Projets novateurs réalisés

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

30156 projets achevés

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Projets par catégorie

Possible Methods for Detection and Removal of Microplastics Contamination in Municipal Compost

Our proposed research aims to find ways to detect and remove harmful microplastics from municipal compost, an area that has not been widely studied. By identifying the types and concentrations of microplastics and testing effective removal techniques, this project will contribute to improved municipality composting processes and management.
Our partnership with the City of Kamloops will allow for the practical application of these findings, leading to the development of detection and removal best practices for compost management at the municipality level. The intended outcomes are hoped to enhance policies and regulations in compost management and quality, not only in Kamloops but for municipalities across Canada, promoting safer environmental and economic practices for a better and sustainable quality of life.
We believe that this work will support healthier communities and contribute to Canada’s leadership in sustainable waste management, providing both economic and societal advantages.

Voir la description complète du projet
Superviseur du corps professoral :

Naowarat Cheeptham;Kingsley Donkor;Anusha Venkataraman

Étudiant :

Partenaire :

City of Kamloops

Discipline :

Engineering

Secteur :

Public administration

Université :

Thompson Rivers University

Programme :

Accelerate

Influence des tests d’intrusion sur l’analyse de risque en technologie de l’information

La montée exponentielle des différentes technologies servant au traitement de l’information digitale a marqué les dix dernières années par des vagues d’événements de sécurité aussi importante les unes que les autres. Les systèmes appartenant aux entreprises, gouvernements, organisations sont exposés à de nombreuses menaces et les mesures misent en place ne sont souvent pas suffisantes pour réduire de manière considérable le risque d’attaque. Ces bris d’information conduisent la plupart du temps à de graves pertes monétaires pour les entreprises. Dans le but d’adresser ces problèmes et irritants, le développement d’une méthodologie proactive visant à baser des indicateurs de risques sur les résultats de tests d’intrusions va être mis en place. Elle permettra de structurer les tests effectués sur les actifs informationnels et fournira des recommandations sur les différents outils et supports permettant de combler les besoins techniques et managériaux. De ce fait, elle donne un avantage concurrentiel à l’entreprise partenaire grâce à un modèle de référence basé sur une organisation complète, structurée et mettant en avant une amélioration continu. Cela permet de garantir une meilleure qualité de service et favorise la relation de confiance avec le client, dans un cadre d’intelligence d’affaire.

Voir la description complète du projet
Superviseur du corps professoral :

José Fernandez

Étudiant :

Partenaire :

Okiok

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

École Polytechnique de Montréal

Programme :

Accelerate

Development of new approach methods (NAMs) for pesticide risk assessment

Pesticides are widely used in agriculture to protect crops and increase yields. However, their overuse can lead to environmental pollution and health risks. Understanding how pesticides break down in the environment and within organisms is crucial for assessing their potential harm. To develop new computer modeling techniques to predict how pesticides degrade in the environment and within organisms. This will help us better understand the risks associated with pesticide use and develop strategies to minimize them. In this project, we will focus on two key degradation processes by: (1) studying how pesticides break down in the air and water, particularly at the interface between the two. (2) investigating how CYP enzymes in organisms, break down pesticides, especially those containing specific chemical groups. By using advanced computer simulations, we aim to predict how different pesticides will degrade in the environment and how environmental factors and chemical structural features will influence the transformation and kinetics of product formation. This research will contribute to a safer and more sustainable agricultural future by addressing the diverse transformation products from the active ingredients in pesticides products.

Voir la description complète du projet
Superviseur du corps professoral :

Xianming Zhang

Étudiant :

Partenaire :

Duy Tan University

Discipline :

Physics

Secteur :

Environmental Science and Technology

Université :

Concordia University

Programme :

Globalink Research Award

Research on the interactions between the electrical grid and the participation of ZEBs, renewable energy and electric vehicles

The proposed research project focuses on evaluating the interactions between the electrical grid and buildings, particularly in the context of electrification and decarbonization. The primary objective is to develop a simulation model to examine the operation and interactions between buildings with varying energy efficiency levels (including standard buildings, green buildings, and Zero Energy Buildings – ZEBs) and the electrical grid, considering the integration of renewable energy sources, electric vehicles (EVs), and load management strategies. The study will assess the impact of ZEBs, solar PV systems, and EVs on the grid, including grid stability, supply-demand balance, and power quality. The benefits for participating organizations include expertise in energy management and smart grid technologies, unique datasets and assessment tools for policymakers, and tailored solutions for Canada’s specific context to optimize energy use at both urban and national levels. The project aims to address Canada’s challenges in integrating renewable energy and EVs into the existing grid while ensuring sustainability and energy efficiency.

Voir la description complète du projet
Superviseur du corps professoral :

Liangzhu Wang

Étudiant :

Partenaire :

Hanoi University of Science and Technology

Discipline :

Engineering

Secteur :

Education

Université :

Concordia University

Programme :

Globalink Research Award

Development of Sustainable Solar-Powered HVAC Systems

This project focuses on designing and developing solar-powered HVAC systems optimized for tropical climates. The objective is to integrate renewable energy into building energy systems, improving energy efficiency and reducing carbon emissions. By leveraging advanced modeling tools and real-world data from Vietnam, the research aims to create scalable solutions that support sustainable urban development.

Voir la description complète du projet
Superviseur du corps professoral :

Hua Ge

Étudiant :

Partenaire :

Ho Chi Minh City University of Technology

Discipline :

Engineering

Secteur :

Clean Technology; Energy and Utilities; Technology

Université :

Concordia University

Programme :

Globalink Research Award

Behavioral Dysfunctions After Preterm Birth: The Role of Vasopressin

This project aims to explore the role of arginine vasopressin (AVP) in cognitive and anxiety-like behavior dysfunctions observed in preterm birth models. Using a neonatal hyperoxia rat model, which mimics bronchopulmonary dysplasia (BPD) and associated complications of preterm birth, the study will assess behavioral outcomes and AVP levels in different experimental conditions. The findings are expected to clarify the mechanisms linking elevated AVP to behavior dysfunctions, paving the way for targeted therapies to improve long-term neurological and emotional outcomes in preterm individuals. Participating institutions will benefit from advancing knowledge in neonatal care, fostering collaborative research, and contributing to innovative solutions for preterm health challenges.

Voir la description complète du projet
Superviseur du corps professoral :

Anne Monique Nuyt

Étudiant :

Partenaire :

Universidade Federal de Minas Gerais

Discipline :

Life Sciences

Secteur :

Education

Université :

Université de Montréal

Programme :

Globalink Research Award

Charge-switchable ion exchange resins for PFAS removal in water

The research project focuses on developing a new type of filter material, called charge-switchable ion exchange resin, that can effectively remove harmful chemicals known as PFAS from water. Unlike traditional filters that require harsh chemicals to clean and regenerate, this new material can be easily regenerated for reuse by simply adjusting the water’s pH, making it a more eco-friendly solution. For the partner organization, this project offers an innovative solution that not only meets increasing environmental standards but also reduces chemical waste and operational costs, aligning with sustainable practices and potentially giving the company a competitive advantage in the water treatment industry.

Voir la description complète du projet
Superviseur du corps professoral :

Yue Zhao

Étudiant :

Partenaire :

Ecofilter Tek Inc.

Discipline :

Engineering

Secteur :

Manufacturing

Université :

Université de Sherbrooke

Programme :

Accelerate

Nematic Ferroelectric Liquid Crystal Elastomers

The goal of this project is to develop a class of smart materials known as “Electroactive Liquid Crystal Elastomers” which undergo shape change and exhibit locomotion by an applied electric field. Ferroelectric molecules will be specifically used in the design and synthesis of these materials which are expected to increase the dielectric constant of the elastomer and result in spontaneous polarization and shape change under the applied electric field. This goal is achieved by two methods: (1) Addition of ferroelectric liquid crystal molecules to the previously developed liquid crystal elastomers, and (2) Synthesizing a new class of liquid crystal elastomers that all its molecular components are composed of ferroelectric molecules. Moreover, the developed material will be studied in terms of mechanical, electrical, and optical properties.

Voir la description complète du projet
Superviseur du corps professoral :

Hamed Shahsavan

Étudiant :

Partenaire :

HUN-REN Wigner Research Centre for Physics

Discipline :

Engineering

Secteur :

Technology; Other

Université :

University of Waterloo

Programme :

Globalink Research Award

Comprendre les accidents de la route : une modélisation micro

Ce projet de recherche, dirigé par une chercheuse en sciences économiques dans le cadre du programme Mitacs Globalink, vise à analyser les accidents de la route en Tunisie en utilisant des méthodes avancées d’analyse spatiale pour identifier les zones à haut risque, ou “zones noires”. Avec une base de données de 30 000 accidents couvrant la période de 2008 à 2023, l’étude appliquera des techniques telles que la fonction K de Ripley et l’analyse de densité spatiale pour comprendre la distribution des accidents et les facteurs contributifs, comme l’infrastructure routière et le comportement des conducteurs. Ce travail a pour objectif de produire un article scientifique significatif, contribuant à une meilleure compréhension des dynamiques des accidents routiers et à l’élaboration de politiques de prévention efficaces, tout en visant à réduire le nombre d’accidents et à améliorer la sécurité routière en Tunisie.

Voir la description complète du projet
Superviseur du corps professoral :

Jean Dubé

Étudiant :

Partenaire :

Institut supérieur de transport et de la logistique de Sousse

Discipline :

Engineering

Secteur :

Automotive; Public Service, Policy, and Governance; Transportation (excluding aerospace)

Université :

Université Laval

Programme :

Globalink Research Award

Mechanisms and Algorithms for Optimal Use of Inter-Clouds

Cloud computing is one of the pillars of the modern computing infrastructure mainly because it allows the procurement of computing services on a pay-as-you-go basis. However, despite the many benefits offered by cloud computing, it has several significant drawbacks such as data lock-in, lack of universal geographic proximity, risk of service outages, and variable cost structures. To address these problems, researchers from the academia and industry have proposed an interconnection of many independently managed cloud-computing systems such that workloads can be seamlessly migrated among them to suite the customer requirements. Many research problems are yet to be solved to realize the vision of interconnecting cloud-computing systems. The goal of this project is to develop new lightweight architectures for interconnecting cloud-computing systems. In particular, we will focus on the development of a Linux container-based workload-mapping framework that will benchmark the different clouds, select the appropriate clouds, and migrate workloads to maximize client benefits. We want to realize the inter-cloud architecture without requiring the clouds to agree on standardized cloud management protocols.

Voir la description complète du projet
Superviseur du corps professoral :

Muthucumaru Maheswaran

Étudiant :

Partenaire :

CloudOps

Discipline :

Computer science

Secteur :

Information and cultural industries

Université :

McGill University

Programme :

Accelerate

Correlation between trophoblast cell-surface antigen-2 (TROP-2) expression measured using conjugated Gold nanoparticles and ADC response in breast cancer cells.

According to a WHO report in 2022, one in five people are at risk of developing cancer, but only 39% of countries provide comprehensive health coverage. The most common cancers are lung, breast, and colorectal. Chemotherapy and radiotherapy, while common, present challenges due to their side effects and low specificity. New targeted therapies, such as immunotherapy with monoclonal antibodies, offer promising options. For example, trastuzumab helps the immune system target tumors, while antibody-drug conjugates (ADCs), such as trastuzumab-deruxtecan, direct drugs directly to cancer cells. These treatments require precise identification of tumor proteins, usually by immunohistochemistry (IHC) after biopsy, but this method can reach an error rate of 30%, particularly for the low expression of the Her2 protein in breast cancer. In response to these challenges, researchers at Polytechnique Montréal, under the direction of Professor Meunier, have developed a plasmonic nanoparticle technology. This technology improves the accuracy of protein detection and quantification and enables multiplexing, thus offering a potentially more reliable solution for the diagnosis and treatment of cancers.

Voir la description complète du projet
Superviseur du corps professoral :

Michel Meunier

Étudiant :

Partenaire :

Véga BioImaging

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

Polytechnique Montréal

Programme :

Elevate

Anomaly Detection with Noisy Labels in Graphs

This research project focuses on improving how we detect fraudulent activities, such as suspicious transactions, in large financial transaction networks like Mastercard’s. Fraudulent transactions are rare and difficult to catch because they often look similar to regular transactions, and there are limited accurate data to rely on. To tackle this, we are using Graph Neural Networks (GNNs), which can analyze transaction networks in ways that traditional methods cannot by incorporating the graph structure in the model. This network view helps GNNs detect patterns of fraud that might otherwise go unnoticed. However, a big challenge is that some of the data we use to train these models is noisy, meaning it contains mistakes or inaccurate labels. These noisy labels can affect the model negatively, causing
it to learn incorrect patterns and reducing its ability to find real fraud.

Voir la description complète du projet
Superviseur du corps professoral :

Pawel Pralat

Étudiant :

Partenaire :

Mastercard

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

Toronto Metropolitan University

Programme :

Elevate

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