Interfacial Engineering of High Energy Density and Safe Solid-State Li Metal Batteries for Electric Vehicle Applications

Lithium-ion batteries (LIBs) have become a key player in the growing need for electric vehicles (EVs). State-of-the-art LIBs, using liquid electrolytes, still have significant challenges in their safety, lifespan, and energy density. Accordingly, solid-state lithium metal batteries (SSLBs) have recently been attracting increasing research and industrial attention due to their ability to overcome intrinsic disadvantages […]

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Interfacial Engineering of High Energy Density and Safe Solid-State Li Metal Batteries for Electric Vehicle Applications – Year two

Lithium-ion batteries (LIBs) have become a key player in the growing need for electric vehicles (EVs). State-of-the-art LIBs, using liquid electrolytes, still have significant challenges in their safety, lifespan, and energy density. Accordingly, solid-state lithium metal batteries (SSLBs) have recently been attracting increasing research and industrial attention due to their ability to overcome intrinsic disadvantages […]

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The role of digitalization and value chain management for competitive advantage in forest industry transformation to the bioeconomy

The forest industry is going through a transformation worldwide. Competitive limitations faced by companies starting with the newsprint demand decline have required process modernization and portfolio diversification. As a result, the forest biorefinery emerged – facilities for the production of biofuels, biochemicals, and biomaterials. The forest sector has adopted the biorefinery concept globally because it […]

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The role of digitalization and value chain management for competitive advantage in forest industry transformation to the bioeconomy – Year two

The forest industry is going through a transformation worldwide. Competitive limitations faced by companies starting with the newsprint demand decline have required process modernization and portfolio diversification. As a result, the forest biorefinery emerged – facilities for the production of biofuels, biochemicals, and biomaterials. The forest sector has adopted the biorefinery concept globally because it […]

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Human Body Capture and Prediction from Rehearsed Live Performances

We address the problem of 3D human body motion capture and prediction to be used in the context of a live music concert performances. The difficulty of capturing the motion of a performer in this context comes from the harsh environment in which it takes place that includes strong and varying lighting, smoke generators, and […]

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ADAJ- Pratiques juridiques controversées

La présente demande concerne le chantier de recherche sur les « Les pratiques juridiques controversées » : Une partie des coûts de la justice est attribuable à des pratiques situées aux limites de la déontologie professionnelle : rapport collusoire entre praticiens, multiplication des dépenses douteuses, honoraires abusifs, exploitation de l’ignorance des justiciables, engagement dans des […]

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Machine learning-based data analysis for cancer targeted gene panels

Cancer develops from the accumulation of mutations in key genes, which drive disease progression in individual patients. Currently, cancer genomic analysis results in the reporting of dozens to hundreds of mutations and other genomic alterations, without providing any indication of which genes are the most functional, and relevant for the survival of the cancer cell. […]

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A low complexity face recognition for consumer devices

Due to the rapid growth of consumer grade devices and corresponding application market, the incorporation of vision capabilities into embedded systems has gained significant attention from researchers lately. Similarly to the human visual system, embedded computer vision systems analyze and extract information from visual content in a wide variety of products. Face recognition has been […]

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Towards the Development of a Prognostic tool for Harmful Algal Blooms

The Laurentian Great Lakes and many Canadian inland waters have experienced a resurgence of cyanobacteria-dominated harmful algal blooms (cHABs), which negatively impact recreational uses, aesthetics, taste and odor in drinking water. The presence of toxins can also have dire repercussions on aquatic wildlife and human health. The factors that influence the occurrence and magnitude of […]

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Towards the Development of a Prognostic tool for Harmful Algal Blooms – Year two

The Laurentian Great Lakes and many Canadian inland waters have experienced a resurgence of cyanobacteria-dominated harmful algal blooms (cHABs), which negatively impact recreational uses, aesthetics, taste and odor in drinking water. The presence of toxins can also have dire repercussions on aquatic wildlife and human health. The factors that influence the occurrence and magnitude of […]

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Development of Artificial Intelligence Powered Technologies in Computational Pathology to Enable Automated Slide Screening in Whole Slide Imaging – Year two

Advances in Whole Slide Imaging (WSI) and Machine Learning (ML) open new opportunities to create innovative solutions in healthcare and in particular digital pathology to increase efficiencies, reduce cost and most importantly improve patient care. This project envisions the creation of new automated ML tools including the design of a custom Convolution Neural Network (CNN) […]

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