Projets novateurs réalisés

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

31 620 projets complétés

2978
AB
5221
C.-B.
856
MB
696
NL
899
SK
9419
ON
9858
QC
98
PE
619
NB
1192
NS

Projets par catégorie

Caractérisation de la dynamique fluviale à court et moyen terme afin de rétablir les processus hydrogéomorphologiques (HGM) pour l’amélioration de l’habitat pour le saumon atlantique

Les rivières au Québec et au Canada ont été perturbées par les activités humaines pendant plusieurs décennies. Ces perturbations (linéarisation, barrages, murets, enrochements…) ont eu comme conséquences de modifier la morphologie et la dynamique de plusieurs cours d’eau. En réponse à ces nouvelles conditions, des changements au niveau des processus hydrogéomorphologiques (HGM) apparaissent dans nos cours d’eau. Les processus HGM font partie des services écosystémiques des cours d’eau, et ce, autant pour l’habitat que pour la sécurité civile. Le projet de recherche se réalisera sur la rivière des Escoumins, où des enrochements, un ancien barrage démantelé (1ere fois au Canada) et des modifications dans le cours d’eau engendrent des déficits sédimentaires par endroit et des surplus ailleurs, diminuant la géodiversité et la qualité de l’habitat pour le saumon et la truite de mer. Le présent projet cherche à mettre en place une stratégie novatrice et globale afin de restaurer les processus HGM et d’établir la possibilité de reconnecter des anciens méandres abandonnés lors des phases de linéarisation du cours d’eau. L’objectif à long terme est de conserver, reconstruire et rétablir l’habitat du saumon d’Atlantique sur différentes sections de la rivière Escoumins.

Voir la description complète du projet
Superviseur du corps professoral :

Maxime Boivin

Étudiant :

Partenaire :

Corporation de gestion de la rivière à saumon des Escoumins

Discipline :

Earth science

Secteur :

Agriculture

Université :

Université du Québec à Chicoutimi

Programme :

Accelerate

Formulation of Environmentally Sustainable Growing Media Using Industrial Waste Streams as Nutritious Amendments

In light of the national emphasis on climate change and clean growth, the federal and provincial governments have set key goals for developing and implementing globally sustainable production and consumption models in ways that improve the environment. The agricultural industries are seeking innovation and new technologies to develop more choices and alternatives in the raw materials for growing media, with considering environmental and economic sustainability as key driver. The proposed project aims to identify new environmentally sustainable and commercially viable materials from industrial waste streams for promising applications as nutritional amendments for an eco-friendly growing media. The partner organization, BlueSky Organics, will benefit from promoting the new sustainable growing media (substrate) materials developed through this research, to further establish in the market and roadmap collaboration/partnership with Canadian agricultural and forest sectors. This will also create more opportunities for the industry to contribute to circular economy agenda by establishing standard practice guidelines for the management and recycling of industrial wastes and by-products.

Voir la description complète du projet
Superviseur du corps professoral :

Sumi Siddiqua

Étudiant :

Partenaire :

BlueSky Organics

Discipline :

Engineering

Secteur :

Agriculture

Université :

The University of British Columbia - Okanagan

Programme :

Accelerate

Additive Manufacturing of Molds for the Mass-Production of Mechanical Ventilators during the COVID-19 Pandemic

The ongoing outbreak of COVID-19 has increased the demand for critical supplies such as test kits, protective equipment, and, most importantly, mechanical ventilators. The injection moulding process is well suited to manufacture various components of mechanical ventilators. Improving mold designs is a key factor in the mass production of the injection molding of parts. In this project, we are proposing to use an additive manufacturing process to 3D print molds for the mass production of mechanical ventilators parts. Complicated conformal cooling channels can be designed around the mold cavity to reduce the cycle time and, thus, improve the overall productivity of the injection molding process. The design and optimization of conformal cooling channels will take place both analytically and numerically. Moreover, the capabilities of the L-PBF machine to print functionally graded material will be utilized to improve the mechanical properties of molds. Moreover, finite element analysis will be used to model the performance of the conformal cooling channels. Numerical analysis techniques will be used to avoid the adverse effect of the residual stresses and part distortion expected to occur in the printed molds. Finally, the printed molds will be tested to print parts of the mechanical ventilator.

Voir la description complète du projet
Superviseur du corps professoral :

Eugene Ng

Étudiant :

Partenaire :

Additive Manufacturing International

Discipline :

Engineering

Secteur :

Manufacturing

Université :

McMaster University

Programme :

Accelerate

Improved Commentary Prediction on Financial Data

Companies rely on financial reports which are generated through various transactions such as sales and expenses to understand the discrepancies between actual performance and financial forecast. Accordingly, generating commentaries on financial data might be considered as a routine operation for many companies. The previous studies indicate that machine learning algorithms can be used to automate the process of commentary generation. Specifically, such approaches use product forecasts and actuals in addition to inventory and point-of-sales data for the underlying prediction task. To incorporate these models in their daily activities, our partner proposes the development of a graphical user interface to allow end-users to interact with the model. By acquiring a deeper understanding of the data, we propose to improve the developed model in various ways. First, by engineering new features from the existing data, we aim to enhance the learning process and develop highly accurate models. Second, we plan to investigate time series classification approaches with deep neural networks considering that such methods enable pattern learning at different levels of detail. Finally, we consider applying natural language processing techniques to process commentaries and extract topics which provide a deeper understanding of the commentaries and serve as a validation tool.

Voir la description complète du projet
Superviseur du corps professoral :

Mucahit Cevik

Étudiant :

Partenaire :

Unilever Canada Inc

Discipline :

Engineering

Secteur :

Manufacturing; Wholesale trade

Université :

Toronto Metropolitan University

Programme :

Accelerate

Détermination du potentiel virucide de fils textiles contre le coronavirus

Récemment et avec l’apparition du SRAS-CoV-2, la demande, tant au niveau personnel que professionnel, pour des produits textiles conférant une protection contre ce virus a littéralement explosée. La compagnie FilSpecMC a développé une gamme de fils techniques innovants pour la production de produits textiles médicaux qui possèdent des propriétés antibactériennes. Dans ce projet, nous désirons tester ces produits textiles ont un potentiel virucide contre le coronavirus. Les résultats permettront à FilSpecMC de se positionner avantageusement comme leader dans la recherche et le développement de produits textiles avant-gardistes et répondre aux besoins de protection des professionnels dans le domaine médical.

Voir la description complète du projet
Superviseur du corps professoral :

Nancy Dumais

Étudiant :

Partenaire :

FilSpec

Discipline :

Life Sciences

Secteur :

Manufacturing

Université :

Université de Sherbrooke

Programme :

Accelerate

Data Ethics & Privacy by Design: Unlocking Health Innovation

Healthcare innovation is a major focus across Canada and the globe. It can be defined as, “activities that generate value in terms of quality and safety of care, administrative efficiency, the patient experience, and patient outcomes. Efforts are underway to transform health care by leveraging technology and data so that Canadian provinces and territories promote efficient use of limited resources and blaze the trail for new medical treatments and services. This shift has resulted in exciting innovations and the emergence of numerous health-related commercial companies and start-ups across Canada.
Additionally, big data demands, as well as the increasing commoditization and economic value attributed to health and health data is on an upward trajectory with no indication that it will slow down or decrease.
The commercialization benefits of data have pushed privacy boundaries and tested consumer trust at new heights, both within Canadian healthcare and elsewhere in the world.
This proposal addresses the need to implement ethics and privacy design to unlock health innovation. Privacy and data ethics will be explored and will include ethical approaches for health innovation by exploring a big data, commercialization, artificial intelligence & emerging devices and technologies.

Voir la description complète du projet
Superviseur du corps professoral :

Tom Cooper

Étudiant :

Partenaire :

BreatheSuite

Discipline :

Sociology

Secteur :

Professional, scientific and technical services

Université :

Memorial University of Newfoundland

Programme :

Accelerate

Optimizing the COVID-19 response capacity at the Canadian Red Cross (CRC) through technical and evidence-based support to CRC’s Global Health Unit

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The Canadian Red Cross (CRC) has been at the forefront of providing support to the COVID-19 response in Canada. The Global Health Unit (GHU) at CRC is providing health-related technical and operational support to CRC in its efforts to combat the impact of COVID-19 in Canada. To optimize the CRC operations, the GHU is striving to provide quality evidence-based technical and operational guidance to the CRC program implementers who are working in the field to operationalize the public health measures put in place by the Government of Canada. The research will provide the scientific basis for CRC’s COVID-19 related work, contributing to COVID-19 response in Canada and globally through knowledge sharing activities.

Voir la description complète du projet
Superviseur du corps professoral :

Amardeep Thind

Étudiant :

Partenaire :

Canadian Red Cross (Ottawa, ON)

Discipline :

Life Sciences

Secteur :

Health and Related Sciences & Technology; Other services (except public administration)

Université :

The University of Western Ontario

Programme :

Accelerate

BI-Driven Management of Patient Flows in Health Care Organizations

Hospitals in Ontario are operating at congestion levels that translate into long wait times, staff burnout, and inefficiencies. Decisions coping with problems are made based on incomplete data which may be days out of date because the data is collected, processed and delivered manually in an ad hoc manner. Furthermore, these decisions may be optimal for a particular department, but sub-optimal for the hospital as a whole. Our proposed research project will develop a systematic, model-based framework that supports the development and deployment of applications to collect, process and deliver data in a continuous, timely fashion to support the management, analysis and decision support of patient flows. The focus will be on cardiac patient flow management at a hospital in Brampton (William Osler Health System). This will increase the effectiveness and efficiency of organization operations and improve outcomes and user experience for both the public and organizational staff.

Voir la description complète du projet
Superviseur du corps professoral :

Daniel Amyot

Étudiant :

Partenaire :

IBM Canada Ltd;University of Ottawa

Discipline :

Engineering

Secteur :

Information and cultural industries; Manufacturing; Professional, scientific and technical services

Université :

University of Ottawa

Programme :

Accelerate

A Systemization of Knowledge on the Dual Nature of Technology in Providing Support to Sexual Assault Survivors

In light of the COVID-19 pandemic, there has been an increase in sexual assault incidents. Research shows that when there are disasters and economic meltdowns, there is usually a spike in sexual assaults. The world is experiencing both a pandemic and economic downturn. With self-isolation, social distancing, and the stay-at-home orders, the use of technology to provide support to survivors is now more critical than ever before. However, the use of technology could be a double-edged sword. Using technology to support survivors could sometimes increase the risk for survivors. Our research aims to provide a systemization of knowledge on research involving the use of technology to support survivors. Based on our findings, we can identify technological gaps and develop guidelines on how technology can better support these vulnerable populations during these unprecedented times and beyond.

Voir la description complète du projet
Superviseur du corps professoral :

Konstantin Beznosov

Étudiant :

Partenaire :

Vesta Social Innovation Technologies Inc

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

The University of British Columbia

Programme :

Accelerate

Structural characterization and mechanism-based inhibition of TMPRSS2, a human protease that activates SARS-CoV-2

The novel SARS-Coronavirus-2 becomes activated and is infective after interacting with the human TMPRSS2 enzyme, as it primes the virus to enter and hijack lung cells for viral replication. By designing drugs using a strategy that has shown success in inhibiting enzymes structurally similar to TMPRSS2 and understanding the exact shape of this enzyme in greater detail, highly specific drugs can be engineered to block SARS-CoV-2 activation and alleviate symptoms contributing to COVID-19 mortality. Through a collaboration between BC Cancer and the Structural Genomics Consortium, promising COVID-19 therapeutics predicted to block TMPRSS2 can be produced and tested experimentally, then translated to clinical study in an accelerated manner through the combined expertise of leading scientists and clinicians.

Voir la description complète du projet
Superviseur du corps professoral :

Francois Benard

Étudiant :

Partenaire :

Structural Genomics Consortium

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

The University of British Columbia

Programme :

Accelerate

Assessment of anti-viral, anti-bacterial and anti-fungal properties of metal-ion-filament laced 3D-printed personal protective equipment

3D-printed personal protective equipment can provide a locally-sourced manufacturing network to address shortages for Canadian front-line workers during the COVID-19 pandemic, however little is known about the harmful germs that can live on 3D-printed material. Certain metals-ions are known to have anti-microbial properties and can be incorporated into 3D-printed plastics. We will study the anti-microbial properties of metal-laced 3D-printed plastics by assessing the presence of bacteria, and fungi on the plastics, and then determine optimal disinfection times and formulations to reduce contamination on 3D-printed personal protective equipment. We will also test the effectiveness of these metal-laced 3D-printed plastics in killing viruses, including the novel coronavirus.
At DECAP Research and Development Inc. our mission is to design, test and manufacture customizable 3D-printed protective equipment. Currently, our efforts are focused on optimizing and conducting research on 3D-printed personal protective equipment to enhance front-line worker safety and prevent the spread of COVID-19.

Voir la description complète du projet
Superviseur du corps professoral :

Horacio Bach

Étudiant :

Partenaire :

DECAP Research and Development Inc

Discipline :

Life Sciences

Secteur :

Manufacturing; Professional, scientific and technical services

Université :

The University of British Columbia

Programme :

Accelerate

A Principled Approach to Developing Machine Learning Models for the Synthesis of Structured Health Data

Under the current pandemic of Covid-19, sharing health record data has tremendous benefits to control the spread of the infection and save lives globally. In medical research and discovery, Electronic medical records (EMRs) play the essential role for medical discovery in two categories, namely 1) cross-sectional study and 2) longitudinal study. Cross-sectional study compares different population groups at a single point in time while in longitudinal study, researchers conduct several observations of the same subjects over a period of time. Sharing EMRs across medical institutes in a wide scale, both risk the privacy limit of patients. Recent research has been developed to mitigate risk including record simulation via advanced neural networks. While showing promise in certain applications, these models have limitations in handling cross sectional heterogeneous data and have not been applied to longitudinal EMRs. This proposal aims to develop a principled approach with rigorous methodology to derive (a) machine learning models to synthesize EMRs of health data and (b) utility analysis of the data synthesis.

Voir la description complète du projet
Superviseur du corps professoral :

Yan Liu;Bei Jiang;Linglong Kong;Adam Kashlak

Étudiant :

Partenaire :

Replica Analytics

Discipline :

Computer science

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

Concordia University; University of Alberta

Programme :

Accelerate

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Mitacs — Retour sur innovation

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.