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

Time-Series Based Machine Learning

The proposed project aims to enhance the interpretability of machine learning models, particularly in the context of time series data analysis. By extending the capabilities of the tsfresh library, a widely used tool for time series feature extraction, the project seeks to make complex models more transparent and understandable. This effort will improve confidence in the predictions and decisions made by these models, benefiting both research institutions (University of Toronto and University of Auckland) and industry partners. Additionally, the project addresses specific challenges in benchmark datasets like the UCR Time Series Classification Archive, aiming to enhance model robustness and reliability in real-world applications. Ultimately, the project aims to foster trust and usability in various domains by providing clearer insights into the workings of machine learning models.

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Superviseur du corps professoral :

Arthur Chan

Étudiant :

Partenaire :

University of Auckland

Discipline :

Engineering

Secteur :

Artificial Intelligence; Technology; Other

Université :

University of Toronto

Programme :

Globalink Research Award

Electrospun composite solid-state electrolyte membranes based on lithium conductive metal-organic framework for high-energy-density lithium metal battery

As Canada advances to a sustainable and prosperous net-zero future by 2050, investment and research into the battery industry can help accelerate progress towards net-zero emissions targets and are a vital resource to support Canadian industry and workers in seizing economic opportunities for next-generation Li-ion batteries. Li metal batteries, as one of the most promising next-generation high-energy-density storage devices, can meet the rigid demands of new industries. However, the direct utilization of metallic Li as anode can induce harsh safety issues caused by the dendrite formation and electrolyte decomposition. Replacing organic liquid electrolytes with solid-state electrolytes is considered to be the most promising method to solve the safety problem of Li metal batteries. Herein, we propose a series of novel metal-organic framework-based composite solid-state electrolytes based on electrospinning engineering as an alternative route to conventional electrolyte manufacturing, which can enhance the interfacial contact and increase the electrochemical stability.

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Superviseur du corps professoral :

Michael Fowler

Étudiant :

Partenaire :

Solid UltraBattery Inc.

Discipline :

Engineering

Secteur :

Mining

Université :

University of Waterloo

Programme :

Accelerate

Le transport informel comme composante de l’intermodalité, le cas de Hanoi

Hanoi, la capitale vietnamienne, connaît une forte croissance démographique. Les déplacements, autrefois effectués à bicyclette, sont désormais réalisés principalement à moto et, de plus en plus, en voiture, générant des problèmes de congestions routières et de pollution. Le réseau de transport collectif, en forte expansion, peut difficilement rivaliser avec le transport individuel, compte tenu de la complexification des déplacements et de la morphologie particulière de la ville (rues étroites dans lesquels les autobus ne peuvent circuler, plusieurs pôles de développement, etc.). Le transport informel, très présent à Hanoi sous la forme de motos-taxis (xe ôm en vietnamien) peut jouer un rôle de premier plan dans la mobilité de la population, en complémentarité avec le réseau de transport collectif. Cette étude vise donc à identifier les conditions nécessaires pour que le xe ôm contribue à l’intermodalité et, conséquemment, au développement d’une mobilité plus durable dans la région de Hanoi

Voir la description complète du projet
Superviseur du corps professoral :

Danielle Labbé

Étudiant :

Partenaire :

National University of Civil Engineering

Discipline :

Sociology

Secteur :

Education

Université :

Université de Montréal

Programme :

Globalink Research Award

Relativistic localisation of Unruh-DeWitt detectors

In this project, we study the Unruh-DeWitt (UDW) model, which features a two-level system (an “atom”) coupled to a quantum field. In a previous publication, the UDW model was extended to include a relativistic centre of mass, which was introduced via a first- and second-quantised treatment of the atom’s dynamics. However, an issue with this model is that the wave function describing the atom spreads out over time. In the UDW model, one conventionally requires the atom to remain bound within a finite region of spacetime. In previous works, Tales Rick Perche—a student of Prof. Eduardo Martin-Martinez—has investigated a separate UDW model, where the atom remains localised to finite regions of spacetime. In joint discussion, Tales has proposed a means by which these two models can be combined. For this project, we will synthesise the two models and investigate this extended UDW model in the context of relativistic quantum information. This collaboration will be beneficial to both the University of Waterloo and the University of Queensland, as it will further the study of the atom-light interaction in relativistic quantum mechanics and its applications to relativistic quantum information.

Voir la description complète du projet
Superviseur du corps professoral :

Eduardo Martin-Martinez

Étudiant :

Partenaire :

The University of Queensland (Australia)

Discipline :

Physics

Secteur :

Education

Université :

University of Waterloo

Programme :

Globalink Research Award

Street Crossing Decision Making in Older Adults Using fNIRS

The proposed project delves into understanding the role of the decision making areas of the brain in street crossing decisions, specifically examining changes that occur in older adults (OA). Age-related changes may impede timely visuomotor integration in OA, potentially increasing the risk of traffic collisions. Utilizing functional near-infrared spectroscopy (fNIRS), a non-invasive neuroimaging technique, the study aims to identify underlying cortical mechanisms driving risky street crossing behaviours in OA. By recruiting 30 participants, including 15 younger and 15 older adults, the in-lab session involves a modified street crossing paradigm on a treadmill. Virtual pedestrians cross at varying speeds, creating decision-making scenarios, while fNIRS measures prefrontal cortex (PFC) activity. Anticipated outcomes include slower decision making response time, decreased accuracy, and altered PFC activation in older adults. The project’s innovation lies in using fNIRS to explore neural correlates, contributing to insights on age-related visuomotor integration changes and informing interventions for improved pedestrian safety in older populations.

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Superviseur du corps professoral :

Michael Cinelli

Étudiant :

Partenaire :

University of Massachusetts Amherst

Discipline :

Life Sciences

Secteur :

Health and Related Sciences & Technology

Université :

Wilfrid Laurier University

Programme :

Globalink Research Award

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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Superviseur du corps professoral :

Juan Moreno-Cruz;Yuri Leonenko

Étudiant :

Partenaire :

Royal Bank of Canada

Discipline :

Earth science

Secteur :

Finance and Insurance; Management of companies and enterprises

Université :

University of Waterloo

Programme :

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.

Voir la description complète du projet
Superviseur du corps professoral :

Danielle Labbé

Étudiant :

Partenaire :

National University of Civil Engineering

Discipline :

Sociology

Secteur :

Education

Université :

Université de Montréal

Programme :

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.

Voir la description complète du projet
Superviseur du corps professoral :

Eric Croiset

Étudiant :

Partenaire :

VMI

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

University of Waterloo

Programme :

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

Voir la description complète du projet
Superviseur du corps professoral :

Bei Jiang

Étudiant :

Partenaire :

ATB Financial

Discipline :

Mathematics

Secteur :

Finance and Insurance

Université :

University of Alberta

Programme :

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.

Voir la description complète du projet
Superviseur du corps professoral :

Xiaowu (Shirley) Tang

Étudiant :

Partenaire :

Rogers Communications Inc.;Mespere

Discipline :

Engineering

Secteur :

Information and cultural industries

Université :

University of Waterloo

Programme :

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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Superviseur du corps professoral :

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

Étudiant :

Partenaire :

Ericsson Canada Inc (Quebec)

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

Concordia University

Programme :

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

Voir la description complète du projet
Superviseur du corps professoral :

Danielle Labbé

Étudiant :

Partenaire :

Vietnam Academy of Social Sciences

Discipline :

Sociology

Secteur :

Education

Université :

Université de Montréal

Programme :

Globalink Research Award

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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.