Innovative Projects Realized

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

31915 Completed Projects

3006
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5256
BC
878
MB
703
NL
913
SK
9488
ON
9950
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98
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629
NB
1215
NS

Projects by Category

Autonomous Micro-Cell Multilevel Inverter for Utility Scale PV Farms

The proposed product “autonomous three-phase micro-cell multilevel inverter” comes to offer scalable and “plug and power-up” solution for both large scale photovoltaic PV farms and small-scale residential installations. These three phase micro-cells can be scaled in any direction (parallel or series) to increase output power or voltage. Furthermore, each micro-cell is small light weighted dc-ac converter that can be easily mounted on the PV module. Moreover, the proposed solution does not rely on centralized communications with a master unit to synchronize its output. Instead, it relies on stochastic engine that can estimate the physical location and order of each micro-cell and adjust its control accordingly. Hence, all micro-cells can work in harmony without any communication and supply the available solar power to the utility grid.

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Faculty Supervisor:

Vijay Sood

Student:

Partner:

I-INC Foundation for Business Development

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Ontario Institute of Technology

Program:

Accelerate

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:

Partner:

United Way Perth-Huron Social Research Planning Council

Discipline:

Sociology

Sector:

Health and Related Sciences & Technology; Other services (except public administration)

University:

University of Guelph

Program:

Accelerate

Équité et discrimination des modèles en assurance, un état de l’art

Historiquement, les primes d’assurance ont été ainsi différenciées à l’aide de quelques variables tarifaires, comme la surface de la maison en assurance habitation ou la puissance de la voiture en assurance automobile, mais aussi du genre ou de l’âge de l’assuré. Mais si la corrélation globale entre âge et coût du risque est indéniable dans de nombreux cas, et bien quantifiées par les modèles classiques, de régression ou d’apprentissage statistiques, les relations de causalité sont moins simples qu’il n’y paraît. Or ce sont ces dernières qui peuvent justifier le caractère juste d’un tarif. Et plusieurs directives à travers le monde ont demandé un principe d’égalité de traitement lors du calcul des primes. Le but de ce projet est d’analyser cette possible discrimination des algorithmes de tarification, et d’envisager des tests statistiques.

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Faculty Supervisor:

Arthur Charpentier

Student:

Partner:

Ernst & Young LLP

Discipline:

Mathematics

Sector:

Finance and Insurance

University:

Université du Québec à Montréal

Program:

Accelerate

Risk of Confusion for Trademarks

An important legal task for which natural language processing has a use-case is for assessing the risk of confusion for trademarks. By means of a thorough understanding of factors which are used by legal professionals to make decisions in this domain, we replicate the process by using state-of-the-art deep learning models for natural language processing. Furthermore, we promote access to justice by enabling members of the general public to utilize this framework, with much simpler input requirements. In other words, our system has a strong foundation in trademark law, and is able to provide useful information to people looking to protect their intellectual property.

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Faculty Supervisor:

Xiaodan Zhu;Samuel Dahan

Student:

Partner:

I-INC Foundation for Business Development

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Queen's University

Program:

Accelerate

Development of deep neural networks for analyzing the prospectivity of Nova Scotia offshore basins

Unlocking the energy potential of offshore basins is key to fully evaluate Canada’s ability to satisfy its future energy demand while respecting UN Sustainable Development Goal 7, Affordable and Clean Energy. In frontier basins, including offshore Nova Scotia, deep-water exploration entails various risks due to uncertain geological settings, thus requiring comprehensive prospect analyses and risk assessments. One of the major sources of hazard is mass transport deposits (MTDs), which commonly host over-pressured subsurface zones. MTDs constitute a considerable volume of sediments in deep-water environments, and understanding their distribution is crucial in assessing drilling hazards and development planning. Here, we propose designing and implementing the first artificial intelligence platform to automatically identify MTDs in over 10,000 square kilometres of offshore Nova Scotia. Further, we apply state-of-the-art processing and interpretation techniques on multiple geophysical and well datasets to determine the distribution and reservoir potential of identified MTDs and associated sediments. We will explore how submarine sediment failures control the formation of new deep-water channel systems, thus delivering new insight on sediment transport and accumulation mechanisms. The proposed project will contribute to understanding Nova Scotia’s offshore energy resources.

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Faculty Supervisor:

Vittorio Maselli

Student:

Partner:

Offshore Energy Research Association of Nova Scotia

Discipline:

Earth science

Sector:

Mining; Professional, scientific and technical services

University:

Dalhousie University

Program:

Elevate

Nighttime Bed Occupancy Pilot Project

The care and safety of Persons Living with Dementia (PLWD) within assisted living and other communal living models is extremely important. One key symptom of dementia is disorientation for time and/or place and this can lead to wandering behaviours for residents. Overnight in care homes, the limited is focused on required resident care cannot watch all residents that are expected to be sleeping in their rooms. A resident that wanders is at risk for falls or may wander into the room of another resident disturbing them or worse. The result is that care homes need a solution that can monitor and alert staff for residents that have left their beds but do so in a way that does not disturb other residents. This project will assess the Tochtech SleepSense sensor within a specialized memory care facility to assess its performance and effects of staff workflow and efficiency.

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Faculty Supervisor:

Bruce Wallace;Mirou Jaana;Frank Knoefel

Student:

Partner:

Elizabeth Bruyere Continuing Care Hospital;Tochtech Technologies Ltd.;All Seniors’ Care

Discipline:

Engineering

Sector:

Information and cultural industries; Manufacturing; Professional, scientific and technical services

University:

Carleton University

Program:

Accelerate

Applications Of Data-Driven Analytics and Decision-Making Optimization for Solar-powered Energy Hubs Integrated With Electrical Vehicles

The worldwide urge to seek solutions for global warming and its negative environmental impacts, has driven the increased adoption of renewable energy resources and electric vehicles (EVs). This increase in the share of renewable energy generation and EV users has widened the implementation of distributed energy resources (DERs) systems and encouraged the move towards developing and modeling smart energy hubs. Boxbrite Technologies is a leading cleantech company in the region of Waterloo and develops software solutions for the renewable energy industry that aims to optimize energy systems. The solar charging systems that are overseen by Boxbrite are examples of energy hub systems, which can be better optimized via the full utilization of available data. However, several challenges are imposed on the energy hub optimization that include EVs charging system due to high degree of uncertainties in renewable DERs power output, demand, and unavailability of accurate forecasting profiles for the renewable power generation and EV charging behaviour. This research will take the full advantage of recent advancements in big data tools by strategically integrating them within the energy system decision-making. The proposed project is designed to be a top-to-bottom comprehensive study to investigate how energy hubs powered by renewable energy and EV infrastructure can be utilized to enhance the profitability of all stakeholders involved. It is expected that this project will guide the deployment of renewable DER on a larger scale, providing deeper visibility into the performance of energy hubs as one of the potential solutions to Canada’s decarbonization goals.

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Faculty Supervisor:

Ali Elkamel

Student:

Partner:

Boxbrite Technologies Inc.;Net Zero Atlantic

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Waterloo

Program:

Elevate

« Optimisation des aspects mécaniques et électriques d’une plateforme de forage hybride en utilisant l’aluminium pour l’industrie pétrolière, minière et géothermique.».

Ce projet porte sur le développement d’une plateforme de forage de haute performance en aluminium, hybride électrique-diesel destiné aux secteurs pétrolier, minier et géothermique. Le projet prévoit principalement l’analyse d’un prototype en tenant compte des aspects de sécurité, la stabilité et la facilité d’entretien. Dans cette perspective, le groupe de recherche de l’Université du Québec à Rimouski (UQAR) et la compagnie Caron Technologie International (CTI) ont décidé d’unir leurs forces et de mettre en place un projet d’envergure dans le domaine de la fabrication de pointe. Cette grappe Mitacs comprend 6 stages. Elle permettra à CTI d’avoir un concept de qualité de foreuse hybride sécuritaire, de haute performance et ayant peu d’incertitude.

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Faculty Supervisor:

Noureddine Barka

Student:

Partner:

Caron Technologies International Inc.

Discipline:

Engineering

Sector:

Manufacturing

University:

Université du Québec à Rimouski

Program:

Accelerate

Developing Customizable and Affordable Medical Simulation Solutions by Facilitating the Transfer of Research Driven Products into the Simulation Market.

The goal of the proposed research project is to design and develop an application called 3DCrowdGo that uses crowdsourcing to fill the COVID-19-induced gap in health professions simulation training via community-based 3D printing. Since COVID-19 has pushed simulation labs to be held virtually, learners are in need of affordable and portable simulators. 3DCrowdGo will connect this need with 3D printer owners and hobbyists within the local community who will be able to 3D print the necessary simulators so that learners can continue to practice technical skills outside of the classroom.

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Faculty Supervisor:

Adam Dubrowski

Student:

Partner:

I-INC Foundation for Business Development

Discipline:

Sociology

Sector:

Professional, scientific and technical services

University:

University of Ontario Institute of Technology

Program:

Accelerate

The Mood Disorders Society of Canada (MDSC) Virtual Assistant: A machine learning and artificial intelligence chatbot to support the mental health of frontline healthcare workers

Mental disorders are the leading cause of disability in Canadaxiii. Unfortunately, there are significant gaps in care including a lack of support in navigating the mental health systemxivxvxvixvii. It is widely agreed by the medical community that there will be a wave of widespread need for mental health related services resulting from COVID-19xviii, which will only further exacerbate existing system issues.
With 91% of Canadians actively using the internetxix, new digital technologies that harness the internet can be leveraged to bridge gaps in services, increasing the ease and ways in which people can access mental health services, and in-turn improving their health outcomesxx.
This pilot study will develop, activate, and evaluate state-of-the-art artificial intelligence and machine learning, in the form of a chatbot (called the MDSC Virtual Assistant), to support the mental health of front-line health care workers and their families. Our goal is to examine whether the bot effectively helped people connect with the right services, if users were satisfied with their experience with the bot, and whether the bot supported their wellbeing.

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Faculty Supervisor:

Osmar Zaiane;Eleni Stroulia

Student:

Partner:

Mood Disorders Society of Canada

Discipline:

Computer science

Sector:

Other services (except public administration)

University:

University of Alberta

Program:

Accelerate

Toxic Disinformation: Credibility Attacks Against Journalists

Journalists around the world face attacks on their reputations and efforts to undermine the impact of their work. These “credibility attacks” can take the form of false allegations, insults about their character or professionalism, or denigration of their social identity. They often take place online, and in some cases involve disinformation tactics such as doctored images and accusations spread by actors using fake identities. Anecdotal cases of credibility attacks have received attention but there is no systematic study of their prevalence globally, the forms they take, or their impact on journalists. While there is growing recognition of online harassment of female journalists, much less attention is given to issues of ethnicity, race or religion. Working with PEN Canada, UBC researchers will address these knowledge gaps to improve understanding of this issue and propose measures to counteract it.

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Faculty Supervisor:

Peter Klein;Rithika Shenoy

Student:

Partner:

PEN Canada

Discipline:

Sociology

Sector:

Other services (except public administration)

University:

The University of British Columbia

Program:

Accelerate

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:

Partner:

I-INC Foundation for Business Development

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Toronto Metropolitan University

Program:

Accelerate

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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.