Innovative Projects Realized

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

29670 Completed Projects

2811
AB
4990
BC
801
MB
663
NL
825
SK
8841
ON
9197
QC
95
PE
568
NB
1088
NS

Projects by Category

Machine learning classification of Canadian mammal bones

Natural history collections and the specimens stored within are vital to our understanding of biodiversity, ecology, and evolution. To both preserve and increase their accessibility, efforts are being made to digitize the world’s natural history collections. In herbariums (natural history collections for plants), machine learning is being used to assist the digitization process by classifying unlabelled specimens. In this project, we will use machine learning to classify Canadian mammal skulls and mandibles. Additionally, we will use machine learning to help resolve issues of taxonomy in groups such as wolves, lemmings/voles, and deer mice. This project will serve as a case study for machine learning classification of mammal bones as well as a possible precursor to a citizen science machine learning application.

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Faculty Supervisor:

Katie Marshall

Student:

Partner:

Canadian Museum of Nature

Discipline:

Life Sciences

Sector:

Life Sciences (not health); Artificial Intelligence; Environmental Science and Technology

University:

The University of British Columbia

Program:

Accelerate

UAV-based persistent surveillance system

Unmanned aerial vehicles (UAVs) have become ubiquitous. However, many challenges still need to be addressed to capitalize on their unique capabilities to support the creation of new Internet-of-Things services. The main difficulty is managing a swarm of UAVs in challenging environments. This project focuses on developing and evaluating a new UAV-based persistent surveillance system (UPSS) with distinguishing features. UPSS will rely on new energy-efficient consumption and coverage mechanisms for a swarm of UAVs when tested under various mission scenarios and constraints. This project is differentiated by its methodology, which combines well-established simulators and accurate experiments in a synergistic way to validate the algorithms derived from graph theory, artificial intelligence, operational research, and control theory. We are convinced that the resulting solutions will strengthen the position of Canadian aeronautical engineering companies and its suppliers like NOTOS as leaders in the UAV domain of interest.

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Faculty Supervisor:

Nadjia Kara

Student:

Partner:

Notos Technologies Inc.;Shearwater Aerospace

Discipline:

Engineering

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

École de technologie supérieure

Program:

Accelerate

Effet différentiel des prix littéraires sur les ventes en librairie et les prêts en bibliothèque

Ce projet vise à approfondir les connaissances sur les facteurs influençant les ventes de livres, tant les ventes aux con-sommateurs dans les librairies indépendantes que les ventes aux bibliothèques, en se concentrant sur l’effet des prix littéraires. Les prix littéraires peuvent envoyer un signal de qualité, cependant la compréhension de l’effet des prix sur les ventes est limitée. En utilisant un ensemble de données unique, il sera possible de démontrer l’effet de différents prix littéraires sur les ventes de livres en librairie et au bibliothèque. L’étude permettra aux intervenant(e)s du secteur de me-surer concrètement l’impact des prix sur les ventes et de comprendre les effets de différentes caractéristiques des prix. Cette étude se réalisera conjointement avec le Partenariat de SynapseC, un organisme valorisant les données des arts et de la culture au Québec et au Canada et ayant comme mandat de permettre une meilleur vision d’ensemble.

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Faculty Supervisor:

Renaud Legoux;François Carrillat

Student:

Partner:

Synapse C;Institut de valorisation des données

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

HEC Montréal

Program:

Accelerate

Geology, mineralogy, lithogeochemistry, and genesis of mineralization in the Silurian Whisker Valley Cu-Au system, Newfoundland Appalachians

This project is focused on understanding the relationships between copper, gold, and other critical metals in central Newfoundland and their relationships of ore forming fluids to magmatism, faulting and ancient volcanic activity. The work will involve three MSc-level interns that will undertake fieldwork, laboratory work and computer modeling (i.e., machine learning) while being embedded with the industry partner to understand the origin of and potential vectors to copper-gold-critical metal mineralization, and how to identify prospective environments for future mineralization. The results will be used to create new knowledge, models, and exploration and development workflows that the partner organization can use to more efficiently explore and develop metals in the Newfoundland Appalachians and similar geological environments globally.

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Faculty Supervisor:

Stephen Piercey;Daniel Layton-Matthews;Daniel Layton-Matthews;Stephen Piercey

Student:

Partner:

Maritime Resources

Discipline:

Earth science

Sector:

Mining

University:

Memorial University of Newfoundland; Queen's University

Program:

Accelerate

Creaform3d : Segmentation d’image basée sur l’IA appliquée aux technologies de scan 3D

Creaform est une compagnie qui développe des technologies de scan et de mesure 3d pour l’inspection industrielle et la rétro-ingénierie. Les numériseurs sont tenus en main et reliés à un ordinateur portable qui permet de visualiser la géométrie de la surface des objets mesurés pendant l’acquisition. Généralement, les numériseurs sont utilisés dans un environnement contrôlé, mais certaines applications nécessitent de travailler dans des conditions plus difficiles, et même à l’extérieur qui peuvent affecter les performances. Le projet vise à développer de nouvelles approches basées sur l’IA afin de repousser les limites des algorithmes de vision numérique actuellement utilisés dans nos technologies.

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Faculty Supervisor:

Christian Gagné;Denis Laurendeau

Student:

Partner:

Creaform3d

Discipline:

Computer science

Sector:

Manufacturing

University:

Université Laval

Program:

Accelerate

Development of User Onboard Processes

The business strategy intern will be instrumental in developing, documenting and implementing strategies to streamline our internal processes through the adoption of technology tools. This project will include the sales, operations, finance and technology departments to enhance communications and workflows.

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Faculty Supervisor:

Mira Ray

Student:

Partner:

Spontaneous Paid Opportunities Today Inc.

Discipline:

Business

Sector:

Professional, scientific and technical services

University:

Georgian College

Program:

Business Strategy Internship

Développement de lève-personnes multifonctions

Avec le vieillissement de la population, le personnel en soin de santé est de plus en plus demandé pour s’occuper des patients. Un aspect important des soins est la mobilité des patients. La mobilité peut être séparée en deux catégories, soit le transfert de patient qui permet d’amener le patient d’un endroit à un autre, et la réadaptation qui permet à un patient de rester actif en ayant une assistance pour faire certaines tâches physiques comme la marche, la verticalisation et s’accroupir. Présentement, pour remplir les deux tâches de mobilité aux patients, différents appareils doivent être utilisés. Un équipement permettant à la fois le transfert de patients et la réadaptation permettrait de simplifier le travail des préposés et d’apporter plus de mobilité aux patients, et donc d’améliorer la qualité des soins. L’objectif du projet est d’approfondir et d’intégrer de nouvelles technologies de motorisation dans les futures générations de produits Arjo afin d’augmenter leurs fonctionnalités.

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Faculty Supervisor:

Alexandre Girard

Student:

Partner:

Arjo

Discipline:

Engineering

Sector:

Manufacturing

University:

Université de Sherbrooke

Program:

Business Strategy Internship

Marine Icing Models and Sensors for Arctic Exploration Vessels

Marine icing problems pose significant risk to both marine vessel stability and human safety during harsh weather operations. The project will address a need for better physical understanding of marine icing phenomena and the development of appropriate sensors for detecting marine icing conditions. Current technologies have proven inadequate for marine conditions due to the complex nature of marine structures and the conditions leading to icing, as many are developed for fresh water environments or atmospheric icing conditions for aeronautical and/or land based structures. New technologies for better prediction of icing conditions and ice accretion levels will assist industry in developing both anti-icing and de-icing strategies.

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Faculty Supervisor:

Yuri Muzychka;Serpill Kocabiyik

Student:

Partner:

Petroleum Research Newfoundland & Labrador;Statoil

Discipline:

Engineering

Sector:

Mining; Professional, scientific and technical services

University:

Memorial University of Newfoundland

Program:

Accelerate

Modélisation d’un arc électrique immergé nanoseconde dans le cadre de la synthèse de nanoparticules

L’objectif de ce projet est de mettre au point un modèle numérique permettant d’étudier la dynamique du milieu environnant un arc immergé nanoseconde. Le système est supposé à l’équilibre thermodynamique local.
En s’appuyant sur des mesures courant-tension réalisées au sein de l’équipe, le modèle doit permettre de résoudre le champ électrique et magnétique.
Lors d’une décharge dans un liquide, une bulle de cavitation est générée. La taille et la pression de cette bulle évoluent avec le temps et peuvent être modélisées à l’aide du modèle de Rayleigh-Plesset. L’interface liquide/vapeur, zone importante pour la synthèse de nanoparticules, doit également être prise en compte afin d’y obtenir la concentration des différentes espèces.
Une attention particulière sera portée sur les phénomènes aux électrodes liés au passage du courant. En effet, l’échauffement induit une vaporisation et/ou une fusion partielle de l’électrode dont il faut tenir compte afin d’obtenir l’évolution du mélange gazeux au cours du temps.

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Faculty Supervisor:

Ahmad Hamdan

Student:

Partner:

Université de Toulouse

Discipline:

Physics

Sector:

Education

University:

Université de Montréal

Program:

Globalink Research Award

Co-operators : Création de plongements et représentations pour l’assurance commerciale

En assurance commerciale, il est important de pouvoir comprendre l’industrie dans laquelle opère une entreprise afin de bien identifier les risques auxquels l’entreprise est exposée. À cette fin, l’approche traditionnelle consiste à assigner à chaque entreprise un code d’industrie. Cependant, cette assignation est problématique car la plupart des classifications d’industrie comptent des centaines et souvent même des milliers de classes. Ceci rend la tâche très difficile pour un humain parce que : 1) retenir toutes les classes est presque impossible ; 2) les distinctions entre deux classes peuvent être extrêmement subtiles de telle sorte que deux agents pourraient ne pas s’entendre sur le bon choix de classe dans certaines situations. De plus, ces classes ne nous permettent pas facilement de mesurer à quel point deux industries sont similaires (ou différentes). Pour pallier à ces problèmes, nous proposons d’étudier la possibilité de créer des plongements denses à peu de dimensions (i.e. environ 20) pour représenter chacune de ces classes.

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Faculty Supervisor:

Christian Gagné;Pascal Germain

Student:

Partner:

Co-operators (General Insurance)

Discipline:

Computer science

Sector:

Finance and Insurance

University:

Université Laval

Program:

Accelerate

Development of a tool to assess the impacts of efficient technologies in residential districts

Today, the world faces climate change, uncoordinated depletion of natural resources and rapid urbanization. Buildings in cities account for about 25% of the global energy consumption and 15% of the energy-related greenhouse gas emissions. Likewise, in the province of Québec, buildings are responsible for a large share of the total energy use. A recent study shows that the building sector in Québec accounts for 31% of the total energy use, from which 18% is the share of residential buildings. Projections show that population growth, facilities concentration, and diverse economic activities in urban areas will intensify these figures unless valid energy practices are applied to the building stock. Towards the notion of net-zero energy communities, this project aims to develop a tool to assess the impact of adopting energy technologies in future residential neighbourhoods. This tool will contain various building and technology archetypes and help compare the baseline demand profile of different layouts. The novelty of this project is to use a gray-box approach for developing design-oriented building archetypes that facilitate energy assessment at the early design stage. For example, key design variables in these archetypes will be 1) total floor area, 2) total fenestration area, 3) building type, and 4) level of insulation. Primarily, this tool provides a platform for community designers and planners to make informed decisions and optimize the design; however, it can also be useful for retrofit applications in the existing neighbourhoods.

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Faculty Supervisor:

Andreas Athienitis

Student:

Partner:

Hydro-Quebec

Discipline:

Engineering

Sector:

Professional, scientific and technical services; Utilities

University:

Concordia University

Program:

Business Strategy Internship

New Generation Membrane Electrode Assembly using Novel Nanoporous Carbon Scaffold

Hydrogen fuel cells (HFCs) are clean and efficient energy conversion devices that produce electricity from green hydrogen with zero carbon emissions. Currently, the catalyst layers in HFCs are composed of Pt-decorated carbon powders mixed with an ion conducting polymer (ionomer), leading to uncontrolled distribution of each phase and significant tortuosity due to the complex pores and pathways between particles.
The membrane electrode assembly (MEA) is the core component of a HFC that plays the most critical role in the HFC performance and lifetime. However, there are gaps in the MEA market involving high cost and inadequate performance. Momentum Materials Solutions Corp, an Alberta start-up, recruits a Mitacs M.Sc. student from the University of Calgary to develop a paradigm-shifting MEA technology using proprietary, novel, and ordered nanoporous carbon materials, with the goal being to fill the industry gaps and achieve high significantly improved performance and lifetime.

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Faculty Supervisor:

Viola Birss

Student:

Partner:

Momentum Materials Solutions

Discipline:

Physics

Sector:

Manufacturing

University:

University of Calgary

Program:

Accelerate

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