efficient technology for enhancing indoor air quality

This project focuses on commercializing a novel heat-based air disinfection technology. It aims to validate market needs, assess customer segments, and develop a viable business model to bring an energy-efficient purification solution to market, improving public health and making air disinfection affordable.

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Développement mécanique d’une plateforme d’entraînement à résistance active

L’évaluation et la rééducation musculaire rencontrent actuellement des défis importants en termes de précision, de personnalisation et d’objectivité. Les méthodes d’évaluation traditionnelles reposent principalement sur des tests subjectifs de force statique réalisés par le physiothérapeute. Ces approches présentent plusieurs limitations : elles ne fournissent pas de données quantitatives précises et évaluent le travail musculaire uniquement […]

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L2M – AI Chat Agent for Proposal Generation and Knowledge Reuse

This project is creating a smart chat assistant that uses Artificial Intelligence (AI) to help construction and engineering companies write accurate proposals, like bids for major jobs. The assistant is trained on the company’s successful past proposals, making it a secure, private expert. When a team uploads a new Request for Proposal (RFP), the assistant […]

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