Projets novateurs réalisés

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

30 508 projets complétés

2882
AB
5105
C.-B.
825
MB
681
NL
860
SK
9051
ON
9491
QC
97
PE
586
NB
1141
NS

Projets par catégorie

Developing Alternative Career Decision-Support Tool for Internationally Educated Health Professionals

Internationally Educated Health Professionals (IEHPs), are those who completed their health professional degree (e.g., nursing, MD, etc.) from outside Canada. Many of the IEHPs, however, cannot integrate into their ideal career i.e., nurse, physician, etc. and remain underemployed in non-skilled jobs. The low rate of success in obtaining their respective career in Canada leaves no choice but to explore alternative career options. A lack of information and strategic support, lack of job counseling and coaching opportunities for IEHPs further obstruct their pursuit of alternative careers. To address the issues to the integration of IEHPs through alternative careers we propose this project to develop a decision-support tool for IEHPs to facilitate their pursuit of alternative career. The tool will suggest a short-list of jobs filtering from estimated 150-200 potential alternative jobs to an IEHP based on their personal preference and constraints, transferable skills, and the job requirements by the employers.

Voir la description complète du projet
Superviseur du corps professoral :

Tanvir Turin Chowdhury

Étudiant :

Partenaire :

Alberta International Medical Graduates Association

Discipline :

Sociology

Secteur :

Education

Université :

University of Calgary

Programme :

Accelerate

Acceptabilité, utilisabilité et efficacité de robot de télé-présence pour atténuer les effets de l’isolement social chez les personnes âgées

Les mesures barrières recommandées par la santé publique pour limiter la propagation de la COVID-19 impliquent confinement et distanciation sociale; ce qui accentue l’isolement et la sédentarité des personnes âgées. En situation de confinement, les personnes âgées sont isolées et déconnectées de leurs liens sociaux habituels. Cet isolement social a un impact important sur la participation sociale et la qualité de vie des aînés. Ce projet vise à (1) évaluer l’acceptabilité et l’utilisabilité de robot de télé-présence et (2) étudier l’efficacité potentielle de l’utilisation de telles technologies pour limiter les effets de l’isolement chez les personnes âgées. Ce projet sera mené en partenariat avec l’entreprise Alaviva et avec la collaboration de trois résidences pour aînés (RPA) de la région de Québec-Capitale nationale. Des personnes âgées volontaires, recrutées au sein de ces RPA avec l’aide des coordonnateurs de loisir, participeront à différentes expérimentations visant à documenter les avantages et les limites de l’utilisation de robots de télé-présence, ainsi que les facilitateurs et les potentielles barrières à leur implantation dans les RPA au Québec, en période de pandémie et bien au-delà.

Voir la description complète du projet
Superviseur du corps professoral :

Charles Sèbiyo Batcho

Étudiant :

Partenaire :

Maelström créatif inc

Discipline :

Sociology

Secteur :

Information and cultural industries

Université :

Université Laval

Programme :

Accelerate

Caractérisation diélectrique des sols pour le suive de la neige par radar

Une mission satellitaire lancée en collaboration par l’Agence Spatiale Canadienne et Environnement et changements climatique Canada projette d’envoyer un satellite muni d’un radar à ouverture synthétique en bande Ku en orbite dans les prochaines années. L’objectif de cette mission est d’effectuer le suivi de la neige dans l’Hémisphère nord en utilisant la télédétection radar. Le paramètre principal de la neige qui sera suivit est l’équivalente en eau, c’est-à-dire la quantité d’eau obtenue lors de la fonte d’un volume de neige. Une forte sensibilité à ce paramètre a été observé dans les données de radars en bande Ku obtenues dans des études précédentes. Par contre, le signal radar est aussi impacté par les conditions du sol sous la neige qui peuvent bruiter le signal. Le sol crée ainsi des incertitudes lors de la mesure de l’équivalent d’eau de la neige. Le projet proposé a donc pour but de développer une sonde diélectrique afin de caractériser les paramètres du sol qui pourraient impacter le signal radar en hiver. Une partie de ces mesures pourra être effectué en collaboration avec François Demontoux dans le cadre du stage proposé.

Voir la description complète du projet
Superviseur du corps professoral :

Alexandre Roy;Alexandre Langlois

Étudiant :

Partenaire :

Université de Bordeaux

Discipline :

Physics

Secteur :

Information and Communications Technology; Technology

Université :

Université du Québec à Trois-Rivières

Programme :

Globalink Research Award

Safe Unmanned Traffic Management (SafeUTM)

Unmanned Air Vehicles (UAVs) became ubiquitous in our everyday civilian lives for both recreational activities, such as sports, as well as film and photography. They have also been used in several military operations such as tactical reconnaissance. The prediction of a near future where drones will be used frequently for search and rescue, package delivery and, in larger scale urban mobility, has drawn the attention of regulatory bodies to the need of new regulations for safe Unmanned Air Traffic Management (UTM). This research proposes a set of software solutions for the safe operation of drones in urban, rural, and remote areas. The research focuses on the development of novel sense and avoid algorithms. These algorithms will be part of SafeUTM, which is a platform under development by Savinte that will create a safe operation of drone traffic in accordance with the regulations for Remotely Piloted Aircraft Systems (RPAS). The proposed solutions will enhance the safety of automatic, semi-automatic, and manual operation of drones.

Voir la description complète du projet
Superviseur du corps professoral :

Luis Rodrigues

Étudiant :

Partenaire :

Savinte

Discipline :

Engineering

Secteur :

Manufacturing

Université :

Concordia University

Programme :

Accelerate

Expanded Assessment of Climate Change-induced Geohazards for Ice-clad Canadian Volcanoes and Mountains

In Canada’s mountains, climate change is leading to the retreat of glaciers, permafrost thawing and accelerated snowmelt. These factors contribute to a significant increase in slope stability hazards and the risk of landslides, placing numerous communities and critical infrastructure at risk. Volcanoes are particularly vulnerable as they are commonly hydrothermally altered and weakened, thereby compounding the effects of climate change and further increasing the associated risk of collapse. Municipal, regional, provincial and federal agencies recognize the critical importance of effectively monitoring unstable slopes on ice-clad volcanoes and mountains in order to more effectively mitigate and respond to these potentially catastrophic hazards. By coupling satellite-based Earth Observation data with ground-based geological and geotechnical information, this project will continue to help TRE Altamira develop a framework for a semi-automatic satellite monitoring service to monitor ice-clad volcanoes and mountains within the Garibaldi Volcanic Belt and ore broadly throughout the Pacific Northwest.

Voir la description complète du projet
Superviseur du corps professoral :

Glyn Williams-Jones;Douglas Stead;Brent Ward

Étudiant :

Partenaire :

TRE Altamira Inc

Discipline :

Earth science

Secteur :

Professional, scientific and technical services

Université :

Simon Fraser University

Programme :

Accelerate

Powering Transactive Energy Markets using Smart Contracts in an Integrated IoT-Blockchain Platform

In this project, we propose the use of blockchains to provide reliability, security, and transparency for collecting and querying IoT data in the energy sector. In particular, we will implement and evaluate our blockchain solution for enabling transactions in local energy markets, where homeowners have the capacity to generate energy (through renewables), stock energy (through electrical vehicle batteries), and consume energy. We will investigate various energy-related use cases and assess their relevance for Hydro-Quebec, as well as determine the added value of using a blockchain solution. We will then build a prototype, using open source blockchain software, to realize a studied use case using smart contracts. We will integrate our blockchain platform with the transactive energy platform developed by UQTR. Finally, we will evaluate our integrated IoT-Blockchain platform, in order to assess the challenge gaps surrounding the current systems, and further identify further research opportunities to improve the applicability and reliability of blockchain technology.

Voir la description complète du projet
Superviseur du corps professoral :

Kaiwen Zhang

Étudiant :

Partenaire :

Hydro-Quebec (Shawinigan, QC);Hydro-Quebec

Discipline :

Computer science

Secteur :

Professional, scientific and technical services; Utilities

Université :

École de technologie supérieure

Programme :

Accelerate

Multi-sensor object detection and localization for inspection robots

Hydro-Québec faces numerous challenges to inspect and maintain its infrastructures. Robotics used for infrastructure inspection can lead valuable gains in efficiency. However, large-scale adoption of inspection robots requires higher autonomy levels, like the capacity to autonomously inspect specific assets. AI-based object detection and localization is a key capability to complete autonomous inspections with robots. This project is about leveraging inspection capabilities of inspection robots with deep learning techniques.

Voir la description complète du projet
Superviseur du corps professoral :

Ioannis Mitliagkas

Étudiant :

Partenaire :

Hydro-Quebec (Varennes, QC)

Discipline :

Computer science

Secteur :

Utilities

Université :

Université de Montréal

Programme :

Accelerate

Heterogeneous Knowledge Graph Representation and Learning for Career Path Recommendation

This project is about better understanding talents and managers to help them reach their professional goals. For professionals, it might be about growing their career, getting their dream job, or finding the most efficient way of getting it. For managers, it might be about discovering interesting talents to join their team, or finding the most efficient talent set to carry out their project. To do so, we build a large knowledge graph based on several ontologies describing skills, roles knowledge and abilities. We then use deep learning approaches to identify entities of interest in CVs, infer users’ skills and recommend career moves. As such, our work contributes to the company’s vision of fostering professional growth by assisting organizations of all sizes through their process of digital transformatio

Voir la description complète du projet
Superviseur du corps professoral :

Amal Zouaq

Étudiant :

Partenaire :

Conova AI

Discipline :

Computer science

Secteur :

Manufacturing; Professional, scientific and technical services

Université :

Polytechnique Montréal

Programme :

Accelerate

Characterizing anti-inflammatory properties of medicinal mushrooms

Medicinal mushrooms possess compounds with beneficial properties, including anti-microbial, anti-tumoral, and anti-inflammatory, which support their role and application in current healthcare practices. In this proposal, we will measure the impact and role of extracts from medicinal mushrooms provided by Wake Network Inc. to identify how immune cells and an animal model change their response to a biological challenge in the presence of the extracted compounds. We aim to identify opportunities to use medicinal mushrooms to positively regulate the host inflammatory response to an adverse environment, supporting the application of the mushrooms produced by Wake Network Inc. as natural therapeutic options. The information gained from this study will permit the tailoring of medical treatments with mushroom extracts, depending on the status of the host, and inform the mechanistic changes within the host upon treatment.

Voir la description complète du projet
Superviseur du corps professoral :

Jennifer Geddes-McAlister;Bryan Crawford

Étudiant :

Partenaire :

Wake Network Inc.

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

University of Guelph; University of New Brunswick

Programme :

Accelerate

Mass spectrometry for multiplexed highthroughput analysis of large molecules

Whether it is for research, development or diagnostics, life sciences typically require the quantitation and characterization of samples with assays that classically measure molecules one at a time. Considering that the development and execution of such assays are time consuming and requires considerable investment, the uses of multiplexed analysis would be highly advantageous. Mass spectrometry is a technology that allows multiplexing, but requires highly specialized knowledge in order to achieve the desired results. It is not new that large molecules, mostly proteins, are being analyzed by mass spectrometry. However it remains limited to literate users due to the complexity of the task. Using state-of-the-art instrumentation, this project aims to develop highly standardized approach with simplified data analysis to break barriers that limit the use of mass spectrometry for large molecules analysis.

Voir la description complète du projet
Superviseur du corps professoral :

Klaus Klarskov

Étudiant :

Partenaire :

PhenoSwitch Biosciences Inc

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

Université de Sherbrooke

Programme :

Accelerate

Research in Support of New Orthotropic Steel Bridge Deck Provisions for CSA S6:25

Orthotropic bridge deck is lightweight steel deck, typically fabricated by welding “ribs” to the underside of a flat steel plate. The potential benefits of these deck systems are compelling. For example, from 1991 to 1993, the deteriorating deck on the Champlain Bridge was replaced with orthotropic steel deck panels weighing 25% less than the original reinforced concrete deck. The reduced self-weight enabled the bridge to continue to operate despite increasing live loads and deterioration of the superstructure for another two decades. In the last code cycle, provisions in CSA S6 for orthotropic bridge deck design were replaced with a reference to the American AASHTO Bridge Specification, on the basis the Canadian provisions were no longer up-to-date. On this basis, the goals of this project will be to: 1) conduct an in-depth review of the state-of-knowledge on steel orthotropic deck design; 2) perform preliminary structural analyses on a broad range of deck spans and configurations, to test the implementation of the current design approach; and 3) produce two reports, each including a summary of findings, and identified areas of improvement for future editions of CSA S6 and future research.

Voir la description complète du projet
Superviseur du corps professoral :

Scott Walbridge;Bruno Massicotte

Étudiant :

Partenaire :

CSA Group

Discipline :

Engineering

Secteur :

Construction and infrastructure; Professional, scientific and technical services

Université :

University of Waterloo

Programme :

Accelerate

Multiplexed quantitative proteomics approaches to characterize residual host cell protein impurities in biopharmaceutical processing

Many drugs, such as those made of antibodies, are produced using cells from bacteria and other organisms. Companies such as BioVectra use this approach to produce antibody drugs efficiently and cost-effectively. At the end of the production process, residue such as protein from the “host” cells (called host cell proteins, or HCPs) must be removed from the antibody. Although methods are currently available to test for HCPs, they do not fully identify all those present. Furthermore, how drug production processes effect what HCPs are present is not known. Here, interns will undertake a project using new methods to determine the amount and types of specific HCPs in left behind in antibody drugs produced in bacteria. These methods will also be used to compare different ways of producing antibody drugs that may limit HCPs. In the end, the application of this approach will allow BioVectra to produce the safest and most efficacious drugs possible for public use.

Voir la description complète du projet
Superviseur du corps professoral :

J. Patrick Murphy

Étudiant :

Partenaire :

BIOVECTRA Inc.

Discipline :

Physics

Secteur :

Pharmaceuticals; Biotechnology; Life Sciences (not health)

Université :

University of Prince Edward Island

Programme :

Accelerate

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