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

Developing Provisional Publishing Guidelines Informed by Indigenous Storytelling and Knowledge Keeping Protocols

This project will develop provisional guidelines for publishing texts for and by Indigenous people. Each story, each storyteller, and each nation presents a different case, and there can be no set of rules. The objective is to outline a provisional, adaptable set of principles, questions, and considerations to guide the process of selecting, editing, publishing, and marketing manuscripts. The knowledge base in this area will be expanded via interviews with professionals and community members with insight and experience to share; a comprehensive review of existing scholarly and other literature on the subject of Indigenous publishing; and through learning by doing as I work to republish several classic titles at Theytus Books. The guidelines will be a tool intended for continual adaptation by Indigenous authors, editors, and publishers, and will be submitted for review and feedback by my colleagues in the field of Indigenous publishing.

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Faculty Supervisor:

John Maxwell

Student:

Rachel Taylor

Partner:

Theytus Books

Discipline:

Visual arts

Sector:

Aboriginal affairs

University:

Program:

Accelerate

Automatic Delineation of Seismocardiogram and Gyrocardiogram Signals

The project aims at accomplishing the real-time delineation of both Seismocardiogram and Gyrocardiogram signals (which are associated with different stages of the cardiovascular cycle) and effectively extracting cardiac performance metrics (fiducial points) for use in a non-invasive portable diagnostic tool as the deviations of the either timing or amplitude can be indicative of abnormality in heart performance. In other words, the focus is to find an effective technique for the diagnosis and prognosis of different cardiac diseases to screen at-risk individuals who have cardiac conditions and provide them an early treatment.

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Faculty Supervisor:

Antony Hodgson

Student:

Te Zhao

Partner:

Heart Force Medical Inc.

Discipline:

Engineering - mechanical

Sector:

Medical devices

University:

Program:

Accelerate

Establishment of a Pressure Ulcer Biobank from Spinal Cord Injury Patients

Pressure ulcers (PUs) are a major health problem in people with spinal cord injuries (SCIs). PUs increase hospital admissions, with 25% of SCI treatment cost linked to PU management. Currently, treatment is limited and new therapeutic options are required. Wound fluid from PUs is invaluable for researchers as it allows a detailed study of the disease. However, no system is in place to systematically collect and store SCI PU wound fluid in British Columbia. In response, the aim of this proposal is to collaborate with the Rick Hansen Institute (RHI) to establish a PU biobank. The RHI have access to large numbers of SCI patients and have developed a non-invasive technique to extract would fluid from PUs. Together, this biobank will provide an invaluable tool for researchers and assist with the overall goal of RHI to accelerate the translation of discoveries into improved treatments for people with SCIs.

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Faculty Supervisor:

David Granville

Student:

Sho Hiroyasu

Partner:

Rick Hansen Institute

Discipline:

Medicine

Sector:

Medical devices

University:

Program:

Accelerate

The Greater Toronto Area Watershed Readiness Pilot Project: Gaging how climate and land use change might impact aquatic ecosystems in urban environments.

Cities are often located near sources of water such as lakes, rivers, and oceans. Due to their location, the effects of climate change and urbanization will introduce unique challenges to aquatic habitats located within cities. These challenges could range from flooding, extreme wind, ice storm damage, extreme heat events, and drought as well as long term climate changes. Not only will climate and land use change impact everyday life and personal property, but these changes will impact the ecosystem components and services of urban drainage systems, i.e., species diversity, water flow systems, nutrient export, dilution of pollutants, habitat for water-based plants and animals. Therefore, it is imperative to understand how to address these environmental impacts before they become too severe to ameliorate. This project will provide the TRCA with innovative research that will allow the conservation authority to measure, mitigate and respond to potential impacts of climate change on aquatic ecosystems in urban environments.

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Faculty Supervisor:

Stephanie Melles

Student:

Adisa Julien

Partner:

Toronto and Region Conservation Authority

Discipline:

Biology

Sector:

Natural resources

University:

Program:

Accelerate

Ultra-reliable and low-latency communication for industrial use case

Ultra-reliable and low latency communication is increasingly an important aspect of future wireless communications. Specifically, in the context of mission critical communications for large-scale networks of sensors and actuators in automated and/or remote-control applications, low-latency wireless communication with high level of determinism is a vital element. The key performance indicators for such use case are in sharp contrast to the current broadband communications, since latency and reliability are paramount but lower data rates can be tolerated. In the context of motion control in industrial automation, ultra-high reliability of nine nines is expected from the communication system in ultra-low latency of one millisecond or less. Such requirements introduce new challenges for the research community that require novel wireless communication solutions to be addressed.

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Faculty Supervisor:

Wei Yu

Student:

Seyed Arvin Ayoughi

Partner:

Nokia Canada Inc.

Discipline:

Engineering - computer / electrical

Sector:

Information and communications technologies

University:

Program:

Accelerate

A reinforcement learning approach to establishing a Q&A symptom checker to evolve the performance of the visual diagnosis system for dermatological diseases

The partner is creating artificial intelligence which can help diagnose over 1,300 skin conditions with dermatologist-level accuracy. They are focused on building the functionality that is to be deployed through their app and web-interface that makes it possible to snap a photo, ask questions, and get an instant diagnosis. The partner is very focused on the project given its critical need as part of the overall system/solution. The main objective of the project is to enhance and finalize Triage’s diagnostic system to the point where it is ready to be launched. Their current technology can perform a visual examination of a patient’s skin, with the existing capability limited by the inability to incorporate other context (e.g. symptom data, patient history) from the user for higher accuracy. 

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Faculty Supervisor:

Amir-massoud Farahmand

Student:

Mohamed Akrout

Partner:

Triage

Discipline:

Computer science

Sector:

Medical devices

University:

University of Toronto

Program:

Accelerate

The social license to operate: insights from Eeyou Istchee

The rise of local corporate–community conflicts surrounding development projects represents a trend rather than exceptional events, highlighting corporate–community relations as a prominent strategic issue.  Despite the emergence of these issues for businesses, civil society, and governments, we still have a limited understanding of the conditions necessary for building and maintaining good relations over a long period of time and at all stages of a project’s life cycle. Moreover, little is known about how to implement successful corporate–community relations, especially in environmentally-sensitive industries (e.g. mining, forestry, energy, etc.). As an interface for managing daily relations between Hydro-Québec and the Cree First Nation to alleviate the impacts of hydroelectric development in Eeyou Istchee, the Niskamoon Corporation provides an efficient framework for cooperation between the Cree people and Hydro-Québec, enabling the implementation of the Cree/Hydro-Québec Agreements. This research project aims to validate this model and to examine in greater detail its relationship with the social license to operate five years after the signature of the agreement.

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Faculty Supervisor:

Taïeb Hafsi

Student:

Sofiane Baba

Partner:

Niskamoon Corporation

Discipline:

Business

Sector:

Environmental industry

University:

HEC Montréal

Program:

Accelerate

Tracing the Historical Plays of Power in Alberta’s Recreation System

When we research the knowledge of the past, we also research the conditions of possibility for different futures (Foucault, 2003; Peers, 2015). Therefore, the purpose of this research project is to use the traces of the past to question the practices that have come to be naturalized within Alberta’s recreation system (e.g., providing pay-per-use recreation opportunities in big box facilities). Using an intensive archival research process, as well as a series of ongoing community conversations, we hope to uncover what is problematic and dangerous in recreation’s practices and discourses. In doing so, we hope to learn how recreation professionals specifically, and society more broadly, might think about and practice recreation differently.

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Faculty Supervisor:

Maria Mayan

Student:

Lisa Tink

Partner:

Canadian Playground Safety Institute

Discipline:

Epidemiology / Public health and policy

Sector:

Medical devices

University:

University of Alberta

Program:

Accelerate

Modeling and Measuring Insurance Risks Considering IFRS 17 Framework

The objective of the project is to design a model determining capital requirements associated with property and casualty insurance business lines for an insurer that is compliant with the new IFRS 17 framework (international accounting framework). Several subcomponents of the model will be developed such as a dynamic model embedding dependence for the evolution of incurred but not reported (IBNR) claims, a risk measurement component with risk measures and an allocation framework for capital requirements across the various business branches of the insurer.

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Faculty Supervisor:

Melina Mailhot

Student:

Carlos Andrés Araiza Iturria

Partner:

Eckler Ltd. Consultants & Actuaries

Discipline:

Mathematics

Sector:

Finance, insurance and business

University:

Concordia University

Program:

Accelerate

Rapid Operations Planning for Space Robotics Using Machine Learning

Few things in space flight are routine. Before each time MDA operates the International Space Station’s famous Canadarm2, thousands of simulations must be performed to ensure the success and safety of the operation. This research intends to streamline the process of operations planning for Canadarm2 by using machine learning to predict key outputs from these simulations. If a particular case appears problematic, the algorithm can suggest why and allow MDA to focus their efforts on preventing the issue without having to perform a lengthy analysis of all possible cases. This approach to mission planning can also provide a tool to advise operators in real time of the estimated probability of success. Future applications may extend beyond Canadarm2 to include planetary rovers or even robot-assisted surgery.

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Faculty Supervisor:

Robin Chhabra

Student:

Justin Mansell

Partner:

MacDonald Dettwiler and Associates Ltd.

Discipline:

Aerospace studies

Sector:

Aerospace and defense

University:

Carleton University

Program:

Accelerate

Anomaly Detection in transactions volumes

The objective of the project is to investigate how machine learning techniques can be used to detect anomalies in volumes of transactions. This requires the student to conduct a literature review about the topic as well as experimenting with a subset of selected machine learning techniques. The results from the research could help the partner organization in improving in place mechanisms used to detect anomalies in volume of transactions.

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Faculty Supervisor:

Anthony Bonner

Student:

Hervé Vincent Dukuze

Partner:

Ethoca Technologies

Discipline:

Computer science

Sector:

Information and communications technologies

University:

University of Toronto

Program:

Accelerate

Development of deep learning pipeline for automatic segmentation and classification of cardiac magnetic resonance images

Heart disease is the main reason of death worldwide. One way to understand better and detect heart diseases without need for biopsy via surgery is by using medical imaging such as magnetic resonance imaging (MRI). Cardiac magnetic resonance is a specific kind of MRI which allows great visualization of inner parts of the heart and can be used for measuring the size of the heart and its chambers, which can be very useful for understanding blood flow and other potential markers of disease. One problem with modern technologies for measuring parts of the heart is that they are often unreliable because of the data complexity. In this project, we use advanced artificial intelligence techniques to solve that problem. Our techniques are going to be used to obtain better representations of the internal chambers of the heart which can be useful for assessing several kinds of heart diseases.

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Faculty Supervisor:

Richard Frayne

Student:

Luis Souto Maior Neto

Partner:

Circle Cardiovascular Imaging Inc

Discipline:

Engineering - biomedical

Sector:

Medical devices

University:

University of Calgary

Program:

Accelerate

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