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

Economic optimization of visceral leishmaniasis control

Visceral leishmaniasis is one of the world deadliest and neglected infectious diseases. Therefore, it is important elaborating a good strategic control for this disease. In this project, our general objectives include how to plan the optimization of visceral leishmaniasis control, taking into account the economic approach. This research will not involve experiments and clinical study. Its primary focus is on the theoretical study based on mathematical analysis and computer simulations but it has potential applications in informing policy and evaluating different strategies. The results of this research could indirectly indicate how much the public health services should economize with healing initiatives (due to incidence of human cases). In a general view, we expected that predominates the decision to invest on vector control and that the current control activities be reviewed.

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Faculty Supervisor:

Jianhong Wu

Student:

Partner:

Universidade de São Paulo

Discipline:

Mathematics

Sector:

University:

York University

Program:

Globalink Research Award

Spatial distribution and environmental stressors of kelp forests in the Broughton Archipelago, BC

The objective of this project is assessing the current distribution of kelp forests and to identify potential areas where the environmental conditions could enhance the development and resilience of kelp forests in the Broughton Archipelago, northeast of Vancouver Island. This information will help research, managers, communities, and Bamfield Marine Science Centre, the partner organization, to understand the distribution and health state of kelp forest along the Broughton Archipelago. Furthermore, it would be important to guide efficient planning and management of kelp forest, which is a priority of Mamalilikulla, ‘Na_mg_is, and Kwikwasut’inuxw Haxwa’mis First Nations in their aim to help wild salmon populations to recovery.

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Faculty Supervisor:

Maycira Costa

Student:

Partner:

Kelp Rescue Initiative

Discipline:

Life Sciences

Sector:

Environmental Science and Technology; Sustainability & the Environment; Life Sciences (not health)

University:

University of Victoria

Program:

Accelerate

A quarterly real GDP index for the province of Alberta

Stress tests link key bank variables with macroeconomic indicators to measure, for example, how much bank earnings can vary during economic downturns. For local businesses, which are closely tied to the health of the local economy, it’s important that these macroeconomic indicators have a regional focus. In this project, our goal is to enhance the accuracy of our forecasts for Alberta’s output. Since many businesses in Alberta depend on these forecasts for decision-making, this tool will offer valuable insights to businesses throughout the province.

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Faculty Supervisor:

Sebastian Fossati;Valentina Galvani

Student:

Partner:

ATB Financial

Discipline:

Business

Sector:

Finance and Insurance

University:

University of Alberta

Program:

Accelerate

Étude de l’évolution stylistique et fonctionnelle de la céramique commune grecque

Participant au stage de l’école de fouille d’Argilos, j’aimerais faire un voyage de deux semaines avant le stage et de quatre semaines après le stage afin de collecter des données concernant l’évolution structurelle et fonctionnelle de la céramique commune grecque à travers les visites de musée et de site archéologique dans le Péloponnèse et dans le nord de la Grèce. Ces données obtenues permettraient de compléter les connaissances acquises à travers les semaines de fouille et d’étude au musée.

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Faculty Supervisor:

Jacques Perreault

Student:

Partner:

Université de Patras

Discipline:

Sociology

Sector:

Education

University:

Université de Montréal

Program:

Globalink Research Award

La recherche-création : vecteur de réappropriation de la parole chez les victimes de violence conjugale

Ce projet consiste à susciter et à accompagner la prise de parole de survivantes de violence conjugale en la médiatisant par l’entremise de la création littéraire. Recrutées en collaboration avec des organismes communautaires des régions du Saguenay et de la Capitale-Nationale, ces femmes prendront part à des entretiens préparés par des professeur.es en littérature et en psychologie, à la suite desquels elles seront soutenues et guidées dans leur processus de reconstruction. Innovant, ce projet favorisera la création de ponts entre les secteurs académique et éditorial, en plus de fournir une porte d’entrée importante aux chercheur.euses participant.es vers les milieux de pratique et d’intervention. Plus spécifiquement, le projet Mitacs permettra de financer la participation de l’étudiant au 3e cycle Tristan Malavoy-Racine, qui contribuera durant son stage à différentes activités éditoriales des Éditions XYZ, activités qui le prépareront à coordonner le processus éditorial de l’ouvrage collectif projeté.

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Faculty Supervisor:

Catherine Morency

Student:

Partner:

Éditions XYZ

Discipline:

Sociology

Sector:

Social Innovation; Education; Health and Related Sciences & Technology

University:

Université du Québec à Chicoutimi

Program:

Accelerate

Determining the force of infection from a dynamic model

Through a method of mathematical modeling, we intend to obtain essential data to determine the risk of non-immune tourists acquiring dengue during the stay of these tourists in Brazil in the 2014 FIFA World Cup in 12 host cities, and in the 2016 Summer Olympics that is Rio de Janeiro as the host. In 2014, during the World Cup, 600,000 tourists are expected in Brazil. To determine the risk, a careful analysis of the number of dengue cases, by city, for the period between 2003 and 2013 is required. These data were obtained from the Ministry of Health of Brazil.
Expected results.
1 – The force of infection for each host city.
2 – The risk of dengue for tourists in Brazil.

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Faculty Supervisor:

Jianhong Wu

Student:

Partner:

Universidade de São Paulo

Discipline:

Mathematics

Sector:

University:

York University

Program:

Globalink Research Award

Développement d’algorithmes de moindres carrés non-linéaires sous con-traintes appliquées pour la prévision de la demande en électricité

La prévision de la demande d’électricité à court terme est un des enjeux majeurs de l’exercice des activités d’Hydro-Québec. Cette tâche requiert de calibrer les paramètres de modèles de prévision complexes par rapport à un grand nombre de données. Or, un des systèmes de calibration utilisé quotidiennement éprouve des difficultés d’adaptation face à la nouvelle conjoncture climatique et sociétale. Un des axes de recherche pour faire face à ces enjeux porte sur la modernisation de l’algorithme d’optimisation intervenant dans le processus de calibration. Le but de ce projet est alors d’implémenter deux méthodes d’op-timisation modernes et adaptées aux nouveaux besoins d’Hydro-Québec, afin d’améliorer les performances de l’outil de pré-vision à court terme actuellement en place.

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Faculty Supervisor:

Fabian Bastin

Student:

Partner:

Hydro-Quebec

Discipline:

Engineering

Sector:

Technology; Green/Alternative Energy; Energy and Utilities

University:

Université de Montréal

Program:

Accelerate

Finetuning an Embedding Model for RAG in the Construction of Minority Languages

This project seeks to bring a PhD student from Yonsei University, South Korea, to Concordia University for research focused on developing an AI-powered automated construction site monitoring technology. Building upon the applicant’s expertise gained during their studies in South Korea, we aim to establish a Large Multimodal Model capable of generalizing object recognition, meeting Level 2 proficiency as per the Artificial General Intelligence standard. With the host advisor’s AI expertise and access to computing resources like GPU-embedded desktops, the PDF is expected to successfully achieve its objectives within the stipulated timeframe. This pioneering initiative toward a generalized large-scale AI model represents a significant advancement in automated construction monitoring, promising to elevate automation levels in Canadian construction industries. Collaboration through these proposed plans will not only enrich the PDF’s research and professional network but also open new research avenues for Concordia to explore.

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Faculty Supervisor:

Jong Won Ma

Student:

Partner:

Yonsei University

Discipline:

Engineering

Sector:

Education

University:

Concordia University

Program:

Globalink Research Award

L’intelligence artificielle pour analyser l’acceptabilité des projets de ressources naturelles

En utilisant des modèles de Traitement Automatique des Langues (TAL), notre objectif est d’analyser de manière approfondie les articles de presse pour extraire des informations cruciales sur l’acceptabilité sociale des projets liés aux ressources naturelles. Nous nous concentrons sur l’identification des parties prenantes impliquées, ainsi que sur l’identification des facteurs clés de succès et des obstacles potentiels pour ces projets. Cette analyse permettra de mieux comprendre les perceptions et les préoccupations de la société, offrant ainsi aux décideurs une base solide pour l’élaboration de stratégies visant à renforcer l’acceptabilité sociale de ces projets et à favoriser leur succès à long terme

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Faculty Supervisor:

Jérôme Deschênes

Student:

Partner:

École nationale des sciences de l'informatique

Discipline:

Computer science

Sector:

Education

University:

Université du Québec en Abitibi-Témiscamingue

Program:

Globalink Research Award

Développement d’un procédé de fabrication d’un récepteur CPV

Ce stage s’inscrit dans un projet de recherche qui a pour objectif le développement d’un récepteur CPV avec un réseau dense de cellules solaires, en utilisant une architecture basée sur le concept de FOWLP (Fan-Out Level Packaging). Les cellules à concentration (CPV) présentent l’efficacité la plus élevée parmi toutes les technologies photovoltaïques, et le concept FOWLP est de plus en plus adopté dans l’industrie des semi-conducteurs pour, entre autres, réduire les coûts de fabrication des dispositifs. Cette architecture innovante vise à réduire les pertes d’ombrage en diminuant les zones “mortes” des cellules solaires de matériaux III-V, favorisant ainsi la conversion de photons en courant électrique. Grâce à un procédé d’assemblage du module photovoltaïque plus efficace par rapport au procédé classique, les coûts de fabrication seront réduits, rendant ainsi cette technologie plus compétitive. Le travail de ce stage se concentrera sur les aspects de fabrication et de packaging des récepteurs CPV.

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Faculty Supervisor:

Gwenaëlle Hamon;Jonathan Naisby

Student:

Partner:

Université Paris-Saclay

Discipline:

Engineering

Sector:

Education

University:

Université de Sherbrooke

Program:

Globalink Research Award

Data fitting to Dengue fever

The objective of the research project is to study an efficient and fast way to calculate values of some parameters which are hard to be estimated in nature in relation to dengue, they are: the biting rate, probability that a host to get infected, probability that a vector to get infected. These parameters are needed to estimate the “Basic Reproduction Number”, in a very simple way this number is defined as the expected number of secondary cases of a disease produced by a single infection in a completely susceptible population.

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Faculty Supervisor:

Jianhong Wu

Student:

Partner:

Universidade de São Paulo

Discipline:

Mathematics

Sector:

University:

York University

Program:

Globalink Research Award

Machine Learning-based Approaches for Channel Estimation and Spectrum Sharing

Using simplified language understandable to a layperson; provide a general, one-paragraph description of the proposed research project to be undertaken by the intern(s) as well as the expected benefit to the partner organization. (100–150 words)
The proposed research is focused on developing machine learning and deep learning-based approaches to improve the operation of 5G networks in two main sub-project areas: channel reconstruction and spectrum sharing. In the first sub-project, we propose a methodology to reconstruct the wireless channel based solely on limited downlink CSI metrics. The purpose of this study is to recreate channels experienced during over-the-air testing by extracting their key channel characteristics. These characteristics will be used to create a similar simulated channel for further testing. This will improve the simulated channel’s accuracy, making it resemble the real-world scenario in which the CSI was collected. In the second sub-project, i.e., spectrum sharing, we propose the use of different Deep Reinforcement Learning (DRL) algorithms to develop novel and innovative approaches for optimal and distributed spectrum sharing and optimizing the operation of RIS-assisted UAV networks and RIS-assisted m-MIMO networks for 5GB systems.
The outcomes of the project will include models for channel reconstruction as well as new approaches for spectrum sharing. The impact of this project is an increase in the data rates and significant reduction in delays over 5G networks, which will improve the services provided to end users and clients over such networks.

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Faculty Supervisor:

Gabriel Wainer

Student:

Partner:

Ericsson Canada Inc (Ottawa, ON)

Discipline:

Engineering

Sector:

Information and cultural industries; Manufacturing; Professional, scientific and technical services

University:

Carleton 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.