Conductive Battery Binders

The increasing demand for lithium-ion batteries in daily applications has driven the need for improved battery technology. However, the separation of battery electrode components is a key factor leading to a decrease in battery lifetime. Traditional binders, a critical component in batteries, have been associated with high costs and environmental concerns due to the use […]

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Anti-islanding detection for renewable energy systems indistribution system

Integration of renewable energy systems into grid is an effective solution to the electric energy shortage and environmental pollution. A number of technical challenges may arise with increased grid-connected renewable energy systems. One of the most important issues is how to achieve the islanding protection. Many anti-islanding detection methods have been reported for single renewable […]

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Blockchain-Enhanced Fake News Detection in Social Networks

This project aims to take advantage of the blockchain ecosystem to detect fake news. This is done by designing a rating system that works on the blockchain network through which a group of verified reviewers will rate the news prior to broadcasting. News with inadequate verification from reviewers will be marked as ‘fake’. Afterward, the […]

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Transformation numérique et gestion du changement dans un organisme à but non lucratif (OBNL)

La démarche d’une organisation à but non lucratif (OBNL) vise à réussir sa transformation numérique tout en créant de la valeur pour ses clients, projets et services. Les étapes clés du processus comprennent l’analyse de l’organisation avant sa transformation numérique, l’identification des domaines prioritaires d’intervention, l’évaluation de son niveau de maturité, l’identification des besoins en […]

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Parameter Optimization for Additive Manufacturing using Machine Learning

Additive manufacturing (AM), also known as 3D printing, is a process of building products with the material layer by layer. It can produce the products with complex geometries in a simple setup. But it is a challenge in selecting right printing parameters to build a quality part. This project proposes using machine learning techniques for […]

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Characterization of high-amylose durum wheat starch and flour to promote industrial applications

This project aims to investigate the structural features, functional properties, and nutritional quality of durum wheat flours and respective isolated starches of five different lines varying in amylose contents. Flours of two selected durum wheat lines (one normal and one high-amylose) will also be used to produce high-quality and nutritious pasta products and evaluated to […]

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Constraints Enforcement Using the Lagrange Multipliers Method for Aeriservoelastic Applications

The ever-increasing need for better performing, safer and environmentally friendly aircrafts, necessitates the continuous refinement of the predictive tools that are employed during the design and certification phases. The field of aeroservoelasti city, which encompasses airframe flexibility, control laws and aerodynamics, is of paramount importance in the design of modern aircrafts given their increased airframe […]

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PVC composites to enhance dimensional stability and fire resistance

The objective of this research is to develop novel polyvinyl chloride (PVC) composites with enhanced performance attributes intended for exterior cladding in the construction industry. The partner, Cornerstone Building Brands Canada Inc., through this work is continuing their relentless pursuit to align with future construction demands, thereby enhancing the value of polymeric siding in the […]

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Towards Inclusive Mobility: Designing Augmented Reality Interaction with Autonomous Vehicles for Older Adults

Autonomous vehicles (AVs) represent an emerging technology, and initially, individuals may feel less confident in autonomous driving systems without human drivers. A proper communication medium between passengers and AVs can facilitate a safe and reliable experience. Older adults are expected to be one of the largest user cohorts of AVs as they support aging in […]

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Diffusion Language Models for Conditional Code Generation

Have you heard about DALL·E 2, Midjourney or Stable Diffusion? Or perhaps you were fooled by the picture of the pope in a puffy white coat, or by some other deepfake memes involving stars and/or politicians? Well, good or bad, these feats are made possible by a technology called generative diffusion models. Although they are […]

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