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

Effet des logements alternatifs et d’additifs alimentaires sur les performances et la qualité des oeufs de pondeuses commerciales

L’élimination progressive des cages conventionnelles pour pondeuses au Canada obligera les producteurs à adopter des systèmes de logement alternatif, soit l’élevage en logements enrichis ou en volière. On observe que la mortalité et les risques de contamination bactérienne dans les volières sont plus importants que dans les logements enrichis. Dans un contexte où on craint l’augmentation du phénomène de la résistance aux antibiotiques, il faut diminuer l’utilisation des antibiotiques et utiliser des alternatives aux antibiotiques. Les algues offriraient une solution pour contrôler les pathogènes entériques et stimuler l’immunité. Les objectifs de cette étude sont d’évaluer l’impact des logements enrichis et des volières ainsi que l’effet d’un additif alimentaire, sur les performances et la qualité des oeufs des troupeaux de poules pondeuses. Les données de performances et de qualité d’oeufs seront comparées et des données supplémentaires recueillies auprès de producteurs d’oeufs seront colligées et analysées pour mieux comprendre l’impact des logements.

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Faculty Supervisor:

Martine Boulianne

Student:

Partner:

Agrigesco Inc.

Discipline:

Life Sciences

Sector:

Agriculture

University:

Université de Montréal

Program:

Accelerate

Coveo : Réponse automatique aux questions

La Plateforme de Pertinence Coveo est une plateforme SaaS infonuagique et multilocataire qui propose des solutions de recherche, de recommandation et de personnalisation. Coveo offre des solutions pour le commerce électronique, les services, les sites Web et les applications pour le milieu de travail.
Dans le cadre de son stage, le stagiaire pourra travailler dans l’équipe de réponse aux questions afin d’expérimenter et développer des modèles de réponse automatique aux questions.

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Faculty Supervisor:

Christian Gagné;Richard Khoury

Student:

Partner:

Coveo Solutions Inc

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

Université Laval

Program:

Accelerate

Des partitions codées créées à partir de musiques classiques

Ce projet vise à promouvoir les interprètes et les enregistrements de musiques classiques produits au Canada, par la création de partitions numériques codées. Le projet sera l’occasion de mettre en exergue des oeuvres musicales qui susciteront le développement musical des jeunes enfants en participant à une expérience ludique enrichissante par l’entremise de la technologie.

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Faculty Supervisor:

Jonathan Bolduc

Student:

Partner:

Mazaam

Discipline:

Sociology

Sector:

Information and cultural industries

University:

Université Laval

Program:

Accelerate

Conception et optimisation de bandes riveraines, de voies enherbées et de petits ouvrages de captage de l’eau et des sédiments au champ à l’aide de dispositifs expérimentaux et d’outils de modélisation hydrologique distribuée

Ce projet répond à une préoccupation majeure de toutes les communautés, notamment celles installées sur les bassins versants agricoles relativement à la qualité des eaux de surface accueillant des eaux de ruissellement en provenance des champs. Le niveau de pollution générée est préoccupant et des actions doivent être entreprises pour limiter l’accès des sédiments et des nutriments aux cours d’eau. C’est le rôle des bandes riveraines, des voies engazonnées et des petits ouvrages de captage qui seront mis en oeuvre sur l’ensemble du bassin versant du Castor à Pike River. À terme, ces ouvrages devraient permettre de filtrer entre 80 et 90% des particules de sols et des résidus de fertilisants se retrouvant dans les eaux agricoles. Ceci garantit ainsi une meilleure qualité de l’environnement aquatique et une sécurité accrue des usages de l’eau par les riverains.

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Faculty Supervisor:

Alain Rousseau

Student:

Partner:

Regroupement des organismes de bassins versants du Québec

Discipline:

Earth science

Sector:

Other services (except public administration); Public administration

University:

Université du Québec : Institut national de la recherche scientifique

Program:

Accelerate

World Class Manufacturing Technology Transfer: Engineering Lytehorse for Production

Lytehorse has designed an electric, stand-up riding, all-terrain vehicle that is quiet and minimizes its ecological footprint. This sustainable and powerful mode of transportation has diverse applications attracting customers from military, recreational and other industrial fields. The team has already established a network to source parts, customize component manufacturing and is currently embarking on small scale production for assessing an optimal mode for assembly for scaled production operation to enter the market in 2022-23. This project examines several modes of assembly, plant layouts and various tools to achieve efficient and quality assembly to meet the customer demands. Attention to key performance index assessment, eliminating waste, and optimizing production includes developing jigs, workbenches, monitoring and auditing tools for continual improvement and adapting to the marketplace. The project benefits for Lytehorse is for effectively growing its business to meet market demand for a new Canadian industry that has international markets.

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Faculty Supervisor:

Denise S.D. Stilling

Student:

Partner:

Lytehorse Labs Inc.

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Regina

Program:

Accelerate

Integrated Simulation and Optimization of Steam Chamber Growth and Propagation Dynamics during Hybrid Solvent-Enhanced SAGD Processes with Large-Scale Physical Experiments

A series of pressure-volume-temperature (PVT) tests and large-scale physical experiments of the hybrid solvent-enhanced SAGD process will be carried out and simulated to better understand the process physics and bitumen recovery mechanisms, which will help Imperial make reliable predictions with the upscaling potential for quickly commercial field applications. This project will be conducted both in Imperial and University of Regina, with the aim to provide a solid foundation for Imperial to design, simulate, and optimize the hybrid solvent-enhanced SAGD process, and finally make commercial profit.

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Faculty Supervisor:

Daoyong Tony Yang

Student:

Partner:

Imperial Oil Resources Ltd

Discipline:

Engineering

Sector:

Mining

University:

University of Regina

Program:

Accelerate

AI-based virtual assistant and fraud detection for the insurance industry

The insurance industry is a competitive sector that is expected to account for 3.1 percent of Canada’s
Gross Domestic Product in 2021. Leading insurers are investigating how machine learning (ML) may
enhance company operations and customer satisfaction as clients become more selective about
personalizing their insurance purchases to their particular needs. AI chatbots have the potential to
significantly improve consumer satisfaction. Their primary goal is to assist consumers by answering
questions. Chatbots may communicate with multiple users simultaneously and provide information
within seconds. As a result, they are now widely used to enable companies and customers to
communicate on websites and mobile messaging applications. In this project, we will develop an AIbased
chatbot that will provide assistant, support and chatting services to potential customers.
Furthermore, Fraud is one of the most significant and well-known issues confronting insurers. For
each insurer, fraudulent claims may be quite costly. As a result, it’s critical to understand which claims
are fraudulent and which are not. To determine which claims are likely to be fraudulent in this project,
we will use machine learning models. It would aid in the identification of suspicious claims for further
investigation.

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Faculty Supervisor:

Nashid Shahriar;Kin-Choong Yow

Student:

Partner:

BlueCouch AI Inc.

Discipline:

Computer science

Sector:

Finance and Insurance

University:

University of Regina

Program:

Accelerate

Development of passive sampling devices for natural and artificial radionuclides in the context of pre- and post-deployment of small nuclear reactors in remote areas

Small nuclear reactors (SMRs) are a major option for electricity production in remote areas. Environmental impact assessment and monitoring will be needed, however this might be difficult because of the remoteness and the anticipated low levels of radiocontaminants, especially that laboratories with modern instrumentation might not be available on-site. We are proposing (1) to adapt and replace our current classic methods with new and modern technology, for monitoring radioactivity at natural levels; (2) to develop and test small samplers that are easily deployable and rugged to withstand harsh cold conditions; and (3) to improve our detection limits and quality assurance, along with data security. At the outcome, this project will deliver a new rugged monitoring method to analyze for radiocontaminants, with modern instrumentation. The personnel will be trained with enhanced quality assurance credentials, who can be specialists for independent verification, at arm’s length from an SMR operator.

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Faculty Supervisor:

Graeme Spiers;François Caron

Student:

Partner:

Testmark Laboratories Ltd

Discipline:

Earth science

Sector:

Professional, scientific and technical services

University:

Laurentian University

Program:

Accelerate

Suivi de la distribution du saumon atlantique (Salmo salar) dans la rivière Jacques-Cartier par l’ADN environnemental

En se déplaçant, les animaux, et autres organismes vivants, laissent des traces de leur matériel génétique dans l’environnement. Cette précieuse information est l’ADN environnemental (ADNe) et son analyse permet de détecter indirectement la présence d’une espèce et d’estimer son abondance relative dans un milieu. Ce matériel génétique peut se retrouver sous forme de cellules mortes de la peau, de poils, d’excréments, d’urine, de salive, etc. Un des avantages de l’analyse de l’ADNe est que la récupération de ce dernier ne cause pas de stress ou de dommages aux espèces ainsi qu’à leur habitat. Par exemple, une simple quantité d’eau prélevée d’un lac peut renseigner sur la présence d’espèces animales à risque, invasives, nuisibles et culturellement et économiquement importantes. La Corporation du Bassin de la Jacques-Cartier (CBJC) est d’ailleurs très intéressée par la distribution du saumon atlantique dans la rivière Jacques-Cartier. Le projet mis de l’avant permettra le développement d’outils moléculaires standardisés pour l’analyse de l’ADNe du saumon atlantique. En ayant accès à ces derniers, la CBJC pourra ainsi obtenir un portrait précis de la distribution du saumon atlantique dans la rivière Jacques-Cartier.

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Faculty Supervisor:

Valerie Langlois

Student:

Partner:

Corporation du bassin de la Jacques-Cartier

Discipline:

Earth science

Sector:

Water; Natural Resources; Environmental Science and Technology

University:

Université du Québec : Institut national de la recherche scientifique

Program:

Accelerate

Methodes modernes en optimisation deterministe appliquee aux modeles parametriques utilises par Hydro-Quebec en prevision de la demande

Le projet vise a moderniser et ameliorer les outils numeriques utilises par Hydro-Quebec pour prevoir la demande
en electricite au Quebec et mettre en ceuvre des strategies d’autocorrection. Les developpements attendus permettront
d’augmenter la capacite de maintenance et d’amelioration de ces outils par Hydro-Quebec, et de les
rendre plus efficaces. Hydro-Quebec sera ainsi plus à meme de faire face aux changements dans la consommation
d’electricite au Quebec et à ses frontieres, dus aux changements climatiques, economiques, et d’habitudes
de vie. De plus, le projet permettra de contribuer aux methodes de calibration de modeles sous contraintes, de
plus en plus presents en optimisation.

View Full Project Description
Faculty Supervisor:

Fabian Bastin

Student:

Partner:

Hydro-Quebec

Discipline:

Engineering

Sector:

Technology; Energy and Utilities; Green/Alternative Energy

University:

Université de Montréal

Program:

Accelerate

Developing a best practice model for mental health crisis care: A community engaged approach

When experiencing mental health crisis, many people rely on emergency services such as 9-1-1 dispatchers, paramedic services, police services and hospital emergency department services. Emergency response to mental health calls has recently gained significantly greater attention, recognizing that these interactions may have substantial, potentially life and death consequences for those already in distress, particularly for marginalized communities. Many first response services lack sufficient resources and have few options to offer when providing care. This project brings together community-based service providers and emergency care providers to develop a best practice model for response to mental health crisis care. Specifically, the student internship within this project will focus on analysis and synthesis of existing mental health program data from Middlesex-London Paramedic Service’s alternate destination program. These findings will support the ongoing work of the partner organization, contribute to manuscript preparation, and broadening the understanding of options for emergency mental health response in the larger Canadian community.

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Faculty Supervisor:

Polly Ford-Jones

Student:

Partner:

Mental Health Research Canada;Middlesex-London Paramedic Service

Discipline:

Sociology

Sector:

Other services (except public administration); Professional, scientific and technical services

University:

Humber Institute of Technology and Advanced Learning

Program:

Accelerate

Closed loop AI-controlled neural stimulation for treating chronic conditions

The overall objective of this project is to develop a medical device that stimulates the vagus nerve in order to modulate the heart in a pre-determined fashion (e.g., strategically speeding it up or slowing it down) without also triggering side effects in other body systems (such as respiration). The interns will be working in partnership with BIOS Health, the industry partner, to process raw signals from the vagus nerve and physiology data (heart rate, breathing rate, blood oxygen levels, blood pressure, others) that were recorded in parallel. The interns will be developing algorithms that can (a) differentiate cardiac signals in raw neural data from noise and other signals, and (b) optimize the stimulation patterns to affect cardiac function without also affecting breathing and other functions.

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Faculty Supervisor:

Guillaume Lajoie

Student:

Partner:

BIOS Health

Discipline:

Mathematics

Sector:

Professional, scientific and technical services

University:

Université de Montréal

Program:

Accelerate

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