Projets novateurs réalisés

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

31 133 projets complétés

2940
AB
5159
C.-B.
837
MB
685
NL
882
SK
9292
ON
9695
QC
97
PE
601
NB
1161
NS

Projets par catégorie

Online cognitive training and cognitive rehabilitation / Goal Management Training™ (GMT)

There is a significant waitlist for clients experiencing cognitive impairment (which can be due to a number of reasons) to receive clinical care. Symptoms may include impairments to attention and executive functions (higher-level cognitive abilities supporting focused task performance) or functional (e.g., vocational or activities of daily living); symptoms may be exacerbated in those who have been impacted by infection by the COVID-19 virus. Based on this need, Baycrest researchers have developed the Goal Management Training™ (GMT) program, which incorporates decades of neuroscientific research on executive functions. Initially developed for people with brain injuries and aging, GMT has become a world-leading standardized, evidence-based intervention, with over 20 years of research demonstrating effectiveness across a broad range of conditions. The GMT program serves both patients under the care of therapists, as well as those who do not have access to professional care. However, the reach of the current therapist-guided GMT program offerings is limited, which means individuals who could benefit from the program and return to society as productive members and with re-gained quality of life is also limited.

Voir la description complète du projet
Superviseur du corps professoral :

Morgan Barense;Brian Levine

Étudiant :

Partenaire :

Baycrest Hospital

Discipline :

Life Sciences

Secteur :

Health and Related Sciences & Technology

Université :

University of Toronto

Programme :

Business Strategy Internship

Coupled thermal-electrochemical modelling and characterization of novel lithium-ion cell architectures for electric vehicle batteries

Significant advances in lithium-ion batteries (LIBs) are driving the automotive industry’s transition to electrification. Canada’s expansive ecosystem of leading automakers, part manufacturers, research institutions, and skilled workforce are collectively well-positioned to further advance LIB technologies and overcome critical barriers that continue impacting electric vehicle (EV) adoption, including vehicle driving range, and battery lifespan and safety. These barriers are aggravated in extreme cold and hot climates due to the sensitivity of LIBs to sub-zero and high temperatures (above 45°C). Partnering with Flex | N | Gate and its Flex?Ion Battery Innovation Centre in Windsor, Ontario, we will jointly develop computational thermal-electrochemical battery models and experimental characterization methodologies to support the design and manufacturing of Flex | N | Gate’s LIB cells. We will apply a high fidelity computational and experimental framework combining physics- and data-based battery modelling methodologies to enable superior battery performance, enhanced safety, and extended lifetime in all climates. Flex | N | Gate will leverage these computational models and characterization methodologies to incorporate leading-edge thermal innovations into their next-generation pouch and cylindrical LIB cells.

Voir la description complète du projet
Superviseur du corps professoral :

Cristina Amon

Étudiant :

Partenaire :

Flex-Ion Battery Innovation Center

Discipline :

Engineering

Secteur :

Manufacturing

Université :

University of Toronto

Programme :

Accelerate

Etude d’un système antiphage de type avortement de l’infection contrôlé par un riborégulateur chez Clostridioides difficile

Clostridioides difficile est la principale cause de diarrhées post-antibiotiques chez les adultes dans les pays industrialisés et l’une des bactéries les plus problématiques en milieu hospitalier. Cependant, les processus de colonisation du tube digestif ainsi que les mécanismes qui contrôlent la virulence sont encore peu étudiés chez cette bactérie. Mieux comprendre la régulation de ces processus semble indispensable pour l’étude de ce pathogène émergent humain. L’objectif général de ce projet de déterminer les rôles biologiques des ARNs régulateurs et de découvrir les mécanismes moléculaires de la régulation basés sur l’action des ARNs chez C. difficile. Nous sommes particulièrement intéressés par la caractérisation d’un nouveau système de défense contre les bactériophages chez C. difficile, qui semble être régulé par un ARN régulateur. La réalisation de ce projet apportera la description du premier système de défense antiphage de type « avortement de l’infection » chez C. difficile, contrôlé par un riborégulateur, et devrait nous permettre de mieux comprendre des interactions de C. difficile avec les bactériophages. A plus long terme, ces données pourraient servir au développement de nouvelles stratégies thérapeutiques dirigées contre les infections à C. difficile.

Voir la description complète du projet
Superviseur du corps professoral :

Louis-Charles Fortier

Étudiant :

Partenaire :

Université Paris-Saclay

Discipline :

Life Sciences

Secteur :

Education

Université :

Université de Sherbrooke

Programme :

Globalink Research Award

Flow: A live captioning system for dysarthric speech

In recent years, video conferencing has become a popular communication channel. However, for people with Parkinson’s disease, speech problems like stutters, gaps, and ticks can quickly derail a conversation and render video communication services unusable. Live captioning can be very helpful, but only if the captions have sufficient quality. To facilitate communication, we propose to build a live captioning system for Parkinson’s patients called Flow. Our work is based on an existing prototype captioning system, which we customize for Parkinson’s patients’ speech. Specifically, we collect anonymous speech recordings by Parkinson’s patients and use the recordings to customize the system for Parkinson’s patients.

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Superviseur du corps professoral :

Miikka Silfverberg;Jian Zhu

Étudiant :

Partenaire :

Skyline Innovation

Discipline :

Computer science

Secteur :

Information and cultural industries

Université :

The University of British Columbia

Programme :

Accelerate

Artifact development for Ergonomic Analysis of Work

Ergonomic Work Analysis (EAW) includes analysis of demands, observations, and analysis of planned and executed tasks. The EAW requires the measurement of the loads to which workers are exposed through ergonomic tools and the construction of action plans to adapt the working condition in a way that respects the human being.
Considering the Canadian Center for Occupational Health and Safety (https://www.ccohs.ca/) guides ergonomists and companies to observe Work-related musculoekeletal disorders (WMSDs) using observational systems dependent on analysts, this limites the ergonomics evaluation regarding the real assessment of conditions, which may expose workers to risks due to under-evaluated situations.
This study aims to find the answer to the question: “How to evaluate a work condition in a digital, integral, and continuous way to allow the adaptation of work to the human being?
This research will use the design science research method, based on the knowledge and experience of Canadian ergonomists to map opportunities for improvement and especially how to respond to the demand to adapt work to the human.

Voir la description complète du projet
Superviseur du corps professoral :

Nancy Black

Étudiant :

Partenaire :

Federal University of Parana

Discipline :

Engineering

Secteur :

Health and Related Sciences & Technology; Artificial Intelligence

Université :

Université de Moncton

Programme :

Globalink Research Award

Characterizing commercial off-the-shelf electronics components for space applications

Radiation effects in the space environment is of particular concern to electronics, often causing them to fail either due to ionization or from particles directly damaging components through collision. The goal of the project is to study the radiation effects of commercial off-the-shelf (COTS) components such as solid-state drives (SSDs) and digital-to-analog converters (DAC) to evaluate their performance for use in space instrumentation. Demonstrating suitable radiation performance in modern commercial electronics will open the door to higher performance devices when compared to traditional radiation-hardened devices based on older technology. The Intern will use the Co-60 radiation chambers at the University of Saskatchewan and TRIUMF proton irradiation facility to screen variety of commercial electronics. The validated COTS components and the low-cost screening strategies will provide Xiphos with its significant opportunity to reduce the cost of next-generation avionics used in low Earth orbit by several orders of magnitude.

Voir la description complète du projet
Superviseur du corps professoral :

Li Chen

Étudiant :

Partenaire :

Xiphos System Corporate

Discipline :

Engineering

Secteur :

Manufacturing

Université :

University of Saskatchewan

Programme :

Accelerate

New technologies for low frequency photoacoustic imaging

This project is focussed on developing an optical imaging technology called photoacoustic imaging. Photoacoustic imaging is able to distinguish healthy tissue from cancerous tissue during breast surgery and could one day eliminate the need for repeat surgeries. The technology uses a pulsed laser to selectively build up pressure in some tissues and microphones to listen for sound as the pressure dissipates. After reconstruction, the sound recordings are converted back into a pressure map representative of the tissues. The project funds will support two PhD students. The first student will study a hand-held photoacoustic probe that surgeons can one day use to image tissue during surgery. The second student will study a new type of sound recorder that could revolutionize how photoacoustic images are captured. Advancements made by both students could one day make photoacoustic imaging a routine method to screen for cancer and aide its removal during surgery.

Voir la description complète du projet
Superviseur du corps professoral :

Jeffrey Carson;Mamadou Diop

Étudiant :

Partenaire :

Multi Magnetics Inc

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

The University of Western Ontario

Programme :

Accelerate

Change detection and assessment of destroyed urban infrastructure using remote sensing analysis

Detecting changes in a building using remote sensing images has been an essential research topic in Geographic Information System (GIS) and Remote Sensing (RS) and used for characterization and quantification of change detection on footprints of buildings or buildings’ rooftops.
The purpose of the research project includes the choosing and testing RS and GIS methods based on aerial and satellite imagery data to detect changes in urban objects (mainly the footprints of buildings) that destroyed due to military events in Ukraine.
1. What methods of manual and automated remote sensing (RS) and spatial analysis with Geographic Information Systems (GIS) are suitable for detecting rapid changes in the footprints of buildings as a result of military destructions?
2. What is an effective RS and GIS methodology using digital surface model (DSM), extracted from orthophotos, to delineate changes and assess and level the severity of damage to buildings (destroyed, partially destroyed, damaged, unchanged etc.)?
3. What are the RS techniques and their variables for determining the type of destructions (bomb, artillery/rocket, mortar shells etc.)?
4. How to create a GIS database to store city features with attributes such as building type, intended use, percentage damage severity, destruction type, estimated cost, and recoverability?

Voir la description complète du projet
Superviseur du corps professoral :

Mikhail Govorov

Étudiant :

Partenaire :

Taras Shevchenko National University of Kyiv

Discipline :

Earth science

Secteur :

Technology; Other

Université :

Vancouver Island University

Programme :

Globalink Research Award

The Workers Speak

In 1845, the poet Elizabeth Barrett Browning wrote “I look everywhere for grandmothers and see none”. Working-class women poets of the eighteenth-century have been ignored by scholars for over 200 years. My project aims to reconnect these poets with their ‘granddaughters’ of today. I will be working in an interdisciplinary way, contributing across multiple platforms in the Concordia English department, particularly working with Dr Danielle Bobker, associate professor of English. Dr Bobker’s expertise exactly corresponds to my own doctoral research on space in eighteenth-century literature. Under her supervision, I will be drafting an article for publication on two women poets. I will also be assisting Dr Bobker with the organisation of the Canadian Eighteenth Century Studies 2023 conference. I will deliver creative and scholarly engagement across multiple platforms, including the creative writing faculty. Just one example is creating a recording for the Spoken Web project with Jason Camlot. I aim to bring fresh scholarship and leave a lasting legacy at Concordia.

Voir la description complète du projet
Superviseur du corps professoral :

Danielle Bobker

Étudiant :

Partenaire :

University of Manchester

Discipline :

Sociology

Secteur :

Education

Université :

Concordia University

Programme :

Globalink Research Award

Graph Feature-Engineering for Scalable Fraud Detection in Commercial Banking

The goal of the research project is to enhance ATB’s fraud detection by incorporating new graph based features. Initially, the project will be focused on figuring out how to use ATB’s data to build graph features. Once the data is processed, these additional graph variables will be used to improve the existing fraud detection machine learning algorithms ATB is currently using. The benefits to ATB will be more proactive fraud prevention and improved customer lifetime value.

Voir la description complète du projet
Superviseur du corps professoral :

Matthew Greenberg

Étudiant :

Partenaire :

ATB Financial

Discipline :

Mathematics

Secteur :

Finance and Insurance

Université :

University of Calgary

Programme :

Accelerate

Planification de la distribution en contexte de livraisons quotidiennes sous contraintes defenetres de temps Year Two

Le premier objectif de ce projet est de developper un algorithme de resolution du probleme de planification de tournees de livraison a un niveau fonctionnel. Par fonctionnel, nous entendons integrer toutes les contraintes operationnelles du secteur industriel du partenaire afin que l’algorithme soit exploitable dans un contexte concret. Pour ce faire, une collaboration tres etroite entre le partenaire et le chercheur est necessaire. Une fois l’algorithme developpe, l’objectif suivant est de supporter l’integration de celui-ci dans un logiciel de planification developpe par le partenaire industriel en collaboration avec le chercheur.

Voir la description complète du projet
Superviseur du corps professoral :

Jacques Renaud

Étudiant :

Partenaire :

Ameublements Tanguay

Discipline :

Engineering

Secteur :

Retail trade

Université :

Université Laval

Programme :

Elevate

Improved Monitoring of Arctic Sea Ice from Multi-Frequency Radar Remote Sensing

Sea ice is an integral part of the climate system. To obtain hemispheric-scale information about sea ice and the snow cover on top, satellite radar remote sensing is the method of choice. Microwave frequencies are ideally suited to observe sea ice/snow because they are independent of clouds and penetrate the snow and sea ice. However, snow and its geophysical properties complicate the retrieval of snow depth, sea ice thickness and other critical variables from satellite radar sensors. Therefore, we need high-resolution radar measurements with coincident snow and sea ice geophysical properties. In this research, we propose to utilize high-resolution, surface-based multi-frequency radar measurements of Arctic sea ice at Ka-, Ku-, X-, C- and L-band radar frequencies. Measurements were collected during the 2019-20 year-long MOSAiC International Arctic Drift Expedition: the largest and longest expedition in the Arctic Ocean. Radar data will be analyzed to develop observational and theoretical approaches to improve satellite-based algorithms of snow and sea ice parameters essential to climate research.

Voir la description complète du projet
Superviseur du corps professoral :

John Yackel

Étudiant :

Partenaire :

H2O Geomatics Inc.

Discipline :

Earth science

Secteur :

Professional, scientific and technical services

Université :

University of Calgary

Programme :

Accelerate

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Mitacs est financé par le gouvernement du Canada, le gouvernement de l’Alberta, le gouvernement de la Colombie-Britannique, Research Manitoba, le gouvernement du Nouveau-Brunswick, le gouvernement de la Nouvelle-Écosse, le gouvernement de l’Ontario, Innovation PEI, le gouvernement du Québec, le gouvernement de la Saskatchewan, le gouvernement de Terre-Neuve-et-Labrador et le gouvernement du Yukon.