Projets novateurs réalisés

Explorez des milliers de projets réussis issus de la collaboration entre organisations et talents postsecondaires.

31 914 projets complétés

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5256
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878
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703
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913
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9488
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9949
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98
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629
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1215
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Projets par catégorie

Electric Vehicles (EVs) Impact on Labour Market and Independent Retail Gasoline Dealers and Auto Service & Repair Industry

This research project involves the evaluation of scholarly journal articles, a series of interviews to anticipate the impending effects that electric vehicles will have on the Nova Scotian automobile sector. This project is in partnership with the Automotive Sector Council of Nova Scotia, a non-profit organization, to provide usable data for long term planning and adaptation of the sub-markets to service electric vehicles. This research will focus on highlighting effects to oil/gas companies, repair service companies and part suppliers. ASC will benefit from having greater awareness of the current market landscape and its expected evolution, this will better enable judgments on development of infrastructure and planning. Hudson will be handling the review of articles to source information, from this information he will work alongside the ASC contact to create a series of interview questions which will later be posed to 15 interview participants. The project will result in a presentation for the ASC team to share with the sector and academic journal publication by the researchers.

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Superviseur du corps professoral :

Heidi Weigand

Étudiant :

Partenaire :

Automotive Sector Council

Discipline :

Business

Secteur :

Automotive

Université :

Dalhousie University

Programme :

Accelerate

Vehicle Re-identification using Computer Vision and Machine Learning

This work aims to design and develop an efficient visual based vehicle re-identification system for International Road Dynamic. Vehicle re-identification, which is defined as: Identifying, classifying, and position-referencing a vehicle of interest through images/video streams collected via a network of camera stations, plays a key role towards developing intelligent transportation system.

Voir la description complète du projet
Superviseur du corps professoral :

Mehran Mehrandezh;Abdul Bais

Étudiant :

Partenaire :

International Road Dynamics

Discipline :

Engineering

Secteur :

Manufacturing; Transportation and warehousing

Université :

University of Regina

Programme :

Accelerate

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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Superviseur du corps professoral :

Parisa Mehrkhodavandi;Derek Gates

Étudiant :

Partenaire :

Sixone Labs Ltd.

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

The University of British Columbia

Programme :

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.

Voir la description complète du projet
Superviseur du corps professoral :

Marie-Josée Drapeau;Étienne St-Jean

Étudiant :

Partenaire :

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

Discipline :

Business

Secteur :

Other services (except public administration)

Université :

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

Programme :

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.

Voir la description complète du projet
Superviseur du corps professoral :

Poul Sorensen

Étudiant :

Partenaire :

Team Finn Foundation;BC Cancer Agency

Discipline :

Life Sciences

Secteur :

Other services (except public administration)

Université :

The University of British Columbia

Programme :

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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Superviseur du corps professoral :

Milad Lankarany;Milos Popovic

Étudiant :

Partenaire :

Vee Canada Inc

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

University of Toronto

Programme :

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.

Voir la description complète du projet
Superviseur du corps professoral :

Jacques Langevin;Michel Desmarais;Chahé Nerguizian

Étudiant :

Partenaire :

Eduplan Solutions

Discipline :

Computer science

Secteur :

Information and cultural industries

Université :

Université de Montréal

Programme :

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.

Voir la description complète du projet
Superviseur du corps professoral :

Éric Samarut

Étudiant :

Partenaire :

Valence Discovery Inc;Modelis inc.

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

Université de Montréal

Programme :

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.

Voir la description complète du projet
Superviseur du corps professoral :

Penny Pexman

Étudiant :

Partenaire :

Calgary Reads

Discipline :

Sociology

Secteur :

Education

Université :

University of Calgary

Programme :

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.

Voir la description complète du projet
Superviseur du corps professoral :

Aurelian Vadean;Jinghui Cheng

Étudiant :

Partenaire :

DesignBot Inc.

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

Polytechnique Montréal

Programme :

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.

Voir la description complète du projet
Superviseur du corps professoral :

Fabien Touzot

Étudiant :

Partenaire :

Université Catholique de Louvain

Discipline :

Life Sciences

Secteur :

Education

Université :

Université de Montréal

Programme :

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.

Voir la description complète du projet
Superviseur du corps professoral :

Joe Schmidt

Étudiant :

Partenaire :

FFUN Motor Group

Discipline :

Business

Secteur :

Retail trade

Université :

University of Saskatchewan

Programme :

Business Strategy Internship