Innovative Projects Realized

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

30508 Completed Projects

2882
AB
5105
BC
825
MB
681
NL
860
SK
9051
ON
9491
QC
97
PE
586
NB
1141
NS

Projects by Category

Réduction du volume et de la teneur en contaminants organiques présents dans les biosolides de la ville de Sainte-Julie par voies microbiennes et/ou enzymatiques

La ville de Ste-Julie (Qc) est aux prises avec une production importante de boues dans ses étangs de traitement des eaux usées. Ce faisant, elle doit vidanger annuellement ces derniers, ce qui représente des coûts d’opération importants. Ces vidanges génèrent annuellement environ 600 tonnes sèches de boues. La ville souhaite donc développer une (bio)approche leur permettant de réduire in situ le volume de ces boues afin de réduire ses coûts d’opération.
Les microorganismes et les enzymes ciblées dans le cadre de ce projet ont démontrés leur capacité à hydrolyser et oxyder différents contaminants (ex. produits pharmaceutiques) et biomatériaux s’apparentant aux biosolides municipaux. Ce projet a pour objectif principal de déterminer la capacité souches bactériennes commerciales et d’enzymes à réduire le volume de biosolides de la municipalité de Sainte-Julie municipaux ainsi que la concentration en contaminants organiques qu’ils contiennent et ce, dans des conditions contrôlées de laboratoire. Ce projet sera réalisé en trois phases. La première identifiera les bactéries d’intérêt pour le traitement des biosolides ciblés. La seconde identifiera les conditions idéales de cultures de ces souches maximisant la réduction des volumes des biosolides.

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Faculty Supervisor:

Hubert Cabana

Student:

Partner:

Ville de Sainte-Julie

Discipline:

Engineering

Sector:

Public administration; Utilities

University:

Université de Sherbrooke

Program:

Accelerate

L’automatisation robotisée de processus : une approche par les règles d’affaires

Notre projet recherche porte sur l’automatisation robotisée de processus (ARP). L’approche ARP permet d’automatiser des processus d’affaires à l’aide de robots virtuels se basant sur les règles d’affaires. Son avantage est son faible coût de mise en œuvre et sa flexibilité. Il y a présentement peu d’études réalisées sur cette approche qui gagne en popularité dans le marché de l’automatisation de processus d’affaires. En fait, il n’existe aucune méthode se basant sur les règles d’affaires gouvernant les activités d’un processus qui évalue le potentiel d’un processus à être automatisé avec la technologie ARP. La méthode développée dans le cadre de ce projet procurera un avantage concurrentiel aux compagnies canadiennes en leur offrant une méthode simple et innovante qui les permettra d’implanter efficacement l’approche ARP et ainsi les aidera à réduire les coûts d’opération, augmenter la productivité et améliorer la qualité des services fournis.

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Faculty Supervisor:

Abderrahmane Leshob;Hafedh Mili

Student:

Partner:

Cascades Inc

Discipline:

Computer science

Sector:

Manufacturing

University:

Université du Québec à Montréal

Program:

Accelerate

Genome-wide association study (GWAS) for biological nitrogen fixation and protein content in soybean (Glycine max)

The biologically-fixed N is more efficiently converted into protein than mineral N from fertilizers. As low protein content is currently a topic of great concern in many soybean-growing areas, improvement of BNF efficiency may reach higher protein levels with lower environmental impacts. Genome-wide association studies (GWAS) have shown excellent results in the association of single-nucleotide polymorphisms (SNPs) with phenotypic characteristics. This project aims to perform a GWAS to identify SNP markers that are associated with traits involved in BNF and protein concentrations in soybean grains. To do that, genotyping-by-sequencing (GBS) will be carried out to build an extensive catalog of SNPs capturing the genetic diversity existing in a panel of 191 soybean lines. Therefore, it is expected to provide information and SNP markers that may be useful to the scientific community involved in soybean breeding programs aiming at increasing protein concentrations in grains.

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Faculty Supervisor:

François Belzile

Student:

Partner:

Universidade Estadual de Londrina

Discipline:

Life Sciences

Sector:

Agriculture and Food; Biotechnology; Sustainability & the Environment

University:

Université Laval

Program:

Globalink Research Award

Walking With Elders: Resistance and Development in Winnipeg’s Inner City 1960-2000

This is the second phase of a oral history project. Interns will assist in coding and analyzing over 100 hours of recorded interviews (transcribed) with more than 30 Indigenous Elder activists. In addition, they will conduct and record additional interviews in areas where knowledge gaps have been determined. They will work with project team to begin produce thematic digital materials for education purposes. The partner organization will benefit from having additional support to complete this research project that has been several years in the making. It will allow the MRA-CCPA to move to the final knowledge mobilization stage which will entail broad distribution and integration into at least one university course.

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Faculty Supervisor:

Shauna MacKinnon;Noam Gonick

Student:

Partner:

Canadian Centre for Policy Alternatives

Discipline:

Sociology

Sector:

Education; Indigenous Affairs; Other

University:

University of Winnipeg

Program:

Accelerate

Evaluating the potential of using a combination of bioremediation and phytoremediation for a hydrocarbon and metal contaminated site

The main aim of this research project is to develop and test a sustainable green remediation technology to bring down the contaminant levels in a hydrocarbon and heavy metal contaminated site so that it can be used for public use. Anthropogenic industrial activities can lead to accumulation of harmful hydrocarbons and heavy metals in soil environment which can have human health impact and may enter food chain affecting ecosystem as well. If these contaminations happen at a public site, then the space cannot be used by public unless the contaminant levels are brought down below the maximum allowable concentration

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Faculty Supervisor:

Mano Krishnapillai;Lakshman Galagedara

Student:

Partner:

Town of Channel-Port aux Basque

Discipline:

Life Sciences

Sector:

Public administration

University:

Memorial University of Newfoundland

Program:

Accelerate

Engaging youth in a developmental evaluation of Raising the Grade

Raising the Grade is an innovative after-school program launched this year by the Boys and Girls Clubs of Canada (BGCC) in 25 clubs across Canada. Through the use of online learning tools, mentorship, and the early promise of a scholarship, the program hopes to engage youth at risk of dropping out of high school and help them graduate from high school and enroll in post-secondary education. The proposed internship is part of a long-term developmental evaluation of Raising the Grade being conducted by the Social Research and Demonstration Corporation (SRDC). The internship will support the evaluation with a comprehensive review of the literature on the use of technology to promote student engagement, and engaging youth at one Club in the development of an electronic magazine about the early results of the evaluation. Both activities will help SRDC and BGCC learn more about engaging youth in the program and its evaluation.

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Faculty Supervisor:

Stephanie Austin

Student:

Partner:

Social Research and Demonstration Corporation

Discipline:

Sociology

Sector:

Professional, scientific and technical services

University:

University of Ottawa

Program:

Accelerate

Fonctionnement scolaire des enfants vivant en contexte pandémique et contribution du tutorat pour soutenir la réussite scolaire des enfants 6-17 ans.

Le 11 mars 2020, l’Organisation mondiale pour la Santé déclare que l’éclosion de la COVID-19 est désormais une pandémie. Face à la propagation du virus et à la mortalité qui l’accompagne, le gouvernement Québécois met en place les mesures de confinement strict. Les premières études établissent que l’adaptation globale des enfants est peu compromise par la pandémie, mais que certains groupes d’enfants s’adaptent moins bien que d’autres. Alors que la seconde vague sévit et que de nouvelles restrictions sont mises, l’adaptation des enfants peut avoir changée depuis mai 2020. Ce projet vise à comparer les niveaux d’adaptation psychosociale et scolaire des enfants 6-17 ans vivant en contexte de pandémie à court, moyen et long terme. Il est attendu que les enfants puissent démontrer des niveaux d’adaptation psychosociale et scolaire variables selon la durée de la pandémie et les mesures qui sont associées mais aussi selon leur niveau de vulnérabilité et leurs caractéristiques.

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Faculty Supervisor:

Claire Baudry

Student:

Partner:

Fondation Jasmin Roy Sophie Desmarais

Discipline:

Sociology

Sector:

Education; Other services (except public administration)

University:

Université du Québec à Trois-Rivières

Program:

Accelerate

Battery lifetime optimization for AI @ Edge devices

Optimizing energy consumption of Artificial Intelligence of Things (AIoT) devices is mandatory and challenging. Energy Harvesting (EH) from RF, solar, thermal, wind, and kinetic energy sources can be a good substitute for traditional batteries. EH is expected to have abundant applications in future AIoT and self-powered micro-systems such as wireless sensor networks and wearable devices. The combination of different sources of energy with harvesting capabilities is considered as a viable option to develop autonomous or AIoT devices with reduced dependency on batteries. Since the output voltage of the different energy harvesting mechanisms varies significantly depending on the strength of the ambient power source, they need to be converted into a suitable and stable voltage level using a power conditioning circuit. However, power conditioning of the harvested energy is very challenging. On the other hand, stringent requirements for low-power intelligent devices at the edge require the study and development of Artificial Intelligence (AI) algorithms and suitable hardware support to mitigate the computational demand of these systems.
In this research proposal, our main objective is to develop autonomous devices featuring AI algorithms with reduced battery dependence.

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Faculty Supervisor:

Yvon Savaria

Student:

Partner:

Intégration Dolphin Inc

Discipline:

Engineering

Sector:

Manufacturing

University:

Polytechnique Montréal

Program:

Accelerate

Summer-season streamflow prediction model for the Oldman River Basin (Phase 2)

Reliable monthly and seasonal streamflow predictions are essential for optimal planning of water resources, particularly for reservoir operation and planning applications. In addition, reliable streamflow forecasts can improve the capability of water use efficiency, along with early drought and flood warning, and its importance is rising with climate change, causing more frequent extreme drought events. Current streamflow forecasts in the Oldman River Basin are uncertain. It poses a risk is irrigators relied on them to plan for the next irrigation season.
Our project uses models that rely on input data rather than simulating physical processes and machine learning techniques to develop reliable summer-season streamflow predictions for Waterton and Belly Rivers in Alberta. Further, we study the risks associated with issuing the forecasts earlier in the wintertime. Reliable summer-season forecasts in Alberta can help water managers and stakeholders make better-informed decisions on seasonal water allocation, drought mitigation strategies, and environmental flow management.

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Faculty Supervisor:

Evan Davies

Student:

Partner:

Optimal Solutions Ltd

Discipline:

Engineering

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

University of Alberta

Program:

Accelerate

Development of an automatic recruitment system using machine learning techniques

Computerization of tasks, adaptation to future skills, new training techniques, and cultural diversity are the main challenges that today’s employers face on a daily basis when recruiting new candidates. The increasing complexity of the process of searching for qualified candidates and the high turnover of talent are issues that arise from this new reality. In this project, and with the collaboration of two industrial partners, Thallo and Reelcruit, we propose to create a technological tool that optimizes the recruitment process. Specifically, we use machine learning, natural language processing and big data analysis techniques in order to match the right candidate with the right role. This project directly aligns with Thallo and Reelcruit mission and will expands their actual platforms to provide relevant recommendations for both recruiters and job seekers.

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Faculty Supervisor:

Nizar Bouguila

Student:

Partner:

Thallo;Reelcruit

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Concordia University

Program:

Accelerate

Évaluation d’une formation interactive en ligne pour soutenir les intervenants en camps de jour qui travaillent avec des enfants en situation de handicap

L’Association québécoise pour le loisir des personnes handicapées (AQLPH) est un organisme dont la mission implique notamment de favoriser l’intégration des enfants en camps de jour et en camps de vacances. Le projet de recherche vise à évaluer une formation en ligne conçue par l’AQLPH pour enseigner aux intervenants comment intervenir auprès des enfants en situation de handicap dans ce contexte. Les résultats de la recherche permettront d’identifier les meilleures pratiques pour soutenir ces intervenants tout en documentant leurs compétences et leur bien-être. En améliorant les pratiques, ce projet devrait avoir une répercussion positive sur la qualité des interventions offertes en camps auprès des enfants en situation de handicap.

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Faculty Supervisor:

Marc Lanovaz

Student:

Partner:

Association Québécoise pour le Loisir des Personnes Handicapées

Discipline:

Sociology

Sector:

Administrative and support, waste management and remediation services; Arts, entertainment and recreation

University:

Université de Montréal

Program:

Accelerate

Molecular decomposition of localizable Hardy spaces and applications

The theory of real Hardy spaces, denoted by Hp, and its local version hp, has been extensively developed since the 1960s. Among the countless important properties of these spaces, one can make note the atomic and molecular decomposition, which allows to describe a distribution on this space in terms of particular functions called atoms and molecules. These latter objects represent the basic building blocks of Hardy spaces and it turns out that some important properties of the space itself and operators acting on them can be obtained looking at this particular decomposition, which is plenty easier to handle. Although the molecular theory for Hp is fully developed, for the local version this structure is not completely understood yet. The goal of this project is to investigate and propose the right molecular decomposition for hp and apply it to get the boundedness of some classical operators in Harmonic Analysis, such as strongly singular Calderón-Zygmund operators.

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Faculty Supervisor:

Galia Dafni

Student:

Partner:

Universidade de São Paulo

Discipline:

Mathematics

Sector:

Education

University:

Concordia University

Program:

Globalink Research Award

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