Innovative Projects Realized

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

31133 Completed Projects

2940
AB
5159
BC
837
MB
685
NL
882
SK
9292
ON
9695
QC
97
PE
601
NB
1161
NS

Projects by Category

Experimental investigation of using optical fiber sensors for monitoring pipe vibrations and potential applications in CANDU power plants

A nuclear reactor to a nuclear power plant is the same as the heart of a living human. The safe operation of the plant is directly related to the health of the reactor. Just as in the human heart, where blood circulates to deliver oxygen to the other parts of the body, coolant passes through the reactor core and distributes the heat to other parts of the nuclear power plant to drive the turbine generator for electricity generation. Similar to blood vessels (arteries and veins) near the heart, many pipes are connected to the reactor core. Just like our blood vessels, the consequences are disastrous if there is a break or a blockage. It can cause a serious accident. This project aims to explore new technologies based on fiber optic sensors to provide early detection of such events to improve the safety of nuclear power plants in Canada. This project will investigate the feasibility of using fiber optic sensors to monitor the health of the pipes.

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Faculty Supervisor:

Jing Jiang

Student:

Partner:

Kinectrics Inc.

Discipline:

Engineering

Sector:

Energy and Utilities; Technology; Information and Communications Technology

University:

The University of Western Ontario

Program:

Accelerate

Optimizing Cybersecurity Data Platform Operational Cost

We focus on building the systems that allow for the storage and analysis of big data for preventing cybersecurity attacks. This telemetry data is collected from customers by leveraging endpoint, network, and cloud data sources both inside and outside our customers’ networks. Our team then builds products that allows our customers as well as our own employees to make business intelligence queries against this large set of data, to better understand their security posture. As our customers grow, the services which host and serve data will need to scale as well. Arctic Wolf needs to make sure that the operational costs are optimized to ensure cost savings and scalability. This is a problem which needs to factor in the continuously changing landscape in technologies, the cost of upkeep to operate these technologies at scale, and continuously changing access patterns. The goal of this project is to research efficient use of cloud resources and services which is used to ingest, organize, and store billions of data points per day

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Faculty Supervisor:

Shurui Zhou

Student:

Partner:

Arctic Wolf Networks

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

From “Doctrine of Insentient beings” to AI Monk: Artificial Intelligence and the Technological Transformation of Buddhism

With the development of artificial technology in recent years, the relationship between AI and Buddhism has gradually become a frontier issue. This project will focus on three aspects:
First, based on the findings of previous scholars, it will further describe the “Doctrine of Insentient beings”, which connects the theory of “Insentient being has Buddha-nature” with AI.
Second, the latest AI monks in China, Japan, and Thailand, as well as the chat software for preaching such as Chatgpt, will be taken as cases to explain how AI can contribute to the modernization and transformation of Buddhism.
Furthermore, this project will highlight the limitations of using AI monk. It will also explore what is the real “machine enlightenment”. The aim is to further understand the relationship between Buddhism and AI in the post-epidemic era with rapid technological development.

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Faculty Supervisor:

Rongdao Lai

Student:

Partner:

The Chinese University of Hong Kong

Discipline:

Sociology

Sector:

Education

University:

McGill University

Program:

Globalink Research Award

Measuring International Entrepreneurial Competency

This important research project seeks to a) engage graduate students from University of Toronto in an immersive entrepreneurial experience in Taiwan in the fields of advanced computing, clean technologies and scientific innovation and b) measure the development of international entrepreneurial competencies impacted by this experiential learning. The student will complete an internship with Himax. He will participate in a variety of structured entrepreneurial learning activities and will work with Himax to learn about Taiwanese entrepreneurial innovation firsthand. Additionally, Mr. Kapur’s internship will include a research project related to gesture and gaze detection for edge devices. The findings of the international entrepreneurship highway evaluation will significantly inform future international entrepreneurial programming, which is hypothesized to lead to increased entrepreneurial activities in Canada and by Canadian overseas.

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Faculty Supervisor:

Andrea Duncan

Student:

Partner:

National Cheng Kung University

Discipline:

Business

Sector:

Technology; Education

University:

University of Toronto

Program:

Globalink Research Award

An Assessment of Cloud Data Management in the South African Construction Industry

In cloud computing, managing the vast amounts of data created by construction projects is challenging. The cloud cannot support peak data loads, and the owner has no control over the security of the data that is being stored. This creates a need to assess cloud data management in the construction industry as construction companies become reluctant to put confidential and critical data in the cloud. This study aims to create awareness among construction professionals about how cloud data management can be improved. Cloud computing technology can improve collaboration between project stakeholders and solve issues of enormous amounts of data generated by these projects. Hence, this study aims to identify the types of cloud data management services used, challenges to the usage of cloud data management, drivers of cloud data management usage, critical success factors of cloud data management, and strategies required to implement successful cloud data management in the SACI.

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Faculty Supervisor:

Sharfuddin Ahmed Khan

Student:

Partner:

University of Johannesburg

Discipline:

Engineering

Sector:

Education

University:

University of Regina

Program:

Globalink Research Award

AN ASSESSMENT OF THE USAGE OF COLLABORATIVE ROBOTICS IN THE SOUTH AFRICAN CONSTRUCTION INDUSTRY

The proposed research project assesses how collaborative robotics can be used in the construction industry. Humans may now engage and collaborate with robotics (Cobots), which are gradually being employed in the construction sector; therefore it is important to thoroughly understand the functions of Cobots and how they will assist in the near future. The purpose of the research is to evaluate the current use and future implementation of Cobots in the South African and Canadian construction industry. The sectors that will be mainly focused on include: the different types of Cobots, construction phases where Cobots can be applied, benefits and challenges of using Cobots, as well the critical factors of implementing Cobots. Expected outcomes of the study include potential applications to the construction industry and research publications (articles and journals). The possible findings for this research are: some professionals are not familiar with collaborative robotics and don’t utilize them on a daily basis.

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Faculty Supervisor:

Sharfuddin Ahmed Khan

Student:

Partner:

University of Johannesburg

Discipline:

Engineering

Sector:

Education

University:

University of Regina

Program:

Globalink Research Award

Composition of the diatom community of the Shahroud River and its tributaries (Qazvin water basin)

The floral composition, including algae, of the Qazvin basin, is poorly known. This basin is located on a mountain range that is a very important place in the world for its biodiversity and endemism, generated by the geological and topographic complexity. In this project we will identify the diatoms (silica algae) that inhabit the Shahroud River, collected from seven stations along the river, and compare and complement with chemical and physical data from the water also collected at the stations. The main aims of this project are: 1) to characterize the diatom composition of the river, upstream and downstream, 2) identify sites of pollution as indicated by diatoms and physico-chemical data, and, 3) to assess and characterize the water quality of the river. Results from this research are significant as they will help to contribute to the understanding of the biogeography of the diatoms in this region, and assess water quality of the basin.

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Faculty Supervisor:

Maria Velez

Student:

Partner:

Islamic Azad University

Discipline:

Life Sciences

Sector:

Life Sciences (not health); Sustainability & the Environment; Natural Resources

University:

University of Regina

Program:

Globalink Research Award

Cortical microstructural asymmetry in the human brain: laminar differentiation, organization, and heritability

Lateralization is one of the key principles of human brain organization. With a background in neuroimaging analysis of brain inter-hemispheric differences, the applicant Bin Wan will conduct his project in a Canadian research group which focuses on multimodal neuroimaging data. The intern will help with data acquisition of 7 Tesla MRI data in healthy individuals and will gain the experience of state-of-art neuroimaging techniques. He will get access to and deal with three datasets the research group have worked with including Human Connectome Project (n=1000), MICA-MICs 3T (n=50), MICA-MICs 7T (n=20), BigBrain (n=1), and AHEAD (n=2). In turn, he will analyze the hemispheric asymmetry on cortical microstructure using multimodal data, and draft a scientific manuscript of the project, which is expected to be published jointly after the internship.

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Faculty Supervisor:

Boris Bernhardt

Student:

Partner:

Forschungszentrum Jülich (Institut für Neurowissenschaften und Medizin)

Discipline:

Life Sciences

Sector:

Life Sciences (not health); Health and Related Sciences & Technology; Artificial Intelligence

University:

McGill University

Program:

Globalink Research Award

Image processing and machine learning for equine image analysis

Inspired by the success of deep learning approaches in human biomedical applications, applying deep learning in veterinary, specifically equine, diagnostic imaging is attracting increasing interest. The objective of this research project is to achieve automatic deep-learning based equine image analysis and assessment, including 1) automatic assessment of upper respiratory tract of racehorses from endoscopy videos; and 2) developing automatic assessment of horse phalanges from x-ray images. We believe that the developed DL methods can provide useful assisted-diagnostic tools that eases and speeds up the work of veterinarians. The developed algorithms will be integrated into the partner’s products, thereby significantly enhancing their competitiveness in the market, and contributing more to Canadian job market.

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Faculty Supervisor:

Jane Wang

Student:

Partner:

Point To Point Research and Development

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

The University of British Columbia

Program:

Accelerate

Structural-property relationship in actinyl complexes

The increasing demand for low-carbon energy has begun to amplify the development and usage of nuclear power. However, the generated nuclear waste is radiotoxic mainly due to the presence of heavy nuclei, such as actinides along with other fission products. This rises the need for selective remediation and storage of all radioactive actinides using non-toxic extractants. The major goals of this proposed project are twofold, (i) to utilize quantum-chemical calculations to design chemically efficient extractants with enhanced affinity towards actinides and its compounds, (ii) to understand the fundamental behaviour of unique 5f electrons of actinides and its dioxo compounds prior to and on complexation with these extractants.

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Faculty Supervisor:

H. Georg Schreckenbach

Student:

Partner:

SRM Institute of Science and Technology

Discipline:

Computer science

Sector:

Environmental Science and Technology; Sustainability & the Environment; Quantum Science

University:

University of Manitoba

Program:

Globalink Research Award

Calcium Carbonate Nanomaterial Foliar Sprays to Increase Climate Resiliency in Vineyards

Climate change is impacting food and agricultural crops through a variety of new challenges such as intense heat, unusually intense storms, unseasonal warming and freezing events and wildfires. Plants are not able to move and therefore cannot avoid climate shocks or relocate to find resources. Protecting crops from climate damage is critical to ensuring the sustainability of Canadian agricultural production systems. Imasco Minerals Inc. has a patented technology for production of nanomaterials of calcium carbonate. They have been working with several partners to develop proprietary manufacturing and blending technologies that produce foliar sprays to protect plants from climate damage. A small number of nano-calcium carbonate foliar sprays are already in the market in the USA and China. These sprays are thought to protect the photosynthetic apparatus in leaves thereby allowing the plants to continue to grow under intense light and heat. Agricultural industries in Canada use preparations of large clumps of calcium carbonate to control fungus blights but the nano-materials are not commonly used in Canada. As well, the exact physiological mechanisms of activity of nano-calcium carbonate in plants is not known.

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Faculty Supervisor:

Susan Murch;Lauren Erland

Student:

Partner:

Imasco Minerals Inc.

Discipline:

Physics

Sector:

Agriculture and Food; Nanotechnology

University:

The University of British Columbia - Okanagan

Program:

Accelerate

Effet du changement climatique sur l’évolution de la dynamique fluviale de la rivière Beaver Creek (Yukon, Canada), au cours des dernières décennies

Ce projet de recherche vise à étudier les effets du changement climatique en cours sur la dynamique fluviale d’une rivière évoluant en milieu périglaciaire (Beaver Creek, Yukon, Canada). L’évolution de sa dynamique sera reconstituée à partir d’images satellites et photographies aériennes en caractérisant les déplacements des îles et berges. A cette fin, seront analysés par l’intermédiaire de traitements cartographiques et statistiques les effets des modifications ayant affecté le régime hydrologique du cours d’eau, la température de l’air dans le fond de vallée, l’épaisseur et le type de pergélisol dans la plaine alluviale, et la nature du couvert végétale au sein du bassin-versant.

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Faculty Supervisor:

Daniel Fortier

Student:

Partner:

Université Paris 1 Panthéon-Sorbonne

Discipline:

Earth science

Sector:

Education

University:

Université de Montréal

Program:

Globalink Research Award

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Mitacs — Return on Innovation

Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.