Innovative Projects Realized

Explore thousands of successful projects resulting from collaboration between organizations and post-secondary talent.

29670 Completed Projects

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4990
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801
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663
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825
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8841
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9197
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95
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568
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1088
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Projects by Category

A Generative Artificial Intelligence Driven Decision Support System for Spatial Optimization of Terrestrial Nature-Based Solutions in Canada

The proposed research project aims to determine the optimal utilization of less productive agricultural land in Canada. The objective is to leverage the capabilities of generative artificial intelligence together with optimization techniques to decide where nature-based solutions, such as smart farming, tree planting, and natural area regeneration, should be implemented. Selecting the appropriate strategies for each location, not only contributes to climate change mitigation by absorbing greenhouse gases, but also promotes biodiversity and connects ecosystems. Canada’s goals of achieving a net-zero economy by 2050 will be furthered by the contributions of this research. Additionally, it will aid Canada in optimizing the utilization of its current land resources. This project also aligns closely with the Royal Bank of Canada’s focus on agriculture and land use in its climate strategy and is expected to create business value for them.

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Faculty Supervisor:

Juan Moreno-Cruz;Yuri Leonenko

Student:

Partner:

Royal Bank of Canada

Discipline:

Earth science

Sector:

Finance and Insurance; Management of companies and enterprises

University:

University of Waterloo

Program:

Accelerate

Planifier, bâtir et habiter les « nouvelles zones urbaines » de Hanoï :entre pratiques locales et vision métropolitaine

Cette recherche consiste en une étude comparée entre deux « nouvelles zones urbaines » (NZU) de la métropole d’Hanoï (Vietnam). Mis en oeuvre depuis la fin des années 1990, les NZU sont des projets urbains résidentiels et commerciaux qui, conçus, construits et implantés par des entreprises domestiques et étrangères ainsi que publiques et privées, visent à répondre à la forte demande de logement, s’adressant notamment à la « classe moyenne » émergente. Ce projet de recherche vise à explorer le rôle et l’impact des NZU sur le processus de métropolisation de Hanoï au travers de trois dimensions : les recompositions territoriales et foncières qu’elles suscitent ; les politiques de logement qu’elles supportent ; les modes de vie qu’elles produisent. Les résultats de cette recherche visent une meilleure compréhension des enjeux de la planification et implantation des « villes nouvelles » notamment afin d’éclairer la métropolisation en Asie du sud-est.

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Faculty Supervisor:

Danielle Labbé

Student:

Partner:

National University of Civil Engineering

Discipline:

Sociology

Sector:

Education

University:

Université de Montréal

Program:

Globalink Research Award

Kinetics of nickel metal extraction from mixed hydroxide precipitates (MHP) using high-pressure carbonylation

This project investigates the extraction of the critical minerals nickel and cobalt using vapour metallurgy (or Mond process) from a material called mixed hydroxide precipitate (MHP), a common feed material for the refining process produced from laterite nickel ore. MHP contains both nickel and cobalt in different ratios depending on the feed material source. The Mond process is an old but overlooked process, mainly due to the highly toxic nature of intermediate products called carbonyls. Yet, there are few examples of safe handling of such carbonyls at industrial scale, and in terms of environmental impact the Mond process lends itself to a dry, closed loop processing, free of acids and liquid effluents, with relatively low energy requirements. Vapour Metallurgy Innovation Inc., the industrial partner, will provide the researchers with different MHP samples to be tested at different temperatures and pressures.

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Faculty Supervisor:

Eric Croiset

Student:

Partner:

VMI

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Waterloo

Program:

Accelerate

Latent Representations of Loan Delinquencies from Neural Networks for Decisioning Customers and Assessing Phone Call Strategies

During the previous Mitacs PhD internship (IT11500), a long short-term memory encoder-decoder (LSTM-ED) neural network survival model was developed to predict time to debt repayment for ATB collections customers. This model is novel from both methodological and practical perspectives. The LSTM-ED simultaneously predicts the probability that debt will be repaid within the first 90 days of delinquency and when in the future debt will be repaid (given that repayment occurs within the first 90 days), which is not present in the academic literature. This internship will focus on novel applications of latent representations learned by the LSTM-ED.
In the first subproject, we will use the latent representations of delinquencies to develop thresholds for determining whether debt will be repaid within the first 90 days. Delinquency-specific thresholds will be generated by passing the latent representations as input to a feedforward neural network (FNN) and applied to the predicted probabilities ???? ??(???? = 90) output by the LSTM-ED. The extended version of the LSTM-ED will automatically decision collections customers into two classes (does not repay within 90 days and repays within 90 days). This will make it easier to deploy and integrate the model into ATB’s daily collections process. The second subproject

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Faculty Supervisor:

Bei Jiang

Student:

Partner:

ATB Financial

Discipline:

Mathematics

Sector:

Finance and Insurance

University:

University of Alberta

Program:

Accelerate

Analyse de données pour la performance énergétique et industrielle

Le secteur industriel est le plus grand consommateur d’énergie au Québec, représentant environ 40 % de la
consommation totale d’énergie. L’amélioration de la gestion de l’énergie dans ce secteur est un objectif essentiel,
tant pour le fournisseur d’énergie et les clients, compte tenu des coûts de l’énergie, des impacts environnementaux
et des ressources disponibles. En conséquence, ce projet vise à développer une application intégrée d’analyse
énergétique pour aider les clients industriels à mieux comprendre les tendances de leur consommation, leur
performance opérationnelle et leur intensité énergétique. Par conséquent, cet outil peut encourager et soutenir
les efforts des clients en matière d’efficacité énergétique. Ainsi, Hydro-Québec pourra optimiser l’exploitation du
réseau électrique et les clients pourront réduire leurs coûts énergétiques.

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Faculty Supervisor:

Sousso Kélouwani;Sousso Kelouwani;Kodjo Agbossou

Student:

Partner:

Hydro-Quebec

Discipline:

Engineering

Sector:

Construction and infrastructure; Professional, scientific and technical services; Utilities

University:

Université du Québec à Trois-Rivières

Program:

Accelerate

Software development, integration, and testing of a 5G-based healthcare solution

The current healthcare system is struggling with maintaining quality and managing costs. With more older people and more cases of chronic illnesses, these problems are likely to get worse. By using the fast 5G network set up by Rogers at the University of Waterloo, along with medical monitoring devices from Mespere LifeSciences and the Tang Lab, this research project plans to develop an integrated solution that allows for video, audio, and health data transmission over a 5G network, connecting patient, doctor, and test devices. An intern will create a cloud-based web application, conduct integration and testing of this next-generation end-to-end digital healthcare solution. The partner companies, Mespere and Rogers, will provide support to the technical development activities and explore opportunities in the healthcare sector.

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Faculty Supervisor:

Xiaowu (Shirley) Tang

Student:

Partner:

Rogers Communications Inc.;Mespere

Discipline:

Engineering

Sector:

Information and cultural industries

University:

University of Waterloo

Program:

Accelerate

Diet-ESP: Compressed Profile for IPv6/IPsec over the 5G Fronthaul

This research project aims to speed up 5G networks by making the way IPv6 and IPsec are used more efficient, especially over important critical interfaces in the Radio Access Networks (RAN). We plan to fully specify Diet-ESP, a simpler and lighter form of IPsec that takes up less space by using new compression methods. We will also make a streamlined IP profile that can compress parts of data more effectively. Through a theoretical model, we’ll examine how these changes affect network speed and power use. Then, by testing in a simulated 5G RAN environment, we will confirm if our approach actually reduces data load, speeds up connections, and saves energy.

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Faculty Supervisor:

Sandra Cespedes;Sandra Céspedes;John William (Bill) Atwood

Student:

Partner:

Ericsson Canada Inc (Quebec)

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Concordia University

Program:

Accelerate

The network of public spaces in Trung Hoa Nhan Chinh new urban development, Hanoi, analysis and intervention

The network of public spaces in Trung Hoa Nhan Chinh new urban development, Hanoi, analysis and intervention” research project aims to study one of the first new urban developments in Hanoi in terms of public recreational spaces. This project will identify the various types of public spaces that took form during the development of the area and ways in which they are appropriated by users. A map and photographic report will visually show the density and the typology of public spaces that exist in the area; an observation audit and a number of in-depth interviews will help understand the characteristics, usage and ownership of some significant public spaces. Understanding the network and characteristics of public spaces in THNC will support the formulation of a physical intervention

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Faculty Supervisor:

Danielle Labbé

Student:

Partner:

Vietnam Academy of Social Sciences

Discipline:

Sociology

Sector:

Education

University:

Université de Montréal

Program:

Globalink Research Award

Stabilizing VSV and AdV Vaccines

Vaccines are inherently unstable and are stored in the refrigerator or frozen. This project aims to design a vaccine technology, using a viral vector, that would be much more stable and able to be stored at room temperature. This advantage would reduce the cost of transport and storage, especially in the case of stockpiling for potential outbreaks. A more stable vaccine could also be used in a room temperature application, such as a vaccine patch or a dissolving strip for oral dosing.

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Faculty Supervisor:

Marc Aucoin

Student:

Partner:

Elarex Inc.

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

University of Waterloo

Program:

Accelerate

Comparing total tract lipid digestibility and fatty acid profiles of high-fat byproducts used in western Canadian beef finishing diets through a three-step in vitro method

Growing beef for consumption requires a high-energy diet. Fat is 2.25 times more energy dense than carbohydrates. To increase the energy in the diet, feedlot nutritionists will add high-fat ingredients to the diet. In western Canada, these sources were traditionally tallow, corn oil, or yellow grease, but byproducts from the ethanol and oilseed industries offer attractive, safe, and lower-cost alternatives to these traditional sources. The feeding value of these alternatives comes from not only high-fat content, but also how well the fat is digested. This project investigates fat digestibility of three byproducts commonly used in western Canadian beef diets (whole corn germ, cold-pressed canola cake, and whole-fat, off-grade crushed canola seed) and compares them to a traditional source, yellow grease. With this information, nutritionists can better understand the value of these high-fat byproducts when adding them to beef diets.

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Faculty Supervisor:

Greg Penner;Gabriel Ribeiro

Student:

Partner:

Cattle Health Management Ltd.

Discipline:

Life Sciences

Sector:

Agriculture

University:

University of Saskatchewan

Program:

Accelerate

Developing a high throughput in vitro method for testing pro-regenerative molecules

Multiple sclerosis is highly prevalent in Alberta and is characterized by loss of myelin (brain white matter) and myelin-producing cells, oligodendrocytes. This leads to neurodegeneration and symptoms like blurred vision, impaired cognition, loss of mobility and/or paralysis. Currently there are no treatments aimed to replace lost oligodendrocytes and myelin. This can be achieved by stimulating resident (existing) brain stem cells to regenerate oligodendrocytes, which could in turn replace lost myelin. The primary objective of this proposed project is to develop a robust high-throughput in vitro method for oligodendrocyte regeneration from brain stem cells. Such an approach is pre-requisite for efficient drug screening and subsequent commercialization of “hits” as novel pro-regenerative drugs. In turn, this will support the development of new and desperately needed remyelinating treatments for people with multiple sclerosis, yielding economic benefits and contributing to overall health outcomes.

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Faculty Supervisor:

Anastassia Voronova

Student:

Partner:

adMare BioInnovations

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

University of Alberta

Program:

Accelerate

Durability Analysis of Larger Photovoltaic Modules with Solar Tracker Systems towards Enhanced Share of Solar and Renewable Energy

Solar photovoltaics (PV) is currently the second-largest renewable energy after hydropower, producing 3.6% of the world’s electricity in 2016. To achieve caron neutrality, higher share of solar and renewable energy is required, and enhancement of durability of solar PV modules of larger size with tracker systems is the key. This research employs laboratory testing and numerical simulation to carry out durability analysis and the outcome will benefit Canada in facilitating carbon neutrality and renewable energies.

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Faculty Supervisor:

Shunde Yin

Student:

Partner:

Canadian Solar Inc.

Discipline:

Engineering

Sector:

Manufacturing

University:

University of Waterloo

Program:

Accelerate