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

Analyse de segmentation de données philanthropiques pour Les Grands Ballets Canadiens

Le projet propose une analyse de segmentation des donateurs individuels des Grands Ballets Canadiens. L’analyse sera effectuée avec des données personnelles détenues par l’organisme. Ultimement, un portrait des différents types de donateurs (et de leur profitabilité) ainsi que des recommandations concrètes seront formulées afin de mieux cibler les donateurs individuels et de répartir efficacement les ressources de l’organisme, notamment en termes d’effort en communication et en événementiel. Par ailleurs, des recommandations quant aux indicateurs de performance à consulter régulièrement pour faciliter la prise de décision serviront à mieux guider la future gestion des efforts marketing du département de financement.

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Faculty Supervisor:

Renaud Legoux;Danilo Dantas

Student:

Partner:

Synapse C

Discipline:

Business

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

HEC Montréal

Program:

Accelerate

Système automatisé d’extraction des modules en mauvaise santé dans les batteries usagées de véhicule électrique dédié au développement d’une source de 250kWh

Afin de réduire l’empreinte environnementale, l’électrification des transports est une solution pour réduire les
changements climatiques mais qui apporte aussi un problème majeur, soit un apport de batteries difficilement
recyclables. Le projet de recherche propose un reconditionnement des batteries usagées des véhicules électriques par
un remplacement des modules dont la santé est inadéquate dans des applications de stockage d’énergie renouvelable
dont la densité d’énergie est moins critique que dans le transport. En ce sens, Énergie Positive souhaite concevoir
une station automatisée de reconditionnement considérant différentes sortes de batteries tout en réduisant au
minimum l’implication d’humain dans le démontage et le remontage d’une batterie.

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Faculty Supervisor:

Martin Otis;Mohand Ouhrouche;Martin Otis;Ramy Meziane

Student:

Partner:

Positive Energy

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Université du Québec à Chicoutimi

Program:

Accelerate

Improving usability and interoperability of autonomous and remote operated marine survey vessels

The popularity of autonomous survey vessels (ASVs) are rapidly increasing due to their low-cost, efficiency, ease of operations, and safety benefits. These systems are applied to ocean mapping survey operations that would have traditionally been completed by small, crewed vessels using either single beam or multibeam echosounder systems. To maintain the simplicity of the ASV, the remote-controlled propulsion system is often separate from the onboard sonar and positioning hardware system. This project looks to bridge the gap between the navigation, sonar, and propulsion systems by implementing low-cost and energy efficient single-board computers to capture, process and transmit data streams. The project objectives look to maintain existing system hardware but add intelligence in navigation and data processing functionality without hindering run-time and operational capability. The developed systems and implementation design will add value to low-cost ASVs by introducing line following and autopilot functionality, along with data processing, analytics, and cloud connectivity.

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Faculty Supervisor:

Ian Church

Student:

Partner:

Spatialnetic Solutions Inc.

Discipline:

Engineering

Sector:

Information and cultural industries

University:

University of New Brunswick

Program:

Accelerate

Optimisation des chantiers d’abattage du projet Upper Beaver d’Osisko

Un chantier d’abattage correpond au volume de minerai extrait lors de l’exploitation de la mine souterraine entre deux niveaux successifs. La rentabilité d’une mine est fortement liée à la délimitation la meilleure possible de ces chantiers. Le projet vise à appliquer une nouvelle méthode de définition des chantiers d’abattage qui incorpore directement les contraintes minières, et donc qui tient compte de l’inévitable dilution associée, dans l’optimisation. La méthode s’inspire des méthodes éprouvées utilisées pour les mines à ciel ouvert. Il devrait en résulter des chantiers dont l’emplacement et l’extension horizontale sont optimaux. Le projet permettra aussi de déterminer quel intervalle doit être utilisé entre les différents niveaux pour maximiser les revenus, tenant compte des coûts croissants pour des niveaux plus rapprochés. Il devrait résulter de ce projet une meilleure défintion des chantiers, un choix optimal de l’espacement entre les niveaux et donc une rentabilité accrue pour la mine.

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Faculty Supervisor:

Denis Marcotte

Student:

Partner:

Osisko Mining Corporation

Discipline:

Engineering

Sector:

Mining

University:

École Polytechnique de Montréal

Program:

Accelerate

Geospatial and machine learning methods in traumatic brain injury prediction and prevention in Nova Scotia

Traumatic brain injury (TBI) is a leading cause of death and disability. One area of injury prevention research is to use geographic information systems to identify at-risk neighbourhoods for targeted intervention. However, few studies have been conducted to investigate the geographical distribution of TBI in Canada. The proposed project is based on the linked trauma registry data, emergency medical service data and Canadian census data, which contains about 4500 TBI patients from year 2002-2018. TBI incidence will be mapped by age, sex, and major mechanisms of injury (e.g., falls or motor vehicle collisions) over years to identify high risk geographic areas of TBI. Bayesian spatial regression models will be applied to investigate to what extent the spatial pattern of TBI risk is attributable to neighborhood-level factors. Further, machine learning methods will be used to predict in-hospital mortality and hospital length of stay in TBI patients for preventing future most severe outcomes among TBI patients.

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Faculty Supervisor:

Cindy Feng;Syed Sibte Raza Abidi;David Clarke

Student:

Partner:

Super GeoAI Technology Inc.

Discipline:

Mathematics

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

Dalhousie University

Program:

Accelerate

Walk with Me: Storying the Toxic Drug Poisoning Crisis

This project will support enhancements to and documentation of Walk with Me, a Community Based Research Initiative that brings attention to the toxic drug poisoning crisis through an arts framework. Both interns will build upon the project findings in phase I, to model new human centred modes of community collaboration, reduce harm and stigma caused by the toxic drug crisis, and give voice to those with lived and living experience. Further benefiting the Comox Valley Art Gallery by advancing it’s role in addressing local social justice issues within a small town/city.

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Faculty Supervisor:

Amanda Wager

Student:

Partner:

Walk With Me

Discipline:

Sociology

Sector:

Arts, entertainment and recreation

University:

Vancouver Island University

Program:

Accelerate

An integrated platform for processing pilot trainee’s biometric data

Training and simulation technologies in the field of aviation are evolving towards more human centered solutions where promoting an optimal learning experience is given high priority. Considering the limited availability of flight instructors, the cost in teaching a pilot trainee heavily depends on the effectiveness and efficiency of the training. This requires a timely feedback about the trainee’s status in learning. The development of a platform integrated of methods for inferring pilot’s cognitive/affective states during flight simulation can help the instructors gain a better understanding of pilot trainee’s behaviors. In this way, instructors can provide required corrections and adjustments during the training process to fit different trainee’s learning styles and progresses. The success of this project will significantly improve the quality and reduce the cost of pilot training.

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Faculty Supervisor:

Yong Zeng;Dongyu Qiu

Student:

Partner:

CAE

Discipline:

Engineering

Sector:

Aerospace; Artificial Intelligence

University:

Concordia University

Program:

Accelerate

Simulation Boursière : Développement d’un outil d’analyse pour la performance des investisseurs

Boursify est une plateforme de simulation boursière qui permet à des groupes corporatifs et à des étudiants de vivre l’immersion complète dans l’univers boursier en transigeant les actions d’une économie fictives le temps d’une journée. Comme l’économie dans laquelle s’exerce chaque compétition diffère d’une simulation à l’autre, la façon dont les participants réagissent aux marchés et l’appréciation globale peuvent varier d’une simulation à l’autre.
Le but de la recherche est ainsi d’améliorer le processus de génération des scénarios boursiers afin d’offrir une expérience plus adaptée aux participants, sois en offrant 1- un niveau de difficulté convenant à l’expertise des investisseurs et 2- une rétroaction personnalisée à la performance individuelle du participant, pourvue de conseils financiers et de ressources éducatives appropriées.
Le stagiaire travaillera sur la construction d’un outil de rétroaction personnalisé offrant des conseils financiers et des recommandations spécifiques à la performance financière d’un portefeuille financier simulé conjoint à chaque individu. Le développement de cet outil de diagnostic permettra de mieux identifier les forces et les faiblesses d’un joueur afin d’offrir à ce dernier la possibilité de mieux se connaître en tant qu’investisseur et d’être guidée vers des ressources appropriées.

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Faculty Supervisor:

Léo Raymond Belzile

Student:

Partner:

Boursify

Discipline:

Business

Sector:

Arts, entertainment and recreation

University:

HEC Montréal

Program:

Accelerate

Assessing foliar fungicide mobility and persistence in wild blueberries

Foliar diseases in the vegetative year such as Sphaerulina leaf spot, leaf rust and Valdensia leaf spot pose problems to wild blueberry growers in Atlantic Canada. The pathogens that cause foliar disease infect the leaf tissue and create chlorotic or necrotic areas that prevent the plant from photosynthesizing. When a plant cannot photosynthesize, it is unable to create sufficient amounts of carbohydrates required to produce blueberries, ultimately reducing harvestable yields. Fungicides are a chemical control option that growers can use to prevent foliar diseases. To date no research has been conducted on the mobility and persistence of foliar fungicides used on wild blueberry. The purpose of this project is to determine, 1) which fungicides have the greatest trans cuticular movement, allowing for increase mobility, 2) how do these fungicides move within the leaf tissue, and 3) how long do fungicides persist in the leaf tissue. A combination of field trials and laboratory experiments will be used to answer these questions. The findings of this project will be used to make recommendations to growers and guide future research to better understand the mechanisms for increased fungicide efficacy.

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Faculty Supervisor:

David Percival

Student:

Partner:

Bragg Lumber Company Limited

Discipline:

Earth science

Sector:

Agriculture and Food; Sustainability & the Environment; Environmental Science and Technology

University:

Dalhousie University

Program:

Accelerate

Étude longitudinale sur l’adaptation psychosociale des enfants vivant en contexte pandémique

L’Organisation mondiale pour la Santé déclare que l’éclosion de la COVID-19 est une pandémie le 11 mars 2020. Depuis et au cours des vingt derniers mois, face à la propagation du virus et à la mortalité qui l’accompagne, le gouvernement du Québec a mis en place des mesures d’isolement sanitaire et de confinement impliquant pour les enfants et les adolescents un bouleversement des habitudes de vie et sollicitant leurs capacités d’adaptation. Alors que les premières études établissent que l’adaptation globale des enfants n’est pas compromise il semble que certains groupes d’enfants s’adaptent moins bien que d’autres. Certains chercheurs mentionnent également que les difficultés même mineurs qui émergent ne pourraient être que la pointe de l’iceberg nécessitant de suivre les enfants et les adolescents sur de plus longues périodes pour s’assurer de leurs capacités d’adaptation. Après trois temps de mesure collectés en mai 2020, janvier 2021 et juin 2021, ce volet du projet propose de recontacter les 237 familles ayant déjà rempli l’enquête. Il vise à évaluer l’adaptation des enfants et des adolescents plus de deux ans après le début de la pandémie et de comparer les niveaux d’adaptation psychosociale et la santé mentale des enfants 6-17 ans entre les temps

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Faculty Supervisor:

Claire Baudry

Student:

Partner:

Fondation Jasmin Roy Sophie Desmarais

Discipline:

Sociology

Sector:

Education; Other services (except public administration)

University:

Université du Québec à Trois-Rivières

Program:

Accelerate

An ecosystem approach to quantifying behavioural and energetic impacts of anthropogenic disturbance to Arctic whales

Climate change is driving a transformation of the Arctic. An increased interest in the natural resources and strategic location of the region is bringing with it higher levels of underwater noise. Military sonar has been linked to the disruption of foraging and communication, and even the death of whales. However, we know very little about the impacts of military sonar on Arctic whale species. This constrains the ability of regulators to effectively manage sonar activities. As a result, this project aims to investigate the impact of military sonar on bowhead, sperm and Northern bottlenose whales. We will deploy tags on whales to record fine-scale whale behaviour and assess changes in the whale dive behaviour and vocalisations when they are exposed to sonar signals. The results will show the noise level at which whales respond to sonar, providing evidence for WWF-Canada when advocating for a sustainable and thriving Arctic ecosystem.

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Faculty Supervisor:

Sarah Fortune;William Halliday

Student:

Partner:

World Wildlife Fund Canada (Toronto, ON)

Discipline:

Life Sciences

Sector:

Agriculture; Other services (except public administration)

University:

Dalhousie University

Program:

Accelerate

High-efficiency supersonic binary fluid ejector Year Two

From the survey of literature (Eames et al. (1995), Chunnanond & Aphornratana (2004b), Chunnanond & Aphornratana (2004a) and others), the performance of a jet refrigeration system depends greatly on the ejector configuration (characteristics). Many researchers have shown the need to improve performance in order to make ejector-based cooling economically more attractive. It is known that the entrainment ratio (ratio between the mass flow rates of the entrained secondary fluid to the primary fluid) is one of the major parameters that influence the coefficient of performance (COP) of ejector refrigeration systems (Buyadgie et al. (2010), Chunnanond & Aphornratana (2004b)). Furthermore, the use of two chemically distinct fluids in the forward and reverse Rankine cycles of an ejector refrigeration system can improve the COP (Buyadgie et al. (2010)) when the selected binary fluids have different enthalpies of vaporization and different molecular masses. Several experimental investigations have been carried out to study the effect of ejector geometry on its performance…

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Faculty Supervisor:

Robert Martinuzzi

Student:

Partner:

May-Ruben Technologies

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Calgary

Program:

Elevate

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