Innovative Projects Realized

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

29670 Completed Projects

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Projects by Category

Designing quantum intelligent algorithms for portfolio optimization problems

Portfolio optimization is pivotal in the financial domain, aiming to allocate assets to maximize returns and minimize risk. Conventional optimization techniques often fall short due to the financial markets’ intricate nature, the optimization landscape’s non-convexity, and the vastness of possible portfolios. This project introduces a novel approach by integrating quantum-inspired methods with machine learning techniques to tackle portfolio optimization problems. The quantum-inspired methods harness the principles of quantum mechanics, specifically superposition and entanglement, to navigate complex optimization landscapes efficiently. Meanwhile, machine learning, particularly deep learning modeling, is utilized to capture and predict intricate market patterns, thus guiding the algorithm toward promising solutions. The amalgamation of these techniques aims to substantially outperform classical portfolio optimization methods in terms of computational efficiency and quality of solutions. Preliminary results demonstrate that our quantum intelligent approach is more adept at identifying optimal and diverse portfolios and holds significant promise for the future of financial analytics and decision-making.

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Faculty Supervisor:

Roger Melko

Student:

Partner:

yiyaniQ Inc.

Discipline:

Physics

Sector:

Information and cultural industries

University:

University of Waterloo

Program:

Accelerate

Unravelling the optimal luminous environment for the black soldier fly for biomass production and conversion of biowaste

In recent years, the use of insects as feed has gained attention for its potential to tackle environmental, economic, and ethical challenges in traditional feed production. The black soldier fly (BSF) is a key focus due to its potential in creating a circular economy, particularly in waste management and protein production. Improving the breeding conditions for the BSF is crucial to optimize its performance. We aim to contribute to this by developing new LED lights that maximizes the reproductive performance of these insects using a partnership between ADSOL, based in Montreal, Quebec, and Concordia University. This collaboration aims to provide insights into a green circular economy that benefits the environment and fosters innovation in the industrial and socioeconomic sectors.

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Faculty Supervisor:

Rassim Khelifa

Student:

Partner:

Solutions Avancées

Discipline:

Life Sciences

Sector:

Manufacturing

University:

Concordia University

Program:

Accelerate

Co-construction d’un programme de pair aidance en oncologie : regards croisés France – Québec

La pair-aidance est un mode d’accompagnement entre pairs qui composent ou ont composé avec des expériences de vie difficiles de même nature. Au cours cet accompagnement un pair-aidant (PA) met à disposition d’autres patients son savoir expérientiel, issu de sa vie avec la maladie, pour offrir un soutien émotionnel, expérientiel et informationnel aux patients accompagnés.
Depuis 2018, le projet PAROLE ONCO Québec étudie le déploiement des PA en oncologie. Il a permis de développer des outils et processus d’intégration des PA dans les services et a montré les bénéfices de cette approche pour les patients accompagnés, les PA, les professionnels de santé et les organisations de soins.
L’objectif est d’évaluer la transférabilité du programme avec la collaboration du Pre MP POMEY, investigateur principal du projet PAROLE Onco Québec. De plus, nous proposons d’étudier les adaptations nécessaires au programme pour assurer sa mise en œuvre et son efficacité en France.
Ce projet de recherche permettra de renforcer les connaissances et outils pour le déploiement du partenariat patient en santé en France et au Canada.
Il apportera à la société des éléments pour le déploiement et la pérennisation de l’intégration des patients dans le système de santé.

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Faculty Supervisor:

Marie-Pascale Pomey

Student:

Partner:

Université Claude Bernard Lyon 1

Discipline:

Sociology

Sector:

Education

University:

Université de Montréal

Program:

Globalink Research Award

AI Experiences and Conceptions of Responsibility for Responsible AI Practice: Diverse Perspectives

This study explores the perspectives of Canadians, including equity-deserving groups on artificial intelligence (AI). Underrepresented groups, who are not consulted enough in policymaking due to inequality, are given a platform through this study to share their insights. The goal is to provide inclusive practices in the development, regulation and use of AI. Participants from diverse backgrounds are invited to take part in virtual or in-person focus groups and surveys. The sessions include AI education and guided discussions. The findings will be published in a publicly accessible report and in academic publications.

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Faculty Supervisor:

Andrea Zeffiro

Student:

Partner:

TELUS

Discipline:

Sociology

Sector:

Information and cultural industries

University:

McMaster University

Program:

Accelerate

Machine Learning and Aerodynamic Optimization for Heavy Road Transportation

The need to reduce fossil fuel use is urgent, especially in sectors that produce a lot of greenhouse gases like heavy-duty road transportation. This is necessary because of increasing energy demand, urbanization, and global climate change. In Canada alone, more than $30 billion is spent yearly on fuel for heavy vehicles, resulting in a large amount of CO2 emissions. To address this problem, researchers are working on cost-effective changes to improve vehicle aerodynamics. These modifications could potentially reduce fuel consumption by 5-10%. Implementing these changes could lead to a decrease of up to 3 megatons of CO2 emissions in Canada and over 100 megatons worldwide. Combining machine learning with aerodynamics will further enhance these efforts by improving designs and predictions. This progress paves the way for a more sustainable and environmentally friendly future in heavy-duty road transportation, making a significant impact on mitigating global climate change.

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Faculty Supervisor:

Mohammad Saeedi

Student:

Partner:

Greentech Innovations

Discipline:

Engineering

Sector:

Administrative and support, waste management and remediation services

University:

Dalhousie University

Program:

Accelerate

Recording the developmental plasticity of a mammalian brain in DNA tapes

The chart of synaptic connections within a mammalian brain will serve as a reference map for generations, rivaling the impact of reference genomes. However, such maps have been elusive because current microscopy-based methods do not scale and necessitate sample destruction, losing the developmental history of synapses. We propose a novel “DNA tape” system that uses DNA barcodes traveling through synapses to generate a high-resolution synaptic map of the mouse brain. Utilizing the established CRISPR lineage tracing tools from Yachie Lab, the DNA tapes will record developmental histories via targeted base-editors, unveiling the dynamics of synaptic plasticity. Furthermore, we propose trans-splicing to fuse barcodes from different neurons, hereby circumventing the need for single-cell isolation and paving the way for larger dynamic brain maps. This project aims to develop a pioneering technology to create an open-access mammalian brain connectivity map, significantly enhancing the scale and depth of synaptic plasticity recording.

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Faculty Supervisor:

Nozomu Yachie

Student:

Partner:

Osaka University

Discipline:

Life Sciences

Sector:

Education

University:

The University of British Columbia

Program:

Globalink Research Award

Numerical Study of Fluid Flow and Phase Behaviour of Tight Geothermal Reservoir

This research proposes a systematic workflow, which utilizes theoretical approaches to identify the complex fluid flow mechanisms and quantify the phase behaviour of confined fluids for geothermal reservoirs. Due to the complexity of tight geothermal reservoirs, conventional EOS cannot be efficiently applied since it does not take into account the interactions between molecules-molecules (m-m) and molecules-walls (m-w), which will be physically initiated when frequent collisions occur between fluids passing through tiny channels in porous media. Also, the critical points of fluids at nanopores are significantly shifted due to the confinement effect. Currently, the critical point for confined fluid is either described using the van der Waals (vdW) mean-field model with Lennard-Jones (LJ) potential or by density functional theory. The new theoretical models for determining critical point temperature and pressure will be established and further incorporated into the EOS to complete the phase equilibrium calculation for the confined fluids.

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Faculty Supervisor:

Na Jenna Jia

Student:

Partner:

Southwest Petroleum University

Discipline:

Life Sciences

Sector:

Green/Alternative Energy; Energy and Utilities; Sustainability & the Environment

University:

University of Regina

Program:

Globalink Research Award

Development of soil quality guidelines for use in health risk assessments of contaminated pipeline compressor station sites

Intrinsik has identified a number of key chemical-pathway combinations that are missing environmental quality guidelines but frequently required for evaluating risks at pipeline compressor stations. With support from senior scientific personnel at Intrinsik, the intern will used environmental risk assessments methods to develop risk-based environmental quality guidelines that are relevant to the land use scenario(s) typical of pipeline compressor stations. The intern will benefit from this topical research project through the completion of the three objectives that will require the application of current risk assessment methods. Further, the intern will have the opportunity to gain valuable work experience in a fast-paced environmental field with experienced industry professionals. As the partner organization, Intrinsik will benefit through the development of soil quality guidelines for a set of chemical-pathway combinations that currently do not exist for land use scenarios like those applicable to pipeline compressor stations.

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Faculty Supervisor:

Roberta Fulthorpe

Student:

Partner:

Intrinsik Environmental Sciences Inc

Discipline:

Physics

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Who speaks for the trees? A collaborative, Indigenous-informed exploration of the environmental and well-being co-benefits of connecting with forest ecosystems.

The Lheidli T’enneh Health Center is partnering with Melissa Bates, a UNBC graduate student, and Dr. Margot Parkes, a UNBC associate professor in the School of Health Sciences, to explore how connections to the environment are good for the community and the land, from the perspective of Lheidli T’enneh community members. This includes supporting land-based healing activities and initiatives that the Lheidli T’enneh Health Center is already engaged with, forming and running a Community Advisory Group that will guide the research project and writing a masters-level thesis. The design of this community-based participatory research project is grounded in the strengths that come from Lheidli T’enneh connection to culture, land, and knowledge.

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Faculty Supervisor:

Margot Parkes

Student:

Partner:

Lheidli T’enneh Nation

Discipline:

Sociology

Sector:

Public administration

University:

University of Northern British Columbia

Program:

Accelerate

Coarse Collaborative Simultaneous Localization and Mapping

This project in collaboration with Oxford University focuses on improving how robots work together through coarse Collaborative Simultaneous Localization and Mapping (SLAM). SLAM technology is crucial for autonomous navigation, allowing robots to map and understand their surroundings while providing real-time localization estimates. The coarse approach we aim to develop would simplify how robots map their environment and obtain shared localization, enabling them to collaborate more efficiently in large groups using less computational and communication resources. By developing a broader, more generalizable method of localization, our goal is to enhance the use of robotic teams in diverse applications, such as search and rescue, space exploration, and urban development. This research promises to make advanced robot localization more practical and accessible in multi-robot systems.

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Faculty Supervisor:

Giovanni Beltrame

Student:

Partner:

University of Oxford

Discipline:

Engineering

Sector:

Artificial Intelligence; Information and Communications Technology

University:

Polytechnique Montréal

Program:

Globalink Research Award

Biofertilisants à base de résidus organiques en Abitibi-Témiscamingue

Une quantité importante de matières organiques résiduelles, issues de diverses sources telles que
l’agriculture, l’industrie agroalimentaire, et d’autres secteurs, est générée dans la région d’Abitibi-
Témiscamingue. La valorisation de ces déchets au sein des processus de production favorise l’intégration de
l’économie circulaire, visant à rendre les processus industriels durables et respectueux de l’environnement.
La réutilisation des matières résiduelles, notamment sous forme de fertilisants organiques, suscite un intérêt
croissant. En effet, ces dernières contiennent des nutriments précieux qui peuvent assurer la fertilisation des
sols agricoles et, par conséquent, améliorer la production des cultures, à condition d’être gérées de manière
adéquate. Cependant, une enquête approfondie est nécessaire pour optimiser leur utilisation. Dans cette
optique, notre projet vise à développer des biofertilisants à base de matières résiduelles organiques et à
réaliser une enquête exhaustive sur la valorisation de ces biofertilisants organiques produits à partir de
matières résiduelles dans la région d’Abitibi-Témiscamingue. Notre objectif englobe également la valorisation
du lactosérum et des résidus de l’industrie forestière, la collecte de données relatives à l’évaluation des
pratiques actuelles des agriculteurs en matière de fertilisation, la récolte d’informations sur leur intérêt envers
les fertilisants organiques dérivés de matières résiduelles, et la proposition de recommandations pour les
encourager à développer leurs propres unités de production d’engrais organiques.

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Faculty Supervisor:

Ahmed Koubaa

Student:

Partner:

Société D'Aide Au Développement Des Collectivités d'Abitibi-Ouest

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Université du Québec en Abitibi-Témiscamingue

Program:

Accelerate

Circulating micro-RNAs associated to the aerobic exercise cardiovascular benefits during pregnancy

Physical activity during pregnancy has been related to benefits for both, mother and fetus, mainly by improving cardiovascular health. However, molecular mechanisms involved in these adaptations are not fully described. Micro-RNAs (miRNAs) are noncoding-RNAs which may influence gene expression. miRNAs levels are altered in response to nutrition and lifestyle interventions, including exercise. Some miRNAs are related to cardiovascular health and have been established as markers of health and disease. Nevertheless, there is a gap of knowledge regarding the impact of physical activity in miRNAs and its relationship with cardiovascular health during pregnancy. The aim of this project is to determine the association between miRNAs and the benefits of aerobic exercise on cardiovascular health during pregnancy. We expect to find an association between changes in miRNAs levels such as miR-21, miR-146b-5p, miR-210, miR222, and miR517-5p, and maternal cardiovascular health in women who exercise during pregnancy.

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Faculty Supervisor:

Margie Davenport

Student:

Partner:

Universidad de O'Higgins

Discipline:

Life Sciences

Sector:

Education

University:

University of Alberta

Program:

Globalink Research Award

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