The internal combustion engine will remain the major source of transportation power for decades to come. This project will focus on the control technologies related to minimizing engine-out emission and improving fuel efficiency. Through collaborative control of the engine and its aftertreatment system, an overall optimization of emission and fuel consumption can be realized. The […]

The Canadian iron industry will benefit from increasingly streamlined data to support operational decisions, particularly as their steelmaking clientele is transitioning toward carbon-neutral steel production. The iron ore required for carbon-neutral steelmaking is especially high grade, in accordance with the DRI-EAF steelmaking route. Key operational decisions include the formation and depletion of stockpiles for different […]

This project will implement a more effective way to recycle composite materials.

FONEX Data System Inc. is developing solutions to address the challenges that telecommunication service providers face in upgrading their access networks to sustain the growth in data traffic. A critical component of the solutions is low cost widely tunable laser modules. In this internship project, a novel laser source is proposed based on external cavity […]

In the modern period of the Industrial Revolution, enormous emphasis is placed on green technology, including zero or less waste production, recycling resources, and using recyclable raw materials. According to the UN’s Sustainable Development Goals for a peaceful and flourishing world, materials science research focuses on recovering techniques and proper waste control are essential to […]

Incorporating renewable energy sources, such as wind and solar farms, have posed a challenge to electrical engineers due to their intermittent nature as the time and amount of energy generated depends on the weather. For this reason, grid stability and predicting the behaviour of renewables has been increasingly more important. In this study, we propose […]

The fast-growing market demand for food products with high nutritional qualities requires innovative and sustainable technologies. The proposed process employs an electrostatic technique to selectively charge proteins, carbohydrates, fibers, and other components in the bean flour and separate them based on the magnitude and type of their charge. The proposed methodology produces protein-rich flour from […]

This project is associated to the creation of a circular economy around styrene-based plastics such as polystyrene, acrylonitrile-styrene copolymer (SAN) and ABS (acrylonitrile-butadiene-styrene) terpolymer. Polystyvert has developed a technology that transform ABS post-consumer materials that come from electronics, car parts, toys ect. in a recycled SAN (rSAN) of high purity. This solvent-based technology is green […]

Multidisciplinary automated design-optimization (MDO) is a rapidly growing field of interest in sectors as diverse as architecture, engineering, science, and more. Often the computational cost of doing such optimization can be staggeringly high, requiring hundreds of computers connected through high-performance networks with complex custom designed software to support it. To address these problems, we propose […]

Advancements in the development of new materials suitable for structural applications are strongly influenced by the understanding of the governing deformation mechanisms. While these deformation mechanisms are mostly understood in simpler crystal structures of the basic metals, their fundamental understanding in complex crystals, which are frequently present in commercial alloys is still lacking. In the […]

Ce projet a pour objectif de développer un système d’intelligence artificielle avancé capable de détecter et de classifier les baleines dans des images capturées par un drone équipé d’une caméra thermique. Pour atteindre cet objectif, il utilise des techniques de pointe telles que les réseaux neuronaux convolutionnels (CNN), la segmentation d’images, l’extraction de caractéristiques et […]

Le projet de recherche vise à étudier comment les actions liées à la mise en œuvre et au développement des pratiques d’intelligence d’affaires et d’analytique (BI&A) peuvent créer de la valeur commerciale au sein des petites et moyennes entreprises (PME) manufacturières dans le contexte de l’industrie 4.0. Grâce à une approche méthodologique mixte combinant des […]