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

Eye tracking and ECG as flight crew workload indicators in a training context

Pilots are responsible for the safe operations of airplanes in complex environments. Therefore, is it essential that pilots receive high quality training. High quality training is dependent on instructor’s ability to provide constructive feedback and help pilots perform to the best of their abilities. The recent development of portable biometric sensors, such as the Apple Watch, open up a realm of possibilities for creating tools for instructors to provide quality feedback to pilot candidates. This partnership, between Keplr Intelligence and Concodia Vision Labs aims to combine the power of artificial intelligence with that of cognitive science to develop a tool which would enable instructors to better understand pilot candidates’ performance in the fast-paced, high-risk environment of flight training. This is expected to contribute to increasing flight safety and the quality of pilot training, all while strengthening Montreal’s position as a leader in aviation and artificial intelligence.

Voir la description complète du projet
Superviseur du corps professoral :

Aaron Johnson

Étudiant :

Partenaire :

Keplr Intelligence

Discipline :

Sociology

Secteur :

Education

Université :

Concordia University

Programme :

Accelerate

Developing Novel Biosensors for Remote Detection of Cardiac Arrest

When a citizen collapses from sudden cardiac arrest (SCA), it must be recognized before anyone can call 9-1-1 or bystanders can start cardiopulmonary resuscitation (CPR). In more than 75% of all SCAs, no one is there to witness the event, and resultant survival is near 0%. To address delays in detecting SCA and administering CPR, this project aims to develop wearable sensors to identify SCA and automatically call 9-1-1 with global positioning system (GPS) co-ordinates. Death from SCA is a significant and unrecognized epidemic in Canada affecting over 20,000 people annually. Immediate recognition of SCAs would have the potential to impact thousands of individuals and their families in Canada every year. This project is strategically aligned with the goals of our partner organization, CHÉOS,’ contributes to training the next generation of researchers and working cooperatively with other health research organizations, including those at the University of British Columbia and beyond, to develop and carry out research strategies that impact the health and wellbeing of Canadians.

Voir la description complète du projet
Superviseur du corps professoral :

Brian Grunau;Babak Shadgan;Calvin Kuo

Étudiant :

Partenaire :

Providence Health Care

Discipline :

Engineering

Secteur :

Health and Related Sciences & Technology; Professional, scientific and technical services

Université :

The University of British Columbia

Programme :

Accelerate

Improving technology for identifying environmental microplastics with machine learning

The average human consumes a credit card worth of plastic every week as a result of environmental microplastics. The tools and technology that are currently used to analyze chemical compound structures to identify polymer types in microplastics research are not well-calibrated for field-specific use. Raman spectroscopy data from microplastics samples is imperfect. Furthermore, plastics that have been weathered by environmental factors offer even less analytic certainty. Various environmental factors further skew the spectroscopy data. Machine learning tools and techniques can allow us to better calibrate the research tools for certainty in microplastics analysis.
This research study will not only improve our knowledge of microplastics spectroscopy data broadly, but also break new ground into understanding chemical compounds of plastics that have been weathered by various environmental processes. The significance of this project is to strive for a measurably improved predictive capacity of Raman spectroscopy data to help classify polymer types through an applied machine learning process.

Voir la description complète du projet
Superviseur du corps professoral :

Sheela Ramanna

Étudiant :

Partenaire :

Compound Connect

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

University of Winnipeg

Programme :

Accelerate

Performance de l’utilisation des fertilisants liquides organiques en condition de serre biologiques de plein sol

Le secteur de production de légumes biologiques en serre de plein sol est en essor au Québec. Afin de répondre à cette demande et si l’on veut accroître et la productivité de ces cultures et augmenter les superficies en mesure de produire 10-12 mois par année, il est impératif de combler les lacunes sérieuses en matière de nos connaissances sur l’impact des pratiques actuelles de gestion des nutriments afin d’assurer le maintien de la santé des sols et la qualité de l’environnement. L’objectif de ce projet est de 1) documenter la dynamique de l’azote (N) et du phosphore (P) en culture de serre de plein sol en fonction des pratiques culturales biologiques actuelles et de 2) Proposer et tester une méthode durable de gestion de l’N et du P. Le projet contribuera à assurer la durabilité de la ressource sol et de la production de légumes de serre de plein sol qui en plus d’être en essor constitue un moteur de la vitalité de l’économie locale dans plusieurs régions du Québec.

Voir la description complète du projet
Superviseur du corps professoral :

Jacynthe Dessureault-Rompré

Étudiant :

Partenaire :

Circulus AgTech Solutions Inc.

Discipline :

Earth science

Secteur :

Agriculture and Food; Sustainability & the Environment; Other

Université :

Université Laval

Programme :

Accelerate

Nutrient uptake and growth of vegetative and reproductive parts of thalli in Ascophyllum nodosum (Rockweed)

Ascophyllum is a perennial brown seaweed that is an important economic resource in eastern Canada in which hundreds of people are employed in the harvesting, processing and marketing of this alga. Growth of the vegetative parts of plants occurs mainly in the summer and fall, whereas growth and maturation of reproductive structures (i.e. receptacles) occurs mainly in the winter and spring. While the reproductive structure are photosynthetic, it is unclear the extent to which growth of these structures is based on nutrient uptake from the surrounding water and photosynthesis in the receptacles themselves, or if it is based on stored inorganic and organic nutrients in the vegetative thallus. The research will study these processes at the time of year when the receptacles are undergoing major growth.
This research will: (1) inform a previously unstudied aspect of the physiology and ecology of this important resource; (2) inform the potential of the species for bioremediation in coastal habitats of Nova Scotia; and (3) inform harvesting strategies based on a clearer picture of chemical composition of the plant.

Voir la description complète du projet
Superviseur du corps professoral :

David Garbary

Étudiant :

Partenaire :

Incheon National University

Discipline :

Life Sciences

Secteur :

Aquaculture and Fishing; Environmental Science and Technology; Life Sciences (not health)

Université :

St. Francis Xavier University

Programme :

Globalink Research Award

Les conséquences de la pandémie de COVID-19 sur la santé des étudiants et des employés universitaires : état de la situation et pistes de solution

En raison de la propagation mondiale de la COVID-19, le directeur général de l’OMS a décrété le 11 mars 2020 l’état de pandémie. Les populations scolaires, notamment universitaires, ont été les premières à être affectées par des fermetures d’établissement le 13 mars 2020. Des solutions d’urgence ont alors été mises en œuvre au sein des différents campus afin de permettre aux étudiants de finaliser leur trimestre d’hiver 2020. Ce passage du « présentiel » vers le « numérique » a demandé aux étudiants et aux employés de déployer des énergies considérables afin de s’adapter à cette nouvelle réalité. Ces solutions qui avaient été imaginées comme temporaires se sont depuis maintenues et diversifiées dans l’ensemble des établissements d’enseignement supérieur. C’est ainsi que des milliers d’étudiants et d’employés du réseau de l’Université du Québec (+/- 100 000 personnes) se retrouvent actuellement dans un contexte de télé étude ou de télé travail. C’est dans le but de décrire les conséquences de la pandémie de COVID-19 sur cette population universitaire et de mettre en place des solutions concrètes pour faire face aux enjeux de santé identifiés qu’est entreprise cette étude en trois volets.

Voir la description complète du projet
Superviseur du corps professoral :

Christiane Bergeron-Leclerc;Danielle Maltais

Étudiant :

Partenaire :

Syndicat des professeures et professeurs de l'Université du Québec à Chicoutimi

Discipline :

Sociology

Secteur :

Other services (except public administration)

Université :

Université du Québec à Chicoutimi

Programme :

Accelerate

Field evaluation of Humic Land, a biological promoter of corn growth and the soil microbiome

Humic Land is a 100% organic fertilizer that was produced from black peat using innovative technology that protects live soil microorganisms. It contains complex organic compounds known as humic substances and a microbial consortia that can biologically promote the growth of field crops. Since corn plants that obtain a balanced nutrient supply from the soil microbiome are expected to grow larger and have faster phenological development, compared to their counterparts that have a suboptimal nutritional balance, we evaluated the agronomic performance of Humic Land on field-grown corn. Humic Land is being tested for its effectiveness as a seed priming treatment and as a soil-applied inoculant to boost corn growth in a replicated field research trial. The project will demonstrate the commercial potential of Humic Land for corn production in realistic field environments in Canada.

Voir la description complète du projet
Superviseur du corps professoral :

Joann Whalen

Étudiant :

Partenaire :

Rogitex

Discipline :

Life Sciences

Secteur :

Wholesale trade

Université :

McGill University

Programme :

Accelerate

Estimation of turbine runner blade measured strains from indirect measurements using machine learning

Hydro-Québec has data acquisition systems for a multitude of sensors, some of which have been installed since almost 20 years in its electrical generation equipment (turbine-generator units – TGU). The collected data is primarily used to ensure that the information is adequate in the event of an equipment breakdown or for specific behavioral studies. Data from monitoring systems are little used in routine maintenance management activities, often due to lack of time and adequate and/or effective analysis methods.
Equipment maintenance is an important part of Hydro-Québec’s equipment management activities. The creation and maintenance of a surveillance system is a major investment for the company. With the development of machine learning analysis approaches, the goal is to provide operators with a clearer view of real-time asset status and predictions about their potential for use.

Voir la description complète du projet
Superviseur du corps professoral :

Ioannis Mitliagkas

Étudiant :

Partenaire :

Institut de Recherche Hydro-Québec

Discipline :

Computer science

Secteur :

Professional, scientific and technical services; Utilities

Université :

Université de Montréal

Programme :

Accelerate

Collagen-based composite bioink development

The continuous world innovation in the manifacturing techniques led to the development of highly precise technologies such as 3D printing. This technique has been then further improved in such a way to print biomaterials and cells, with extreme precision. It constitute a significant innovation for tissue engineering research. Collagen, the most abundant protein of the human body, is one of the most used and promising biomaterials in tissue engineering, since it provides a favorable environment for cell activities. However, it is mechanically weak, suitable for soft matrix, and for this reason 3D printing is highly challenging. The targeted strategy to overcome this drawback is to combine collagen with other biomaterials, which should act as mechanical reinforcement for the matrix, thus providing the required properties for bioprinting. The hybrid matrix must represent a favorable biological environment for embedded cells. This brings to the choice of natural-derived biomaterials as support to collagen. In this project, we propose a combination of hyaluronic acid and collagen to obtain a printable formulation. The hybrid matrix will be prepared and fully characterized for the printability, and the biological outcome.

Voir la description complète du projet
Superviseur du corps professoral :

Diego Mantovani

Étudiant :

Partenaire :

AO Research Institute Davos

Discipline :

Engineering

Secteur :

Advanced Manufacturing; Biotechnology; Health and Related Sciences & Technology

Université :

Université Laval

Programme :

Globalink Research Award

Développement d’un outil de détection des mucines oculaires pour l’amélioration de la médication en ophtalmologie

Avec l’augmentation du nombre de personnes sur Terre et du vieillissement dans le monde, les maladies oculaires deviennent des enjeux économiques et sociétaux. De nombreuses recherches sont en cours pour développer des vecteurs de médicament mucoadhésifs pour ces maladies afin d’améliorer l’administration des médicaments dans les gouttes ophtalmiques. Cependant, chaque individu possède une composition en mucine oculaire différente et certaines pathologies oculaires modifient également la muqueuse oculaire. De ce fait, le développement d’une plateforme moléculaire de dosage de mucines présentes à la surface oculaire, de manière sensible et sélective, permettrait d’améliorer efficacement le diagnostic dans certains cas et également le traitement de maladies oculaires en proposant le vecteur de médicaments le plus adapté pour chacun. L’objectif de ce travail consiste donc à proposer une plateforme de détection à base de monocouche auto-assemblées fonctionnalisée avec des nanoparticules d’or et des aptamères spécifiques des mucines à détecter par spectroscopie Raman exaltée par effet de surface (SERS).

Voir la description complète du projet
Superviseur du corps professoral :

Élodie Boisselier

Étudiant :

Partenaire :

Université de Bordeaux 1

Discipline :

Physics

Secteur :

Nanotechnology; Biotechnology; Health and Related Sciences & Technology

Université :

Université Laval

Programme :

Globalink Research Award

Assessing Canadian Real-estate Stock for Sustainable Futures

Canada is one of the nations that committed towards mitigation of climate change and the Paris climate goals, which mandates major actions to modify the current GHG emissions in the Canadian context. Buildings are the primary consumers of Canada’s produced energy and one of the major GHG contributors. This project aims at assessing the possibility of transforming the ageing building stock through deep retrofit. A toolkit will be developed to prioritize the most effective retrofit options as a function of building type. The toolkit will combine various strategies in order to diminish energy consumption while minimizing GHG emissions associated with the renovation process. The real estate project partner will receive an assessment for a flagship pilot project building for a future implementation process.

Voir la description complète du projet
Superviseur du corps professoral :

Ursula Eicker

Étudiant :

Partenaire :

Gestion Immobilière Quo Vadis

Discipline :

Engineering

Secteur :

Construction and infrastructure

Université :

Concordia University

Programme :

Accelerate

Linking hands-on learning education program and internship: A cooperative education to apply the forest inventory theories learned in the classroom to industry practice

Interns will participate in forest growth and yield (G&Y) research projects. G&Y studies are used to assess the impacts of forest management practices and to set harvest levels to safeguard sustainability. Conducting G&Y studies is a foundational skill provided by contractors or undertaken directly by forest companies or regulators who require the information. This work requires field skills, and both data and project management competencies due to the complexity and long-term requirements of the work. Interns will be expected to work collaboratively with mentors on projects designed to investigate the impacts of aspen on the growth of white spruce and the growth of the spruce trees after deciduous removal. Thus, the proposed internships will help develop a pool of highly skilled future professionals to meet the needs of the forestry industry.

Voir la description complète du projet
Superviseur du corps professoral :

Jean-Marie Sobze;Binyam Tedla

Étudiant :

Partenaire :

fRI Research

Discipline :

Life Sciences

Secteur :

Agriculture; Other services (except public administration); Professional, scientific and technical services

Université :

Northern Alberta Institute of Technology

Programme :

Accelerate

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