Achieving Circular Wastewater Management with Machine Learning

Effective wastewater treatment is essential to the health of the environment and municipal wastewater treatment plants in Canada are required to achieve specific effluent water quality goals to minimize the impact of human generated wastewater on the surrounding environment. Most wastewater treatment plants include a combination of physical, chemical, and biological unit processes and therefore […]

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Development of an online tool for crowd movement simulation research

Crowds are everywhere and studying them is important for urban planning, transportation, evacuation, and safety at large public events. Simulation modelling lets us study crowd behaviour by simulating large numbers of individual pedestrians and seeing how they behave as a crowd in different, sometimes dangerous scenarios. Simulation allows us to study situations that would be […]

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Development of a thermal spray wear-resistant coating for abrasive concrete applications

Mechanical wear and chemical corrosion are the two main dominant factors that limit the service life of industrial machinery. Wear and tear of tools and equipment are significantly intensifying due to the increasing demand for superior efficiency, productivity, and throughput of industrial apparatuses. Since the surface of the materials is more exposed to abrasive wear […]

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3D Brain lesion detection from MRI images

This project aims to detect 3D brain lesions automatically using machine learning and MRI images. Given an MRI image of a brain, the project will automatically detect any size lesion. The project will establish a baseline, as well as improvement over the baseline for which performance metrics will be validated. The partner organization benefits from […]

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Diagnostic de capacités organisationnelles d’apprentissage en contexte de crise

En situation de crise ou haute turbulence, les organisations doivent pouvoir réagir rapidement aux bouleversements provenant de l’environnement interne et externe ayant un impact sur les pratiques et routines habituelles, tout en maintenant leurs activités quotidiennes. Afin de répondre à des situations critiques inédites, l’organisation de ces réponses doit pouvoir se faire selon des cycles […]

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Innovation des services

Il s’agit d’identifier les besoins potentiels de services à proposer afin d’accroître son marché et son positionnenemt. Elle permettra à l’entreprise de décider d’engager ou pas le développement d’un pan de ses activités au Canada, à court terme. Cette étude est aussi une opportunité d’utilisation des outils de gestion de connaissance afin de mieux s’imprégner […]

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Le cirque social québécois : son rôle, ses pratiques, ses pédagogies

Ce projet Mitacs permet de compléter une plus grande recherche sur le cirque social, son développement et ses enjeux en temps de pandémie, et d’assurer la diffusion cette dernière aux publics à la fois universitaires en publiant un ouvrage de référence sur le sujet, et communautaires et institutionnels grâce à deux documents plus accessibles. Il […]

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Detection of malicious documents by extracting and interpreting macros in Microsoft Office files

Macros can greatly enhance the capabilities and convenience provided in documents. They also invite adversaries to include malicious code in lure documents, often used as initial access into a user’s environment. This project will extract and analyze macros and determine their indent and potential for malicious code execution. Reducing time to response through malicious code […]

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Real-time Automated Security Report Generation

In today’s world, organizations protect themselves and their customer’s data through the implementation of complex cybersecurity solutions composed of many different nodes, each generating constant streams of data. Building reports from this data through the calculation of various metrics can provide much needed visibility into the state of the environment. However, building such reports can […]

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Malicious/phishing Website Detection

Malicious websites in general, and phishing websites in particular, attempt to mimic legitimate websites to trick users into trusting them. The goal of the project is to develop algorithms for detecting these malicious websites in two contexts: • detecting if a site visited by a user is a malicious site • detecting malicious sites that […]

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Creating a comparison and alert methodology for managing the CCTX feed

Most collaborations and government departments share their threat data feed in Data Exchange. Inescapably, nowadays with increasing threat data, it is a challenge to extract a large amount of threat data and unify the format more quickly. And as more and more companies join in sharing, the redundancy of this duplicate data will increase dramatically. […]

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