Projets novateurs réalisés

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

29 670 projets achevés

2811
AB
4990
C.-B.
801
MB
663
NL
825
SK
8841
ON
9197
QC
95
PE
568
NB
1088
NS

Projets par catégorie

Développement de biocapteurs électrochimiques, enzymatiques à base de nanotubes de carbone et/ou d’oxyde de graphène pour la détection de l’histamine et de la diamine oxidase dans des liquides biologiques

Ce projet sera focalisé sur le développement d’un système très sensible, rentable et multiplexe en combinant différents domaines: nanofabrication, biomatériaux et nanomatériaux. Le prototype aura un rôle interdisciplinaire dans la surveillance des maladies allergiques au besoin. Il va générer également des innovations dans les
dispositifs miniaturisés et les diagnostics qui sécuriseront la commercialisation et ajouteront des services de grande valeur dans l’industrie de la santé au Canada. Le but du projet proposé est de répondre à tous ces besoins en développant des outils de diagnostic rapide sensibles avec un dispositif efficace et qui donne des résultats de tests rapides aux patients à tous les stades de l’allergie, ne nécessitant pas de préparation complexe d’échantillons et peu coûteux.

Voir la description complète du projet
Superviseur du corps professoral :

Ricardo Izquierdo;Mohamed Siaj

Étudiant :

Partenaire :

Groupe E.N. Biomédical

Discipline :

Life Sciences

Secteur :

Health and Related Sciences & Technology

Université :

École de technologie supérieure

Programme :

Accelerate

Enhancement of metal refining by electrochemical application

High purity structural metal such as steel requires a cleaning process during its production. Conventional cleaning process called refining using molten oxide has been arrived at its limit. Development of a breakthrough technology is required. Beyond utilization of conventional materials engineering, application of electrochemical refining is attempted in this project. The applicant has already carried out a number of experimental works in home university showing possibility of the enhanced refining by the application of electricity. During this visiting research program, it is intended to elucidate its mechanism by exploring electrical conductivity of molten oxide, which has been investigated by the host university. It is expected that a new breakthrough methodology will be developed coupling both high temperature experimental approach with theoretical analysis for the electrochemical refining process.

Voir la description complète du projet
Superviseur du corps professoral :

Patrice Chartrand

Étudiant :

Partenaire :

Pohang University of Science and Technology

Discipline :

Engineering

Secteur :

Clean Technology; Green/Alternative Energy; Advanced Manufacturing

Université :

Polytechnique Montréal

Programme :

Globalink Research Award

Integrating ethno-cultural equity, diversity, and inclusion in culture planning

The research question at the centre of this project is, “how can culture planning integrate equity, diversity, and inclusion (EDI)?”. The project will focus on ethno-cultural dimensions of EDI in culture planning. The project aims to explore how different ethno-cultural communities are engaged in the culture planning process and how culture planning outcomes impact these communities. The main objective of this research project is to gather insight and provide recommendations to improve the planning profession’s ability to integrate EDI into culture planning and its outcomes. This project benefits the partner organization, PROCESS, by providing funded opportunity to research the culture planning and urban planning landscape in Canada and integrate research findings and learning into their work and networks.

Voir la description complète du projet
Superviseur du corps professoral :

Pamela Robinson

Étudiant :

Partenaire :

PROCESS;Ontario Professional Planners Institute

Discipline :

Sociology

Secteur :

Professional, scientific and technical services

Université :

Toronto Metropolitan University

Programme :

Accelerate

Social demographic data collection and use in Ontario’s CHCs in the context of virtual delivery of social programs

Ontario’s 73 Community Health Centres provide both health and social care services to at risk populations. During the pandemic, Community Health Centres have had to switch much of their care from in-person to virtual services. This has had some positive effects (for example, by reducing rates of missed appointments) and some negative (many clients do not have access to devices or stable internet). Yet, it is impossible to judge how different population groups have been affected by this change without the right data such as age, sex, education, ethnicity, income, etc. Much of this social demographic data is not collected regularly across Ontario’s CHC. This internship project will help us understand why social demographic data is not collected and who can help ensure it is collected in the future. The project will help the partner, the Community Health Centre’s membership organization, by developing tools and key performance indicators to support better data collection and use.

Voir la description complète du projet
Superviseur du corps professoral :

Agnes Grudniewicz

Étudiant :

Partenaire :

Alliance for Healthier Communities

Discipline :

Business

Secteur :

Health and Related Sciences & Technology

Université :

University of Ottawa

Programme :

Accelerate

Development of quantum dot fluorescent probes/contrast agents

Iron-based nanoparticles can not only be used in sensitizers or absorbers but also retain excellent electrical conductivity, optical, electrical, and magnetic properties. So far, very few synthetic methods are known to implement stable Iron-based nanomaterials. We propose to develop novel synthesis routes to produce QDs. In addition, we plan to develop surface modification processes to improve the performance of QDs, and to precisely analyze the effects of surface modification on structural and chemical properties according to the surface/interface/depth by various spectroscopic methods. The development of new biocompatible probes, including in-vivo imaging using MRI, provides a breakthrough technology that enables the early diagnosis of many intractable diseases. The biotoxicity and stability of nanomaterials are important for use in biotechnology and medicine. We also propose to develop low-cost synthetic methods, solve toxicity using Fe-based quantum dot synthesis.

Voir la description complète du projet
Superviseur du corps professoral :

Seshasai Srinivasan;Amin Rajabzadeh

Étudiant :

Partenaire :

Chungnam National University

Discipline :

Physics

Secteur :

Nanotechnology; Quantum Science; Health and Related Sciences & Technology

Université :

McMaster University

Programme :

Globalink Research Award

Thermal Management for High-power-density Airborne Satellite Communications (SATCOM) Terminals

As a full-service, data-driven solutions provider for aviation, SKYTRAC Systems is developing new 2-MCU satellite communications (SATCOM) terminal, SDL-350, which will be capable of achieving globally available broadband transfer rates of 352 kbps both to and from the aircraft. One critical challenge facing the R&D engineers of SDL-350 is the thermal management, because the power dissipation level of SDL-350 is beyond what is achievable for the convectional thermal designs of avionics. Dr. Li will partner with SKYTRAC to develop an effective thermal design which will enable all components in SDL-350 to operate within their qualified temperature limits.

Voir la description complète du projet
Superviseur du corps professoral :

Sunny Ri Li

Étudiant :

Partenaire :

SKYTRAC

Discipline :

Engineering

Secteur :

Information and cultural industries

Université :

The University of British Columbia - Okanagan

Programme :

Accelerate

Multi-Domain Recommendation for Restaurants Using GNN Models

The student will develop a recommendation system for restaurants, proposing food selections to customers. This system will be based on GNN models to predict a customer’s need based on both user and order data. The data include previous purchases, data of dishes and similarity of users collected from online food orders. In the first phase the model will be trained on a specific domain (pizza, sushi, etc.) with good and sufficient data. Then the student will apply recent deep learning innovations to cross-domain restaurants with limited data. Through better recommendations for users, the system is expected to increase the value of orders and revenues of restaurant.

Voir la description complète du projet
Superviseur du corps professoral :

Ioannis Mitliagkas

Étudiant :

Partenaire :

UEAT Technologies Inc

Discipline :

Computer science

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

Université de Montréal

Programme :

Accelerate

Weather and Climate Information for Snow Recreation

Individuals and organizations use weather information to help inform day-to-day decisions. This project focuses on the use of weather information by winter recreationists in the Province of Ontario. Based on survey data, the project will identify the main sources of weather forecast information, the importance placed on this information, and the influence of specific aspects of such information in decision making. Analysis of climate weather-station data will also be completed to understand the influence of micro-climatic factors on observed weather at one Ontario ski resort. Both the Ontario Snow Resort Association and the Ontario Federation of Snowmobile Clubs serve their members by being a provider of key information for strategic and operational planning. The proposed research will address some of the knowledge gaps related to weather information utilization by winter recreationists, including skiers, snowboarders and snowmobilers

Voir la description complète du projet
Superviseur du corps professoral :

Jean Andrey

Étudiant :

Partenaire :

Ontario Snow Resorts Association;Ontario Federation of Snowmobile clubs

Discipline :

Earth science

Secteur :

Accommodation and food services; Arts, entertainment and recreation

Université :

University of Waterloo

Programme :

Accelerate

2021 Massawippi Watershed Hydrologic Flux Report of Water and Soil Quality Components

This project aims to study and assess nutrient conditions in Lake Massawippi and its surroundings. Previous studies suggest that fertilizer contaminants from various agricultural plots flow to nearby waters, especially the adjacent Tomifobia river. Our team will assess soil, and water components for net transfer of nutrient and other particle contamination. These measurements will be assessed with statistics to determine the source(s) of these flow conditions. This corresponding report will assess the following hypotheses: (1) that nutrient flows from the southeast are connected to Lake Massawippi within and underneath the Tomifobia river, and (2) that cattle farming and general agricultural fertilizers, not residential waste, nor recreational fertilizer applications, are the main sources of these nutrient and particle flows into the lake. Understanding these sources is necessary to maintain ideal water quality conditions in the lake and nearby residential communities.

Voir la description complète du projet
Superviseur du corps professoral :

Jan Franklin Adamowski

Étudiant :

Partenaire :

Blue Massawippi

Discipline :

Earth science

Secteur :

Other services (except public administration)

Université :

McGill University

Programme :

Accelerate

Identifying forests with old growth potential in the Credit River Watershed

Old growth forests provide important ecological services including carbon storage and habitats for a diverse array of species, yet they are often rare across the landscape. These forests are often challenging to identify due to the lack of concrete definitions of what constitutes old growth, as well as the lack of understanding of the typical features of old growth forests. This work aims to identify sites with old growth potential by using field and remote sensing methods to evaluate common old growth characteristics, while also developing a suite of indicator values to assist in the future identification of potential old growth sites. This project will help the partner organization address an objective of their recently developed Sustainable Forest Management Plan, contributing to the overall health and resilience of forests in the Credit River Watershed.

Voir la description complète du projet
Superviseur du corps professoral :

Jay Malcolm

Étudiant :

Partenaire :

Credit Valley Conservation Authority

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services; Public administration

Université :

University of Toronto

Programme :

Accelerate

Automated AI-Based Phishing Solution

Phishing emails are a common form of a cyber attack. Attackers use leading content to fraud victims, such as fake banking information, forged Google Alert messages, and so on. Phishing attacks have been around for years, causing countless serious consequences, such as financial losses and confidential documents leaks. As of now, there is still no admitted effective way to detect phishing emails. This project will aim at phishing emails and provide solutions to automatic detection and identification by artificial intelligence. We will also collect data from the phishing content and analyze cyber threat intelligence from various open-source information sharing platforms.

Voir la description complète du projet
Superviseur du corps professoral :

Xiaodong Lin

Étudiant :

Partenaire :

KPMG LLP (Toronto, ON)

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

University of Guelph

Programme :

Accelerate

Cyber Threat Intelligence Integration with MISP Threat Sharing

In the recent technological age, new threats and attacks emerge nearly every day. It might be against everyone on the internet or targeted towards specific organizations and individuals. Attackers have begun to use highly sophisticated techniques and technologies to attain their objectives. It’s a high time, the defenders scale up to defending their infrastructure against every type of intruder. This project emphasizes on building one of the core dependencies of a security infrastructure, the Malware Information Sharing Platform, to detect and thwart these attacks. A machine learning based approach is executed for correlating the threat data to identify the threat types, vulnerabilities and gain an understanding of threats that could target the organization. This platform will be of immense benefit to the partner organization, Bruce Power, to protect its software infrastructure and employee, customers’ data from exfiltration.

Voir la description complète du projet
Superviseur du corps professoral :

Ali Dehghantanha

Étudiant :

Partenaire :

Bruce Power

Discipline :

Computer science

Secteur :

Utilities

Université :

University of Guelph

Programme :

Accelerate

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