Innovative Projects Realized

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

30508 Completed Projects

2882
AB
5105
BC
825
MB
681
NL
860
SK
9051
ON
9491
QC
97
PE
586
NB
1141
NS

Projects by Category

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.

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Faculty Supervisor:

Pamela Robinson

Student:

Partner:

PROCESS;Ontario Professional Planners Institute

Discipline:

Sociology

Sector:

Professional, scientific and technical services

University:

Toronto Metropolitan University

Program:

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.

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Faculty Supervisor:

Agnes Grudniewicz

Student:

Partner:

Alliance for Healthier Communities

Discipline:

Business

Sector:

Health and Related Sciences & Technology

University:

University of Ottawa

Program:

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.

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Faculty Supervisor:

Seshasai Srinivasan;Amin Rajabzadeh

Student:

Partner:

Chungnam National University

Discipline:

Physics

Sector:

Nanotechnology; Quantum Science; Health and Related Sciences & Technology

University:

McMaster University

Program:

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.

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Faculty Supervisor:

Sunny Ri Li

Student:

Partner:

SKYTRAC

Discipline:

Engineering

Sector:

Information and cultural industries

University:

The University of British Columbia - Okanagan

Program:

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.

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Faculty Supervisor:

Ioannis Mitliagkas

Student:

Partner:

UEAT Technologies Inc

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

Université de Montréal

Program:

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

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Faculty Supervisor:

Jean Andrey

Student:

Partner:

Ontario Snow Resorts Association;Ontario Federation of Snowmobile clubs

Discipline:

Earth science

Sector:

Accommodation and food services; Arts, entertainment and recreation

University:

University of Waterloo

Program:

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.

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Faculty Supervisor:

Jan Franklin Adamowski

Student:

Partner:

Blue Massawippi

Discipline:

Earth science

Sector:

Other services (except public administration)

University:

McGill University

Program:

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.

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Faculty Supervisor:

Jay Malcolm

Student:

Partner:

Credit Valley Conservation Authority

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services; Public administration

University:

University of Toronto

Program:

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.

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Faculty Supervisor:

Xiaodong Lin

Student:

Partner:

KPMG LLP (Toronto, ON)

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Guelph

Program:

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.

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Faculty Supervisor:

Ali Dehghantanha

Student:

Partner:

Bruce Power

Discipline:

Computer science

Sector:

Utilities

University:

University of Guelph

Program:

Accelerate

Anomalous DNS Query Detection Using Machine Learning Approaches

For organizations that use the Internet, their employees will visit thousands of websites every day. However, there is a chance that the destination website is not safe to visit. Such websites may be fraudulent, phishing, or even data-stealing related. On the other hand, determining if the target website link is suspicious or not could help to prevent potential harm. Using a filtered list is the most straightforward way. The problem is, as the database for malicious websites is growing, hackers’ minds are also developing, which requiring a more profound way to deal with such a problem. This project aims to find any anomalous website visit attempt by using machine learning algorithms to solve the problem. As eSentire is a cybersecurity company dedicated to bringing solutions to companies who are having cybersecurity concerns, this project will serve as a reference for eSentire to solve related problems with more options.

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Faculty Supervisor:

Hassan Khan

Student:

Partner:

eSentire

Discipline:

Computer science

Sector:

Information and Communications Technology; Artificial Intelligence; Technology

University:

University of Guelph

Program:

Accelerate

Land-use change analysis for the Annapolis Valley Sand Barrens, a globally rare ecosystem at risk

This project will support the development and implementation of a collaborative conservation strategy for the Annapolis Valley Sand Barrens, a globally rare and endangered ecosystem found in Nova Scotia. It has been estimated that only 3% of the Annapolis Valley Sand Barrens remains today, lost primarily due to competing land-uses such as urban development, agriculture and quarrying. More specifically, the project will help to identify and prioritize areas for various land protection and stewardship activities, quantify the extent of impacts from various competing land-uses, and to evaluate baseline conditions for long-term effectiveness monitoring indicators. This work will contribute to provincial and federal biodiversity conservation commitments made through the Accord for the Protection of Species at Risk and re-affirmed through the Pan-Canadian Approach to the Transformation of Species at Risk Conservation in Canada.

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Faculty Supervisor:

David Colville;Ian Spooner

Student:

Partner:

Clean Annapolis River Project

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

Acadia University; Nova Scotia Community College

Program:

Accelerate

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