Innovative Projects Realized

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

31133 Completed Projects

2940
AB
5159
BC
837
MB
685
NL
882
SK
9292
ON
9695
QC
97
PE
601
NB
1161
NS

Projects by Category

Optimisation de trajectoire dynamique pour des robots collaboratifs

De récents changements d’orientation dans la recherche et le développement de la robotique ont conduit au développement de robots collaboratifs sûrs et intuitifs. Pourtant, ces robots sont généralement confinés aux tâches d’automatisation traditionnelles et travaillent en mode non collaboratif. Ce projet de recherche vise à étendre les capacités des robots collaboratifs au-delà des applications d’automatisation industrielle et à les amener dans le domaine de la collaboration humain-robot (HRC). Nous explorerons et développerons de nouvelles techniques pour optimiser le mouvement du robot et de sa charge. Des méthodes d’optimisation du mouvement seront développées. Celles-ci auront l’avantage de naviguer automatiquement toutes les contraintes statiques présentes dans l’espace de travail du robot collaboratif. Plusieurs expériences en laboratoire seront effectuées sur une variété de plateformes robotiques afin de valider le modèle proposé.

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Faculty Supervisor:

André Gallant

Student:

Partner:

Kinova Robotics

Discipline:

Engineering

Sector:

Manufacturing; Professional, scientific and technical services

University:

Université de Moncton

Program:

Accelerate

Numerical simulation of bone conduction in the human head with open and occluded ears

The context of the project is fundamental research on human hearing, which has the overarching goal to improve hearing protector devices and hearing aids. The aim of the project is to predict the increased perception of physiological sounds such as one’s own voice due to a blocking of the earcanal using numerical simulations. This is challenging due to the different pathways included in the transmission of the sounds through the bones and soft tissues towards the inner ear. To account for this complexity, different models from the Canadian and German laboratories are combined. A better understanding of the problem will contribute to the improvement of hearing protector devices to be more comfortable, and thus reduce the occurrence of deafness among workers. Furthermore, the knowledge gained in this research project will help with the design of acoustically transparent hearing aids, so the acceptance by their users is improved.

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Faculty Supervisor:

Olivier Doutres

Student:

Partner:

Rheinisch-Westfälische Technische Hochschule Aachen

Discipline:

Life Sciences

Sector:

Education

University:

École de technologie supérieure

Program:

Globalink Research Award

Géolocalisation automatique par apprentissage profond d’éléments clés dans le fonctionnement des voies de chemins de fer Canadien

L’objectif principal du projet est de détecter par IA différents objets clés du réseaux ferrés.
Étape n°1 : prétraitement de la donnée
Les images utilisées ont une résolution de 5 cm (Go de données). Il sera donc nécessaire de les découper le long des chemins de fer pour faciliter le traitement. Vu que différentes résolutions seront nécessaires pour la détection des objets en fonction de leur taille, les meilleurs compromis entre lisibilité des images et poids des données devront donc être déterminés.
Étape n° 2 : Annotation des données
Chaque objet sera repéré visuellement puis marqué par plusieurs points. Un script découpera des imagettes de différentes tailles à partir de ces points offrant différents contextes au réseau de neurones. Un outil d’annotation de type « détection d’objets » sera utilisé pour créer des étiquettes au format YOLOv7, une architecture à la pointe de l’état de l’art en 2022.
Étape n°3 : Entraînement du modèle
L’entraînement consistera à rechercher les hyperparamètres optimums qui permettront d’atteindre la meilleure précision. Il est envisagé aussi que des modifications sur l’architecture soient testées, voire essayer avec d’autres architectures de détection d’objets.
Étape n°4 : Inférences, extraction des informations et transfert technologique
Le modèle retenu sera utilisé pour détecter les objets sur l’ensemble de la zone d’étude. Les données annotées, le savoir et les compétences acquises seront transmises à XEOS Imagerie Inc. sous la forme de document méthodologique, de scripts informatiques et d’une brève formation donnée à l’interne par le stagiaire au personnel de XEOS.

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Faculty Supervisor:

Yacine Bouroubi;Mickaël Germain

Student:

Partner:

XEOS Imagerie

Discipline:

Earth science

Sector:

Professional, scientific and technical services

University:

Université de Sherbrooke

Program:

Business Strategy Internship

Improving Modern Code Review Practices through Gamification

Modern code review (MCR) is broadly adopted as an established and effective software quality assurance practice, with an increasing number of open-source as well as commercial software projects that adopt code review as a crucial practice. The MCR process is most effective when developers follow best practices, such as efficient, collaborative and timely review discussions to improve the code quality, enhance knowledge transfer, increase team awareness and share code ownership. Such practices help encouraging developers participation in the review process and reducing conflicts in the team while ensuring that the code meets common quality standards before it is merged into the code base [3]. The objective of this research project is to incorporate gamification mechanism in the code review process by designing a gamification-based approach for code review that motivates software practitioners to adopt good code review practices.

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Faculty Supervisor:

Ali Ouni

Student:

Partner:

Mediterranean Institute of Technology

Discipline:

Engineering

Sector:

Technology; Artificial Intelligence; Information and Communications Technology

University:

École de technologie supérieure

Program:

Globalink Research Award

Acoustic Signals of Beaked Whales

For many whales, we still know little of where they occur and even what species exist. This is true for an elusive group of whales known as beaked whales. One method to study these deep-diving, offshore animals is acoustic recordings. Each beaked whale species is thought to produce a unique sound, called a click. Many beaked whale clicks have been reported around the globe that have yet to be assigned to species and new click types have been discovered that have yet to be characterized. The aim of this project is to provide an updated description of unknown beaked whale clicks globally and attempt to assign them to any known species or propose new species of beaked whales. This work will allow the partner organization, JASCO Applied Sciences, to better report on species occurrence in the data they collect using both automated methods and manual analysis of recorded sounds.

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Faculty Supervisor:

Hal Whitehead

Student:

Partner:

JASCO Applied Sciences (NS)

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

Dalhousie University

Program:

Accelerate

Scalable Training of Classification Systems Using Heterogeneous Input Data

Effective monitoring is an important component in safety and security related applications. Equipment failure, trespassing, theft and vandalism are all regular occurrences that the companies must deal with. These kinds of problems emphasize the importance of designing a state-of-the-art system for monitoring. In this project a system will be devised and trained to detect different moving-objects (pedestrians at the first step) and classify them into different groups. The system will be trained steadily by adding missing targets to the initial database. This intelligent classification will make monitoring systems to be capable of producing reports (It can be about number of people, vehicles in the site) and setting an alarms when it is necessary (For instance in case of animal detection). This work will allow company to develop a unique system for remote video monitoring.

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Faculty Supervisor:

Kyle O'Keefe

Student:

Partner:

Osprey Informatics Ltd;Myera Nu-Agri-Nomics Group Canada Inc

Discipline:

Earth science

Sector:

Energy and Utilities; Oil and Gas

University:

University of Calgary

Program:

Accelerate

Real time fuel classification from drone imagery for improved wildfire prediction

Wildfires are naturally occurring phenomena that are necessary for the health of boreal forests. However, fires can cause infrastructural damage and loss of life if they spread into places where people, towns, and other assets are at risk. Due to the impact of wildfires on society, attempts have been undertaken to assess wildfire potential, spread, and magnitude, as well as to anticipate their behavior after ignition. Predicting wildfire risk is essential when making forest management decisions and selecting the most effective wildland fire response tactics to mitigate their negative effects. This project aims to develop user-friendly, cost-effective software to enhance the capabilities of existing fire management software (developed by Fire AI) utilizing artificial intelligence systems that have already demonstrated their effectiveness and performance. This project will allow for the automatic identification of hazardous fuels in near real time around active wildfires.

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Faculty Supervisor:

Jeff Boisvert

Student:

Partner:

Fire AI

Discipline:

Computer science

Sector:

Agriculture

University:

University of Alberta

Program:

Accelerate

Topological band structure in synthetic dimensions

Emulating topological phases of matter in photonic systems appears particularly promising for engineering new generations of quantum devices more resilient to noise or external perturbations. Indeed, the great versatility of these platforms could allow developing specific architectures that have no counterparts in condensed matter. The goal of this project is to experimentally explore the fundamental limits of topological protection in systems whose dimensionality exceeds the usual three dimensions of space. To do this, it is necessary to define new degrees of freedom along which the electromagnetic field evolves: these are usually referred to as synthetic dimensions. More specifically, we will build an experimental platform to realize a theoretical proposal developed in collaboration with our colleagues at McGill University to use coupled optical fiber loops to emulate synthetic spaces of arbitrary dimension.

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Faculty Supervisor:

Philippe St-Jean

Student:

Partner:

École normale supérieure de Lyon

Discipline:

Engineering

Sector:

Quantum Science; Information and Communications Technology; Technology

University:

Université de Montréal

Program:

Globalink Research Award

Caractérisation des troubles de l’apprentissage moteur après traumatisme cérébral léger : une approche comportementale et neurophysiologique

La commotion cérébrale suite à un traumatisme crânien peut entraîner des conséquences diverses au niveau cognitif. Il est notamment possible de développer un syndrome post-commotionnel dans les suites d’une commotion et cet état peut perdurer dans le temps. Il peut être marqué, entre autres, par des troubles de l’apprentissage notamment au niveau moteur. Cela peut impacter négativement la rééducation et le retour aux activités scolaires ou professionnelles. La qualité de sommeil, possiblement altérée après un traumatisme crânien, peut également interférer avec la bonne récupération. Ce projet vise à évaluer le rôle des troubles du sommeil dans le syndrome post-commotionnel et à établir les relations avec les troubles de l’apprentissage, afin de garantir une meilleure prise en charge à l’avenir.

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Faculty Supervisor:

Louis De Beaumont

Student:

Partner:

Université de Liège

Discipline:

Life Sciences

Sector:

Education

University:

Université de Montréal

Program:

Globalink Research Award

Developing cellulose-based water-resistant coating for packaging applications

This project aims to develop lignocellulosic nanomaterials from Canada’s rich forest fibers for packaging applications. With the banning of single use plastic, more and more paper-based packaging products are developed. However, most of the paper-based packaging products do not have satisfied water-resistant performance. To enhance such performance, lamination using plastic or coating with toxic coating materials are needed. Here, we propose to develop a sustainable coating material using lignocellulosic biomass. The technology developed in this project will be utilized by the partner organization to coat on paper-based products. The partner will benefit significantly from this project as it is actively seeking for sustainable solutions that can be used in modifying paper-based packaging products. There are huge market with the paper-based packaging products with the banning of single use plastic in Canada. Therefore, the company want to shift from their petroleum-based packaging products to paper-based packaging materials.

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Faculty Supervisor:

Feng Jiang

Student:

Partner:

MF3 Solutions

Discipline:

Physics

Sector:

Manufacturing

University:

The University of British Columbia

Program:

Accelerate

Modes of action, emotions, and values in right-wing mobilization: the case of Colombia.

Social mobilization and contestation have long been associated with left-leaning forces in Colombia. This activity has often been stigmatized as being promoted by left-wing guerrilla groups. However, right-wing actors have in recent years increasingly adopted modes of contentious action that were traditionally associated with the left in Colombia. How can we explain this change in modes of action by right-wing forces? What meaning and efficacy are associated to different modes of action by the leaders and activists of right-wing groups? I will carry out comparative ethnographic research with several right-wing organizations in Colombia to tackle these questions. This research project will allow me to explore links between modes of action and emotions and values, as well as assessing the differentiated role that organizational decisions and personal feelings play in the selection of tactics of contestation. Right-wing social movements have long been neglected by social scientists. Nevertheless, right-leaning actors have had significant impacts on politics around the world in the last years…..

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Faculty Supervisor:

Françoise Montambeault

Student:

Partner:

Universidad del Rosario

Discipline:

Sociology

Sector:

Public Service, Policy, and Governance

University:

Université de Montréal

Program:

Globalink Research Award

The relationships among phytohormones and benzylisoquinoline alkaloids during early development of Papaver rhoeas L.

Benzylisoquinoline alkaloids (BIAs) constitute a diverse class of plant secondary metabolites (SM) that exhibit a myriad of pharmacological activities. While there have been tremendous efforts to chemically synthesize high-value BIAs, this approach is not economical due to their complex chemistry. Also, production of BIAs using traditional means also has several drawbacks. An alternative is the reconstitution of BIA biosynthetic pathways in suitable microbial hosts. A potential factor to enhance the microbe-based production of BIAs is the removal of regulatory restrictions or stimulation of relevant pathways. Plant hormones are a class of naturally occurring, small organic molecules that coordinate a comprehensive suite of physiological processes in plants at very low concentrations. Because plant hormones play important roles in regulating several signaling networks involved in plants, including the production of SM defence compounds, I hypothesize that phytohormones regulate BIA metabolism.

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Faculty Supervisor:

Neil Emery

Student:

Partner:

Max-Planck-Institut für Chemische Energiekonversion

Discipline:

Life Sciences

Sector:

Life Sciences (not health); Environmental Science and Technology; Agriculture and Food

University:

Trent University

Program:

Globalink Research Award

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Mitacs — Return on Innovation

Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.