Exploring the social learning potential of community-based participatory sustainable fashion and textiles activities framed by speculation.

This internship supports the creation of an open-access publication on sustainable fashion, intergenerational learning, and craft practices. It investigates how participatory speculative design through Fashion Fictions workshops enables community textile groups to collaboratively imagine alternative fashion futures, fostering collective imagination, social learning, and agency. The project is the first Mitacs Globalink partnership between Nottingham Trent […]

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Not All Backports Are Equal: Analyzing the Risk/Value Trade-offs in Backport Acceptance Decisions

Ensuring the long-term stability and security of widely-used software is a critical operational challenge. A key part of this is “backporting,” the high-stakes process of deciding which updates to apply to stable product versions. Currently, developers often make these crucial risk-versus-value judgments without formal, data-driven guidance. This project will develop an intelligent decision-support framework to […]

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Étude la valorisation de l’érable rouge au Québec

L’érable rouge (Acer rubrum), espèce en expansion au Québec sous l’effet des changements climatiques, demeure sous-valorisé faute de données techniques intégrées reliant ses propriétés à des usages industriels. Le projet vise à caractériser scientifiquement ce bois pour identifier ses applications optimales en produits biosourcés.

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Experimental Investigation of RuCl3 Electronic and Magnetic Properties Toward Spintronic and Quantum Computing Applications

Since their discovery in 2017, two-dimensional (2D) magnetic materials have emergedas a powerful platform for probing magnetism at reduced dimensionality, where thermal fluctuations challenge long-range order. Among them, RuCl3 is particularly compelling due to its unusual electronic and magnetic properties and its capacity to form heterostructures with potential ferroelectric effects, positioning it as a candidate […]

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Nouvelle classe de complexes hétéroleptiques d’Ir(III) pour la photoproduction d’hydrogène.

Ce projet vise à utiliser la lumière du soleil pour produire de l’hydrogène, un carburant propre capable de remplacer les énergies fossiles. Pour cela, nous développons des molécules contenant du métal iridium qu’on appelle des organométalliques, capables de capter efficacement la lumière visible et de déclencher des réactions chimiques qui nous permettent de produire de […]

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ML surrogates for location problems

Electric vehicle charging infrastructure has become a central component of transportation planning as adoption of electric vehicles accelerates worldwide. Modern research models how drivers choose a station using discrete choice models, especially multinomial logit, which capture realistic preferences such as distance, queues, and charging speed. These models are computationally expensive, making large-scale location planning challenging. […]

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Investigating Large Language Models as Collaborative Teammates for Human-AI Aerial Teaming Scenarios

This project investigates the use of large language models (LLMs) as autonomous teammates to perform aircraft control, strategic reasoning, and team communication in complex aviation missions. We propose to design and evaluate an LLM-based “wingman” agent for a simulated collaborative aerial firefighting scenario, in which a human and AI fly their own aircraft to detect […]

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Hardening the Software Build Supply Chain

Large software supply chains are necessary to support digitalization in all sectors. Meanwhile, these supply chains present new risks for companies, as witnessed by several news headlines in the last years. The SolarWinds attack in 2020 is a prominent example. The security of software supply chains is a priority of the Canadian Center for Cyber […]

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Optimisation Prédictive de la Formulation des Plastiques Recyclés (PP/PE/PS)

Ce projet vise à s’attaquer à une limitation critique qui entrave la capacité de l’industrie du recyclage du plastique à vendre son produit, les plastiques recyclés, sur le marché. Lors de l’achat de plastiques recyclés sous forme de granulés, les clients exigent que le plastique possède des propriétés qui soient aussi proches que possible de […]

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Développement et évaluation d’algorithmes d’apprentissage automatique quantique pour l’ordinateur quantique photonique

Quandela est une entreprise pionnière dans le développement d’ordinateurs quantiques photoniques fulstack, intégrant matériel, logiciel et accès cloud [1]. Ses activités couvrent la conception de sources de photons uniques, la fabrication de processeurs photoniques, ainsi que le développement de plateformes logicielles comme Perceval [2] ou MerLin pour la programmation et la simulation quantique. L’un des […]

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Wafer-scale integration of 2D materials for quantum simulators and photonic integrated circuits

The field of quantum science and technology focusing specifically on quantum simulation deals with the development of novel quantum systems and hardware to realize new approaches to understanding and controlling complex quantum many-body systems on different time and energy scales. Integrating 2D materials into semiconductor production lines is a promising avenue as it enables the […]

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Mesure de l’adhérence de la glace aux surfaces poreuses en présence de produits dégivrant : impact sur les opérations aéroportuaires

Le projet consiste en le dévelopmment d’une méthode pour évaluer l’adhérence de la glace sur les surfaces de béton et d’asphalte afin de caractériser l’impact des produits antigivre. Le projet sera réalisé au Laboratoire International des Matériaux Antigivre de l’UQAC et permettra de proposer une nouvelle méthode au groupe de travail sur la performances des […]

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