Augmentation de données et optimisation de l’espace latent d’un auto-encodeur variationnel (VAE) pour la détection de défauts et le pronostic des alternateurs hydrauliques

L’objectif du projet est d’automatiser la reconnaissance des signaux acoustiques et vibratoires d’une part, et des signaux de décharges partielles d’autres part, et ceci à l’aide d’un modèle d’apprentissage profond. Cette reconnaissance est la première étape du développement d’un modèle de pronostic et de suivi de l’évolution de la dégradation des alternateurs. Ces signaux sont […]

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Cyber Threat Intelligence Integration with MISP Threat Sharing

In the recent technological age, new threats and attacks emerge nearly every day. It might be against everyone on the internet or targeted towards specific organizations and individuals. Attackers have begun to use highly sophisticated techniques and technologies to attain their objectives. It’s a high time, the defenders scale up to defending their infrastructure against […]

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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 a technique for radioactive source term detection and realtime analysis for low-level radioactive waste

Nuclear power currently provides approximately 50% of Ontario’s electricity. Operation of nuclear power plants produces a variety of radioactive waste. In particular, low-level radioactive waste makes up about 95% of total non-fuel waste volumes. To reduce volume, low-level materials must be sorted to determine if their radioactivity has sufficiently decayed and they can be safely […]

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Modeling logistics for supply of bioenergy feedstock

The current version of the Integrated Biomass Supply Analysis (IBSAL) model is deterministic. As such, the uncertainty surrounding the results obtained cannot be studied or quantified. The focus of this research project is to incorporate uncertainty into the model in order to make it more realistic, provide additional insights into its properties and potentially suggest […]

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Multi-sensor object detection and localization for inspection robots

Hydro-Québec faces numerous challenges to inspect and maintain its infrastructures. Robotics used for infrastructure inspection can lead valuable gains in efficiency. However, large-scale adoption of inspection robots requires higher autonomy levels, like the capacity to autonomously inspect specific assets. AI-based object detection and localization is a key capability to complete autonomous inspections with robots. This […]

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Powering Transactive Energy Markets using Smart Contracts in an Integrated IoT-Blockchain Platform

In this project, we propose the use of blockchains to provide reliability, security, and transparency for collecting and querying IoT data in the energy sector. In particular, we will implement and evaluate our blockchain solution for enabling transactions in local energy markets, where homeowners have the capacity to generate energy (through renewables), stock energy (through […]

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Recherche sur les besoins en gaz naturel de l’industrie lourde et de son remplacement par l’H2 ou un mélange de gaz naturel et d’H2

La filière de l’hydrogène est en pleine effervescence au Québec. Pour accélérer son déploiement, de nouvelles utilisations de l’hydrogène doivent être ciblés. L’industrie lourde, ses activités industriels et les parcs industriels et portuaires qui les abritent sont de potentiels utilisateurs d’hydrogène. Ce projet vise à identifier de nouvelles utilisations de l’hydrogène dans un parc industriel […]

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L’importance des caractéristiques granulométriques sur l’érosion interne des ouvrages en remblais

L’érosion interne des barrages en remblais peut causer sa déstabilisation. Afin de prévenir ce phénomène, les matériaux composant l’ouvrage sont soumis à des critères granulométriques. Malgré leur utilisation, l’érosion interne demeure une préoccupation. Le projet prévoit d’étudier l’érosion interne à l’aide du Laboratoire Virtuel en développement à l’IREQ qui permet de suivre le mouvement de […]

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Ammara Syeda

Due to the fact that the IT Department at the City of Saskatoon is facing multiple challenges due to COVID-19, the current service catalog and ticketing systems are lacking efficient self-service options, which are vital during this time. Using my previous UX knowledge, I hope to assess the current systems in place and collaborate with […]

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