Projets novateurs réalisés

Explorez des milliers de projets réussis issus de la collaboration entre organisations et talents postsecondaires.

29 670 projets achevés

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4990
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801
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663
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825
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8841
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95
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568
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Projets par catégorie

Developpement d’un agent de contraste pour l’imagerie In Vivo et Ex Vivo

L’imagerie micro-CT (pour micro-Computer Tomography) est une methode d’imagerie 3D non-destructive permettant d’observer la structure interne d’un corps biologique. La methode se sert des rayons X afin d’effectuer une multitude de prises d’images en 2D qui seront traitees par ordinateur afin d’obtenir une image 3D du systeme d’interet. Cependant, la methode necessite la presence d’atomes lourds qui sont naturellement absent dans un corps biologique. L’utilisation d’agent de contraste est ainsi necessaire afin d’effectuer les imagerie micro-CT. Ces agents de contraste sont plus souvent prepares a base d’iode ou de bismuth.
Le projet ici present s’interesse a developper un agent de contraste derive de la vitamine E et contenant de l’iode en tant qu’agent de contraste. II s’agira notamment de modifier la formulation d’un des produits commerciaux de !’organisation partenaire afin d’ameliorer ses proprietes d’absorptions ainsi que son temps de residence afin d’ameliorer ses proprietes en tant qu’agent de contraste.

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Superviseur du corps professoral :

William Skene

Étudiant :

Partenaire :

MediLumine Inc.

Discipline :

Physics

Secteur :

Professional, scientific and technical services

Université :

Université de Montréal

Programme :

Accelerate

Pondération dynamique de modèles prédictifs à court terme de la charge sur le réseau électrique du Québec – Extension

THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW

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Superviseur du corps professoral :

Fabian Bastin

Étudiant :

Partenaire :

Hydro-Quebec

Discipline :

Computer science

Secteur :

Energy and Utilities; Artificial Intelligence; Information and Communications Technology

Université :

Université de Montréal

Programme :

Accelerate

Computational Analysis of the use of Boron Clusters for the Depolymerization of Polyethylene

The intern will travel to the University of Jyväskylä’s Department of Chemistry, where they will be hosted in the group of Prof. Heikki M. Tuononen. The principal investigator host is a computational chemist of international recognition, University of Calgary alumnus, and longtime collaborator of Prof. Roland Roesler, the host in University of Calgary’ Department of Chemistry. Building on this fruitful contribution, the intern will learn computational chemistry, which is a branch of chemistry that uses computer simulations to assist in solving chemical problems. It employs algorithms and theoretical principles from chemistry, physics, and computer science to predict the structures, properties, and behaviors of molecules and materials. This allows the exploration of potential outcomes of chemical reactions, the design of new molecules with targeted properties, and gaining insights into the fundamental nature of chemical processes, all in a virtual environment. The object of the investigation will be specific boron clusters, which will be assessed as supports for catalysts for polyethylene degradation for the purpose of recycling. Boron clusters are polyhedral structures made up of boron atoms that are known for their unique chemical properties, including high thermal stability and the ability to attach to metals and forming complex structures.

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Superviseur du corps professoral :

Roland Roesler

Étudiant :

Partenaire :

Jyväskylän yliopisto

Discipline :

Physics

Secteur :

Education

Université :

University of Calgary

Programme :

Globalink Research Award

Chemical Looping for Electric Arc Furnace (Steelmaking) Decarbonization

This project will investigate the feasibility of applying fixed-bed chemical looping as a technology for off-gas cleanup and heat recovery from a conventional steelmaking process. Investigation will consist of thermodynamic studies and material selection, numerical investigation of system dynamics using a specialized process model, and experimental investigation for a bench-scale proof of concept. Experimental results will support improvements to the process model to allow for better scaling, supporting the potential development of pilot-scale facilities. At the full scale this can offer up to a 30% reduction in energy intensity. Collaboration will support the development of a new lab apparatus in Canada for steelmaking research and other applications. In the United Kingdom the work will support ongoing research with an international project to reduce steelmaking emissions.

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Superviseur du corps professoral :

Michael Pegg;Jan Haelssig

Étudiant :

Partenaire :

University of Manchester

Discipline :

Engineering

Secteur :

Education

Université :

Dalhousie University

Programme :

Globalink Research Award

Operational runoff prediction during rain-on-snow in the Coast Mountains of British Columbia

Rain-on-snow events, where rain falls on pre-existing snow, cause some of the highest peak flows in mountainous coastal regions, such as Southwestern British Columbia. Operational hydrologists have a difficult time predicting runoff during these events because of an incomplete knowledge of the energy fluxes into and within the snowpack over large areas, and because of an incomplete knowledge of which areas of a watershed have snow coverage and which do not. This project will investigate the energy fluxes that govern rain-on-snow melt with a goal of determining a simplified method for predicting runoff. Additionally it will investigate the use of satellite snow cover measurements in a hydrologic model to improve prediction accuracy via a better knowledge of the initial conditions prior to the onset of rain-on-snow

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Superviseur du corps professoral :

Dan Moore

Étudiant :

Partenaire :

BC Hydro (Burnaby, BC)

Discipline :

Earth science

Secteur :

Utilities

Université :

The University of British Columbia

Programme :

Accelerate

Étude de l’électrocatalyse de l’oxygène sur le graphène avec caractérisation par FTIR in-situ

Les objectifs de ce projet sont de réaliser des mesures électrocatalytiques de la réaction de réduction de l’oxygène sur des substrats d’électrodes à base de graphène. La réduction de l’oxygène est une réaction fondamentale dans les piles à combustibles et les batteries air-métal. Les catalyseurs de pile à combustible de pointe utilisent des nanoparticules de Platine chargées de carbone, car le platine permet de lier fortement les atomes d’oxygène tout en évitant de libérer l’eau du substrat.
L’enjeu principal de la recherche de nouveaux matériaux est de régler finement la force d’interaction entre l’oxygène et l’électrode. Pour cela, une bibliothèque de graphène et de nanomatériaux (bi)métalliques va être développée. Ces deux classes de matériaux (graphène et nanoparticules bimétalliques d’or) ont été choisies intentionnellement en raison de leur grande adaptabilité à la réaction de réduction de l’oxygène. De cette façon, il sera possible de comparer l’activité des matériaux individuels à celle de leurs hybrides. Différentes méthodes seront utilisées pour mesurer l’activité électrocatalytique des matériaux nouvellement fabriqués comme la voltampérométrie cyclique et hydrodynamique et leur activité sera corrélée avec la caractérisation chimique et structurale, y compris la (micro)spectroscopie vibrationnelle (Raman et infrarouge), la microscopie électronique à balayage et les mesures d’adsorption de N2.

Voir la description complète du projet
Superviseur du corps professoral :

Joshua Byers

Étudiant :

Partenaire :

Université de Lorraine

Discipline :

Engineering

Secteur :

Education

Université :

Université du Québec à Montréal

Programme :

Globalink Research Award

Manual 3D reconstruction using multiple RGB-D cameras and thermal cameras

The proposed project aims to develop a method for three-dimensional reconstruction of manual work using multiple RGB-D cameras and a thermal camera. This innovative approach will enable the digital archiving of intangible cultural heritage, such as traditional craft techniques and dance performances, which are currently predominantly documented in 2D formats. By integrating rich information about hand-object interactions and object shapes, the project will contribute to preserving and sharing cultural knowledge. Additionally, it will enhance the research capabilities of participating institutions by advancing three-dimensional archival techniques.

Voir la description complète du projet
Superviseur du corps professoral :

Arthur Chan

Étudiant :

Partenaire :

Osaka University

Discipline :

Engineering

Secteur :

Education

Université :

University of Toronto

Programme :

Globalink Research Award

Mathematical Modelling of Counteracting Gait Asymmetries in Human Locomotion

This proposed project aims to develop a control model that can counteract gait asymmetries in human walking. Gait asymmetries can arise in two different scenarios. It can be introduced from the environment, such as uneven terrain or strong winds, that would cause the body to need to adjust its motion to stay balanced. It can also be introduced via an imbalance in muscle strength or weight. The first scenario is applicable to robotics, as more advanced robots strive to be able to manoeuvre in various environments. The second scenario is more applicable to healthcare, as it involves our internal body composition that can be affected by a wide range of diseases/disorders. Having a model that can counteract gait asymmetries will be beneficial for future research in the field as well and build on the current research that has already been done. The findings of this project can contribute to the design of walking assistance devices and prosthetics to improve fall prevention in elderly walking strategies as well as more sophisticated humanoid robots.

Voir la description complète du projet
Superviseur du corps professoral :

Arthur Chan

Étudiant :

Partenaire :

Osaka University

Discipline :

Engineering

Secteur :

Education

Université :

University of Toronto

Programme :

Globalink Research Award

Interdisciplinary perspectives on participatory practices in visualizing older adults’ health information.

This Mitacs Globalink Research Award will support a Ph.D. student (Freeman) on a 24-week research trip to Sweden from 30 June – 15 December. Freeman will be hosted at Linnaeus University in Kalmar, Sweden, and will travel within the region to conduct interviews that will form a major part of Freeman’s thesis research, in collaboration with her research host. Freeman’s thesis explores how collaborative design approaches can lead to the development of effective health information-sharing technologies that improve the care of older adults. The primary contribution of Freeman’s research will be recommendations for preparing diverse collaborators to be effective co-design partners. Understanding what different stakeholder groups seek from a co-design partnership is foundational to Freeman’s research. In Sweden, Freeman will interview academics and professionals with experience in age care, information visualization and co-design at Linnaeus University and other institutions in the region. Co-design has conceptual roots in the Participatory Design movements of Northern Europe and Scandinavia. This region also hosts leading information visualization researchers and designers. Connecting with researchers and practitioners in this region will enrich Freeman’s thesis research and academic career. Freeman’s thesis research will guide future productive co-design partnerships, generating novel and functional designs for health information-sharing tools.

Voir la description complète du projet
Superviseur du corps professoral :

Lora Oehlberg

Étudiant :

Partenaire :

Linnaeus University

Discipline :

Computer science

Secteur :

Health and Related Sciences & Technology; Information and Communications Technology; New and Digital Media

Université :

University of Calgary

Programme :

Globalink Research Award

Valorisation des poussières de four à arc électrique (EAF) issus de la fabrication de l’acier

Ce projet de recherche vise la valorisation des métaux contenus dans les poussières d’aciérie du procédé EAF de l’usine de Arcelor Mittal à Contrecoeur. Ce produit pourrait éventuellement être exploitée comme un gisement de ressources secondaires afin d’en valoriser le contenu en métaux surtout au niveau du zinc. La stagiaire a jusqu’à présent procédé à la caractérisation de ces poussières et à fait de nombreux essais de mise en solution, de purification et de précipitation afin de produire un concentré de zinc et un concentré de plomb. Il reste néanmoins du travail à effectuer au laboratoire avant de procéder à l’écriture du mémoire en collaboration étroite avec le responsable du stage. Pour Arcelor Mittal ce stage sera l’occasion de connaître en profondeur le procédé qui vise la valorisation de ces poussières. L’entreprise pourra ainsi simultanément procéder à une évaluation du potentiel réel d’application de la technologie en développement.

Voir la description complète du projet
Superviseur du corps professoral :

Guy Mercier

Étudiant :

Partenaire :

ArcelorMittal (Contrecoeur, QC);Quebec Ministère du Développement durable, de l’Environnement);Université du Québec : Institut national de la recherche scientifique

Discipline :

Earth science

Secteur :

Mining

Université :

Université du Québec : Institut national de la recherche scientifique

Programme :

Accelerate

Designing Machine Learning Models for Predictive Analysis of Pressure Drop and Temperature in Free-Breathing Polymer Electrolyte Membrane Fuel Cell Stacks to find Optimal Fabrication Parameters

Climate change has emerged as one of the most critical problems of the 21st century, driven by the rise in greenhouse gas emissions. The polymer electrolyte membrane fuel cell (PEMFC) is a device that converts chemical energy into clean electricity with zero emissions. The proposed research aims to utilize machine learning algorithms to predict the pressure drop and temperature in PEMFCs by using data sets related to Singapore’s state-of-the-art PEMFCs. By applying different data pre-processing methods, the predictive algorithms will identify optimal fabrication parameters and operating conditions such that these fuel cells operate at their highest efficiency, while reducing cost. As a result, this research will lead to the improvement of PEMFCs such that they can be a competitive alternative to fossil fuel-based energy systems.

Voir la description complète du projet
Superviseur du corps professoral :

Arthur Chan

Étudiant :

Partenaire :

National University of Singapore

Discipline :

Engineering

Secteur :

Education

Université :

University of Toronto

Programme :

Globalink Research Award

The revolving door of reintegration: Understanding the experiences and challenges of previously incarcerated people in Ontario

The transition from incarceration to the community (i.e., reintegration) is often characterized by uncertainty, unease, and instability. While there is a strong understanding reintegrative barriers like a lack of safe and stable housing, employment, and social support, reintegration is often characterized as a series of distinct challenges that determine its success. This overlooks how previously incarcerated people’s interactions with services and supports, or lack thereof, are woven into how they understand and navigate reintegration. Using interviews and secondary documentation, this study aims to (1) identify previously incarcerated people’s needs during reintegration, and the barriers they face in fulfilling these needs; (2) understand the role of reintegrative services and supports, or lack thereof, in shaping their experiences post-release; and (3) explore reintegration as a relational process. Doing so will produce evidence-based research that can advise programs/services in the community and/or correctional facilities and contribute to policy and public education on reintegration.

Voir la description complète du projet
Superviseur du corps professoral :

Luca Berardi

Étudiant :

Partenaire :

John Howard Society of Ontario

Discipline :

Sociology

Secteur :

Health and Related Sciences & Technology; Other services (except public administration)

Université :

McMaster University

Programme :

Accelerate

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