L2M – Low-carbon modular concrete buildings

Housing shortage is one of the most serious societal issues that Canada is dealing with. On the other hand, the shrinking number of workforce is expected to increase the construction duration and cost of the new project. Furthermore, the influence of climate change in the form of wildfires and hurricanes threatens the conventional methods of […]

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L2M – SensRIM

For manual wheelchair users, mobility means pushing thousands of times each day, often leading to pain, fatigue, and upper-limb injuries. SensRIM is an innovative, sensor-integrated ergonomic pushrim designed to transform this daily effort into data-driven mobility, enhancing independence, comfort, and health outcomes. By embedding soft tactile sensors that directly measure propulsion forces and detect user […]

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Preliminary Evaluation of Bonding Polydopamine and Carbon Nanomaterials on The Surface of Fabrics and The Effect on Thermal Conductivity

Intern(s) will help Thermweave develop washable fabrics that move heat away from the body with enhanced thermal conductivity. They’ll develop dip-coating recipes that use tiny carbon-based particles, dip common fabrics (cotton, polyester) in them, and fine-tune steps like time, temperature, and drying. The interns will test how well the fabric moves heat, and how it […]

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ERP System Rollout and Optimization at Mekapisk Enviroblu

This project will support the final implementation phase of an ERP (Enterprise Resource Planning) system at Mekapisk EnviroBlu Inc, a growing Indigenous-owned company based in Newfoundland and Labrador. Building on earlier research and development efforts, this phase will focus on optimizing system workflows and enabling future integrations such as EDI (Electronic Data Interchange), which will […]

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Development of highly flame-retardant polyurethane composites for pipe liners

Polyurethane is a flammable polymer that can release toxic gases when exposed to fire, restricting their application in areas such as pipe liners. This project aims to develop fire-proof polyurethane composites pipe liners with a long cycle time and good stability in harsh environments. Given the increasing demand for advanced materials in industry, we will […]

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«Shallow Water Extensions to Complex Fluid Dynamics»

The realism and interactivity of large water bodies—such as oceans and rivers—are essential for creating immersive and dynamic open-world environments. With the rapid advancement in GPU computing power, physical simulation techniques are now a feasible solution for significantly enhancing the realism of water systems in real-time applications. Shallow water simulations, for example, provide efficient 2.5D […]

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Camions de déneigement, sécurité et leur résilience

Le stagiaire travaillera sur l’amélioration de la sécurité et de la connectivité des véhicules industriels en intégrant des technologies IoT (Internet des objets). Concrètement, il s’agira de concevoir et tester des systèmes intelligents permettant de suivre en temps réel l’état des véhicules, de détecter d’éventuels problèmes techniques et de sécuriser les données échangées. Une attention […]

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Santevia Water Systems

Santevia Water Systems Inc., a Canadian leader in mineralized water filtration, is on a mission to promote healthy living through accessible, great-tasting water. While Santevia has built a strong reputation in the health and wellness space, its brand identity and visual communications require innovation to remain competitive in a rapidly evolving digital landscape. The challenge […]

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Development of Autonomy for Log-loading Machines in Canadian Mill Yards

The timber-harvesting and processing industries anticipate that the use of robotics and AI technologies will increase productivity, safety and job satisfaction of machine operators to help address the shrinking labor force. We have engaged with our partner, FPInnovations, on research to increase the autonomy of log-loading machines with the goal to demonstrate the technology on […]

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Enhancing Heat Treatment Processes through Machine Learning

This research project aims to develop a comprehensive predictive framework for heat treatment furnaces to enhance operational efficiency, product quality, and environmental sustainability. The project focuses on creating a data preprocessing pipeline tailored for big machinery sensor data, innovative AI-enabled anomaly detection models, real-time furnace operation analysis, and quality prediction models. Key objectives include obtaining […]

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