Supporting Vulnerable Populations in Emergencies

The project goal is to complete a community-wide vulnerability capacity assessment to gain a deeper understanding of the populations that require access to Emergency Social Services (ESS) during a large scale emergency, including the potential impacts of emergencies on these populations. This will aid in resource allocation and priority setting to better prepare for and […]

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Fault Diagnosis of Power Transformers Based on Sequence-to-Sequence Deep Learning Approaches

The current internship is an extension of an ongoing project (application ref. IT24703) which implies the advanced deep learning-based approaches to diagnose the simultaneous power transformers’ faults based on a time-series dataset. The power transformers were selected as the candidate assets in the previous project. They are pieces of essential equipment for electricity transmission and […]

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Unsolicited Proposals as Tools for Innovation

Public procurement plays a crucial role in enabling governments to achieve their goals. Unsolicited proposals represent a departure from the usual procurement process used by governments, in that they involve a private firm submitting a proposal to develop a project or to deliver goods and services in the absence of a formal or informal request. […]

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YMCA Alternative Suspension: mise à jour et actualisation des modules d’activités en collaboration université-communauté

Le décrochage scolaire représente un enjeu sociétal majeur et peut avoir un impact important sur la trajectoire sociale et individuelle des personnes (Lessard, Archambault et Dupéré, 2020). Plusieurs facteurs de risques peuvent être associés au décrochage scolaire, notamment le désengagement de l’élève face à son cheminement scolaire ainsi que son historique de suspension et autres […]

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Increasing Engagement and Reducing Barriers to Participation among Immigrant Voters in Canadian Big-City Elections

In this mixed-methods study, we aim to identify specific experiences and institutional barriers that prevent recent immigrants from engaging with and participating in municipal elections in the city of Calgary, Alberta. Using a systematic literature review and data from focus groups and in-depth interviews in Calgary, we will first develop a list of the concrete […]

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Integrating Artificial Intelligence-based tools and citizen science to enhance biodiversity research and conservation of the charismatic praying mantises (Insecta: Mantodea).

Insects are a key component of ecosystems, economies and human cultures. The Montreal Insectarium seeks to connect the public to nature through engagement with insects, implementing educational programs and citizen science-based research to encourage their conservation. Charismatic species such as praying mantises are instrumental in this context, fostering knowledge of and positive attitudes towards insects […]

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Achieving Circular Wastewater Management with Machine Learning

Effective wastewater treatment is essential to the health of the environment. When operating wastewater treatment plants, utilities must ensure that the treated water meets environmental regulations, while balancing competing needs to minimize the cost of running the plant against the maximizing resource recovery. Additionally, most wastewater treatment plants include a combination of physical, chemical, and […]

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Application et développement avancé d’un code de mesure de champs de déformation par corrélation d’images

L’objectif de ce projet est de tester et valider un code de mesures de déformation par corrélation d’images numériques (digital image corrélation en anglais, DIC en abrégé). Cette technique permet d’évaluer les déformations en surface que subit une pièce sollicitée mécaniquement, de façon à prédire son comportement en service. Le principe de la corrélation d’images […]

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Ryan Underwood Mitacs Elevate with General Fusion: Investigation of Novel Photon Detection Devices for Fusion Diagnostic Applications

General Fusion is pursuing a fast, efficient, and collaborative path to practical fusion power. Its vision is a world with clean, limitless energy, and General Fusion’s mission is to deliver it using its proprietary Magnetized Target Fusion technology. General Fusion is building a Fusion Demonstration Plant to prove this technology and will require numerous state-of-the-art […]

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Toronto Common Data Model

City of Toronto’s Digital Infrastructure Strategic Framework (DISF) has a vision of “A Digital Connected Community” where digital infrastructure is increasingly used to deliver services, perform data-driven asset management, help manage public resources efficiently, encourage civic engagement, and inform decision-making. A critical component of the DISF is the ability to share data across services and […]

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Using Phase Field Modelling and Machine Learning to Develop a Microstructure Design Platform for Hydraulic Turbine Steels

Materials fatigue has a detrimental impact upon the lifetime and cost-effectiveness of turbine equipment in Hydro-Québec’s energy production division. Metal fatigue, in turn, is linked to it internal microstructure, that developed in a metal during its fabrication or repair through welding, as is often done to damaged hydroelectric turbine blades that break during operation. The […]

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