Projets novateurs réalisés

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

31 133 projets complétés

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685
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601
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Projets par catégorie

Understanding design principles of music and health care education as interdisciplinary field and developing an online education program: a qualitative study

How can we bring better co-design into on-line Learning Design practice? How can co-design foster creativity and collaboration for adult online learning education?
Co-design has been used to create solutions for some of the most challenging problems we face in society. Government and public policy, community, healthcare and human services have all made use of the principles, processes and practical tools co-design can bring, creating a legacy of research and toolkits to learn from and apply. In education, we see examples in initiatives involving students as partners, co-design applied in learning transformation initiatives with staff and students, and collaborations involving teachers, industry experts, students, technical experts, media experts and learning designers to create new courses and programs.
The year 2020 changed our educational landscape dramatically, as institutions were forced to move courses online due to lockdowns caused by the COVID19 pandemic (Kimmel et al., 2020). In this situation, the reason to go online was different from the usual scaling up and making educational offerings accessible to broader audiences. As courses that were not initially designed for remote instruction were forced to go online, unanticipated difficulties arose (Serhan, 2020).

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Superviseur du corps professoral :

Teresa Chan

Étudiant :

Partenaire :

Vuesprit College

Discipline :

Sociology

Secteur :

Education; Information and Communications Technology; New and Digital Media

Université :

McMaster University

Programme :

Accelerate

Plenty Canada Water Management System (Continued)

Development and oversight of an integrated water and waste management system including rainwater harvesting, grey water reuse for toilet flushing and irrigation, vertical and horizontal flow constructed wetland for septic treatment paired with outdoor composting toilets for seasonal use, and permaculture landscaping for passive rainwater retention. Upon completion, ongoing testing and monitoring procedures will be developed and implemented to collect data on rainwater harvesting, constructed wetland effluent, and composting toilet finish material.

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Superviseur du corps professoral :

Adrian Drozdowski

Étudiant :

Partenaire :

Plenty Canada

Discipline :

Engineering

Secteur :

Agriculture; Arts, entertainment and recreation; Education; Health and Related Sciences & Technology; Other services (except public administration); Professional, scientific and technical services

Université :

Mohawk College of Applied Arts and Technology

Programme :

Business Strategy Internship

Reflections on the rights of Canada’s Indigenous peoples: A quest for environmental justice

This study asserts that the Indian Act among others are the root causes for the persistent violation of indigenous peoples’ socio-cultural and environmental rights in Canada. They experience systemic marginalization including, environmental injustice, unsafe drinking water, inadequate housing, healthcare and basic services, land and natural resources and the freedom to practice their cultures. Their traditional practices and cultural heritage like the Indian festival and the powwow, the wearing of indigenous regalia, hunting of traditional foods, fishing and other cultural gatherings which allows them to retain their identity and traditional ways of life were outlawed. The study argues that although Canada is well known for its human rights diplomacy and globally recognized as the ‘banner holder’ of human rights however, adequately addressing the human rights of its indigenous people remains challenging especially regarding the right to a healthy environment that includes among others, the right to clean water and sanitation.

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Superviseur du corps professoral :

Semie Sama

Étudiant :

Partenaire :

University of Johannesburg

Discipline :

Sociology

Secteur :

Education

Université :

Lakehead University

Programme :

Globalink Research Award

Testing and Verification of Deep Neural Network

In AI safety, compliance ensures that a model adheres to operational specifications at runtime to avoid adverse events for the end user. This proposal looks at increasing the suite of compliance testing and verification tools available to ML practitioners by implementing two more tools, CGDTest and Goose. The overall goal is to develop both proposed tools to be flexible in real-world applications, and the tools can be evaluated by submitting to an annual competition for neural networks verification (VNN-COMP). VNNCOMP is a highly recognized competition often used as a benchmark for testing and verification algorithms in the community. Real-world applications for such tools include their usage in ML model validation pipelines to minimize operational and reputational risk when deploying ML models in production in large financial institutions.

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Superviseur du corps professoral :

Vijay Ganesh

Étudiant :

Partenaire :

Royal Bank of Canada (Borealis)

Discipline :

Computer science

Secteur :

Information and Communications Technology; Technology; Finance and Insurance

Université :

University of Waterloo

Programme :

Accelerate

Optimization of Long-Term Planning of Mining Operations

To determine the infrastructure and their equipment needs throughout the life of a mine, mining companies solves a long-term planning problem that aims at determining the mining sequences that will maximize the net present value of profits while taking into account operational constraints. These problems are very difficult to solve because of their huge size. Furthermore, various types of uncertainties (e.g., on prices, deadlines, activity durations) should be considered. In this project, the intern will develop various mathematical optimization models and methods to solve these problems that will allow to compute near-optimal mining sequences in reasonable computing times. The expected benefit for the partner organization will be an increase in operational productivity which will translate in a market share increase by offering better competitive sale prices to their customers.

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Superviseur du corps professoral :

Guy Desaulniers;Michel Gamache

Étudiant :

Partenaire :

Rio Tinto Alcan (Jonquière, QC)

Discipline :

Mathematics

Secteur :

Manufacturing; Mining; Professional, scientific and technical services

Université :

Polytechnique Montréal

Programme :

Accelerate

Joint burst image denoising and deblurring

Capturing high quality images is a major selling point of modern flagship smartphones. However, due to physical constraints on sensor size, capturing a good image with a mobile phone is challenging especially in low-light conditions. To obtain a bright image, one has to use a long exposure or digitally gain up a short exposure image. The former will result in blurry images due to handshake and scene motion, and the latter will yield noisy images. We will explore methods that combine complimentary information from both types of images captured from two separate cameras synchronously. This is particularly interesting for Samsung since modern smartphones already have multiple rear-facing cameras that can be used for this purpose. In this project, we will build on state-of-the-art deep learning models for denoising and deblurring, and explore how to fuse them to jointly process synchronized short and long exposure images.

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Superviseur du corps professoral :

Marcus Brubaker

Étudiant :

Partenaire :

Samsung Electronics Canada

Discipline :

Computer science

Secteur :

Technology; Information and Communications Technology; New and Digital Media

Université :

University of Toronto

Programme :

Accelerate

Source-level change data capture of persisted smart-contract state

Smart contracts are computer programs on the Ethereum network. For a variety of reasons, such as security concerns, we would like to be able to analyze these smart contracts. However, the source code is only available for a limited subset of these contracts. But, the result of the compilation of these contracts, the bytecode, is available for all smart contracts. The main goal of this work is the decoding of smart contracts’ bytecodes. The path towards this goal is automated decompilation of the bytecode. But, current decompilation tools are not compatible with the ethereum bytecode. So, we will first translate ethereum bytecode into a form amenable to known decompilation approaches. Then, we will transform it into a program maintaining its original semantics and data.

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Superviseur du corps professoral :

Chen Feng;Victoria Lemieux

Étudiant :

Partenaire :

Covalent

Discipline :

Computer science

Secteur :

Information and cultural industries

Université :

The University of British Columbia - Okanagan

Programme :

Accelerate

Design and Evaluation of Novel Histone Deacetylase 6 Inhibitors for Therapeutic Applications in Medulloblastoma and Glioblastoma

Brain cancers represent one of the most aggressive tumors that are especially challenging to treat through drugs, partially due to the inherent protection by the blood-brain barrier. Therefore, developing drugs that have specific chemical properties that allow them to cross the blood-brain-barrier, while simultaneously retaining their drug-like features is a heavily sought-after approach in treating brain cancers. One of the current approaches, is to target a protein called HDAC, a protein crucial in disease progression. Although there are 4 FDA-approved drugs that target HDAC6 on the market, they suffer challenges such as limited potency, selectivity, and brain penetration, resulting in limited therapeutic response while eliciting severe toxicities in patients. Herein, we aim to optimize our current molecules to enhance drug-like properties and evaluate their efficacy in relevant animal models to design better treatments

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Superviseur du corps professoral :

Patrick Gunning

Étudiant :

Partenaire :

HDAX Therapeutics

Discipline :

Life Sciences

Secteur :

Agriculture; Education; Professional, scientific and technical services

Université :

University of Toronto

Programme :

Accelerate

Analyzing User Reviews of Mobile Applicationsusing Natural Language Processing

The proposed project is to research and develop a user review analysis system for mobile games using machine learning and natural language processing techniques. Traditionally, user review analyses are done by humans, which is inefficient and relatively slow. The project will involve research in the specific areas of topic modeling, sentiment analysis and opinion spam detection. The result of the research will be developed into a deliverable solution. One use of the review analysis system is to retrieve valuable information for the game development team in order to improve the game. It can also be used as a competitive intelligence tool to identify strength and weaknesses of competing products. EA All Play, the partner organization, is expected to be able to extract information about a given mobile game in an efficient and timely way.

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Superviseur du corps professoral :

Graeme Hirst

Étudiant :

Partenaire :

Electronic Arts Canada (Kitchener, ON)

Discipline :

Computer science

Secteur :

New and Digital Media; Technology

Université :

University of Toronto

Programme :

Accelerate

Building a Digital Twin of the Pearson Airport

In the proposed project, the GTAA will work with GBC faculty, students and graduates with the knowledge of the latest BIM technology tools and processes to help with the implementation of the innovative technological solutions in the Architectural and Engineering Data department. The interns will help the GTAA to create 3-dimensional Building Information Models (BIM) of Terminal 1 and 3 interiors, including collection and input of asset data, as well as models of MEP services and civil services in various areas of the airport. This will ultimately support the creation and utilization of the Digital Twins of the airport facilities, which will be used to enhance communication and collaboration, maximize efficiency, and minimize cost of construction and operations on the airport and thus support GTAA’s extensive capital improvement plan to provide world-class airport passenger and partner experience and slowly recover from the pandemic.

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Superviseur du corps professoral :

Elmira Nezami Far

Étudiant :

Partenaire :

Greater Toronto Airports Authority

Discipline :

Engineering

Secteur :

Professional, scientific and technical services; Transportation and warehousing

Université :

George Brown College of Applied Arts and Technology

Programme :

Business Strategy Internship

Producing high-purity rare earth metals

In line with NeoCtech’s strategic goal to make a circular supply chain of permanent magnets in North America, a techno-economically and environmentally friendly metallization of rare earth elements is still a serious challenge. This project is about developing an efficient and sustainable process to convert rare earth metal oxides to highly pure rare earth metals via a clean and viable process. The output, high-purity rare earth metals, has a commercial potential for manufacturing electronic products and high-performance magnetic motors without a risk of supply shortage. The ¬findings of this research can signi¬ficantly impact future rare earth refi¬ning processes through applying the innovative proposed method.

Voir la description complète du projet
Superviseur du corps professoral :

Jamal Chaouki

Étudiant :

Partenaire :

neoCtech Corp.

Discipline :

Engineering

Secteur :

Administrative and support, waste management and remediation services

Université :

Polytechnique Montréal

Programme :

Accelerate

LCA methodology for assessing the impacts of microfibers on marine ecosystem quality and application in a case study of activewear

In the proposed project, the intern will do a thorough environmental assessment of different activewear textiles. The methodology used is called life cycle assessment, and allows quantifying various environmental impacts (e.g. climate change, water use, impacts of toxic chemicals) among the entire supply chain (resource extraction, textile and cloth production, transportation, retail, consumer use of activewear and disposal). To date, life cycle assessment does not include a methodology for assessing the potential impacts of microfibers released during textile use and washing. Therefore, the first step of the internship will be to develop a methodology for quantifying environmental impacts from microfibers. Once the novel methodology is integrated into life cycle assessment, the next step will be to perform a thorough environmental assessment of different activewear fabrics chosen by the company Moov Activewear. Finally, the environmental assessment will help Moov activewear to guide their fabric design in a way that environmental impacts are minimized.

Voir la description complète du projet
Superviseur du corps professoral :

Anne-Marie Boulay

Étudiant :

Partenaire :

Moov Activewear

Discipline :

Engineering

Secteur :

Manufacturing

Université :

Polytechnique Montréal

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.