Innovative Projects Realized

Explore thousands of successful projects resulting from collaboration between organizations and post-secondary talent.

30508 Completed Projects

2882
AB
5105
BC
825
MB
681
NL
860
SK
9051
ON
9491
QC
97
PE
586
NB
1141
NS

Projects by Category

Development of an initial velocity model of Revell Batholith and surrounding Greenstone belts near Ignace, Ontario

This project aims to develop an initial velocity model of the Revell Batholith and surrounding Greenstone belts. Establishing a microseismic network in this area is planned to better understand the long-term seismic hazard and geology of the region and at the site-scale. In order to accurately evaluate and interpret the microseismic data coming from a planned microseismic network, a velocity model should be developed. With the purpose of monitoring potential geohazards, a geophysical data analysis will be carried out. Available data, such as parameters derived from downhole geophysical and core logs, will be assimilated through sequential gaussian simulation to build an ensemble of suitable velocity model realizations. Software such as SGEMS and GOCAD are available, however some algorithms will be developed and tested for this project.

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Faculty Supervisor:

Bernard Giroux

Student:

Partner:

Nuclear Waste Management Organization

Discipline:

Earth science

Sector:

Administrative and support, waste management and remediation services; Utilities

University:

Université du Québec : Institut national de la recherche scientifique

Program:

Accelerate

Microwave Radar System for Stand-off Hazardous Gas Detection and Material Characterization

This project will advance development of technologies capable of detecting rapidly and reliable a range of gases harmful to humans. Student interns working in university labs and with our partner will develop new gas sensors using new materials that resonate in observable ways when they come into contact with harmful gases. These sensors will be small and extremely durable, potentially worn on garments or attached to workers’ tools. Student interns will also develop software and sensor readers enabling workers in diverse environments to quickly and easily detect and characterise a wide range of harmful gases, supporting rapid and accurately targeted response.

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Faculty Supervisor:

Mohammad Hossein Zarifi

Student:

Partner:

Patriot One Detection Ltd

Discipline:

Engineering

Sector:

Manufacturing

University:

The University of British Columbia - Okanagan

Program:

Accelerate

Link Prediction on Knowledge Graphs with Graph Neural Networks

Knowledge graphs store facts using relations between pairs of entities. In this work, we address the question of link prediction in knowledge graphs. Our general approach broadly follows neighborhood aggregation schemes such as that of Graph Convolutional Networks (GCN), which in turn was motivated by spectral graph convolutions. Our proposed model will aggregate information from neighbour entities and relations. Contrary to most existing knowledge graph completion methods, our model is expected to work in the inductive setting: Predicting relations for entities not seen during training.

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Faculty Supervisor:

David Poole

Student:

Partner:

ServiceNow Canada

Discipline:

Computer science

Sector:

Information and Communications Technology; Technology

University:

The University of British Columbia

Program:

Accelerate

Le marketing de contenu B2B dans les PME: état de l’art sur les enjeux d’implantation du marketing de contenu

Depuis quelques années, de plus en plus de petites ou moyennes entreprises intègrent le marketing de contenu dans leurs stratégies sur les réseaux sociaux. Ce marketing consiste «?à créer et à distribuer du contenu pertinent et précieux afin d’attirer, d’acquérir et d’engager un public cible clairement défini et bien compris, dans le but de générer une action rentable de la part du client?» (Content Marketing Institute, 2019, traduction libre).Toutefois, comment une PME peut-elle savoir si elle est apte à instaurer le marketing de contenu dans l’entreprise?? Cette recherche porte sur le marketing de contenu B2B dans les PME. Elle vise à concevoir une grille d’analyse qui dresse la plupart des décisions stratégiques de communication du marketing de contenu. Grâce à un stage dans l’agence Beauvoir, ce projet offre une opportunité unique de comparer les décisions stratégiques de communication dans la littérature scientifique à celles utilisées sur le terrain.

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Faculty Supervisor:

Dany Baillargeon

Student:

Partner:

Beauvoir

Discipline:

Sociology

Sector:

Professional, scientific and technical services

University:

Université de Sherbrooke

Program:

Accelerate

Structuration d’un accélérateur d’entreprise spécialisée en intelligence artificielle : Thales AI@Centech

Thales vient de lancer son accélérateur AI@Centech. Situé à Montréal, l’accélérateur a pour objectif d’accompagner, sous forme de cohortes de 6 mois, des start-ups qui fournissent des solutions basées sur l’intelligence artificielle (AI). Cette grappe Mitacs, qui réunit des stagiaires de l’ÉTS et de Polytechnique Montréal, vient appuyer Thales dans la structuration de son accélérateur, autant d’un point de vue de gestion de l’innovation que de gestion de développement de logiciel (DevOps). Les stagiaires auront notamment à cartographier l’écosystème d’innovation, identifier des partenariats potentiels, recenser les meilleures pratiques, créer des outils d’accompagnement pour les cohortes et soutenir les start-ups dans le développement de logiciel.

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Faculty Supervisor:

Mickaël Gardoni;Fabiano Armellini;Catherine Beaudry

Student:

Partner:

Thales Canada Inc (Montreal, QC)

Discipline:

Engineering

Sector:

Management of companies and enterprises; Manufacturing; Professional, scientific and technical services

University:

École de technologie supérieure; Polytechnique Montréal

Program:

Accelerate

Industrialisation des processus de pilotage et d’exécution de la construction

L’industrialisation du secteur de la construction suggère une transformation qui s’appuie sur diverses technologies visant à collecter des données en temps réel lors de l’exécution de projet, notamment via l’emploi de drones, caméras, outils télémétriques, capteurs et puces à radiofréquences. Ces technologies tendent à changer les façons de faire des entreprises de construction. La recherche proposée vise à définir les processus de pilotage et d’exécution des projets de construction et développer des modèles de collecte, de traitement, de fusion et d’exploitation des données liées à l’évaluation de la performance, au suivi de projet et au retour d’expérience. Ce projet de recherche permettra l’intégration de diverses technologies à des fins de réingénierie et d’automatisation des processus de pilotage et d’exécution des projets par le développement de modèles de données capables de capter, traiter et exploiter les informations pertinentes pour optimiser la prise de décision durant l’exécution de projets de construction.

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Faculty Supervisor:

Mario Bourgault;Robert Pellerin;Christophe Danjou

Student:

Partner:

Pomerleau

Discipline:

Engineering

Sector:

Construction and infrastructure

University:

Polytechnique Montréal

Program:

Accelerate

Acoustic Emission Testing of Fibers Exposed to Different Environmental Conditions

This research project investigates methods for detecting damage and breakage in fibers used in fiber-reinforced polymer composite pressure piping. Of primary interest is Acoustic Emission (AE) technology to isolate and identify damage types and corresponding AE features for fiber reinforcement rupturing when exposed service loads and different environmental conditions. Sound signals produced by fiber rupture shall be detected, recorded, and analyzed. In this context, the design and manufacture of suitable fiber specimens shall be undertaken, followed by controlled experimental testing applying different loading scenarios. Identifying and characterizing different types of AE signals related to fiber damage will conclude the project.

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Faculty Supervisor:

Pierre Mertiny

Student:

Partner:

Shawcor Ltd (AB)

Discipline:

Engineering

Sector:

Manufacturing; Mining; Other services (except public administration); Professional, scientific and technical services; Transportation and warehousing

University:

University of Alberta

Program:

Accelerate

Electro-optical chip development for secure satellite optical communications networks

Free-space optical inter-satellite communication has become an area of key interest in global research and development towards satellite-based communication networks. The aim of this project is to research and develop a thermally stable, multi-watt, optical phased array for the purpose of coherent mechanism-free beam steering in inter-satellite communication systems. Development of this electro-optic chip is part of an ongoing effort headed by Honeywell Aerospace to develop low cost technologies to support secure satellite optical communication networks, including the determination of the effectiveness of the use of terrestrial parts for use in space environments.

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Faculty Supervisor:

Jayshri Sabarinathan;Amr Helmy;Amr Helmy

Student:

Partner:

Honeywell Canada (Kanata, ON)

Discipline:

Engineering

Sector:

Information and cultural industries; Manufacturing

University:

The University of Western Ontario; University of Toronto; Western University

Program:

Accelerate

Evidence-informed Planning and Evaluation of Community Transitions: Impact on Health and Quality of Life (Phase II)

Many of St.Amant’s services are shifting to provide the most inclusive, supportive, community-based services with the intention of enhancing health, accessing to healthcare, and improving the quality of life of persons supported and that of their families and caregivers. As part of its vision statement, St.Amant is supporting a number of persons with intellectual and developmental disabilities throughout their move from St.Amant Health and Transition Services to a variety of community-based residences. Our research team is conducting a longitudinal evaluation study to assess the process of community transitions as well as the impact that these community transitions have had on the health and quality of life of people who were transitioned. This is Phase II of the study, which involves conducting two annual post-transition follow-up assessments so that the longer-term impact of the community transitions on the health and quality of life of the transitioned persons with disability could be better understood.

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Faculty Supervisor:

Shahin Shooshtari

Student:

Partner:

St. Amant Foundation

Discipline:

Sociology

Sector:

Health and Related Sciences & Technology

University:

University of Manitoba

Program:

Accelerate

Optimization of Bioink Composition for Efficient Mesenchymal Stromal Cell Chondrogenic Differentiation in an Animal Component-Free Culture

Culture of cells in three-dimension (30) allows cells to interact with their surrounding and grow in all directions and behave in a manner that is more closely associated to how they would in vivo as long as their nutrient and environmental requirements are maintained. In this context, bioprinting offers an advantage over 20 cell cultures as it allows cells to be mixed with growth factors and biomaterials that can be printed into structures that mimics the natural tissue characteristics. Cartilage repair due to trauma or disease has been proven difficult in vivo by traditional methods. Herein, we propose to develop and optimize a 30 system to improve cartilage formation in vitro, and several “bioinks” are commercially available with pro-chondrogenic activity. Mesenchymal Stromal Cells (MSCs) are progenitor cells able to differentiate into cartilage-making cells that can be easily extracted from a variety of tissues in the body. MSCs will be incorporated into bioinks in the presence of factors known to stimulate cartilage formation and printed into a structure that allows for evaluation of cell activity, health and extent of differentiation.

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Faculty Supervisor:

Ahmad Haidar;Maryam Tabrizian

Student:

Partner:

STEMCELL Technologies Canada Inc

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology; Manufacturing; Mining; Professional, scientific and technical services

University:

McGill University

Program:

Accelerate

The Panjiao (Doctrinal Classification) Practice of Huayan Chinese Buddhism

Panjiao ??, or “doctrinal classification” is a practice unique to Chinese Buddhism that was established during the early period when Buddhism spread to China. Panjiao allows a Buddhist school to envision its place (usually at the supreme position) in the overall Buddhist tradition. Panjiao represents the broadest look of a philosopher vis-à-vis the entire doctrinal landscape of Buddhism and is therefore a valuable source to see the panorama of the early intellectual history of Buddhism. Panjiao also offers rich insights into the self-perception of a tradition, as to what unites and separates it from other traditions. In the act of comparing and ranking doctrines, doctrinal nuances often become clearly articulated, which are missing in the formal teaching of that tradition.

The present study focuses on the panjiao of Huayan Buddhism through the texts of Fazang ?? (643-712), the third Huayan patriarch. In particular, I will translate and annotate Fazang’s youxin fajie ji ????? and passages from other texts that bear on panjiao.

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Faculty Supervisor:

Jinhua Chen

Student:

Partner:

École Pratique des Hautes Études

Discipline:

Sociology

Sector:

Education

University:

The University of British Columbia

Program:

Globalink Research Award

Élaboration d’un système manufacturier intelligent pour le pilotage des processus de production dans l’industrie de valorisation du bois : cas du processus de reséchage de précision dans une scierie

L’industrie de la valorisation de bois fait face aujourd’hui à des défis de plus en plus complexes. En plus de leur quête continuelle de performance et de compétitivité, des facteurs tels que les changements climatiques, la disponibilité des ressources, l’augmentation des sources de variabilité ou bien même la rareté des compétences augmentent la pression sur ces industries. Pour rester compétitives et performantes et répondre aux exigences du marché, les industries doivent devenir agiles et flexibles. L’émergence de l’industrie 4.0, via la disponibilité de nouvelles technologies et l’amélioration de la capacité prédictive des méthodes issues de l’intelligence artificielle, a permis d’améliorer la productivité des processus industriels. Ce projet de recherche a pour principal objectif d’exploiter les méthodes d’intelligence artificielle et de l’optimisation pour concevoir un système manufacturier intelligent pour piloter la performance des processus de production dans une scierie.

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Faculty Supervisor:

Loubna Benabbou;Mustapha Ouhimmou;Loubna Benabbou

Student:

Partner:

FPInnovations (Québec, QC)

Discipline:

Engineering

Sector:

Manufacturing; Professional, scientific and technical services

University:

École de technologie supérieure; Université du Québec à Rimouski

Program:

Accelerate