Innovative Projects Realized

Explore thousands of successful projects resulting from collaboration between organizations and post-secondary talent.

30156 Completed Projects

2861
AB
5059
BC
812
MB
673
NL
842
SK
8957
ON
9368
QC
96
PE
579
NB
1120
NS

Projects by Category

Movement patterns of migratory tree-roosting bats during autumn migration in southern Saskatchewan

Three of Saskatchewan’s bat species roost in trees and migrate long distances annually: hoary bats, eastern red bats and silver-haired bats. Migratory bats are facing a variety of threats, such as habitat loss, climate change, pesticide use, and fatalities at wind energy facilities. Large numbers of bat fatalities have been recorded at wind energy facilities across North America. If current fatality rates continue, the population of hoary bats, the species most commonly killed by wind turbines, could decrease by up to 90% in the next 50 years. If we can identify areas or landscape features associated with bat migration, this information can be used by SaskPower and other stakeholders to inform wind power siting decisions for future wind energy projects.

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Faculty Supervisor:

Mark Brigham;Erin F Baerwald

Student:

Partner:

SaskPower

Discipline:

Life Sciences

Sector:

Utilities

University:

University of Regina

Program:

Accelerate

Acoustophoresis For Pulp Separation

In pulp and paper mills, efficient techniques are required to remove accumulating solid suspensions in order to optimize raw material usage and closing up water systems due to environmental regulations. As a novel approach to solid removal, an ultrasonic method to clarify a white-water stream appears promising. For white-water stream clarification, the idea is to apply a normal force on flowing fibers using radiation force coming from an ultrasonic wave field (acoustophoresis), for the purpose of migrating the fibers and thus increasing the consistency of the pulp stream. This project aims at determining the optimal configuration for feasible pulp manipulation in industrial environment. After a brief bibliography, both numerical and experimental methodologies will be developed in order to derive the optimal transducer configuration. TO BE CONT’D

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Faculty Supervisor:

Nicolas Quaegebeur

Student:

Partner:

GL&V Canada

Discipline:

Engineering

Sector:

Manufacturing

University:

Université de Sherbrooke

Program:

Accelerate

Classification automatique de données d’indicateurs de performance de projets de Partenariat Public Privé et analyse de tendances

Dans le domaine de la gestion des infrastructures, les indicateurs de performance (IP, ou en anglais Key Performance Indicators – KPI) sont des mesures qui lient le client et le fournisseur de services. Ces indicateurs permettent de fixer des objectifs de performance que le fournisseur doit atteindre. Les IP sont particulièrement importants dans des ententes du type PPP (Partenariat Public-Privé) où le fournisseur s’engage à fournir des services sur des périodes de parfois plusieurs années, voire des décennies.
La gestion des IP nécessite un travail manuel imposant pour consigner et classifier les IP. Ce travail est sujet à des erreurs et à un processus de validation entre le fournisseur de service et le client. Le présent projet vise à assister les agents qui interviennent dans ce processus en automatisant certaines étapes par la mise en oeuvre d’algorithmes de classification. Il en résultera un gain de productivité important. TO BE CONT’D

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Faculty Supervisor:

Michel Desmarais

Student:

Partner:

iA Résultat Inc

Discipline:

Computer science

Sector:

Information and cultural industries

University:

École Polytechnique de Montréal

Program:

Accelerate

Étude comparative des écosystèmes d’intelligence artificielle de Montréal et Paris : le rôle du processus de légitimation culturelle et du discours éthique

Cette recherche a pour but de documenter les particularités des écosystèmes d’innovation de Montréal et Paris constitués de relations entre trois secteurs (privé, universitaire et gouvernemental), afin de comprendre le rôle du processus de légitimation culturelle, en particulier dans la production d’un discours éthique sur l’intelligence artificielle. Grâce à la collecte de témoignages provenant des principaux acteurs de ces écosystèmes d’innovation nous formerons un corpus de discours représentatif des rôles joués dans le déploiement de l’intelligence artificielle. La comparaison permettra, dans un premier temps, d’identifier le rôle des acteurs extraterritoriaux et des acteurs locaux pour ensuite, dans un second temps, comprendre les relations de collaboration et leurs impacts sur les initiatives de ville intelligente, de numérisation des services, et de gouvernance numérique mise en place. À terme, nous voulons identifier en quoi les villes de Montréal et de Paris, qui, encore dans les plans annoncés en 2015 mettaient l’accent sur des plateformes collaboratives et citoyennes, sont tendanciellement amenés à légitimer et à s’orienter vers des modèles entrepreneuriaux concentrés sur la promotion de startups et la commercialisation des algorithmes d’apprentissage profond.

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Faculty Supervisor:

Jonathan Roberge

Student:

Partner:

Institut d'études politiques de Paris

Discipline:

Sociology

Sector:

Information and Communications Technology; New and Digital Media; Public Service, Policy, and Governance

University:

Université du Québec : Institut national de la recherche scientifique

Program:

Globalink Research Award

Extraction et analyse des objectifs de sollicitation client

L’objectif de ce projet de recherche est d’améliorer la compréhension des membres par les conseillers de la Fédération des caisses Desjardins. Pour ce faire, nous avons mis en place une solution permettant d’analyser l’information provenant des appels et des discussions par chat. Grâce à différents algorithmes de traitement automatique du langage, nous pouvons extraire les différents mots-clés et expressions utilisées au sein des conversations. Ces expressions nous ont permis de créer un système de tri des appels et discussions en fonction des différents services de l’entreprise. Le but final étant d’extraire l’objet principal de la demande du membre afin d’améliorer le suivi, les redirections d’appel, et les propositions de services faites aux différents membres.

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Faculty Supervisor:

Gilles Caporossi

Student:

Partner:

Mouvement des caisses Desjardins

Discipline:

Computer science

Sector:

Finance and Insurance

University:

HEC Montréal

Program:

Accelerate

Comparing chemical suppressants for the control of fugitive dust emission on mine hauls roads

Dust generated from haul roads poses a health and safety threat to mine sites. Traditionally, water has been applied on mine haul roads to control the dust. Using chemical surfactants to form a solution of chemical suppressants has been considered as a more effective method to control fugitive. However, the use of chemical dust suppressants is still in an “art” stage in which the selection and use of dust suppressants is largely based on site experience after numerous “trials-and-errors.” To this end, the objective of this proposed research is to develop a bench-scale testing framework and conduct a systematic investigation on various chemical dust suppressants in the mining industry. The results derived from the proposed investigation and its related characterizations will strongly benefit the selection of chemical dust suppressants for truck hauling in Canada’s mining sites.

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Faculty Supervisor:

Wei Liu

Student:

Partner:

Teck Resources Ltd

Discipline:

Engineering

Sector:

Mining

University:

University of Alberta

Program:

Accelerate

Anomaly detection and simulation for unlabeled sensor data

The rapid development in the areas of statistics and machine learning demonstrate unprecedented performance in making cognitive business decisions. Quartic.ai aims to use state-of-the-art machine learning technology to help manufacturers assess and maintain the quality of their industrial units, which suffer damage due to continuous usage and normal wear and tear. Such damage needs to be detected early to prevent further losses. The data in this domain are recorded using sensors at various stages in the process flow. Major challenges of analyzing these sensor data are (1) unlabeled data, which may contain very few unobserved anomalies or outliers; (2) the development and evaluation of algorithms that can robustly detect anomalies. Due to the lack of labels, the performance of algorithms can not be directly evaluated. To tackle the problems, we will carefully design simulations by taking into account of various types of outliers and develop novel robust one-class classification algorithms.

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Faculty Supervisor:

Linglong Kong

Student:

Partner:

Quartic.ai Canada Inc

Discipline:

Mathematics

Sector:

Professional, scientific and technical services

University:

University of Alberta

Program:

Accelerate

Smart Phone Microscope

The project that you will be working on is titled “Microscope adapter for smart phone camera”. As such we have made quite a bit of progress and have made two prototypes of microscope that can be interfaced with a smartphone. However, now we will like to have advanced features like fluorescent microscopy. So the final objective of what you will be doing here is the develop and demonstrate some of these capabilities in this device. In the process of doing that you will get to do many other things involving surface science, soft mechanics and, of course, some optics.

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Faculty Supervisor:

Boxin Zhao

Student:

Partner:

Indian Institute of Technology Kanpur

Discipline:

Engineering

Sector:

Education

University:

University of Waterloo

Program:

Globalink Research Award

Bench Marking of FEA Software Packages in 2D and 3D

Finite Element Analysis (FEA) breaks object components into numerical finite elements and calculate their performance individually. As long as the finite element is small enough, the performance of the entire part can be simply obtained by adding up all the performances of finite elements. However, the giant number of finite elements in 3D models makes processing time too long, which reduces efficiency and adds costs. Therefore, in this project I will simplify 3D model into beam element (2D beams representing parts in 3D space to create structure). This will give us an estimation of the actual performance but save lots of processing time.

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Faculty Supervisor:

Kamran Behdinan

Student:

Partner:

SPP Canada Aircraft Inc

Discipline:

Engineering

Sector:

Manufacturing

University:

University of Toronto

Program:

Accelerate

Communities Under Siege: Everyday Challenges in the Divided City of Jerusalem

In cities around the world, land is disputed between groups of people from different religious, socioeconomic, class, and ethnic backgrounds. These differences and contestations play out in the urban landscape by creating divided cities. Jerusalem is one of the most divided cities in the world, and has received little scholarly attention with regards to gendered division in the landscape on a neighborhood level. The proposed research project aims to understand agency within women in Palestinian communities in Jerusalem. It seeks to explore Palestinian women’s grassroots methods of contributing to and shaping their urban environment, in not only a male dominated society, but in a city where Israeli’s hold all the formal roles in urban planning and development. This project is significant to the research community and to society because it will both give a voice to marginalized peoples and reveal the management methods of those residing in polarized cities.

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Faculty Supervisor:

Sarah Moser

Student:

Partner:

The Hebrew University of Jerusalem

Discipline:

Sociology

Sector:

Public Service, Policy, and Governance; Aboriginal Affairs; Other

University:

McGill University

Program:

Globalink Research Award

Practical Multi-Interface Network Access for Mobile Devices

The goal of this project is to improve and study algorithms and methods for better network connectivity in mobile environment, when multiple, different networks are available. The goals include studying techniques for combining capabilities of independent network links, improve the methods of migrating existing connections between different physical networks, as well as studying the impact on the battery life in presence of those algorithms. The partner investigation will benefit from this research by extending the knowledge and understanding of the system developed by the company, which is at the core of the project. It will also help identify any problems with the system, that need to be addressed.

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Faculty Supervisor:

Sagar Naik

Student:

Partner:

Pravala Inc

Discipline:

Engineering

Sector:

University:

University of Waterloo

Program:

Accelerate

Comparing SME Policies: A Case Study between Detroit and Brazil

The purpose of this research is to create a framework which investigates the different factors that play a role in the effects that SME’s present to a society. This project will be case study based. It will define the differences between the micro-region of Detroit and a macro-region, the country of Brazil. The framework will be built to determine how the different variables impacted the effect that an SME policy had on the economic region. The objectives of this project are to compare the effects that SME policies, and the SME’s themselves, have had on the economic growth for Detroit and Brazil. By analyzing the structure of the policies and comparing their outcomes, we can understand the effects that they have on economies, society, and innovation. This research will outline the effects that different SME policies can have in a specified economic region. Whether that is economic, social, or otherwise, by comparing the effects that specific SME policies have had for the Detroit renaissance with Brazil, this project can bring a better understanding as to the better formulation for these business oriented policies.

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Faculty Supervisor:

Francine Schlosser

Student:

Partner:

Universidade Federal de São Paulo

Discipline:

Business

Sector:

Education

University:

University of Windsor

Program:

Globalink Research Award

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