Projets novateurs réalisés

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

29 670 projets achevés

2811
AB
4990
C.-B.
801
MB
663
NL
825
SK
8841
ON
9197
QC
95
PE
568
NB
1088
NS

Projets par catégorie

Predicting falls based on a 2-minute walk test

Falls are the leading cause of injuries in older adults. Identifying older adults with risk for falls prior to discharge home from the Emergency Department (ED) could help direct fall prevention interventions, yet ED-based tools to assist risk stratification are under-developed. The aim of this study was to compare the performance of our proposed machine learning algorithms with existing screening tools to predict future falls in the 90-days post ED discharge for 150 older adults aged 65 years and older.

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Superviseur du corps professoral :

Ervin Sejdic

Étudiant :

Partenaire :

VHA Home Healthcare

Discipline :

Engineering

Secteur :

Health and Related Sciences & Technology

Université :

University of Toronto

Programme :

Accelerate

Développement et évaluation des performances d’outils pour la sélection des emplacements d’échantillons instantanés dans des réseaux de distribution d’eau potable réels

Avec l’aide de la technologie développée par SWDS, les services publics d’eau potable pourront lever plus tôt et à moindre coût les avis reliés à l’eau potable, tels que les avis d’ébullition de l’eau ou de ne pas boire d’eau. Lors d’un incident de contamination de l’eau potable, les outils de SWDS peuvent trouver les zones touchées plus rapidement et plus précisément que les outils existants. Avec les outils de SWDS, l’injection de désinfectants, comme le chlore, sera ajustée en fonction de la consommation d’eau réelle plutôt que sur la base d’un calendrier typique d’injection. SWDS fournit tous ces services aux services d’eau en réalisant un jumeau numérique fiable du réseau de distribution d’eau potable pour améliorer la sécurité et la qualité de l’eau potable.

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Superviseur du corps professoral :

Sophie Duchesne

Étudiant :

Partenaire :

V1 Studio

Discipline :

Engineering

Secteur :

Education

Université :

Université du Québec : Institut national de la recherche scientifique

Programme :

Accelerate

Amination of redox-active esters of fluorinated alicyclic carboxylic acids with diazirines

The objective of this research program is the development of new green synthetic methods with emphasis on metal-free procedures for the simple preparation of biologically and commercially important molecules. In particular, fluorinated sp3-enriched Nitrogen-containing compounds will be prepared by radical reactions of redox-active esters (i.e., N-hydroxyphthalimide, N-hydroxy-2-thiopyridone, etc.) derived from fluorinated alicyclic carboxylic acids with the diazirine derivatives.
According to this, we are going to establish reactivity patterns for the redox-active esters derived from fluorinated alicyclic carboxylic acids in the reaction with diazirines. Then find optimal reaction conditions for this transformation, providing either imine or diazirine products selectively and demonstarate possible applications of the products obtained for the synthesis of potentially useful fluorinated Nitrogen-containing compounds, e.g., amines, hydrazines, or nitrogen-containing heterocycles.

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Superviseur du corps professoral :

Thierry Ollevier

Étudiant :

Partenaire :

Taras Shevchenko National University of Kyiv

Discipline :

Life Sciences

Secteur :

Pharmaceuticals; Sustainability & the Environment; Other

Université :

Université Laval

Programme :

Globalink Research Award

Dual Eye-tracking for Measuring Surgical Team Cognition

Team collaboration is important for performing image-guided surgery, including laparoscopic surgery. Therefore, training
healthcare providers in a team setting is critical for the success of laparoscopic procedures.
To improve the quality of any team training program, we need to develop a reliable assessment instrument to measure team
performance. The currently available team assessment tools are mostly subjective and indirect. What we need is to find a way to
directly evaluate team cognition, the psychomotor foundation behind any team performance.
We have used eye-tracking technology to assess the cognition of an individual surgeon. In this study, we plan to develop and test
a dual eye-tracking technology and further investigate whether eye-tracking can be used to measure team cognition between two
surgeons in a laparoscopic surgery. The task goal will be fulfilled by building the collaboration with scientists and surgeons in the
Institute of Image Guided Surgery (IHU-Strasbourg) in France. One intern (Yao Zhang, PhD student) will be supported for 12
weeks by GRA fund.

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Superviseur du corps professoral :

Bin Zheng

Étudiant :

Partenaire :

IHU Strasbourg

Discipline :

Life Sciences

Secteur :

Health and Related Sciences & Technology; Biotechnology; Information and Communications Technology

Université :

University of Alberta

Programme :

Globalink Research Award

Étude de marché pour la création d’une compagnie de photographie aérienne

Le projet consiste à relever les défis liés à l’étude de marché pour la création d’une compagnie de prise de vue
aérienne via les différentes technologies innovantes et la validation du plan d’affaire pour la fondation de cette
entreprise qui feront l’objet de ce programme.
Le but du projet est l’optimisation et la validation du potentiel commercial de l’idée afin d’affiner le concept et de
combiner les différentes technologies en la matière qui seront les atouts nécessaires pour la création de
l’entreprise.

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Superviseur du corps professoral :

Karem Chokmani

Étudiant :

Partenaire :

V1 Studio

Discipline :

Engineering

Secteur :

Education

Université :

Université du Québec : Institut national de la recherche scientifique

Programme :

Accelerate

Couling Inventory Validation

Cultural Planning encourages recognition of a community’s network of interrelated assets, and maintains that it is beneficial to conserve built cultural heritage resources. Many municipalities, including the City of Guelph, have undertaken cultural mapping initiatives, which are considered an initial step and a defining feature of this vein of planning. Guelph’s mapping initiative identifies the location of a variety of assets including buildings and structures; however, several non-designated or non-listed historic properties are currently not included. These resources are acknowledged in an inventory of over 2000 properties created by Gordon Couling – a notable figure in Guelph’s heritage conservation movement. My project will assess the validity of Couling’s inventory, maintaining a specific focus on architectural and contextual value as defined by the criteria for determining cultural heritage value or interest provided by Ontario Regulation 9/06 within the Ontario Heritage Act (OHA). This research will assist the City of Guelph in deciding if they should pursue formal protection for individual resources, or if concentrations of significant properties represent potential heritage conservations districts.

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Superviseur du corps professoral :

Robert Shipley

Étudiant :

Partenaire :

City of Guelph

Discipline :

Sociology

Secteur :

Public administration; Utilities

Université :

University of Waterloo

Programme :

Accelerate

Beyond “proof of concept” – machine learning and related tools applied to transactional data extracts from clinical and business information systems – in service of Quality Assurance/Quality Improvement.

The program of eight interlocking applied research projects employs various machine learning (ML) methodologies with large volumes of Island Health cross-continuum patient-service encounter data inside the Island Health firewall. The objective is to generate ready-for-use products that will promote better outcomes via more effectively optimized interoperation of IH programs. As well, the work targets objectives of health system sustainability by identifying, counting and costing out processes that are difficult to reconcile with established clinical care guidelines. Complementing more usual diagnostically-based approaches, the project seeks to classify persons in terms of cross-continuum patterns of service utilization (PSUs), relate PSUs to outcomes, and employ PSUs as foundational units for tools that can be employed to build out evidentiary foundations for Quality Assurance/Quality Improvement targeting and approaches. Information products are expressed in an intuitive manner, to provide direct support for translation of generic service system strategies into tactically focused Quality Assurance/Quality Improvement initiatives.

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Superviseur du corps professoral :

Alex Thomo;Lloyd Elliott;Venkatesh Srinivasan

Étudiant :

Partenaire :

Vancouver Island Health Authority (Victoria, BC)

Discipline :

Computer science

Secteur :

Health and Related Sciences & Technology

Université :

Simon Fraser University; University of Victoria

Programme :

Accelerate

Applying a community-based mental health lens to Canadians access to mental healthcare in the context of COVID19

The pandemic has had a devastating impact on mental health, substance use and homelessness in Canada. The pandemic has also made visible the current patchwork system of care provided in the private, public. It is expected that the medium-long term mental health and substance use impacts of the pandemic will be significant at both the level of individual and the system. This project will assess the state of Canadians mental health, access to mental health supports, the delivery of care in community settings, the mental health workforce, workplace mental health, and the social determinants of mental health, with the goal of identifying opportunities for mental health systems change.

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Superviseur du corps professoral :

Chris Perlman

Étudiant :

Partenaire :

Canadian Mental Health Association;Mental Health Research Canada

Discipline :

Life Sciences

Secteur :

Other services (except public administration)

Université :

University of Waterloo

Programme :

Accelerate

Agent-based modelling of synthetic financial transaction sequences

In this Mitacs project, we turn to agent-based modelling as an approach to model the complex behaviour of an individual’s financial transaction history. Agents are given a set of behaviours, such as habits, relationships, occupation, and daily patterns, and then act in a simulated environment to fulfill those behaviours. Our agent-based modelling will simulate the behaviour of individuals to create a realistic history of their financial banking transactions.

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Superviseur du corps professoral :

Terrence Tricco

Étudiant :

Partenaire :

NASDAQ Canada Inc

Discipline :

Computer science

Secteur :

Finance and Insurance

Université :

Memorial University of Newfoundland

Programme :

Accelerate

IFRS9 Expected Loss Models and SICR, an Alberta Perspective

Regulatory changes in accounting standards implemented in 2018 (rules IFRS 9) require that banks’ provisions (i.e., reserves set aside to cover future losses) are evaluated in a forward-looking manner, considering carefully-designed projections of the macroeconomic environment. Further, should a financial instrument experience a substantial risk increase, the methodology to calculate reserves must become more conservative. This project contributes to the development of compliant credit risk assessment methodologies in three ways. 1) evaluating the performance of the credit risk models currently used by the financial partner 2) evaluating state-of-the-art machine learning techniques to estimate expected credit losses and 3) evaluating the threshold at which the methodology used to calculate reserves must become more conservative.

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Superviseur du corps professoral :

Valentina Galvani;Sebastian Fossati Pereira

Étudiant :

Partenaire :

ATB Financial

Discipline :

Mathematics

Secteur :

Finance and Insurance

Université :

University of Alberta

Programme :

Accelerate

Utilisabilité de l’espace aérien avancé (ADAIR)

Les objectifs de ce projet de recherche sont :
1. Programmer un prototype d’application CPDLC tel qu’implémenté sur le Airbus A380 (version A);
2. Développer un prototype de la nouvelle application CPDLC selon les maquettes conçues par notre équipe (version B);
3. Programmer l’interface CPDLC du contrôleur aérien pour la réception et l’envoi de message;
4. Déployer les applications sur le web afin de permettre l’échange de message entre deux utilisateurs (pilote, contrôleur).

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Superviseur du corps professoral :

Philippe Doyon-Poulin

Étudiant :

Partenaire :

École Nationale de l'Aviation Civile

Discipline :

Computer science

Secteur :

Aerospace; Information and Communications Technology

Université :

Polytechnique Montréal

Programme :

Globalink Research Award

Predicting disability benefits claim durations and Comparing actual versus expected disability benefits claim durations

The financial implications of time lost from work due to disability can be severe. Disability insurance coverage plans protect people from possible loss of income. We have found factors that predict the duration of disability benefit claims. However, it remains to be seen whether these associations are consistent. Improved understanding of modifiable factors associated with claim duration may help insurers optimize their case management processes to reduce overall claim durations, and facilitate more timely return to work. We will analyze SSQ Financial’s database to determine if similar predictive associations exist. Insurers also need to identify and monitor particularly challenging disability claims. We will facilitate these processes by using SSQ’s database to compare actual disability durations against current guidelines for expected disability durations, and identify those conditions for which a significant proportion of claims exceed guideline-directed recommendations. This could justify building a contingency that would reward claimants for achieving positive outcomes.

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Superviseur du corps professoral :

Jason Busse

Étudiant :

Partenaire :

SSQ Financial

Discipline :

Life Sciences

Secteur :

Finance and Insurance

Université :

McMaster University

Programme :

Accelerate