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

Multifonctionnalité de l’agriculture dans la MRC de Maria-Chapdelaine

La MRC-MC, dans la région du Saguenay–Lac-Saint-Jean, est en pleine transition, comme de nombreuses autres collectivités rurales du Québec. L’agriculture, qui est une des principales activités économiques et au cœur du développement du milieu est confrontée à des défis et des tensions entre la nécessité de produire et celle de s’adapter aux limites de son modèle issu des années 1950. Afin de mieux saisir ces transitions, nous proposons de réaliser une recherche qui identifiera les multiples fonctions de l’agriculture locale sur les plans sociaux, économiques, environnementaux et culturels. Pour ce faire, nous réaliserons une revue documentaire sur le milieu, des entretiens de recherches (individuels et de groupe) avec les principaux acteurs du secteur agroalimentaire local (agriculteurs/producteurs, consommateurs/mangeurs, acteurs territoriaux) et nous réaliserons des séances d’observation participantes lors d’évènements liés à l’agriculture et d’expérimentation de dialogue. À terme, ces informations permettront à la MRC de mieux positionner son plan de développement de ses activités agricoles (PDAA) et ainsi mieux arrimer les politiques et décisions aux valeurs et besoins locaux en matière d’agriculture.

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Faculty Supervisor:

Sabrina Tremblay;Olivier Riffon;Suzanne Tremblay

Student:

Partner:

Municipalité régionale de comté de Maria-Chapdelaine

Discipline:

Sociology

Sector:

Public administration

University:

Université du Québec à Chicoutimi

Program:

Accelerate

Effect of protein source during ketogenic weight loss intervention on lipid metabolism and inflammation

Safe and healthy weight loss is becoming increasingly important as the obesity burden in Canada continues to grow, with 63.1% of adult Canadians classified as overweight or obese in 2018 according to Statistics Canada. Ketogenic diets are diets that are low in sugar and are very popular for weight loss. However, these diets may be associated with adverse long-term cardiovascular health outcomes depending on the source of protein supplementation (animal versus plant-based). We do not know why this is the case. The objective of this study is to investigate how fat and inflammation are affected during a plant- or animal-based ketogenic diet weight loss intervention. We will measure how much weight is lost, what happens to body fat and blood risk factors when participants lose weight with a ketogenic diet that has plant or animal-based proteins. This study will allow us to examine the effect of protein source on health risk factors in the context of a ketogenic diet. Doing so will enable NFH to design of better protein supplements to support better health and well-being.

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Faculty Supervisor:

Sylvia Santosa;Dajana Vuckovic

Student:

Partner:

Nutritional Fundamentals for Health

Discipline:

Life Sciences

Sector:

Manufacturing

University:

Concordia University

Program:

Accelerate

Assessment of Variable Rate Irrigation System for Optimized Water Productivity

Climate change, extreme weather events, and irregular rainfall patterns have made it inevitable to supplement irrigation needs in rainfed regions such as Prince Edward Island (PEI). This study aims to develop variable rate irrigation (VRI) system to supplement crop water requirements on a need basis for crops in PEI. This project will develop, implement, and assess the VRI technology in water-stressed areas to optimize water resource allocation with site-specific irrigation. In the first phase of this project, VRI maps will be delineated using soil moisture probes and Soil Water and Topography (SWAT) tool developed by Croptimistic Technology Inc., Naicam, SK, Canada. Central pivot irrigation system equipped with variable rate irrigation controllers will then use VRI maps to optimize water use efficiency. This project strives to develop sustainable irrigation strategies for the agriculture production system to optimize irrigation efficiency.

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Faculty Supervisor:

Aitazaz Farooque

Student:

Partner:

Croptimistic Technology Inc

Discipline:

Engineering

Sector:

Agriculture; Professional, scientific and technical services

University:

University of Prince Edward Island

Program:

Accelerate

Synthesis of Alkynamides From Carbamoyl Fluorides Through Metal-Free Fluoride Catalysis

Alkynamides are very promising inhibitors of tyrosine kinases, important enzymes that can cause cancer when being too active in cells due to different mutations. While being important moieties, until recently there was no convenient method to synthesize them using carbamoyl fluorides — most protocols use either dangerous or expensive and ecologically unfriendly reagents, which always have an impact on the final product price and also makes these reactions not suitable to use in large-scale synthesis. This research will expand the application of a recently discovered by our group reaction, which allows us to synthesize corresponding compounds using easy-accessible carbamoyl fluorides and trimethylsilyl-alkynes in the presence of TBAF (tetrabutylammonium fluoride). That makes this reaction atom-economical, easy to handle, relatively cheap, and ecologically friendly.
The success of this project will give us a new powerful tool in organic chemistry, that will provide new convenient ways to synthesize alkynamides. It will also increase their availability to medicinal chemistry, which in turn can have a positive impact on the future development of new anti-cancer drugs.

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Faculty Supervisor:

Christine Le

Student:

Partner:

Taras Shevchenko National University of Kyiv

Discipline:

Life Sciences

Sector:

Life Sciences (not health); Pharmaceuticals; Health and Related Sciences & Technology

University:

York University

Program:

Globalink Research Award

Deep Learning for Mud Pulser Communications

Mud pulse telemetry is a widely used technology for measurement-while-drilling (MWD) in the oil and gas sector. MPT signals are used in real-time drilling application to provide insight about the pressure, temperature, drill bit direction and deviation, and transmit logging data about the surroundings to improve the reservoir drilling economic efficiency. It transmits signals using the communication channel (drilling fluid column of mud) running between the drill pipe downhole and the receiver at the surface. As mud pulse signals are a physical phenomenon, there requires extensive research on the interference and channel modeling to achieve good communication performance. This project proposes a data driven approach for mud pulse communications to develop channel model and interference mitigation using deep learning. The developed techniques will be validated using the experimental facilities of the industrial partner.

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Faculty Supervisor:

Henry Leung

Student:

Partner:

Quantum Energy Technologies

Discipline:

Engineering

Sector:

Mining

University:

University of Calgary

Program:

Accelerate

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

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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.