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

Scaling-up carbon fibre production from Alberta’s asphaltenes.

The proposed research project would focus on the development of high-value carbon fibers from low-value waste by-products, asphaltenes, for multifunctional applications. One part of the program would highlight the efforts to scale up the technology without deteriorating the process performance. The other part of the program would focus on working with North Forge in the L2M program to strengthen the customer discovery, product market fit, and the development of a minimum viable product (MVP) for our technology. We anticipate positive outcomes from this project under L2M program such as development of direct relationships with customers and finalizing the product validation for multiple applications.

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Faculty Supervisor:

Md Golam Kibria

Student:

Partner:

North Forge

Discipline:

Engineering

Sector:

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

University:

University of Calgary

Program:

Accelerate

Méthodes alternatives pour mesurer le potentiel matriciel du sol.

L’entreprise Hortau a mis au point une nouvelle technologie mesurant directement le potentiel matriciel du sol sur une plage étendue allant jusqu’à -1000 kPa. Cette technologie a permis de caractériser de nombreux phénomènes en physique et hydrodynamique qui n’avaient encore jamais été observés. En testant différentes approches pour mesurer la tension du sol, l’objectif du projet est de rendre la technologie encore plus abordable en plus d’améliorer la qualité générale de la mesure de la tension du sol au champ. Cela permettra à de nombreux producteurs agricoles et conseillers d’améliorer encore davantage leur gestion de l’irrigation grâce à une sonde qui permettra d’avoir un regard encore plus juste du statut hydrique du sol en temps réel.

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Faculty Supervisor:

Benoit Gosselin

Student:

Partner:

Hortau Inc

Discipline:

Engineering

Sector:

Agriculture

University:

Université Laval

Program:

Accelerate

Machine Learning Models Explanation Techniques and their Applications in Business

In practical machine learning problems, it is important to understand impact of features on models’ predictions. Such an understanding helps not only better explain the black-box machine learning models but also enables their effective applications in business environment. The general model explanation approaches make an untenable assumption that the model’s features are uncorrelated, which can lead to incorrect or unintelligible explanations. Explanations that consider features’ correlations can help discover their true associations with model predictions, thus they can be more realistically applied in business analysis to questions such as: dimensionality reduction, model performance evaluation metrics and analysis of model drift over time. Since it is computationally challenging to obtain black-box model explanations, this research will also focus on developing efficient computational algorithms.

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Faculty Supervisor:

Yong Zeng

Student:

Partner:

Daesys Inc.

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Concordia University

Program:

Accelerate

Étude de flux de patients dans un hôpital

Durant ce stage, l’objectif est d’étudier le flux de patients entre les urgences et l’hôpital. Nous allons présenter un modèle de simulation afin d’analyser le parcours des patients dans les urgences, entre les urgences et l’admission et les urgences et le congé. Nous visons d’identifier les causes des problèmes de congestion dans les urgences retardant l’admission à l’hôpital. Nous utiliserons plusieurs plans d’expériences afin de tester les variations de capacité des unités médicales en tenant compte des données réelles et de l’expertise des praticiens. Notre collaborateur à Milan est un spécialiste du process mining (PM) et nous profiterons de cette collaboration pour développer nos connaissances.
Ainsi:
• Sous-objectif 1 : Analyse du flux de patients à l’hôpital. Déploiement de la technique PM pour découvrir, analyser et prévoir les processus réels (de facto) du système hospitalier d’étude.
• Sous-objectif 2 : Simulation du flux de patients à l’hôpital. Construction du modèle de simulation à l’aide des techniques DES et du support des résultats du PM.

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Faculty Supervisor:

Nadia Lahrichi

Student:

Partner:

Politecnico di Milano

Discipline:

Engineering

Sector:

Education

University:

Polytechnique Montréal

Program:

Globalink Research Award

High throughput microscopy screening to identify holdfast mutants in Caulobacter crescentus

One major challenge in studying holdfast bioadhesive properties is that cells synthesize only a very small quantity of holdfast at one pole of the cell. Therefore, all studies of holdfast bioadhesive properties have been conducted by atomic force microscopy (AFM). While AFM is a powerful technique, any development of holdfast for practical applications will require the production of large quantities of holdfast. The main goal of this project is to increase the quantity of holdfast produced in order to produce enough material for analysis of holdfast properties and testing its potential for real-world applications. Because the holdfast is a complex material, the best strategy is to increase its production directly in Caulobacter and Hirschia. This will be accomplished by microscopy screening of random mutants in both species. The Brun lab has developed a high throughput microscopy screening platform that enables the automated screening of thousands of mutants per day followed by artificial intelligence (AI)-driven image analysis. This method allows the screening of the large number of random mutants required to identify thew desired ones.

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Faculty Supervisor:

Yves Brun

Student:

Partner:

University of Namur

Discipline:

Life Sciences

Sector:

Life Sciences (not health); Biotechnology; Artificial Intelligence

University:

Université de Montréal

Program:

Globalink Research Award

Modélisation de l’efficacité des cellules CAR-NK pour traiter les leucémies pédiatriques

La leucémie est le cancer le plus commun chez l’enfant. Elle est déclenchée par des abbérations génétiques dans des cellules très productives dans le système hématopoïétique; ainsi, ces mutations causent une accumulation de globules blancs immatures dans le sang et les tissus. De nouveaux traitements immunothérapeutiques sont sous étude pour remplacer la chimiothérapie cytotoxique. Un de ces traitements, la greffe par cellules CAR-NK, promet d’améliorer le sort des enfants touchés par la leucémie. Néanmoins, ce traitement ne s’est pas encore rendu en clinique. Par la modélisation mathématique, on propose d’accélerer la transition pré-clinique en étudiant les mécanismes régulant la réponse thérapeutique pour établir des régimes thérapeutiques.

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Faculty Supervisor:

Morgan Craig

Student:

Partner:

Aix-Marseille Université

Discipline:

Mathematics

Sector:

Education

University:

Université de Montréal

Program:

Globalink Research Award

Programmable Forwarding Plane

In recent years, the rise of ultrabooks and mobile devices has been accompanied by an ever-increasing need for reliable high-bandwidth wireless communications. Their widespread use, combined with the industry’s move to virtualized cloud services, has put additional pressure on the Internet’s back-end infrastructure. Moreover, this increased load has coincided with a progressive shift in use-cases, as customers expect dependable and secure low-latency Voice-over-Internet-Protocol (VoIP) communications, fast software downloads and an almost instantaneous streaming of content. Ericsson is a world-leading provider of telecommunications equipment and services to mobile and fixed network operators: more than forty percent of the world’s mobile traffic passes through Ericsson networks. The purpose of this postdoctoral project is to research and develop methods for improving the performance and flexibility of next-generation Internet back-end routers and switches, ensuring that they meet the networking requirements of the future.

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Faculty Supervisor:

Samar Abdi

Student:

Partner:

Ericsson Canada Inc (Montreal, QC);Ericsson Canada Inc (Quebec)

Discipline:

Engineering

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

Concordia University

Program:

Accelerate

Development of Spent Coffee Grounds as a Bioactive Food Ingredient using Biological Methods

Spent Coffee Grounds (SCGs) are a waste stream that has the potential to produce value-added and upcycled food ingredients as it contains many nutritionally valuable components. This project will investigate biological methods using enzymes and fermentation for the conversion of SCGs, a poorly digestible food waste, into a more digestible and palatable form. The processed SCGs will be characterized and those that show the most promising results will undergo sensory analysis. Rfine, the partner organization, will benefit from the development of bio-based technologies for the conversion of SCGs into food ingredients suitable for commercial applications.

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Faculty Supervisor:

Su-Ling Brooks;Vasantha Rupasinghe;Vasantha Rupasinghe;Su-Ling Brooks

Student:

Partner:

RFINE Biomass Solutions Inc.

Discipline:

Engineering

Sector:

Manufacturing

University:

Dalhousie University

Program:

Accelerate

Complex Network Data Analysis for Systemic Risk Management and Loss Prevention

Financial fraud is a very serious problem plaguing financial institutions. Recent advances in information technology have only exacerbated this problem. Poor risk models were at the core of the 2008 financial crisis. Complex networks, structured graphs, are powerful models for representing higher-order interactions or dependencies within data sets. Graphs are relational models of covariates, where nodes represent variables and arcs their connections (relationships). Based on our previous theoretical work in the field, we aim to apply complex network (graph) techniques to the area of fraud prevention and risk management. The end goal of this project will be to develop a portfolio of analytical tools to reduce financial losses due to fraud, credit defaults and market fluctuations.

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Faculty Supervisor:

Yuri Lawryshyn;Cristian Bravo Roman

Student:

Partner:

Royal Bank of Canada

Discipline:

Mathematics

Sector:

Finance and Insurance

University:

University of Toronto

Program:

Accelerate

3D Printing Affordable Housing for Remote Communities in Canada

Rural homelessness in Canada is still an ongoing problem that the country is trying to address. Most of Canada’s indigenous families in remote communities are living in substandard housing that needs major repairs. 3D printing of cementitious material to digitally construct building structures has already gained considerable attention from both the public and private sectors. Because this technology allows rapid construction, reduced cost, and labor, minimal construction wastes, and offers architectural freedom through seamless design modification. So, not only turning wood-waste into value added carbon-neutral building material is envisioned in this project but also using 3D printing technology makes it a potential solution for the Canadian remote communities where the traditional construction supply chain fails to address even increasing housing demand.

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Faculty Supervisor:

Mohammad Abu Hasan Khondoker

Student:

Partner:

North Forge

Discipline:

Engineering

Sector:

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

University:

University of Regina

Program:

Accelerate

Développement et déploiement d’un projet d’innovation mobilisateur pour soutenir la réduction de la consommation énergétique dans les immeubles à loyer modique

L’Office municipal d’habitation de Trois-Rivières (OMHTR) propose depuis plusieurs années des logements à prix modique pour les personnes ayant un faible revenu. Un défi se pose quant à la proposition de loyers abordables dans une perspective de développement durable. Comme les résidents n’ont pas accès aux informations liées à leur niveau de consommation, il s’agit d’identifier des incitatifs favorisant l’adoption de nouveaux comportements de consommation. L’OMHTR et Hydro-Québec travailleront en collaboration dans le cadre de cette étude. Globalement, le projet vise à impliquer les résidents dans un projet mobilisateur en vue de diminuer leur consommation énergique en développant et déployant des stratégies adaptées à leurs réalités. Dans une optique de développement durable inclusif, les retombées escomptées sont l’adoption de comportements responsables en vue d’identifier des solutions environnementales visant la réduction de la consommation énergétique et de développer un capital humain favorisant la croissance du plein potentiel et du pouvoir d’agir.

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Faculty Supervisor:

François Guillemette;Kodjo Agbossou;Kodjo Agbossou;François Guillemette

Student:

Partner:

Société trifluvienne de l'Habitat;Institut de Recherche Hydro-Quebec - Laboratoire des Technologies de l'Énergie;Office d'habitation municipal de Trois-Rivières

Discipline:

Engineering

Sector:

Health and Related Sciences & Technology

University:

Université du Québec à Trois-Rivières

Program:

Accelerate

Molecular mechanisms of nuclear reformation after mitosis

The project aims to understand the molecular mechanisms by which the Ankle2 protein functions to allow nuclear reformation after mitosis. This process is frequently disrupted in cancer cells, which induces an innate immune response that could be exploited in therapies. A multidisciplinary approach in the Drosophila model will be used.

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Faculty Supervisor:

Vincent Archambault

Student:

Partner:

École Normale Supérieure de Paris-Saclay

Discipline:

Life Sciences

Sector:

Education

University:

Université de Montréal

Program:

Globalink Research Award

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