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
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825
SK
8841
ON
9197
QC
95
PE
568
NB
1088
NS

Projets par catégorie

Enhancing Concussion Care through Telehealth and AI: Integrating Brainbot with the Concussion Education and Self-Management (CESM) program for Optimal Symptom Management and Patient Empowerment

Brainbot and the TeleNeurorehab Centre for Acquired Brain Injury at the KITE Research Institute are partnering to explore how innovative digital solutions can expand access and enhance the healthcare experience. Interns will delve into the research of a cutting-edge digital tool aimed at improving patient care and management for concussion recovery. Brainbot will gain valuable insights into patient needs and preferences and the efficacy of the application. This project not only promises to elevate the standard of healthcare services but also offers a unique learning and development opportunity for our interns, who will gain hands-on experience in healthcare technology innovation.

Voir la description complète du projet
Superviseur du corps professoral :

Robin Green

Étudiant :

Partenaire :

Brainbot

Discipline :

Life Sciences

Secteur :

Information and cultural industries

Université :

University of Toronto

Programme :

Accelerate

Coherent control of spin in color centers found in wide-band gap semiconductors

Spin control is of great importance for characterization of optical emitters in a quantum system. Colour centers are fluorescence defects in a crystal, which can act as single photon emitters for quantum optics. As colour centres can operate at room temperature in an ambient environment, they hold great promise for enabling future small footprint quantum chips. This project will study the spin coherent control of colour centres in wide-band gap materials (such as diamond, boron nitride, Silicon Carbide). Students will learn optically detected magnetic resonance, study Zeeman splitting and Rabi oscillation of degenerate spin state under external magnetic field and measure their quantum coherent times.

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Superviseur du corps professoral :

Arthur Chan

Étudiant :

Partenaire :

National University of Singapore

Discipline :

Engineering

Secteur :

Education

Université :

University of Toronto

Programme :

Globalink Research Award

Landmark Segmentation and Image Registration of Abdominal Point-of-Care Ultrasound Images using Deep Learning

According to the Canadian Liver Foundation, non-alcoholic fatty liver disease (NAFLD) is the most common chronic liver disease in Canada, affecting 20% of the Canadian population. Over decades, NAFLD can progress to liver cirrhosis, with deceased liver function and decompensation associated with mortality and requiring consideration of liver transplantation. Thus, early diagnosis is crucial to implement therapeutic strategies that prevent further progression of the disease. Current early detection and diagnosis of NAFLD/NASH include invasive biopsies, elastography, and magnetic resonance imaging/computed tomography scans, all of which are expensive, requiring vast medical expertise and complex workflows. The focus of this research is to develop deep learning algorithms for image segmentation, registration and volume estimation of the liver using two-dimensional point-of-care ultrasound images. Oncoustics can leverage these potential algorithms to hardware agnostic software. Such technology would assist clinicians in observing and detecting possible liver disease to improve workflow speed.

Voir la description complète du projet
Superviseur du corps professoral :

Eranga Ukwatta

Étudiant :

Partenaire :

Oncoustics

Discipline :

Engineering

Secteur :

Manufacturing; Professional, scientific and technical services

Université :

University of Guelph

Programme :

Accelerate

Réalité virtuelle sur circuit logique reconfigurable appliquée aux troubles du comportement alimentaire

Avec les avancées technologiques, la réalité virtuelle devient de plus en plus accessible comme outil diagnostique et traitement dans le domaine de la psychologie en général et celui sur les troubles du comportement alimentaire en particulier. Le dispositif actuellement disponible est basé sur un ordinateur. Le manque de mobilité du dispositif et les ressources matérielles limitées constituent des restrictions non négligeables dans la définition et mise à jour des scénarios à utiliser. Cela limite également l’opportunité d’utiliser le dispositif dans différents milieux. Ainsi, l’objectif principal de ce projet de recherche est d’exécuter les calculs nécessaires à l’environnement de la réalité virtuelle dans un circuit logique reconfigurable dont la puissance de calcul est largement supérieure à celle d’un ordinateur

Voir la description complète du projet
Superviseur du corps professoral :

Adel Omar Dahmane

Étudiant :

Partenaire :

Agence des services sociaux et de la santé Maurice (Centre-du-Québec);Cliniques et Développement In Virtuo;Université du Québec à Trois-Rivières

Discipline :

Engineering

Secteur :

Health and Related Sciences & Technology

Université :

Université du Québec à Trois-Rivières

Programme :

Accelerate

Enhancing Recruitment Application Processing Using Artificial Intelligence Technology

ApplyBoard is a Canadian company that offers an artificial intelligence-enabled recruitment platform to help international students apply for post-secondary studies abroad. Embarking on a collaborative venture with York University, this research project aims to improve the application processing framework at ApplyBoard through the integration of advanced AI technologies. By leveraging machine learning algorithms, Optical Character Recognition (OCR), and Natural Language Processing (NLP), we seek to streamline document evaluation processes. This involves enhancing data extraction accuracy, automating verification procedures, and standardizing document analysis protocols. The anticipated outcome includes substantial improvements in processing efficiency and accuracy, leading to reduced operational costs and enhanced user experience for both students and recruitment partners. Ultimately, our endeavor promises to propel ApplyBoard towards a more robust and efficient application processing paradigm, marking a significant stride in the realm of educational administration.

Voir la description complète du projet
Superviseur du corps professoral :

Shahin Kamali

Étudiant :

Partenaire :

ApplyBoard Inc.

Discipline :

Computer science

Secteur :

Education

Université :

York University

Programme :

Accelerate

Speech Analysis for 9-1-1 Calls and Surveillance Audio

This research project has two goals. The first goal is to design and test software that will analyze the content of transcribed 9-1-1 emergency calls. We will use Natural Language Processing (NLP) and Artificial Intelligence (AI) to perform an evaluation of the operator performance during the 9-1-1 call and generate an evaluation form in the format required by the Alberta government. The second goal is to improve existing software that automatically transcribes long surveillance audio clips into English text. Whisper, a new AI-based Speech Recognition package from OpenAI, will be applied to segments of calls and then adapted to better handle unique features of surveillance audio, such as noisy backgrounds, unintelligible speech, conversational speech, numeric values, and code words. The research project directly addresses the Edmonton Police Service’s two most pressing needs for cheaper transcription that cannot be met by existing software.

Voir la description complète du projet
Superviseur du corps professoral :

Howard Hamilton

Étudiant :

Partenaire :

City of Edmonton

Discipline :

Computer science

Secteur :

Administrative and support, waste management and remediation services; Public administration

Université :

University of Regina

Programme :

Accelerate

Mesure de la maturité et de la transformation numérique de la Ville de Laval

Les entreprises manufacturières de la Ville de Laval au Québec affichent un retard significatif dans l’adoption des technologies numériques, attribué au manque d’alignement avec le modèle d’affaires, la difficulté à établir des indicateurs clés de performance, et le déficit de compétences internes et de motivation des employés. Ce projet vise à évaluer la maturité numérique des entreprises lavalloises et la compétence numérique des individus à travers des questionnaires destinés aux gestionnaires. Une comparaison est ensuite établie entre le niveau de maturité numérique de Laval, du Québec, et du Canada, en utilisant des indicateurs liés à la transformation numérique. Enfin, une démarche stratégique est suggérée pour aligner les parties prenantes de l’écosystème, offrant à la Ville de Laval un outil pour prioriser ses efforts et soutenir les entreprises dans leur transformation numérique, améliorant ainsi leur compétitivité.

Voir la description complète du projet
Superviseur du corps professoral :

Fabiano Armellini;Elaine Paiva Mosconi;Christophe Danjou;Catherine Beaudry

Étudiant :

Partenaire :

Ville de Laval

Discipline :

Sociology

Secteur :

Public administration; Utilities

Université :

Polytechnique Montréal

Programme :

Accelerate

Développement d’un additif inhibiteur de corrosion vert pour un formate de potassium destiné au dégivrage et l’antigivrage des ponts et routes

La recherche envisagée vise à relever le défi critique de combattre la corrosion induite par l’utilisation répandue de sels de déglaçage, tels que le NaCl et le CaCl2, sur les infrastructures routières. Cette problématique majeure entraîne une détérioration accélérée des structures en béton, avec des conséquences coûteuses sur l’entretien et la durabilité des infrastructures. L’objectif central de cette étude est de développer un additif inhibiteur de corrosion vert, inspirer de la nature, pour un produit de dégivrage innovant à base de formate de potassium, produit par électrolyse du CO2 par Electro Carbon, qui présente une efficacité de dégivrage supérieure aux sels courants.
La méthodologie proposée implique la recherche d’additifs inhibiteurs de corrosion durables, le développement d’un additif pour le formate de potassium puis l’évaluation en laboratoire de la performance du produit développé en termes de corrosion des métaux et dégradation des bétons et en conditions hivernale en termes de dégivrage, d’antigivrage et de glissement.

Voir la description complète du projet
Superviseur du corps professoral :

Jean-Denis Brassard

Étudiant :

Partenaire :

Electro Carbon

Discipline :

Engineering

Secteur :

Manufacturing; Professional, scientific and technical services

Université :

Université du Québec à Chicoutimi

Programme :

Accelerate

A techno-economic analysis of the potential for the capture and transportation of carbon dioxide for utilization as an industrial feedstock in Nova Scotia

Nova Scotia plans to become a major player in the global hydrogen market. The province wants to produce green hydrogen and green ammonia using renewable electricity. Hydrogen, ammonia, and carbon dioxide are three precursors to products that will be essential to a sustainable future: Methanol can be produced by combining green hydrogen and carbon dioxide, a versatile chemical used in various applications, including sustainable aviation fuels and fertilizers can be produced with ammonia from the combination of hydrogen and nitrogen.
Producing methanol and urea requires a source of carbon dioxide. Obtaining carbon dioxide while reducing emissions involves: identifying current and potential future sources of CO2 emissions; assessing the carbon capture technologies; and analyzing methods for transporting CO2 from the sources to industrial facilities producing the value-added products.
Overall, the research will analyze the economic feasibility of different carbon-capture technologies and methods of transporting to industrial plants for its utilization. Nova Scotians will gain from this research, as the capture of carbon dioxide will not only reduce the province’s emissions, but its utilization will create employment opportunities and foster economic benefits.

Voir la description complète du projet
Superviseur du corps professoral :

Larry Hughes

Étudiant :

Partenaire :

EverWind Fuels

Discipline :

Engineering

Secteur :

Clean Technology; Green/Alternative Energy; Sustainability & the Environment

Université :

Dalhousie University

Programme :

Accelerate

Innovation of Breakfast Cereals and Snacks for Control of Appetite and Post-Prandial Glycemia

Obesity and high levels of blood glucose are major risk factors for cardiometabolic diseases, such as type 2 diabetes and heart disease. Controlling food intake and blood glucose responses after a meal may help prevent the development of these diseases. Research suggests that people who consume breakfast cereals are at lower risk of cardiometabolic disease than those who skip breakfast. Given their health benefits, further improving the composition of breakfast cereals/snacks may further help regulate appetite and blood glucose responses. We will examine whether certain food constituents (e.g. dietary fibres, protein, resistant starches) added to breakfast cereals/snacks help regulate appetite, food intake and blood glucose in healthy adults, as compared to a traditional breakfast cereal. The proposed research will allow the partner organization to develop breakfast products that help individuals regulate their food intake and their blood glucose response after a meal, thus reducing their risk of developing cardiometabolic disease

Voir la description complète du projet
Superviseur du corps professoral :

Harvey Anderson

Étudiant :

Partenaire :

General Mills Canada

Discipline :

Life Sciences

Secteur :

Manufacturing

Université :

University of Toronto

Programme :

Accelerate

Investigating the knowledge, attitudes, practices, and perceptions of the eco-bio-social drivers of dengue virus transmission among residents living in urban São Paulo city, Brazil

Dengue virus (DENV) is a virus that is spread by some mosquitoes in Latin America and the Caribbean. In recent years, DENV has spread rapidly, particularly in Brazil. The climate greatly influences the biology of the mosquito and the virus. On top of that, there are social factors that allow DENV to spread including living in big cities where people are close together with mosquitoes living among them. Research has shown that misconceptions about DENV still exist. An individual’s knowledge, attitudes, practices, and perceptions (KAPP) about transmission pathways, treatment, and prevention can influence dengue infection. This is why it is important to understand the KAPP regarding the ecological, biological, and social (eco-bio-social) drivers of DENV outcomes among members of urban Brazilian communities. It is also critical to understand the relevant socioeconomic and demographic factors associated with dengue KAPP. We are proposing a parallel mixed-methods research project in collaboration between McMaster University in Canada and the University of Sao Paulo in Brazil. The implementation of this project will promote knowledge exchange, capacity building, cross-cultural understanding, and policy/public health impact. Findings from this study may inform dengue health education campaigns and vector control awareness in the study region and across the globe.

Voir la description complète du projet
Superviseur du corps professoral :

Lawrence Mbuagbaw

Étudiant :

Partenaire :

Universidade de São Paulo

Discipline :

Sociology

Secteur :

Education

Université :

McMaster University

Programme :

Globalink Research Award

The Atlantic Canada Retrofit Accelerator

This project aims to develop a systematic approach to deep energy efficiency retrofits for prevalent building archetypes in Atlantic Canada, resulting in a comprehensive roadmap for regional and national deep retrofit acceleration. As part of a larger federally-funded endeavor, it contributes to the establishment of regional hubs, known as “Retrofit Accelerators,” aimed at guiding building owners in implementing deep retrofit projects across Canada and aiding in meeting emission reduction targets outlined in the 2030 Emissions Reduction Plan. Collaborating with over 20 partner organizations, including NSCC, the project encompasses diverse research goals: understanding building quantities and types, establishing baseline data for current building conditions and energy performance, developing a comprehensive database, tracking retrofit progress, and assessing housing affordability and demographics. NSCC’s pivotal role involves academic support to identify building archetype data and articulate a retrofit roadmap for Atlantic Canada. The project aims to create tools, share findings, and foster collaboration for widespread progress.

Voir la description complète du projet
Superviseur du corps professoral :

Wayne Groszko

Étudiant :

Partenaire :

ReCover

Discipline :

Engineering

Secteur :

Construction and infrastructure; Professional, scientific and technical services

Université :

Nova Scotia Community College

Programme :

Accelerate

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