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
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825
SK
8841
ON
9197
QC
95
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568
NB
1088
NS

Projects by Category

Management of Powdery Scab of Potato in Alberta

In 2022, the potato industry contributed $2.87B to the Canadian economy and $2.31B to the Alberta economy. Powdery scab has been present in Alberta for decades but because of no above-ground symptoms it has been ignored and no registered products are available to mitigate it. Syngenta suspectsthat the pathogen’s population levels are increasing because of no available treatment. They also need a site with disease which is not possible in Guelph, so they need to have trials in Alberta. The main benefit to the partner organization is that arm’s length research trials are required to expand label uses of fungicide products. In addition, Syngenta has research personnel in Guelph, but not in Alberta and data from Alberta sites are required for product registration. The intern can provide support for the field research while learning about powdery scab in Alberta.

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Faculty Supervisor:

Dmytro Yevtushenko

Student:

Partner:

Syngenta Canada Inc.

Discipline:

Life Sciences

Sector:

Agriculture; Professional, scientific and technical services

University:

University of Lethbridge

Program:

Accelerate

High-speed assessment of bread quality through optimal non-contact methods

Being a bio-process, the quality of yeast-fermented bread is highly dependent on several factors such as temperature, static time, and humidity as well as on the type of flour. As such an active control/feedback strategy is often needed to monitor and optimize the baking process. Many studies have focused on post-baking the assessment of the breads using food’s color and other optical testing to implement a closed feedback control. Other studies have evaluated the height and slope of the bread to infer quality. Quality in food in general, and bread-making in particular is often judged subjectively by humans. As such machine learning methods are increasingly applied to quality inspection of food. There are several versatile machine learning tools such as k-nearest neighbor (KNN), neural networks, support vector machine (SVM), and artificial neural network (ANN).
Silver Hills Bakery is looking to significantly expand and scale up production. The current method of manual inspection and evaluation would not be sufficient for the expected increase in production. To this end, the project will develop an optimal non-contact methodology for estimating bread quality for controlling baking parameters

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Faculty Supervisor:

Krishna Vijayaraghavan

Student:

Partner:

Silver Hills Bakery

Discipline:

Engineering

Sector:

Manufacturing

University:

Simon Fraser University

Program:

Accelerate

Current and Potential Uses of Transformative Technologies in Military Culture Change

THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW

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Faculty Supervisor:

Jennifer Welsh

Student:

Partner:

Centre for International Governance Innovation

Discipline:

Sociology

Sector:

Education; Professional, scientific and technical services

University:

McGill University

Program:

Accelerate

Stage de recherche TUW

Notre projet vise à développer un mécanisme formel d’aide à la décision, permettant aux développeurs de systèmes informatiques d’optimiser la stabilité de leurs systèmes en considérant leur durabilité économique et environnementale. Ce mécanisme se basera sur les objectives de stabilité des systèmes, les composantes disponibles pour réutilisation et le contexte de développement. Cela permettra d’améliorer les pratiques de conception tout en s’adaptant aux différents contextes organisationnels, résultant en de systèmes logiciels fiables et robustes, impactant positivement les utilisateurs finaux de ces systèmes.

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Faculty Supervisor:

Mehdi Adda

Student:

Partner:

Technische Universität Wien

Discipline:

Computer science

Sector:

Information and Communications Technology; Sustainability & the Environment

University:

Université du Québec à Rimouski

Program:

Globalink Research Award

Efficient Parsing Technique for Console Logs

Software systems produce large amount of logs of different types. Event logs and system traces have been the focus of many research for their information content and often machine friendly format; but another type of logs often overlooked are console logs. Parsing console logs presents two main challenges: their formatting is inconsistent and they contains large amount of noise. We propose to research efficient and practical techniques to tackle these challenges.

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Faculty Supervisor:

Weiyi Shang

Student:

Partner:

Kyushu University

Discipline:

Computer science

Sector:

Education

University:

University of Waterloo

Program:

Globalink Research Award

An investigation on software quality measurement

The TEC Company has a complete list of vendors and software products. On the other side, the software buyers have their own functional and technical requirements. The TEC’s product list empowers the software buyers to employ the TEC’s software selection methodology in order to find the product which is properly matched with their requirements. The TEC’s methodology considers several functional attributes for each software product. However considering the Quality properties from software engineering point of view will make the outcome of TEC’s methodology more reliable. In this project we try to develop a quality model and then measure the quality factors for a set of software products which are listed in TEC’s products’ list. The outcome of this project are expected to resulted in developing original and significant quality models and measurement methods as well as enriching the TEC’s software selection methodology.

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Faculty Supervisor:

Pierre Robillard

Student:

Partner:

Technology Evaluation Centers Inc

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

École Polytechnique de Montréal

Program:

Accelerate

Enhancing Air Traffic Control Communication: Integrating AI and Visual Aids to Improve Pilot Performance and Safety

This project aims to improve communication between pilots and air traffic control (ATC) by integrating artificial intelligence (AI) and visual aids with traditional voice communication. By using AI to generate real-time visual cues (like text and icons), we hope to reduce misunderstandings and improve situational awareness for pilots. This will help make flying safer and more efficient. The project will benefit the participating institutions by advancing research in AI and communication technologies, enhancing pilot training programs, and fostering international collaboration.

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Faculty Supervisor:

Jian Zhao

Student:

Partner:

Karlsruher Institut für Technologie

Discipline:

Computer science

Sector:

Education

University:

University of Waterloo

Program:

Globalink Research Award

Analyse multivariée à l’aide de traitement d’images RGB et thermiques pour le phénotypage et la surveillance des cultures de fraises en agriculture verticale.

THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW

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Faculty Supervisor:

Guillaume-Alexandre Bilodeau

Student:

Partner:

Ferme d’Hiver

Discipline:

Computer science

Sector:

Agriculture and Food

University:

Polytechnique Montréal

Program:

Accelerate

Étude du comportement en flambement des cornières en carton

Les cornières en carton sont des produits d’emballage. L’entreprise Abzac et l’Université du Québec à Trois-Rivières travaillent conjointement à rendre ces produits plus écoresponsables et à développer des essais pour évaluer leur performance. La norme actuelle pour évaluer les cornières en compression présente une lacune majeure en négligeant le flambement, sous-estimant ainsi la performance réelle des cornières. Afin de remédier à ce problème, le comportement en flambement des cornières en carton sera étudié par des méthodes analytiques, numériques et expérimentales. Une compréhension approfondie permettra de restreindre le flambement lors des essais de compression, favorisant une évaluation précise. Cette approche facilitera la sélection d’une géométrie adaptée, réduisant les risques liés à l’utilisation de cornières sous ou surdimensionnées pour des applications spécifiques.

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Faculty Supervisor:

Mathilde Jean-St-Laurent;Laurent Cormier

Student:

Partner:

Abzac Canada

Discipline:

Engineering

Sector:

Transportation (excluding aerospace); Sustainability & the Environment

University:

Université du Québec à Trois-Rivières

Program:

Accelerate

Réingénierie des processus d’affaires du département d’ingénierie

Il s’agit de la réingénierie des processus d’affaires du service de l’Ingénierie, plus particulièrement des processus de développement de produits dans le domaine de la fabrication dans le transport ferroviaire. Révision et mise à jour selon les dernière pratiques dans le but d’atteindre les objectifs stratégiques de l’entreprise.

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Faculty Supervisor:

Marie-Claude Trudel

Student:

Partner:

Vapor Rail

Discipline:

Engineering

Sector:

Transportation (excluding aerospace); Advanced Manufacturing

University:

HEC Montréal

Program:

Accelerate

Determination of appropriate time of start of follow-up to ascertain depressive disorder outcomes in youths and adolescents of pregnant people with or without depressive disorders

Prevalence of major depressive disorders have been on the rise over the last few decades. Depression is an important public health problem that touch pregnant people. Depression during pregnancy has been associated with many negative outcomes, such as cognitive impairment and childhood psychopathology in the offspring. Many pregnant women take antidepressants, such as Selective serotonin reuptake inhibitors, which cross the placenta into the foetus or are present in milk while breastfeeding. Few studies focused on the long-term effect of SSRI. One of the main limitations is the unavailability of large databases with long enough follow-up time in order to detect these effects. In fact, it is unclear when the time of the follow-up should start. This project aims to address these limitations using large databases with long follow-ups in order to evaluate the association between depression and SSRIs use in pregnancy and children/adolescents’ depression. This project aims to fill in the gaps present in the literature due to methodological constraints through an international collaboration. The objective is to compare results between the Danish and Quebecois populations, to evaluate how the effect of the exposure varies across populations, databases, and to obtain robust conclusions.

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Faculty Supervisor:

Anick Bérard

Student:

Partner:

University of Southern Denmark

Discipline:

Life Sciences

Sector:

Education

University:

Université de Montréal

Program:

Globalink Research Award

Illégalismes et production urbaine aux Philippines

Le projet de doctorat porte sur les liens entre illégalité et développement urbain aux Philippines. De manière à mener le terrain adéquatement aux Philippines (à l’hiver 2025), une session de recherche à Turin en Italie sera entreprise durant l’automne 2024. Cette session a pour but de me former aux sujets reliant illégalité et ville que ce soit d’un point de vue théorique ou méthodologique. Plus encore, cette session me permettra de rencontrer divers experts en la matière ainsi que de m’aider à rédiger les premières parties de la thèse de doctorat.

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Faculty Supervisor:

Gabriel Fauveaud

Student:

Partner:

Università di Torino

Discipline:

Sociology

Sector:

Other; Construction

University:

Université de Montréal

Program:

Globalink Research Award

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