Projets novateurs réalisés

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

31 914 projets complétés

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878
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703
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98
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629
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Projets par catégorie

Spectral Methods in Quantum Kernel Classifiers

Quantum Machine Learning is an emerging field of science, exploring the role that quantum computers can play when combined with machine learning models and methods. Within this field, kernel methods have quickly become one of the most promising and exciting techniques to show benefits in performance, even when using the current primitive quantum computers that are available today. Despite these exciting experiments, a deep understanding of the role played by the quantum system in kernel methods, and the origin of the benefits is still lacking. This project seeks to further develop the fundamental theory and conduct simulations in order to deepen understanding and further improve this emerging technology.

Voir la description complète du projet
Superviseur du corps professoral :

Achim Kempf

Étudiant :

Partenaire :

Xanadu

Discipline :

Computer science

Secteur :

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

Université :

University of Waterloo

Programme :

Accelerate

Optimization of Waste-to-Resource Plants with Machine Learning and Multi- Objective Reinforcement Learning

In waste-to-resource processes, variations in operating conditions are common, to accommodate varying process objectives and ambient disturbances. In these cases, well-tuned operating conditions are disrupted, and correlations among process and quality variables are broken, leading to unexpected outcomes. Due to large number of involved variables and their complex relations, it is challenging to re-tune system parameters. Further, process optimization focus may change, or multiple objectives need to be optimized concurrently. Therefore, the goal of this project is to optimize the waste-to-resource plants owned by Anaergia by developing a set of advanced time series, machine learning and reinforcement learning algorithms, aimed at improving the existing parameter tuning and optimization mechanism. The proposed research program addresses the aforementioned challenges through 3 projects: a) Develop machine learning models to detect key correlations from the data for further process modeling; b) Design multi-objective reinforcement learning based recommendation system for multiple optimization objectives; c) Develop a process monitoring and diagnosis framework for real-time anomaly detection and root cause analysis.

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Superviseur du corps professoral :

Qinqin Zhu;Hector Budman

Étudiant :

Partenaire :

Anaergia Inc.

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

University of Waterloo

Programme :

Accelerate

Dans leurs souliers : Expériences maternelles de femmes outaouaises monoparentales – Partie 2

Le projet de recherche examine l’expérience maternelle des femmes marginalisées dans la région d’Ottawa-Gatineau. En collaboration étroite avec le Centre espoir Sophie et ses utilisatrices, nous nous pencherons sur les besoins des mères monoparentales en soutien matériel, social et psychologique, leur utilisation des services communautaires de santé mentale, les barrières à l’utilisation de ces services, ainsi que les facteurs liés à leur résilience. Ceci appuiera l’organisme partenaire dans sa mission d’offrir des services qui sont adaptés aux besoins de ses utilisatrices. La collecte de données se fera par l’entremise d’entretiens semi-dirigés et de la technique Photovoice, dans laquelle les participantes documentent leur réalité à l’aide d’une caméra et la partagent afin d’avoir une voix active dans le développement, l’interprétation et la dissémination des connaissances à leur endroit.

Voir la description complète du projet
Superviseur du corps professoral :

Julie Gosselin

Étudiant :

Partenaire :

Mental Health Research Canada;Centre espoir Sophie

Discipline :

Sociology

Secteur :

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

Université :

Université du Québec en Outaouais

Programme :

Accelerate

Fabrication of a cost-effective microfluidic eye model for high throughput screening and testing of ophthalmic materials and drugs

Toxicity testing of ophthalmic products is an important step in developing new eye products. Microfluidic devices, such as lab-on-a-chip, are an effective way to evaluate the toxicity of new products prior to animal testing. However, the current methods to create these microfluidic chips are too time-consuming and expensive for high-throughput screening. The objective of this project is to develop a cost-effective and rapid method to fabricate microfluidic chips with human corneal cells. This device will be used to measure a variety of tests, such as the toxicity of preservatives and drugs released from contact lenses. The development of this microfluidic eye model will be immensely useful for screening the toxicity of ophthalmic products.

Voir la description complète du projet
Superviseur du corps professoral :

Lyndon Jones

Étudiant :

Partenaire :

OcuBlink

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

University of Waterloo

Programme :

Accelerate

Developing best practices for culturally appropriate programming to promote mental health equity among BIPOC youth

Mental health is a growing concern for Canadian youth, with higher rates of mental health concerns in youth who are BIPOC. As a result, many mental health programs are established to detect and treat concerns in youth, with the goal of reducing mental health burden in adulthood. However, BIPOC youth face many systemic barriers to accessing mental health resources, therefore highlighting the need for mental health programs to acknowledge the unique needs of BIPOC youth. The proposed research project aims to develop best practice guidelines for delivering culturally appropriate mental health programming for BIPOC youth. To accomplish this objective, best practice guidelines will be supported through a literature review, an environmental scan to identify BIPOC-focused mental health organizations, and knowledge gathered from focus groups and sharing circles with BIPOC youth. Outcomes from this project will support Jack.org’s programming for increasing access to equitable and inclusive mental health resourcing across Canada.

Voir la description complète du projet
Superviseur du corps professoral :

Eva Pila

Étudiant :

Partenaire :

Mental Health Research Canada;Jack.org

Discipline :

Sociology

Secteur :

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

Université :

The University of Western Ontario

Programme :

Accelerate

Next-generation pulmonary 3D models and to unravel the role of complex immune-structural cell interactions in chronic obstructive pulmonary disease (COPD)

No cure currently exists for COPD, which affects 2.6million Canadians and include airway-scarring and destruction of the airspaces due to chronic cigarette smoking. In the lungs, the airways are lined with a structural-cell layer, called an epithelium, which much like our skin, protects the lung from inhaled particles including cigarette smoke. The epithelium communicates with other lung structural cells called fibroblasts to help repair the airway when it is damaged. However, we do not know how the epithelium and fibroblasts interact with immune cells which are responsible for the chronic inflammation that occurs in COPD. In this project, a 3D bioprinter will be used to make artificial lung tissue that closely resembles the real lung environment using epithelial cells, fibroblasts and immune cells from COPD patients and healthy control subjects. This artificial tissue will help understand how immune-structural-cell-interaction cause inflammation and scarring in COPD and possibly identify new therapeutic targets.

Voir la description complète du projet
Superviseur du corps professoral :

Emmanuel Twumasi Osei

Étudiant :

Partenaire :

Providence Health Care

Discipline :

Life Sciences

Secteur :

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

Université :

The University of British Columbia - Okanagan

Programme :

Accelerate

Detection and Classification of Pavement Defects Using Computer Vision

The objective of the project is to automate the detection of pavement defects. Defects can be of different types: cracks, deformations, potholes and others. These defects are cataloged and detailed in standards established by the Quebec Ministry of Transport in Quebec and various authorities in other regions of the world. At present, the inspection of pavement defects (e.g. potholes, cracks, ruts) is mainly done manually. Inspectors crisscross the roads or scrutinize images taken from inspection vehicles. Some existing systems include an element of automation, but these systems are both expensive and not very adaptable to different regional conditions.
This project with Rival Solutions (RSI) seeks to automate this process using Computer Vision methods applied on geotagged images. The subject of study will be mainly Quebec, a region subject to climatic hazards, which have a significant impact on the condition of its road infrastructure.

Voir la description complète du projet
Superviseur du corps professoral :

Amin Hammad

Étudiant :

Partenaire :

Rival Solutions Inc.

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

Concordia University

Programme :

Accelerate

Durability of EV’s Battery Pack Joints

To address the global concerns regarding climate changes and increase of earth temperature, carbon dioxide emission has to be removed/reduced. A major source of Co2 emission is transportation vehicles, which account for close to 30% of Canada’s greenhouse gas emissions. An active method to reduce this significant contribution to global warming is electrification of transportation vehicles. Battery operated vehicles are the cornerstone of automotive electrification. To improve the efficiency and safety of these batteries, structural durability of them must be maintained. This project studies the requirements for structural soundness of major weld/joints in a typical battery packs. The joints that are considered in this study include battery terminal to battery connection tabs, new lead-free solder joints, and seam weld used on the housing of battery cells and battery packs. Results will be implemented by Stellantis to expand their adaptation of Battery electric vehicles.

Voir la description complète du projet
Superviseur du corps professoral :

Hamid Jahed

Étudiant :

Partenaire :

FCA Canada

Discipline :

Engineering

Secteur :

Manufacturing

Université :

University of Waterloo

Programme :

Accelerate

Wellness @ Work, Stage 1

According to the HRPA “1 in 5 Canadians are experiencing symptoms of depression, anxiety or posttraumatic stress disorder and 68% who reported a mental health issue reported that their mental health has worsened since the pandemic.”
In the private sector, depression alone causes an estimated 200 million workdays per year, or about $17-$44 billion in financial losses – or about $15,000 per employee experiencing mental health issues. We expect that immersive and virtual experiences can provide people with a virtual world of wellness where they can improve their health and well-being and assist in improving mental health and wellness. At a high-level, this project seeks to address mental health in the workplace through the development of an immersive virtual reality world that
implements research backed psychological interventions for individuals to experience in the work-place or at home, to increase their mental health, resilience, and physical health. Imagine for a moment a future where it becomes commonplace to take a 15 minute “reset” at work, where you can enter a virtual world and attend a meditation session on a beach, before returning to your work day. Or perhaps, that you finish work and return home stressed and tired. Before interacting with your friends and family, you wash the day’s stress away in Esvedra, and emerge with your mind refreshed and in a positive mindset. We believe that these digital spaces will be the future of wellness.

Voir la description complète du projet
Superviseur du corps professoral :

Ben Unterman

Étudiant :

Partenaire :

EsVedra Wellness Inc.

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

Emily Carr University of Art + Design

Programme :

Business Strategy Internship

Accounting Internship

The purpose of this project is to ensure Breakaway remains at the forefront of technology utilization in the accounting industry. Our belief is that embracing the next generation of accountants and their unique experiences and perspective surrounding technology and communications will provide our firm with innovative strategies for the adoption and utilization of tools and technology as well as a progressive marketing plan. As Breakaway is a small and technology focused business, we are in a unique position to quickly adapt to changes in technology in order to continually enhance operational efficiencies and methods of providing value to our clients. The assistance and fresh perspective of a student intern is critical in the identification and implementation of technology, and the most effective means of communicating with existing and prospective clients in an online environment. This will be achieved through the student’s use of three formal environmental scans (S.W.O.T Analysis) throughout the 8-month project to identify areas for improvement. These scans will inform the social media and marketing research and recommendations and content created by the student throughout the internship, as well as the technology based research which will be the focus of the second term.

Voir la description complète du projet
Superviseur du corps professoral :

Ryan Young

Étudiant :

Partenaire :

Breakaway Chartered Professional Accountants LLP

Discipline :

Business

Secteur :

Professional, scientific and technical services

Université :

Northern Alberta Institute of Technology

Programme :

Business Strategy Internship

Accelerate Getting Research into Practice (A-GRIP)

There is a growing disconnect between the areas of focus in innovation research occurring at universities and the practical concerns, needs and direction of the animal production industry. Research has shown that ongoing communication and interaction between researchers and end-users is necessary, both before and during research, in order to ensure that research conducted is applicable and meets industry needs. Therefore, this proposal aims to increase knowledge transfer between producers and researchers via the development of digital content – namely, (1) a series of producer interviews, to highlight the state-of-the-art of innovation on-farm in Ontario, and production pinch-points, (2) a series of researcher interviews, to discuss the highs and lows of getting research into practice (GRIP), and (3) white articles to summarize the findings as well as to highlight recent trends and challenges in the industry (eg. with respect to climate change, use of antimicrobials, etc.). The overall goal is to bridge the gap and allow (in particular) early career researchers, graduate and undergraduate students improved insight into on-farm innovation, production pinch points, and what it takes to get research into practice, such that their research programs become better informed and more applicable to real-world problems.

Voir la description complète du projet
Superviseur du corps professoral :

Jennifer Ellis

Étudiant :

Partenaire :

Livestock Research Innovation Corporation

Discipline :

Life Sciences

Secteur :

Agriculture

Université :

University of Guelph

Programme :

Business Strategy Internship

Étude de l’achalandage et de la valeur économique des services écosystémiques au parc du Mont-Bellevue

Le besoin grandissant d’espaces verts en temps de pandémie, l’engouement croissant pour le plein air ainsi que le développement domiciliaire à proximité du Parc du Mont-Bellevue amplifient les pressions anthropiques sur ses écosystèmes. Dans l’optique d’assurer la protection à long terme du parc, l’Université de Sherbrooke et la Ville de Sherbrooke envisagent de restaurer les services écosystémiques du parc (qualité des sentiers, achalandage, connectivité verte, biodiversité et qualité des écosystèmes, opportunités de recherche et d’éducation).
Pour la mise en oeuvre de ce projet, nous réalisons une enquête en ligne en vue de déterminer la valeur économique des caractéristiques des services écosystémiques et la valeur de l’achalandage.
Nous anticipons une valeur positive de la volonté à payer des répondants pour les caractéristiques des services écosystémiques.
Les résultats profiteront aux membres du comité de cogestion du Parc du Mont-Bellevue, issus de l’Université de Sherbrooke, du Regroupement du Parc du Mont-Bellevue et de la Ville de Sherbrooke. Si les résultats sont tels qu’attendus, ceux-ci profiteront également à la population générale du Québec dans la mesure où les résultats obtenus inciteront les divers paliers gouvernementaux, notamment les villes, à renforcer leurs politiques de conservation, de protection, de restauration et de mise en valeur des territoires naturels.

Voir la description complète du projet
Superviseur du corps professoral :

Jie He

Étudiant :

Partenaire :

Regroupement du parc du Mont-Bellevue

Discipline :

Sociology

Secteur :

Other services (except public administration)

Université :

Université de Sherbrooke

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.