Innovative Projects Realized

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

13270 Completed Projects

1072
AB
2795
BC
430
MB
106
NF
348
SK
4184
ON
2671
QC
43
PE
209
NB
474
NS

Projects by Category

10%
Computer science
9%
Engineering
1%
Engineering - biomedical
4%
Engineering - chemical / biological

Distributed traffic management system for future urban mobility

As a solution to reduce congestion on vehicular roads and mitigate longer travelling times, this technology provides the most optimal routes for drivers by guaranteeing the shortest travel time in an eco-friendly environment. The technology relies on communication to road-side intelligent intersection agents with embedded sensors that to estimate routes based on the real-time road link traffic status. The system is capable to distribute traffic in an efficient manner to control and coordinate vehicular movements.

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Faculty Supervisor:

Bilal Farooq

Student:

Godwin Badu-Marfo

Partner:

Incubate Innovate Network of Canada

Discipline:

Engineering - civil

Sector:

Professional, scientific and technical services

University:

Ryerson University

Program:

Germicidal Robotic Systems

Coronavirus is highly contagious. It can remain active and infectious on cardboard, fabric, and paper for up to 24 hours, on plastic, stainless steel, and countertops for up to three days. Decontamination, sterilization, and disinfection are standard procedures to prevent and reduce the spreads of COVID-19. The conventional method of decontamination and disinfection is through manual cleaning, which is labor-intensive, error-prone, and ultimately unable to disinfect completely.
There is a wealth of evidence indicating the effectiveness of the ultraviolet germicidal irradiation, UVC, as a disinfection method for the prevention of various infectious diseases. This proposal presents a low-cost and automated approach to disinfect enclosed environments. We use UVC, robotics, and artificial intelligence to present efficient and affordable solutions. The proposed design not only is beneficial to the Canadian healthcare and public systems but also to other countries, particularly the countries with weaker healthcare systems.

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Faculty Supervisor:

Sajad Saeedi

Student:

Nikolaos Kourtzanidis

Partner:

Incubate Innovate Network of Canada

Discipline:

Engineering - mechanical

Sector:

Professional, scientific and technical services

University:

Ryerson University

Program:

Advancing sea ice monitoring in the Arctic using innovative radar technologies

Year-round sea ice monitoring in the Arctic is critical for understanding and predicting global climate change. Current satellite-based observation shows limitation in identifying sea ice types. This project aims to utilize advanced satellite-based radar imagery to develop novel Arctic sea ice monitoring system. Proposed research aims to contribute towards developing innovative sea ice products through next-generation Earth Observation technology. Thus, this research will ensure Canada’s environmental stewardship by providing reliable and improved Arctic sea ice information to the Inuit communities. Additionally, this project will bring synergy between academic and partner organization to improve Arctic sea ice monitoring for safer maritime operations in the Arctic, especially for efficient identification of thick ice in the Northwest Passage to avoid potential shipping hazards, which are essential for Arctic research and operations.

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Faculty Supervisor:

John Yackel

Student:

Mallik Mahmud

Partner:

Sigma Sensing Inc.

Discipline:

Geography / Geology / Earth science

Sector:

Other

University:

University of Calgary

Program:

Digital data: linking rural innovation, access, and resiliency through community hubs

Online Digital Hubs (ODH) have the capacity to promote resiliency and connectivity, countering barriers to accessibility and disruption (Lamport-Lewis & Deacon 2020; McShane et.al 2012; Rundel et.al 2020). This is of particular relevance in rural and peri-rural spaces as traditional third spaces such as churches and community centers are in decline, taking with it opportunity for knowledge sharing and overlooking the lack of resources for new and atypical voices in community planning. In collaboration with the Social Research and Planning Council of United Way Perth Huron, this project will investigate how online forums and databases have the capacity to bridge the divide in communication and digital navigation which can exist in virtual communities. The project will illustrate the benefit, potential, and future application of ODH across Perth Huron through an analysis of existing hubs globally, emphasis on rural and Canadian context. The project deliverable will be a report outlining findings and relevance for future action which the United Way Perth Huron shall use for the planning of future projects and discussions with community partners.

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Faculty Supervisor:

Leith Deacon

Student:

Kaleigh VanBokhorst;Mohammed Jalabi

Partner:

United Way

Discipline:

Environmental sciences

Sector:

Health care and social assistance

University:

University of Guelph

Program:

Accelerate

Temporary Migrant Farmworkers in Essex County: Building Community Inclusion in a Post-COVID-19 Context

Temporary migrant farm workers make essential contributions to our national food supplies as evidenced during COVID-19. Their exclusion from rights to labour mobility, family unity and the absence of systemic supports, however, undermines workers’ wellbeing and belonging, and the inclusions to which migrant workers are entitled. There is less attention to how communities support their access to service and enhance their inclusion and wellbeing. The project will examine how community-based initiatives advanced during COVID-19 through the Windsor Essex Immigration Partnership Council supports the inclusion of migrant workers. The project will employ a qualitative community-based research methodology, and conduct interviews with community stakeholders and temporary migrant farm workers to identify workers’ needs, how workers live in, make use of, and identify the barriers to inclusion they experience in Windsor-Essex. The project will benefit community efforts to identify migrant workers needs, gaps in service and recommendations that include migrant workers experiences.

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Faculty Supervisor:

Glynis George

Student:

Jemimah Amos;Erika Borelli

Partner:

Workforce WindsorEssex

Discipline:

Resources and environmental management

Sector:

Other

University:

University of Windsor

Program:

Accelerate

Investigating social-ecological enabling conditions for the revitalization of Indigenous clam management systems in an urban context

The general objective of the proposed activity is to increase the future productivity of Burrard Inlet and the contribution of seafood to the diet of Tsleil-Waututh Nation (TWN) members in support of the TWN Cumulative Effects Monitoring Initiative. Specifically, we propose to identify the primary environmental drivers of clam productivity and species composition in Burrard Inlet (ecological analysis); facilitate a platform for community knowledge exchange and collective visioning (transformation lab/knowledge exchange); as well as identify long-term desired outcomes and associated indicators for TWN clam tending practices in Burrard Inlet (semi-structured interviews).

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Faculty Supervisor:

Anne Salomon

Student:

Maya Guttmann

Partner:

Kerr Wood Leidal Associates Ltd.

Discipline:

Environmental sciences

Sector:

Professional, scientific and technical services

University:

Simon Fraser University

Program:

Accelerate

Quantifying diaphragm perfusion in humans: A novel application of contrast-enhanced ultrasound

As oxygen demand increases (e.g., exercise), the availability of oxygen decreases (e.g., high altitude) or cardiopulmonary function is impaired (e.g., respiratory disease), our cardiopulmonary system works at a greater percentage of its maximal capacity to supply oxygenated blood to tissues. Currently, there is no reliable way of determining the blood flow to the respiratory muscles. The current technique (near-infrared spectroscopy with injectable dyes) has conflicting data and limitations which hinders our understanding of respiratory muscle blood flow. We aim to develop, validate, and assess the reliability of blood flow within the respiratory muscles using ultrasound with an injectable contrast agent. This project is expected to benefit Kent Imaging Inc. as it develops video analysis of blood flow which might be able to be applied to future medical imaging devices.

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Faculty Supervisor:

Glen Foster

Student:

Jordan Douglas Bird

Partner:

Kent Imaging Inc.

Discipline:

Other

Sector:

Health care and social assistance

University:

University of British Columbia Okanagan

Program:

Accelerate

Development of coconut oil-like seed oil through heterologous expression of thioesterases in Arabidopsis

Canola oil cannot be used in the margarine and surfactant industry in contrast to Cocos nucifera (coconut) that grows in tropical and subtropical regions. Although the canola industry is one of the most innovative, obtaining coconut oil-like canola seed oil has not been established yet. In this proposal, we will investigate multiple approaches to facilitate the development of a coconut oil-like seed oil in Arabidopsis. Our goal is to develop applied approaches to develop coconut oil-like canola seed oil, which will be an important supply for the Canadian industry.

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Faculty Supervisor:

Marcus Samuel

Student:

Ajay Devendran

Partner:

Farmer's Legacy Biotech

Discipline:

Biology

Sector:

Other

University:

University of Calgary

Program:

Deep Learning for Automatic Melody Harmonization

Beginner music composers often face difficulty in harmonizing a melodic idea. Particularly, if they lack music theoretical knowledge. It is well-understood that chord successions follow patterns. With some limitations, artificial intelligence algorithms can capture those patterns. A melody “harmonizer” model proposes harmonizations for the user’s melodies. The suggestions are often based on learned patterns from existing musical compositions, for example, the chorales by J. S. Bach. A model may learn patterns found in Bach’s compositions, applying them in new music. An alternative approach may be to condition the music generation with certain constraints. For example, performing a music-theoretical analysis of the melody first. The model generates harmonies based on the tonal analysis of the melody. This project consists of developing a melody harmonization system using the latter approach. The system is intended to operate with Sibelius and Pro Tools, two software applications developed by Avid Technology.

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Faculty Supervisor:

Ichiro Fujinaga

Student:

Néstor Nápoles López

Partner:

Discipline:

Music

Sector:

Information and cultural industries

University:

McGill University

Program:

Digital Twin for Proactive Maintenance of Data Centre

The data centre management is paramount to ensure the uptime operation. This research aims to develop a digital twin platform using the industrial Internet of Things, edge and cloud computing, and artificial intelligence for predictive maintenance of data centre. The facilitate maintenance scheduling and data centre energy consumption could be further optimized through the digital twin platform, which enables the prediction with a virtual representation of the physical asset or a process. The interns will have the chance to work with industry partner in a multi-disciplinary team. This project will give valuable insight into the real industry problem and enable the collaborative research with academia.

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Faculty Supervisor:

Zheng Liu;Eric Li

Student:

Yanshuo Fan

Partner:

Infocube

Discipline:

Engineering

Sector:

Information and cultural industries

University:

University of British Columbia Okanagan

Program:

Accelerate

Surfing the Innovation Wave: Accelerate Development of Eco-efficient Technologies for Municipal and Industrial Water Treatment

Global population growth, urbanization and changing climate patterns have increased the demand for potable water, wastewater reuse and value recovery from wastewater, treatment of industrial process water, and food and beverage. Consequently, there is increased demand for improved technologies that can provide sustainable treatment of water and wastewaters, and development of new fluid treatment methods. This research project will develop knowledge by combining new technological advancements in LEDs and Internet of Things with existing UV and filtration technologies to improve water and energy sustainability as well as develop products for new industrial applications. These efforts will significantly enhance Trojan Technologies long-term competitiveness. It is expected that this academic/industry collaboration model will greatly benefit the learning and experience of interns and help accelerate innovation at Trojan.

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Faculty Supervisor:

Madhumita B Ray;Eric Johlin;Katarina Grolinger;Christopher DeGroot;Charles De Lannoy;Keith Warriner;Terry D'Silva;Jessica Carter;Margaret Carter;Justin Randall;Cheryl Ketola;Amy Turnbull;Ray Schott;Brad Smith;George Nakhla

Student:

Mohamad Amin Halali;Ahmed Shawki Ahmed

Partner:

Trojan Technologies

Discipline:

Engineering - chemical / biological

Sector:

Construction and infrastructure

University:

Program:

Accelerate

Developing a standardized, commercially viable and scalable Software-as-a-Service model which can be customized for customer retention, acquisition, and monetization using predefined adaptation strategies

Apps, mobile games, cloud based services have become ubiquitous and integral to our daily lives. These apps, although free to use, can be expensive to produce and make money either through ads or in-app or program purchases. Companies developing these services have to make software that are not only easy to use and attractive, but also integrate money making attributes without affecting user experience, thereby building a loyal user base. This research is focused on developing a standardized framework for building scalable and adaptable software to provide companies a way not only to generate revenue but also adapt it for mass use around the world.

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Faculty Supervisor:

David Fracchia

Student:

Karan Shah

Partner:

First Fund

Discipline:

Medicine

Sector:

Finance, insurance and business

University:

Simon Fraser University

Program:

Accelerate

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