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

Credit Scoring Using Alternate Data

The objective of this internship is to develop a Retail Credit Risk Scoring Model utilizing different alternate data sources and this model can give a credit score for people who has limited credit footprint. The intern will work on checking alternate data sources availability, Data Preparation, Feature selection, Evaluating models, tuning the model and documentations. This research project also involves several machine learning and deep learning techniques, like XG Boost, Random forest and Recurrent Neural networks. This project will help ICICI Bank in expanding its credit penetration, especially through Digital channels. It can also provide more timely information and improve assessments of creditworthiness for ICICI bank’s customers.

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Faculty Supervisor:

Andrei Badescu;Sheldon Lin

Student:

Partner:

ICICI Bank Canada

Discipline:

Computer science

Sector:

Finance and Insurance

University:

University of Toronto

Program:

Accelerate

The influence of axial substituent on the photoluminescence of boron subphthalocyanines

Canadian public and private researchers have taken an interest in a new class of light-emitting materials, subphthalocyanines, which can produce better colour in OLED smartphone and television screens. The materials can be optimized for specific purposes by using slightly different ingredients in their synthesis, or by reacting them with other ingredients after synthesis, but most of the variants studied so far have not had the additional step of further reaction taken. This has left a blind spot in potential methods to optimize the materials, which this internship will fill in. This project will produce a large variety of subphthalocyanines which have undergone further reactions, and measure their performance using a rapid-analysis method developed through a previous MITACs internship.

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Faculty Supervisor:

Timothy Bender

Student:

Partner:

Amber Molecular Inc.

Discipline:

Physics

Sector:

Manufacturing

University:

University of Toronto

Program:

Accelerate

Islamophobia and anti-Muslim Racism: Lived Experience of Canadian Muslim Youth in Calgary

The University of Calgary and the Islamic Circle of North America (ICNA) Calgary will collaborate to better understand Islamophobia and anti-Muslim racism. This is the most pressing challenge of the present time, and it has implications for the positive youth development and the well-being of Canadian society. The project will engage the Canadian Muslim youth to better understand their feelings and perspectives about Islamophobia and anti-Muslim racism. An advisory will be constituted to ensure the participation of diverse communities among Muslims. The photovoice method will be used to demonstrate the perspectives of Muslims. Outcomes of the project include a community report, an art exhibition, and a research Hub on Islamophobia for ICNA Calgary. Findings from the study will be shared with broader audiences through outreach programs, conferences, forums, etc.

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Faculty Supervisor:

Aamir Jamal

Student:

Partner:

ICNA - Canada (Calgary)

Discipline:

Sociology

Sector:

Other services (except public administration)

University:

University of Calgary

Program:

Accelerate

Developing a better understanding of ski usage through in-use data collection and appropriate testbed

Sooth measure and publish since 2021 the most important properties of skis to improve the customer shopping
experience. The response of experienced skiers has been generally highly positive. Skiers enjoy being able to
compare products with real measurements, and many find that they can relate their on-snow experience to these
measurements relatively easily. Two main requests have been formulated by skiers. First, many would like Sooth
to measure the detailed mass properties as well as the ski vibration response. Skiers would also like Sooth to
offer more direct recommendations. This project has thus two main objectives. The first objective is to develop
tools to easily measure additional ski’s characteristics that are not currently measured by Sooth. The second
objective is to develop tools that will help Sooth easily assess skiers quantifiably to provide better product
recommendations.

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Faculty Supervisor:

Alexis Lussier Desbiens

Student:

Partner:

Sélecteur Sooth Inc.

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Université de Sherbrooke

Program:

Accelerate

Étude sur l’effet de la restriction thérapeutique des glucides sur le renversement du diabète de type 2 dans un contexte végétalien

Lorsqu’une personne reçoit un diagnostic de diabète de type 2, elle rentre chez-elle, perdue et effrayée et se réfère aux histoires les plus négatives trouvées sur internet à propos de son diagnostic. Notre système de santé surmené laisse peu de temps aux professionnels épuisés pour informer les patients de manière optimale sur leur nouvelle réalité et sur les différentes possibilités de traitements offertes.
Et si, dès l’annonce d’un diagnostic de Db2, le patient était informé que des changements simples dans son alimentation pouvaient non seulement aider à la gestion de sa glycémie, mais, qui plus est, pourraient l’aider à rebrousser le chemin vers la nature «?chronique et progressive?» du Db2 et marcher vers la santé. Ces changements, dynamisés par un logiciel de surveillance à distance pour le médecin relié à notre appareil diagnostic non invasif, permettent de suivre l’évolution de plusieurs marqueurs métaboliques sans piqure ni inconfort. Nos technologies offrent le potentiel d’optimiser les plans de soins individuels, de mettre en œuvre des soins à distance comprenant la surveillance, les interventions personnalisées et les suivis professionnels.
Dans le cadre de ce projet, la stagiaire aura comme objectif d’intégrer et valider la technologie STEP de BloomedIn™ dans le cadre d’une intervention nutritionnelle visant une amélioration du Db2 par le biais d’une restriction thérapeutique des glucides végétalienne comparativement à sa version omnivore. Les résultats de ces travaux permettront à la fois d’ajuster le traitement à distance et ainsi favoriser une autogestion efficace des patients.

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Faculty Supervisor:

André Marette

Student:

Partner:

BloomedIn

Discipline:

Life Sciences

Sector:

Manufacturing

University:

Université Laval

Program:

Accelerate

The use of a fast platform to design and develop anti-SARS-CoV-2 peptides for a therapeutic intervention of COVID-19

In this project, we are evaluating the use of an alternative mode of communication between proteins to design peptides with therapeutic potentials. Proteins generally interact with one another to realize their functions. They do this through physical interactions. It has recently been discovered that some proteins interact via a non-classical manner and using small stretches of amino acids. As a proof of concept, we showed that this approach can be used to make peptides against yeast proteins. The ability of this method to design peptides against pharmaceutically important targets requires further investigations. Here, we plan to use the proposed approach to design peptides that can interrupt protein communications that are important to human health. As a case study we propose to design peptides that can interrupt the communication between the SARS-CoV-2 virus, the causative agent of COVID-19 and the human host cell.

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Faculty Supervisor:

Ashkan Golshani

Student:

Partner:

Turnstone Biologics

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

Carleton University

Program:

Accelerate

Étude comparative de la fiabilité entre le pénétromètre dynamique léger à énergie variable et le nucléodensimètre pour le contrôle de la compaction des matériaux granulaires en chantier

La qualité et la durabilité des ouvrages de génie civil est fortement influencé par la densification des couches de matériaux. Le contrôle est typiquement effectué par un outil appelé le nucléodensimètre, qui comporte plusieurs inconvénients, notamment l’utilisation d’une source radioactive. D’autres techniques sont disponibles, notamment celles permettant l’enfoncement d’une tige normalisée par battage pour juger de la qualité de la densification et de sa variabilité. Ces techniques sont utilisées avec succès dans d’autres pays ou par administrations, mais leur utilisation et normalisation au Canada doivent être implantées. L’objectif de la recherche est de faire une étude comparative détaillée entre les méthodes actuellement utilisées et d’autres techniques alternatives, notamment les essais d’enfoncement de tiges par battage, afin de développer les connaissances nécessaires à l’implantation de nouvelles techniques de contrôle et d’initier une révision des normes utilisées.

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Faculty Supervisor:

Jean-Pascal Bilodeau

Student:

Partner:

Services-conseils Aqua-Ingenium Inc

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Université Laval

Program:

Accelerate

Amplifying youth voices: A qualitative investigation of Raising the Grade

Raising the Grade is an innovative after-school program launched last year by the Boys and Girls Clubs of Canada (BGCC) in 35 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 enrol in post-secondary education. The proposed internship is part of a long-term developmental, formative evaluation of Raising the Grade currently conducted by the Social Research and Demonstration Corporation (SRDC). Renewal of the present internship will enhance the evaluation in a number of meaningful ways. Firstly, it will utilize an innovative, multimedia data collection platform to capture youths’ perspectives and amplify youth voices through online focus groups and discussion forums. The methods used here align well with Raising the Grade’s focus on digital literacy and participatory action research, and will provide valuable, much needed information from the youth participants. It will also enable youth to provide rapid, detailed, and nuanced information about their experiences in the program, supporting the participatory approach used for the program and its evaluation. TOBECONT’D

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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

Intégration de système de distribution PTDC dans une plateforme transactionnelle

Dans ce projet, nous proposons la simulation et l’intégration de système de distribution pour le système transactionnel afin d’apprendre et tester les différents algorithmes et approches de coordination et de contrôle décentralisés sur les échanges entre les agents, comprendre les contraintes techniques et les bloqueurs, et définir les enjeux d’intégration des RED dans le réseau de distribution. Dans un premier temps, la plateforme PTDC et celle du transactionnel au niveau du client seront analysées et des stratégies et algorithmes pour la coordination et la gestion transactionnelle seront proposés. Ensuite, ces algorithmes et stratégies seront étendus aux différents niveaux hiérarchiques du réseau depuis le client au poste de distribution.

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Faculty Supervisor:

Innocent Kamwa

Student:

Partner:

Hydro-Quebec

Discipline:

Engineering

Sector:

Professional, scientific and technical services; Utilities

University:

Université Laval

Program:

Accelerate

Fuzzy Entity Matching

Entity (person or company) matching is an advanced analytics feature used to link entities together by identifying them as being the same entity or closely related entities. This is a powerful feature to augment investigations with additional entities that may be involved in a suspicious case. The goal is to uncover key features that can be used to link entities and develop machine learning frameworks and underlying pipelines to match similar entities.

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Faculty Supervisor:

Ioannis Mitliagkas

Student:

Partner:

Jumio

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Université de Montréal

Program:

Accelerate

Greener Extraction and Optimization of Properties of Alginate-based Bioplastics and Hydrogels for 3D Printing

Seaweeds naturally produce polymers that hold great potential as a building block for bioplastics, which has been piloted globally but still nascent in Canada. This project establishes a partnership between Bioform Solutions Inc. and the University of Victoria Green Safe Water Lab, to develop a seeds-to-solution protocol for converting kelp into higher value bioplastics. The key molecule, alginate, varies in composition depending on the species of kelp. This means that to develop a process appropriate for Canada’s Pacific Coast, we must understand the composition of alginate in local kelp and kelp species that are readily cultivated in our waters by partners such as Kelp Blue and Canadian Pacifico Seaweeds. We will then correlate this information to the types of bioplastics that will be most suitable to manufacture Using a 3D extrusion printing technology developed at Bioform. This work will take place in three stages: extraction of sodium alginate, analysis and recommendations, and developing industrial processes to enhance chemical recovery and composition of the most promising materials. This local innovation will benefit small-scale, Canadian aquaculture, often in remote locations, and provide a secure, sustainable path forward in Canadian materials manufacturing.

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Faculty Supervisor:

Heather Buckley

Student:

Partner:

Bioform Technologies Inc

Discipline:

Physics

Sector:

Manufacturing

University:

University of Victoria

Program:

Accelerate

Improving statistical literacy and accessibility of big data using dimension reduction

Information and data are more accessible and abundant than ever before, but this presents challenges in the face of rising misinformation and mistrust in science. Large-scale datasets or “big data” is particularly suited to a set of statistical analyses called dimension reduction techniques that can reduce the complexity of a dataset while preserving its information, but these analyses are currently difficult and costly for the average citizen to learn and implement. This project aims integrate dimension reduction techniques into an online platform that individuals can use to automatically run and visualize these analyses to answer questions in large, publicly available datasets. The platform will output the results using plain language and visualizations rather than test statistics to help users better understand and interpret the results. This will make analysis and exploration of big datasets more accessible, tracking with the increasing general availability of such data, and it will promote statistical literacy in the general population.

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Faculty Supervisor:

Brian Levine

Student:

Partner:

Dacture

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

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