Projets novateurs réalisés

Explorez des milliers de projets réussis issus de la collaboration entre organisations et talents postsecondaires.

30156 projets achevés

2861
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5059
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812
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673
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842
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8957
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9368
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96
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579
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1120
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Projets par catégorie

Récupération et valorisation des rejets d’imprimantes 3D en Estrie

Nous cherchons à donner une seconde vie à des rebuts d’impression qui n’en ont pas actuellement. Il est également prévu d’avoir développé des modèles d’affaires basés sur les pistes de valorisation qui pourraient générer des profits générés par la vente de produits. En théorie, la plupart des types de thermoplastiques peuvent être fondus et recyclés. Dans les faits, PLA et ABS ne sont pas recyclés par la plupart des programmes de recyclage municipaux. On ne peut donc pas jeter une impression 3D ratée dans la poubelle de recyclage, et le compostage du PLA demande des conditions très spécifiques. L’objectif de ce projet est de poser les bases d’un circuit estrien de récupération et de valorisation des plastiques liés à l’impression 3D afin de démontrer à échelle pilote le potentiel de récupération et de remise en valeur.

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Superviseur du corps professoral :

Valérie Grandbois;Olivier Robin

Étudiant :

Partenaire :

Sherbrooke Innopole

Discipline :

Engineering

Secteur :

Public administration

Université :

Université de Sherbrooke

Programme :

Accelerate

Inventory control of items with intermittent demand using reinforcement learning

At the Bombardier Aftermarket business unit, they’re innovating their approach to managing spare parts inventory for business aircrafts. Currently, keeping the right balance of stock is a challenge due to unpredictable demand patterns, often leading to shortages or overstocking. To tackle this, they are introducing a smart solution: using deep reinforcement learning (DRL), a type of artificial intelligence (AI), to refine their inventory strategies. This AI method will assist in better optimizing the timing and quantity for reorders. Initially, this project will focus on a selection of products that are particularly hard to manage due to their sporadic demand. By harnessing the power of DRL, they aim to enhance both service quality and customer satisfaction globally by ensuring timely availability of the necessary parts.

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Superviseur du corps professoral :

Martin Cousineau;Raf Jans;Yossiri Adulyasak

Étudiant :

Partenaire :

Bombardier Aerospace Inc (Dorval, QC)

Discipline :

Business

Secteur :

Manufacturing; Transportation and warehousing

Université :

HEC Montréal

Programme :

Accelerate

Estimation des précipitations maximales probables à partir de précipitations observées et simulées par un modèle de climat

Les ingénieurs utilisent les précipitations maximales probables (PMP) pour concevoir des infrastructures résistantes aux aléas hydrométéorologiques. La PMP est définie par l’Organisation Mondiale Météorologique (OMM) comme la quantité maximale d’eau pouvant s’accumuler en une période donnée dans une région, indépendamment des tendances climatiques à long terme. Une mauvaise estimation de la PMP peut entraîner des coûts excessifs ou des risques pour les populations et la production d’énergie locale.
Au Québec, la PMP est calculée en maximisant le taux de précipitation de la colonne d’air par la quantité maximale d’humidité qu’elle peut contenir. Cependant, cette méthode présente des limites, notamment l’absence de mesure directe de l’eau précipitable et une hypothèse de linéarité entre humidité et précipitations qui ne correspond pas toujours à la réalité.
Dans ce projet, une nouvelle définition de la PMP sera proposée, prenant en compte les réalités observées au Québec et les avancées récentes. Des données de simulations climatiques seront utilisées pour affiner ces définitions et améliorer les estimations de la PMP. L’objectif est de mieux anticiper et gérer les risques liés aux précipitations extrêmes, en tenant compte des évolutions climatiques et des caractéristiques spécifiques de la région.

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Superviseur du corps professoral :

Jonathan Jalbert

Étudiant :

Partenaire :

Hydro-Quebec

Discipline :

Mathematics

Secteur :

Environmental Science and Technology; Water; Sustainability & the Environment; Artificial Intelligence

Université :

Polytechnique Montréal

Programme :

Accelerate

Recherche de l’influence des paramètres de fabrication sur la performance lors du cyclage thermique des barres d’alternateurs hydrauliques

La durée de vie des équipements haute tension, comme les alternateurs de puissance, est généralement limitée par celle de son système d’isolation. Le revêtement isolant utilisé pour les barres en cuivre représente l’élément de ces machines dont la résistance thermique et mécanique est la plus faible. En plus, les matériaux impliqués dans la conception de ces systèmes d’isolation, doivent supporter des champs électriques élevées aussi que d’autres contraintes électriques (décharges partielles, etc.) et thermomécaniques (vibrations des barres, cycles arrêt/démarrage). D’autre part une défaillance de ce système d’isolation entraîne un arrêt complet de fonctionnement de l’appareillage concerné qui peut aller jusqu’à sa destruction. Il est donc essentiel pour les gestionnaires de parcs d’alternateurs hydrauliques de s’assurer de la fiabilité et du bon fonctionnement du système d’isolation statorique des grandes machines tournantes. Ce souci des gestionnaires des parcs d’alternateurs quant aux performances électriques et thermomécaniques des systèmes d’isolation se transmet aux fabricants d’équipement qui doivent rencontrer des spécifications bien précises et souvent assez sévères comme par exemple de soumettre leurs produits à des essais de cyclage thermique afin de valider la qualité de leur produits

Voir la description complète du projet
Superviseur du corps professoral :

Eric David

Étudiant :

Partenaire :

GE Renewable Energy

Discipline :

Engineering

Secteur :

Manufacturing; Other services (except public administration); Utilities

Université :

École de technologie supérieure

Programme :

Accelerate

SSE_SAVOIE MICHELLE- SORINTELLIS-Célia Thouin

The high attrition rates in clinical drug development and more especially in the late-stages drug clinical development is among the major challenges facing the pharmaceutical industry since failures in late-stage of clinical development are the costliest. The multitude of risks inherent in clinical drug development makes Go/No- Go decisions even more complex for pharmaceutical portfolio managers. Bode Greuel defines portfolio management as the process of maximizing the value of R&D portfolios through the appropriate allocation of resources, requiring alignment of portfolio management with the company’s strategic objectives. In the pharmaceutical industry, this value maximization concerns both therapeutic and commercial value, to sustain the innovative pharmaceutical company’s business model. However, many authors have pointed to a productivity crisis in the R&D pharmaceutical pipeline which the most visible symptoms are the fall in the number of new molecular entities (NMEs) versus an ever-increasing rise in R&D expenditures. Moreover, in a dynamic where few approved and marketed drugs generate revenues greater than or equal to the R&D expenditures that led to their development, it has therefore become essential for pharmaceutical portfolio managers to find new, effective approaches to better decision-making. Artificial intelligence, through its computing power, the availability of massive data and major advances in the development of algorithms, offers opportunities theses complex decision- making processes. The aim of this project is to review traditional approaches to pharmaceutical portfolio management, challenges and present the prospects in the age of artificial intelligence.

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Superviseur du corps professoral :

Michelle Savoie

Étudiant :

Partenaire :

Sorintellis

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

Université de Montréal

Programme :

Business Strategy Internship

L2M Novel Treatment for Interstitial Cystitis

Interstitial cystitis is a life-long condition that causes pain and pressure in the bladder. It is not clear how this condition is caused; however, we know that it involves increased bladder inflammation. Currently available treatments for interstitial cystitis do not work for everyone and often stop working after a few years. We are developing a treatment for this condition that decreases pain and inflammation. We hope to bring to the consumer market, but before we do, we need to complete additional investigations into how our treatment works to decrease inflammation. After we are sure that the treatment is effective, we will need to determine the steps needed to bring this new treatment to people with interstitial cystitis. This project will help patients with interstitial cystitis manage their symptoms and allow our partner organization to mobilize Canadian research to the medical market.

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Superviseur du corps professoral :

Christian Lehmann

Étudiant :

Partenaire :

Springboard Atlantic Inc.

Discipline :

Life Sciences

Secteur :

Pharmaceuticals; Biotechnology; Nanotechnology

Université :

Dalhousie University

Programme :

Business Strategy Internship

Digital Communications Strategy Development & Implementation

Tutor Teach has faced rapid growth since inception in 2020. This extraordinary growth has lead us to re-evaluate areas for improvement and growth which is how this internship was developed. The intern will have a multifaceted role which will improve Tutor Teach’s digital communications, online presence, and marketing strategies. Tutor Teach requires a strong SEO plan to increase website traffic and align it with our social media efforts. Additionally, Tutor Teach is seeking to develop a forward-thinking digital marketing plan to target specific audiences and regions. Standard Operating Procedures (SOPs) are needed for future consistency, and an intern will conduct assessments to propose sustainable scalability solutions. The role includes a large journalistic component in order to develop new initiatives. These initiatives include the research, development and execution of a branded podcast to reach a large range of audiences nationwide. Additionally, the intern will work towards bolstering Tutor Teach’s media relations initiatives while to create buzz around Tutor Teach’s programming and services as a lead-generation strategy. The intern will be able to grow in confidence and skills, starting their career off with tools and initiatives that will give them real-world experience. Tutor Teach’s growth is promising, but marketing gaps persist, and they serve both students/families and teachers. A Digital Communications intern will help address these issues and gain valuable skills. This project benefits Tutor Teach by enhancing our digital marketing and long-term scalability.

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Superviseur du corps professoral :

Neill Fitzpatrick

Étudiant :

Partenaire :

Tutor Teach Inc

Discipline :

Business

Secteur :

Education

Université :

MacEwan University

Programme :

Business Strategy Internship

Strategic Entry Into Brazil Market

Glo3D, a Media and Content Marketing software provider, is launching a 12-month internship project to strategically enter the Brazilian automotive market. The project focuses on customizing their software for Portuguese-speaking clients, tailoring content generation to the Brazilian market, and enhancing customer success and upselling efforts. By delivering a customized system, culturally relevant content, and strategic customer support, Glo3D aims to drive growth. This initiative has broader implications, contributing to Canada’s economic expansion, global reputation, technology exports, skill development, and industry advancement. It embodies Canada’s spirit of innovation and international outreach, positioning the country as a leading player in the global tech industry.

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Superviseur du corps professoral :

John Peco

Étudiant :

Partenaire :

Glo3D Inc.

Discipline :

Business

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

George Brown College of Applied Arts and Technology

Programme :

Business Strategy Internship

Design and implementation of a smart hybrid wireless power transfer system

The system mainly relies on the power transfer in a wireless manner. It means no wire is required for charging the objects like cellphone, laptops, etc. anymore. Given that the partner focus is mainly on the wireless power transfer and that the proposed system can transfer the power in a wireless domain, the partner can benefit from the project.

Voir la description complète du projet
Superviseur du corps professoral :

Shahriar Mirabbasi

Étudiant :

Partenaire :

Daanaa

Discipline :

Engineering

Secteur :

Manufacturing; Professional, scientific and technical services; Utilities

Université :

The University of British Columbia

Programme :

Elevate

Creating an anticipatory data ethics protocol for emerging nature-based solutions

Ethical data governance practices continue to shift with the emergence of digital technologies like blockchain and artificial intelligence. As these technologies begin to integrate more with climate and nature-based solutions, unique implications appear around data collection, handling, and use. Established concerns about privacy, consent, and data transparency present themselves, along with new considerations where information about people and environments come together. Veritree is collaborating with the University of Guelph to review current and future environmental technology trends, and to create an anticipatory data ethics protocol for the nature-based solutions Veritree provides. Veritree will use the review and ethics protocol to support their data pratices, to keep pace with shifting ethical considerations in the industry, and to contribute to global, data-driven efforts that address climate change and environmental conservation.

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Superviseur du corps professoral :

Eric Nost

Étudiant :

Partenaire :

Veritree

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

University of Guelph

Programme :

Business Strategy Internship

Barriers and Facilitators to the Integration of Mental Health Servicesin Primary Care in Vietnam from the Perspective of Health Workers: Individual,Organizational and Structural Factors”

Access to appropriate mental health services is critically limited for many people living in low and middle-income countries. Making services for depression available in primary health care increases the successful diagnosis and treatment of depression and improves the quality of people’s lives. As the first point of contact with patients, primary care workers are essential to the successful delivery of depression care. Many factors, such as health worker attitudes about mental illness, their workload, and competing priorities may impact their ability to successfully provide mental health services. This study will examine factors that influence the successful integration of services for depression in primary care in Hanoi, Vietnam to understand how to design effective interventions for health workers to improve their capacity to provide care for depression. The results may be used when planning for the integration of depression services in primary care in Vietnam and in other countries.

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Superviseur du corps professoral :

Kitty Corbett

Étudiant :

Partenaire :

Hanoi School of Public Health

Discipline :

Life Sciences

Secteur :

Education

Université :

Simon Fraser University

Programme :

Globalink Research Award

An automated system for personalized nutrition via 3D food printing

This project presents an innovative approach to personalized nutrition using 3D food printing technology. It comprises two key components. Firstly, a decision-support system is designed to evaluate the feasibility of turning a 3D food design into a tangible, edible product. This system helps ensure that the food is not only nutritious but also practical to create with the 3D printer. Secondly, a user-friendly algorithm is developed to offer customized dietary recommendations after users input their personal data. By considering factors like individual health goals, dietary restrictions, and preferences, this algorithm generates tailored nutritional plans, making it easier for individuals to maintain a balanced and personalized diet.

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Superviseur du corps professoral :

Rafiq Ahmad

Étudiant :

Partenaire :

North Forge

Discipline :

Engineering

Secteur :

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

Université :

University of Alberta

Programme :

Accelerate