Evaluating the Pleins Rayons model for inclusive employment of individuals with intellectual disabilities or autism: A potential pathway for the development of inclusive employment in Québec?

In Québec, few local organizations focus on inclusive employment and training for individuals with autism or intellectual disabilities (ID). Pleins Rayons is one such organization, with promising programs. However, existing research lacks comprehensive evaluation of its impact. Our proposed research aims to fill this gap by assessing Pleins Rayons’ activities and their effects on individuals […]

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Implementation and evaluation of a workplace mental health intervention for skilled trades apprentices and contractors in Ontario, Canada

Within the skilled trades industry, there is a pressing need to attract new workers and retain old workers. This need is especially apparent today due to the aging workforce and difficulties finding apprentices who are qualified for the role. Unfortunately, the mental and physical health of apprentices often are overlooked. To address these issues, we […]

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Development of a Computational Model for Characterizing Viscoelastic Polymer Solutions

Understanding the stretchy qualities of complex fluids is crucial for industries such as inkjet printing, food manufacturing, fiber spinning, and pharmaceuticals. Special devices called filament and capillary breakup rheometers are often used to study these properties. Despite this, one of the biggest challenges in these industries is accurately measuring the “relaxation times” — a key […]

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High Efficiency RFIC Power Amplifier

The energy consumption by Radiofrequency Integrated Circuit Power Amplifiers (RFIC PAs) in mobile handsets is a major factor determining the battery life of this equipment. Any increase in the power efficiency of RF PAs will reflect significantly as an increase in the battery life of the portable wireless devices. This work addresses the need to […]

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Reinforcement Learning for Micro-Grid Control and Optimization

This project aims at optimizing the use of energy in micro-grids. Reinforcement learning, a branch of artificial intelligence, will be used to reduce the consumption of fossil fuel by better deciding when to charge or discharge batteries. Using reinforcement learning for this automated decision making problem could be interesting as it should allow to handle […]

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Development of optimized one-way vent valves for coffee packaging

In this project, the intern will tackle the production challenges currently faced by the industrial partner. Specifically to overcome inconsistent open/close pressures of a low profile vent valves intended for active packaging of roasted coffee. Vent valves, made of multiple layers of polymeric materials, are capable of relieving the internal pressure of a coffee package […]

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Geotechnical assessment of lightly contaminated soils for increased reuse

CarbOne Biodiversité has engaged with our research team to evaluate potential uses for lightly contaminanted soils to further develop the circular economy. The project will evaluate geotechnical properties of lightly contaminated soils to develop a list of proposed uses (e.g., foundations, fill materials, etc.). CarbOne Biodiversité aims to merge the needs of economic development with […]

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Fine tuning an LLM for patent drafting

The general objective of this research is to investigate the effectiveness of fine-tuning large language models (LLMs) for the purpose of enhancing patent generation and brainstorming processes across various domains. The project follows an agile project management approach, emphasizing continuous small releases. The project is important to XLSCOUT as it aims to enhance text clustering, […]

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