Intelligent 5G/B5G Service Function Chain Provisioning

This project aims to solve a primary problem of 5G/B5G Networks, namely the Service Function Chain (SFC) provisioning problem. This project will improve the solutions for this problem in two aspects. First, the SFC architectures considered in this project are futuristic/generalized ones that do not appear in existing systems. These architectures reduce the processing time […]

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Software Quality assurance internship supporting R&D in the development of a commercial stroke decision support tool

Acute stroke is a leading cause of global death and disability. Quick access to robust treatments significantly improves patient outcomes, however, accurate interpretation of diagnostic imaging and effective communication of suspected findings remains a serious challenge for all stroke networks. Circle Neurovascular Imaging (Circle NVI), a wholly owned subsidiary of Circle Cardiovascular Imaging (Circle CVI) […]

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Image Deblurring for Mobile Devices Year Two

The wide proliferation of digital cameras has resulted in a massive flow of images captured then shared online in various forms. At the same time, capturing high-quality images with embedded cameras remains a significant challenge. One of the most common image degrading effects is motion blur, produced by camera movement while taking a photograph. This […]

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Livestock Monitoring and Analysis: A Deep Learning Approach on Edge Devices

Livestock monitoring is a topic of great interest for livestock farming since it would help identify the most appropriate feed cycle, improve and predict animal health, thus reducing investment cost, and providing other important knowledge to improve the breeding process. This research project proposes the development of a non-invasive monitoring system for livestock using video […]

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Econochef – Implementing MLOps for Small Businesses

This project will look into the tools available to implement machine learning in production and find the best ones to use in a small business environment. The goal is to find a set of tools that can be used by developers with little or no experience with machine learning that is still performant enough to […]

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A Novel Radiofrequency Treatment for Emphysema in Pig Model

A common condition that contributes to Chronic Obstructive Pulmonary Disease (COPD) is emphysema, which involves damage to the walls of air sacs in the lung. There are very limited safe and non-invasive options available, therefore IKOMED Technologies Inc. has been developing an application using radiofrequency wave technology that has shown the potential to non-surgically improve […]

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Non-thermal Removal of Moisture for Laundry Drying Applications

SunBrine Inc. (www.sunbrine.com) was established to develop and market technologies to de-carbonize commercial and industrial processes that utilize hydrocarbon fuels. SunBrine’s primary technology entails the use of a process cycle in which concentrated salt brine solutions, via their hygroscopic nature, absorb water vapour. Through this mechanism, water is removed from the commercial or industrial process […]

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Développement et analyse d’algorithmes efficaces pour le Building Information Modeling 4D et applications à la recherche de chemins

Depuis quelques années, la nécessité d’avoir des plans numériques afin de gérer efficacement les espaces est devenue un enjeu de taille. La modélisation des données du bâtiment (Building Information Modeling ou BIM) permet non seulement d’obtenir des plans 3D de grande précision, mais aussi des données supplémentaires liées au bâtiment telles que l’évolution de l’espace […]

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Understanding the dynamic of harmful algal blooms in boreal lakes of Abitibi-Temiscamingue

Cyanobacteria are the Earth’s oldest photoautotrophs and responsible for today’s oxygen level. However, when they overgrow and form a bloom, they cause ecological degradation and sometimes become life threatening because of the cyanotoxins they produce. This phenomenon is linked to high concentrations of nutrients, elevated water temperature and low water movement. Recent observations showed some […]

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Optimisation des séquences de ramassage pour le triage automatisé de matières recyclables par un bras robotisé

Afin d’augmenter leur compétitivité, les centres de tri misent sur la robotisation des opérations de tri de matières recyclables. Dans ce contexte, notre partenaire CRVI a réalisé un montage physique à échelle réelle d’un robot trieur attaché à un convoyeur de matières recyclables. L’objectif du présent projet est de mettre au point un système de […]

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La contribution de l’économie sociale et solidaire à la circularité de la filière agroalimentaire québécoise : défis, constats et opportunités

La crise sanitaire de la Covid-19 a révélé plusieurs enjeux autour de la filière agroalimentaire, notamment celui de notre dépendance aux chaînes d’approvisionnement extérieures. Alors que de nombreux gouvernements déploient des stratégies d’adaptation à la pandémie et multiplient en parallèle les initiatives pour lutter contre les changements climatiques, quel peut être l’apport des entreprises d’économie […]

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Energy Efficient Solar Refrigeration Systems for Long-Haul Trucks

the power requirements of refrigeration units in long-haul trucks. The proposed solution will help displace an equivalent amount of diesel fuel that is otherwise used to power the refrigeration unit. Specifically, this research will result in a comprehensive embedded systems platform for the remote monitoring of Westhill Innovation’s solar powered reefer setup. Using a detailed […]

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