Projets novateurs réalisés

Program Evaluation_Collaborative Food Network_Eskasoni Community Foodbank

Eskasoni Community Foodbank is working to address an issue that impacts many communities: food insecurity. While they’ve made great strides in helping people access food through programs like community meals, cooking classes, and a social supermarket, there’s a need to go further. Food insecurity is more than just a lack of food—it’s tied to people’s dignity, health, and sense of belonging in the community. The challenge is to evaluate how well these programs are working to meet those deeper needs. Are they truly helping to reduce food insecurity? Are they fostering stronger social connections and promoting dignity for those who participate?

This evaluation project will help the Eskasoni Community Foodbank assess the effectiveness of its programs, identify areas for improvement, and find ways to better serve the community in the long term. The project requires someone who can develop an evaluation plan, collect and analyze quantitative and qualitative data, engage with the community, and provide insights that go beyond just numbers. The evaluation will ensure that these programs continue to meet the evolving needs of the community while also providing valuable recommendations for future growth.

Bridging Administrative Decisions and Caseworker Narratives: A Computational Exploration of Child Welfare Practices

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Digital Innovations to Transform Sexual Medicine Care

Male sexual dysfunction, including erectile dysfunction, Peyronie’s disease, ejaculatory dysfunction, low libido,
and low testosterone, affects most men at some point and often requires chronic management. However, access
to evidence-based care in Canada is limited, care is fragmented across disciplines, and existing digital platforms
lack efficiency and innovation in sexual medicine.
Teumo Health Technologies Inc. has developed a specialized digital platform to integrate multidisciplinary care,
automate patient education, and customize workflows for specific conditions. Two proposed research projects aim
to enhance care delivery using this platform.
One project focuses on developing machine learning tools for erectile dysfunction, improving dose titration
efficiency for intracavernosal injections and enhancing provider data visualization. Another project aims to create
an assessment tool for Peyronie’s disease using computer vision and machine learning to improve accuracy and
standardization. These innovations aim to improve patient outcomes, provider efficiency, and system
effectiveness, ultimately achieving Health Canada approval.

Understanding resistance to zero-emissions vehicles: Interviews with Canadian new car buyers

This project explores consumer resistance to purchasing and using zero-emissions vehicles (ZEVs), in the context of Canada’s goals to transition to 100% ZEV sales in the passenger vehicle market by 2035. A key uncertainty regarding this transition is how later buyers will respond. To date, little research has focused on understanding “ZEV resistance”: the various reasons that might prevent some car buyers from purchasing ZEVs. To explore ZEV resistance in depth, the intern and partner organization will interview 40 households in British Columbia to understand perceptions of the functional, environmental, social influence, and status quo characteristics of ZEVs. Through this project, the partner organization will develop new insights into consumer perspectives of ZEVs, which can be used to inform further research on ZEV adoption and policy impacts. Findings are expected to contribute to the ZEV research literature and inform climate policy recommendations, and improve understanding of the social impacts of Canada’s ZEV transition.

Development of Microneedle-Based Sensors for High-Resolution Electromyography Recordings

This project aims to develop a novel wearable microneedle patch that can painlessly measure muscle activity more accurately and comfortably than current technologies, with the potential to transform how neuromuscular disorders like Parkinson’s are diagnosed and managed. It leverages the University of Calgary’s expertise in low-cost, scalable microfabrication techniques and University College Dublin’s expertise in advanced microneedle fabrication and clinical testing. By uniting these complementary skills, both institutions will gain cutting-edge knowledge, broaden their research capabilities, and strengthen their collaborative ties. Ultimately, this collaboration will advance neuromuscular diagnostics and forge a lasting partnership that drives future breakthroughs in health monitoring technology.

Predicting job performance through personality testing: Improving the quality of research and practice at a Human Resources Consulting Firm

The Pathfinder Career System is a sophisticated psychological assessment tool that provides a high-definition portrait of an individual’s behavioural profile that focuses on the key attributes required for success in a specific job position. The purpose of this project is for Optimum Talent inc., a Human Resources Consulting firm, to be in a position to make optimal use of the test, by determining how it can be integrated into the current services offered by the firm and by pushing the tool further to respond to very specific client demands. The project will refine the Pathfinder by updating its competency models and definitions and developing content and tools that reflect these updates. The research project will also explore data collected to define data-based best practices and develop new solutions and services in 4 core areas, namely Selection, Career Management, Coaching, and Organizational Interventions.

Biais asymptotique de l’apprentissage par gradient stochastique dans un modèle de diffusion pour le risque et la ruine en assurances.

Ce stage vise à porter un regard nouveau sur la modélisation du processus de réserve en assurance et gestion de risque financier en proposant une approche probabiliste basée sur les théories des équations différentielles stochastiques et le gradient stochastique. Ce cadre a été appliqué avec succès à de nombreux domaines de la modélisation mathématique. Notre objectif est d’élargir ses applications à la modélisation de la gestion du risque et, plus généralement, à la modélisation des processus de réserve. Ainsi, l’avancement de cette science acquerra les compétences et l’expérience que l’économie numérique exige. L’entrée dans l’ère numérique, illustrée par l’essor des Gafa (Google, Apple, Facebook, Amazon), a placé l’algorithmique au cœur de l’économie numérique ; on entend par algorithmique une discipline à la frontière de deux sciences étroitement imbriquées : les mathématiques et l’informatique. Avec la croissance exponentielle du nombre de données numériques – le fameux Big Data – que les mathématiques ont accru leur emprise sur l’économie. Comprendre la science sur ces outils numériques et ses applications permettra d’identifier les moyens pour exploiter les technologies émergentes qui créeraient des emplois et des industries qui n’ont jamais existé auparavant, tout en revigorant les industries établies.

Vertex Functions and Twisted Trace of K-theoretic Coulomb branches

This project explores the relationship between twisted traces on K-theoretic Coulomb branches, vertex functions of quasi-maps, and vertex operator algebra characters. Twisted traces provide a framework to understand quantum algebras and their symmetries, with potential applications in representation theory, mathematical physics, and geometry. The project aims to establish new connections between these areas, benefiting participating institutions by advancing foundational research and training scholars in cutting-edge theoretical methods.

Machine Learning Developer intern(s) working within cross-functional teams to develop and commercialize AI-powered solutions in the Financial Services sector (3)

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Caractérisation de l’anisotropie d’alliages d’aluminium

L’aluminium est un matériau clé pour les applications structurales, notamment dans les secteurs des transports terrestres. Son utilisation dans les extrusions, comme les poutres de châssis et de carrosserie, permet de remplacer les assemblages traditionnels par des solutions plus légères et robustes. Cependant, les propriétés finales des pièces extrudées varient en fonction des conditions de fabrication, telles que la température et la vitesse de déformation, entraînant une anisotropie significative. Cette variabilité complique la prédiction et la standardisation des performances.

Le projet proposé vise à développer des modèles prédictifs et des outils numériques pour comprendre l’impact des paramètres d’extrusion sur la microstructure et les propriétés mécaniques des alliages d’aluminium. Cela inclut l’étude des mécanismes de recristallisation, de la texture cristalline et de la précipitation post-déformation. En intégrant ces éléments dès la conception, il sera possible d’optimiser les profilés extrudés pour réduire leur poids tout en améliorant leurs performances et leur durabilité.

Ces avancées technologiques permettront aux fabricants de mieux maîtriser les processus de production, d’adopter des formes complexes et de réduire les coûts, tout en répondant aux exigences croissantes en matière d’efficacité énergétique et de développement durable.

Control of point source low volume methane emission using methanobiofiltration technology

Methane is a key greenhouse gas (GHG), and atmospheric methane emissions in Alberta are associated with a variety of industry sectors: sanitary landfills, wood waste landfills, feedlot operations and the oil and gas sector. When the quantities released at individual locations are relatively small, this methane cannot be used as an energy source; therefore, environmentally acceptable methods are needed for their control. Recent research has shown that methanotrophic bacteria are capable of converting methane to carbon dioxide without producing toxic by-products. We have conducted extensive research to develop methanobiofiltration (MBF) technology, utilizing this capability of methanotrophic bacteria. The field application of MBF technology, supported by concurrent laboratory and theoretical investigations is the focus of this project. We propose to develop a complete MBF technology package to allow its large-scale implementation throughout Alberta, significantly reducing GHG emissions without causing negative environmental impacts.

Projet d’augmentation de la puissance de 192W à 330W

Fondée en 2020, AWL-E a pour mission de commercialiser des solutions de transmission d’énergie sans fil grâce à sa technologie unique offrant plus de distance, de puissance et d’efficacité à ses utilisateurs. L’entreprise se concentre sur l’implémentation de ses inventions aux applications à fort impact social et économique.
AWL-Électricité travaille actuellement au développement d’un chargeur sans fil dans le domaine de la mobilité en utilisant une technologie de couplage capacitif résonant. Son premier produit consiste à recharger les fauteuils roulants électriques de résidents de centre pour personnes âgées, pour ainsi améliorer leur autonomie et réduire la charge de travail du personnel soignant.
Dans le but de fabriquer et de commercialiser son deuxième produit ainsi que ses futurs produits, AWL-E cherche à développer un système de transmission électrique à distance plus puissant, augmentant de 192W à 330W. Cette amélioration de performance, réalisée grâce à l’implication de nos employés et stagiaires, servira à réduire le temps de recharge des fauteuils roulants électriques et à améliorer l’expérience utilisateur. Ce projet est crucial pour l’entreprise, car il augmentera considérablement les performances de notre produit et accélèrera l’adoption de la technologie sur le marché actuel de notre premier produit et de nos futurs marchés. De plus, en ayant des composants plus performants, notre produit sera plus attrayant pour les futurs clients et permettra de réaliser des avancées technologiques afin de cibler éventuellement d’autres marchés.