Innovative Projects Realized

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

29670 Completed Projects

2811
AB
4990
BC
801
MB
663
NL
825
SK
8841
ON
9197
QC
95
PE
568
NB
1088
NS

Projects by Category

Influence of Chemical Dyes on Polyethylene Terephthalate Polymerization

This project seeks to examine how impurities affect the polymerization kinetics of recycled polyester monomers. The textile industry used over 50 million tons of polyester fibers made from polyethylene terephthalate (PET) annually.1 Because polyester fibers are slow to degrade, waste textiles have accumulated in landfill and natural environments, causing near-permanent land contamination.2 The ability to recycle polyester fibers is, therefore, essential to the responsible use of textiles and environment stewardship. While the technology for turning the polyesters back to the starting monomers is well documented, it is unclear whether the impurities formed during the recycling affects the polyester’s re-usability, i.e., whether the monomers are re-polymerizable. This project aims to address this open question—can the chemically recycled polyester monomers be polymerized in the same way as the petroleum-derived polyester monomers. To address this knowledge gap, we will examine how the presence of dyes and related additives affect the polymerization. We will quantify the polymerization kinetics using the viscosity analysis and gel-permeation chromatography (GPC). Then, we will characterize the side products to understand how the dyes and additives interfere with polymerization using nuclear magnetic resonance (NMR).

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Faculty Supervisor:

Parisa Mehrkhodavandi;Derek Gates

Student:

Partner:

Sixone Labs Ltd.

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

The University of British Columbia

Program:

Accelerate

Transformation du monde des affaires après une crise majeure: Enjeux de la transfert et de relève d’entreprise

Le Regroupement des jeunes chambres de commerce du Québec (RJCCQ) et Raymond Chabot Grant Thornton (RCGT) constatent que certains entrepreneurs dans les PME sont démunis en cette période pandémique et cherchent des moyens « rapides » de transférer leur entreprise à une relève qu’ils ont de la difficulté à identifier. Cette étude s’intéresse aux entrepreneurs sortants (les cédants) et aux repreneurs et à leurs perceptions face aux options de transmettre-reprendre une PME. Elle vise à 1) prendre le pouls des cédant et des repreneurs potentiels afin de dégager les modèles à privilégier dans le cadre d’une transmission-reprise et 2) fournir des connaissances plus approfondies sur les modèles envisagés. Les partenaires de cette étude désirent se doter d’informations fiables pour accompagner les entrepreneurs dans leurs démarches de transmission-reprise.

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Faculty Supervisor:

Marie-Josée Drapeau;Étienne St-Jean

Student:

Partner:

Regroupement des jeunes chambres de commerce du Québec;Raymond Chabot Grant Thornton

Discipline:

Business

Sector:

Other services (except public administration)

University:

Université du Québec à Chicoutimi; Université du Québec à Trois-Rivières

Program:

Accelerate

Investigation into the role of YB-1 in childhood sarcomas

Metastatic tumors are a major concern in childhood cancer and the single most prominent cause of patient mortality. Metastasis is a complex process involving several cellular processes, each of which involves numerous extra and intracellular events. Therapeutic targeting strategies are hampered by a large degree of redundancy in the systems controlling metastatic behaviour and by the lack of specific markers associated with tumor dissemination. Identifying markers that distinguish the metastatic cancer cell from benign or healthy tissue would revolutionize current therapy and greatly improve the outcome for patients battling childhood cancer. This internship study will investigate potential tool(s) for diagnosing and possibly treating high-risk pediatric malignancies.

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Faculty Supervisor:

Poul Sorensen

Student:

Partner:

Team Finn Foundation;BC Cancer Agency

Discipline:

Life Sciences

Sector:

Other services (except public administration)

University:

The University of British Columbia

Program:

Accelerate

Development of Smart Furnitures Using Non-Contact ECG Textile Sensors

In collaboration with Vee Canada Inc and Sona College of Technology and Vee Technologies in India, we propose to create a noncontact Electrocardiography (ECG) monitoring system embedded into different furniture such as a bed and chair for fully sensing and processing human heart activity using textile-based sensors and machine learning modules. The project’s ultimate goal is to continuously track human heart activity, i.e., to measure ECG signals. Furthermore, a pressure sensor mat will be used to follow the seating activity for further processing. This system targets sensing and processing specific electrophysiological signals, namely, ECG and seating activity with a pressure mat.

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Faculty Supervisor:

Milad Lankarany;Milos Popovic

Student:

Partner:

Vee Canada Inc

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Modèle d’interface ergonomique et accessible aux apprenants ayant des limitations cognitives.

La planification et l’implantation des interventions auprès d’un apprenant (enfants, jeune et adulte) ayant des limitations cognitives s’articule autour d’un processus d’évaluation qui permet de déterminer son profil . Divers outils de collecte de données (outils d’éva luation) dont des instruments de mesure, des outils d’observation, des inventaires, des questionnaires et des tests (normatifs ou critériés) sont normalement utilisés pour dé terminer le profil de l’apprenant. Or, la majorité de ces instruments ne sont pas acces sibles aux apprenants susceptibles d’éprouver des limitations cognitives. Le présent projet a pour objet de créer un modèle d’interface ergonomique et accessible à ces apprenants. En résumé, le projet actuel s’avère être une innovation radicale car il géné rera la recherche nécessaire au développement du modèle qui établira un nouveau de sign, un nouvel ensemble de concepts et une nouvelle architecture générique qui, sera en soit un outil pouvant être utilisé par d’autres et dans divers contextes d’innovation.

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Faculty Supervisor:

Jacques Langevin;Michel Desmarais;Chahé Nerguizian

Student:

Partner:

Eduplan Solutions

Discipline:

Computer science

Sector:

Information and cultural industries

University:

Université de Montréal

Program:

Accelerate

Coupling machine learning and in vivo screening for identifying novel therapeutics for Spinal Muscular Atrophy

Therapeutic development is a long and laborious process, very expensive and risky. The high costs are linked to the high risk of failure and there is therefore a need to develop new tools and new approaches that can accelerate and de-risk these processes.
The development of digital technologies brings enormous potential to traditional therapeutic development processes. In particular, deep learning opens up an unprecedented possibility for quickly and efficiently identifying compounds with high therapeutic potential. Combined with high throughput preclinical in vivo testing, the potential of these digital approaches can be harnessed and thus offer a new way to identify therapeutic candidates from an unlimited repertoire of molecules.
By combining the expertise of two emerging Quebec companies, Valence Discovery and Modelis, this project will identify small candidate molecules against a rare neuromuscular disease: spinal muscular atrophy. This proof of concept could be extended
to the entire portfolio of each company and thus further increase Quebec’s competitiveness in the field of health sciences.

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Faculty Supervisor:

Éric Samarut

Student:

Partner:

Valence Discovery Inc;Modelis inc.

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

Université de Montréal

Program:

Accelerate

Mobilizing the science of language and reading for volunteer tutors and parents

Calgary Reads is a not-for-profit community literacy organization that seeks to improve children’s lives by helping them become confident, joyful readers. The role of the intern is to create two knowledge mobilization products to share the science of reading with volunteers, parents, teachers, and other collaborators. Calgary Reads facilitated delivery of a tutoring program for 20 years. However, the program needs to be updated in the science of reading and available as a deliverable for training of volunteers both in person and online. The volunteer tutoring program can help alleviate the strain placed on teachers to provide individual instruction to struggling readers especially for practice and rote tasks that are needed on a consistent and regular basis, especially in the face of education losses due to COVID-19 school absences. As well, the intern will collaborate to create a video for parents to describe the science of reading and how children learn to read. The Science of Reading (SOR) is not a methodology or a specific system. It is everything that is known about reading, including how it should be taught.

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Faculty Supervisor:

Penny Pexman

Student:

Partner:

Calgary Reads

Discipline:

Sociology

Sector:

Education

University:

University of Calgary

Program:

Accelerate

Harmonization of the engineering design and evolutionary computation

The research project aims at integrating artificial intelligence (AI) into a user interface (UI) in the context of engineering design. Based on this context, the AI-aided UI of the CAD software will actively return hints and advice on missing parts of the product and/or what will be the next steps of the design. Such a tool will reduce human-related errors, like unwanted redundancy or a forgotten component, problems that are generally identified later in the design process. Errors in the design process force engineers to go through additional iterations of the product design, increasing the time and cost of the product development. An AI-aided CAD software means less time is spent in each iteration phase, saving both costs and time.

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Faculty Supervisor:

Aurelian Vadean;Jinghui Cheng

Student:

Partner:

DesignBot Inc.

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Polytechnique Montréal

Program:

Accelerate

Modélisation de mutations mendéliennes de RIPK1 par prime editing

Le projet étudiera par une modélisation par prime-editing dans une lignée marcophagique des anomalies génétiques d’une protéine régulant la destinée cellulaire entre réponse inflammatoire et mort cellulaire. La compréhension des mécanismes régulant ces deux phénomènes antagonistes devrait permettre le développement de thérapies ciblées dans les domaines de la cancérologie et de l’inflammation.

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Faculty Supervisor:

Fabien Touzot

Student:

Partner:

Université Catholique de Louvain

Discipline:

Life Sciences

Sector:

Education

University:

Université de Montréal

Program:

Globalink Research Award

FFUN – Orientation

Trying to elevate the growing struggles of labour shortage by focusing on trying to retain newly hired employees. Looking at how employers can properly onboard employees and ensure they are fully exposed to the organizations culture as quickly as possible. This will create a bond with the organization and increase the likelihood of retaining top talent.

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Faculty Supervisor:

Joe Schmidt

Student:

Partner:

FFUN Motor Group

Discipline:

Business

Sector:

Retail trade

University:

University of Saskatchewan

Program:

Business Strategy Internship

Design and fabrication of a wearable device (Watch HOP) for critical care, surgery and chronic disease monitoring

Diabetes is a chronic, metabolic disease characterized by elevated levels of blood glucose, which leads to serious damage to the heart, blood vessels, eyes, kidneys and nerves over time. It is estimated that around 10% of Canadians have diabetes, which is 1 of the 10 leading causes of death globally. While diabetes is highly prevalent, it is also seriously undiagnosed and mismanaged since only 50% of people with diabetes are aware that they have the condition.
Diabetes can be diagnosed using serum glucose measurement, hemoglobin A1c (HbA1c), fasting glucose, and/or oral glucose tolerance testing, which are invasive protocols that require blood drawing and are mostly limited to point-of-care clinical visits. Moreover, to date there is no way of assessing daily or weekly progression of the condition and efficacy of the assigned treatment. In recent years, wearable devices have gained great interest in the medical industry and academic community due to their ability to collect data in order to create algorithms that may be used to predict health outcomes and facilitate the detection and monitoring of chronic diseases such as diabetes.

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Faculty Supervisor:

Kosar Khwaja

Student:

Partner:

HOP Technologies

Discipline:

Engineering

Sector:

Manufacturing; Professional, scientific and technical services

University:

Research Institute of the McGill University Health Centre

Program:

Accelerate

Advanced Aluminium Alloy Twin Roll Casting Lubricant

The proposed project aims at developing a new type of lubricant to be used for twin-roll casting with the advantage of providing a better flexibility for the choice of aluminum alloys currently used in twin-roll casting. The biggest advantage is to reduce the energy demand as the liquid aluminum alloy can be directly processed at high speed by twin roll casting without the necessity of a reheat cycle. Another objective of the proposed project is to provide a higher heat transfer to the liquid aluminium twin-rolled casted associated to a more uniform controlled grain growth to provide a high mechanical strength after processing.

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Faculty Supervisor:

François Gitzhofer

Student:

Partner:

Produits Industriels de Haute Temperature Pyrotek Inc

Discipline:

Engineering

Sector:

Manufacturing

University:

Université de Sherbrooke

Program:

Accelerate

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