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

Documenting Indigenous Ecological Knowledge to examine Atikameg (lake whitefish) and Namegosag (lake trout) interactions in Saukiing Anishinaabekiing

“Etuaptmumk (Two-Eyed Seeing)” is a framework for bringing together different worldviews in search of mutual benefit. In partnership with the Saugeen Ojibway Nation (SON), this project is using an Etuaptmumk (Two-Eyed Seeing) approach to bridge Indigenous Ecological Knowledge (IEK) and Western science to inform locally relevant fisheries governance on Lake Huron. Using both knowledge systems, this project will examine the problem of declines in lake whitefish, how interactions with lake trout affect the collapse, and report on community-led solutions. This is a priority issue for the SON as lake whitefish supports an important commercial fishery and is an essential component of their diets and culture. An Intern will undertake interviews with SON fish harvesters and Elders to document their IEK. Alongside this, Western science-based research will be completed by other team members to quantitively evaluate lake whitefish declines. The Intern will also play an important role in studying how Etuaptmumk (Two-Eyed Seeing) can be used to support effective fisheries governance and more equitable research relationships.

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Faculty Supervisor:

Kristen Lowitt;Charles Levkoe

Student:

Whitney Larratt-Smith

Partner:

Bagida-waad Alliance

Discipline:

Environmental sciences

Sector:

Other services (except public administration)

University:

Program:

Accelerate

Development of AI-enabled Intelligent NDT Platform

Nondestructive evaluation (NDE) is frequently performed for various manufacturing sectors, but its current practices require human operators to be involved in all aspects of the data collection, transfer and analysis. With the advent of Industry 4.0, NDE technology needs to be upgraded to “NDE 4.0” comprising essential aspects such as automatic and autonomous NDE, interconnectivity for data communication, and real-time data analytics using AI, which cannot be achieved with current technology. In this program, we will develop a new hybrid NDE that can address these aspects to realize NDE 4.0.
In this project, we will develop a new intelligent NDE platform that controls the NDE process, interprets the data using AI algorithm, and communicates with the cloud server in real-time.
The proposed research will give Canada a competitive edge in the study of NDE, structural health monitoring and the integration of NDE with real-time AI. This integration will enable a higher level of NDE technology, allowing Canadian industry to thrust into NDT service and equipment market, while ensuring the safety of the products, structures, and infrastructure.

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Faculty Supervisor:

Hyock Ju Kwon

Student:

Ali Rafiei

Partner:

HJ Machine & Pattern

Discipline:

Engineering - mechanical

Sector:

Manufacturing

University:

University of Waterloo

Program:

People, Places, Policies and Prospects: Affordable Rental Housing for Those in Greatest Need

This research project examines affordable housing options and experiences of those in greatest need. The regional Ottawa team is part of a national collaboration of researchers, practitioners, and community partners forming the “housing for those in greatest need” node of the CMHC-SSHRC Collaborative Housing Research Network of the National Housing Strategy. The national project examines various sub-populations of marginalized groups of people in different regions in Canada. The Ottawa regional team is using a community-based participatory research approach to examine the experiences of formerly homeless youth experiences with accessing and living in various affordable housing options. This research will provide a better understanding of youth experiences in affordable housing, and how to improve mechanisms that address youth homelessness and improve affordable housing options and experiences for youth populations.

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Faculty Supervisor:

Blair Rutherford

Student:

Andrew Crosby

Partner:

United Way Ottawa

Discipline:

Sociology

Sector:

Other services (except public administration)

University:

Carleton University

Program:

Accelerate

Dynamic Scheduling of NPC Behaviours in Modern Video Games

Persistent Non Player Characters (NPCs) in many modern video games follow schedules guiding their routines and behaviors over time as the player engages in play inside the game’s virtual world. In a game like Ubisoft’s recently released Watchdogs: Legion, where schedules are a player-facing game mechanic, a robust scheduling system is highly important and critical to the game’s financial and critical success.
Making good schedules for NPCs in this context, however, is surprisingly complex. To address challenges in this space, we will leverage artificial intelligence and machine learning to build a system capable of generating “good” schedules. In this context, schedules are deemed “good” if they pass designer defined heuristics and measures of fitness. Using feedback and reinforcement, the system will be extensively trained to iteratively generate better and better schedules until it can consistently pass the “goodness” test, at which point it is ready for deployment and production use.

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Faculty Supervisor:

Michael Katchabaw

Student:

Jonathan Tan

Partner:

Ubisoft

Discipline:

Computer science

Sector:

Information and cultural industries

University:

Western University

Program:

Accelerate

DEVELOPMENT OF A NON-INTRUSIVE FOULING INDICATOR FOR A BRAZED PLATE HEAT EXCHANGER SYSTEM

Heat exchangers, used in building heating, ventilation and air conditioning (HVAC) systems to transfer heat from hot to cold fluids, are designed to operate under ideal conditions. However, in practice operating conditions may vary with ambient temperature or humidity. HVAC system efficiency can be improved significantly if fluid flow rates are adjusted in response to such changes. Armstrong Fluid Technology is a Canadian firm that has developed control systems to adjust the flow through building heat exchangers to maximize their efficiency. This project is being undertaken to optimize a heat exchanger system. The feedback control system will reduce the energy required for operating an HVAC system by approximately 30% and have a significant impact on Canada’s energy usage and greenhouse gas emissions.

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Faculty Supervisor:

Sanjeev Chandra

Student:

Chen Feng

Partner:

Armstrong Fluid Technology

Discipline:

Engineering - mechanical

Sector:

Manufacturing

University:

University of Toronto

Program:

Accelerate

Exploring the Potential of Convalescent Plasma Therapy as an Intervention in the Pandemic Response

Convalescent plasma–used for over a century as the first treatment option in outbreaks caused by novel pathogens. The therapy involves transfusion of blood plasma from recovered donors, which contains antibodies, that can prevent or treat infection in recipients. Convalescent plasa therapy has been observed empirically or in small studies to confer passive immunity to susceptible or already infected recipients. Very little rigorous evidence has been available to confirm safety, effectiveness, appropriate target population and delivery strategies of this therapy for specific pathogens. During the current pandemic, COVID-19 Convalescent Plasma (CCP) has been investigated in numerous clinical trials. Our study will capture lessons learned about CCP delivery through the CONCOR-1 Canadian trial in British Columbia. We will explore immunological, clinical, regulatory, logistical and operational aspects of the process, employing qualitative methods for a comprehensive mapping of the CCP implementation process and mathematical modelling to study the equitable distribution of CCP. Our study will use the opportunity to capture and document the current experience to inform future pandemic planning.

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Faculty Supervisor:

Andrew Shih;Maya Gislason;Krisztina Vasarhelyi;Douglas Down;Na Lina Li;Alexander Rutherford

Student:

Maryam Akbari Moghaddam

Partner:

Canadian Blood Services

Discipline:

Computer science

Sector:

Health care and social assistance

University:

Program:

Accelerate

Development of sustainable technology based on natural clay mineral

Most Canadians live in the urban regions, and most Canadian cities receive snow every year. For instance, Montreal receives about 2.3 meter of snow every year. This snow accommodates various human-made pollutants in cities and accumulates over long Canadian winter. This application to support an intern which will be involved in a collaborative project with PO-labs within PRIMA Quebec aiming to build upon the new innovation at McGill using clay minerals. We intend to use these traps to remove pollutants in snow. This innovation contributes to reduce air pollution particulate matter, in atmosphere and atmospheric interfaces such as snow. In this project, we will use a clay-based sustainable technology developed in Montréal to remove pollutants, such as snow metal contaminants and organic compounds. Through combined field and laboratory studies we will use this developed technology for decontamination of snow in for a wide range of pollutants.

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Faculty Supervisor:

Parisa A Ariya

Student:

Hem Ghimire;Houjie Li

Partner:

PO-Laboratories

Discipline:

Chemistry

Sector:

Professional, scientific and technical services

University:

McGill University

Program:

Accelerate

Prevalence of moderate-to-severe Osteoarthritis pain of the hip and knee by Index Joints in Canadian Primary Care: A proof of concept study from the Canadian Primary Care Sentinel Surveillance Network

Osteoarthritis (OA) is a common disease in middle-aged and older Canadians attending primary care practitioners. As the Canadian population ages and with increasing obesity, OA will become an increasing burden for individuals and the health care system. Given the potential of Electronic Medical Record (EMR) data for surveillance of the population that is at high risk of or is diagnosed with OA, we will apply text mining method to investigate this problem further. In this project, we will develop an information extraction and processing pipeline to extract information about specific index joints to assess the prevalence and severity of OA related pain severity and mobility issues in the major joints of the leg (hip and knee).

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Faculty Supervisor:

Farhana Zulkernine;John Queenan;David Barber

Student:

Hasan Zafari;Austin Edward Carthy;Yuhao Chen;Mojtaba Moattari

Partner:

Pfizer Canada Inc.

Discipline:

Computer science

Sector:

Manufacturing

University:

Queen's University

Program:

Accelerate

Wire arc additive manufacturing and post-fabrication heat treatment of PH 13-8Mo martensitic stainless steel

The proposed Mitacs E-Accelerate project aims to develop the application of 3D-printing technique, and facilitate the transformation from conventional fabrication methods to newly developed additive manufacturing technologies for Canadian industrial sectors. One of the main barriers that prevents the wide-spread utilization of 3D-printing technique is the uncertainties in the resultant performance of the as-printed parts. Therefore, this project will focus on the better understanding of the resultant microstructural features and mechanical properties of the 3D-printed metallic components. To further evaluate the performance and efficiency of the implemented 3D-printing technique, the characteristics of the 3D-printed component will be compared with conventionally fabricated counter parts. Furthermore, to modify the microstructure and improve the mechanical integrity and ultimately the service life of the fabricated parts, optimum heat treatment cycles will be developed and applied to the as-printed components.

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Faculty Supervisor:

Ali Nasiri

Student:

Alireza Vahedi Nemani;Mahya Ghaffari

Partner:

12653681 Canada Inc.

Discipline:

Engineering - mechanical

Sector:

Professional, scientific and technical services

University:

Dalhousie University

Program:

Development of an Interoperable Microgrid Control Unit

The proposed project involves the development of a microgrid energy management system (or microgrid control unit – MCU) to synchronize the actions of devices such as batteries, solar panels, and other generators to achieve increased energy savings. The MCU will allow all devices to interact and exchange information seamlessly, in a “plug and play” fashion. As part of the project, a control strategy will also be developed that will maximize energy savings and financial incentives by defining an optimal schedule for the microgrid devices The partner organization, TROES Corp, is an Ontario-based battery manufacturer and is exploring new markets and services to deploy their batteries. TROES will benefit from this project because it will allow them to provide an automated, turn-key solution to a variety of microgrids that are interesting in harnessing the ability of microgrids to provide an increase in energy savings and resiliency. This will result in new revenue streams and an opportunity to grow their business. The interns will benefit from the technical, managerial, and business administration experience that the TROES staff has to offer, and will learn critical technical and project management skills that will help secure leadership positions in their academic and/or industrial careers.

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Faculty Supervisor:

Hany Farag

Student:

Abdulrahman Abomazid;Shivam Saxena

Partner:

TROES

Discipline:

Engineering - computer / electrical

Sector:

Professional, scientific and technical services

University:

York University

Program:

Accelerate

Implementation Framework for AAL Technologies to Support the Continuum of Care in Smart Communities

The Canadian healthcare system is not yet prepared to access and leverage IoT (Internet of Things) data to support clinical decision making outside of hospital settings (Nguyen et al., 2017). With advances in low-cost IoT technology, it is now possible to meaningfully incorporate a variety of sensors into our homes and communities, leading to the implementation of Smart Homes (Risteska Stojkoska & Trivodaliev, 2017) and Smart Communities to support healthy living (Bencardino & Greco, 2014; De Filippi et al., 2019). Through this project, our research team will propose and develop new guidelines and checklists, and identify the need for new standards to support current and future smart communities seeking to implement AAL technologies at the individual household, as well as at the community level. This partnership between the UbiLab and CSA Group will provide a framework to guide: (1) new AAL technology manufacturers, (2) developers of new smart communities seeking to ensure that the new developments are compatible and prepared to receive AAL and IoT sensors, (3) communities seeking to leverage data generated by AAL and IoT sensors into fully integrated community health services (e.g., pharmacies, allied health professionals, community clinics, etc.)

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Faculty Supervisor:

Plinio Pelegrini Morita

Student:

Kiemute Oyibo;Arlene Oetomo;Shahan Salim

Partner:

CSA Group

Discipline:

Epidemiology / Public health and policy

Sector:

Professional, scientific and technical services

University:

University of Waterloo

Program:

Accelerate

Reliability Analysis of Gallium Nitride (GaN) Devices Using Data Analysis Methods

Gallium nitride (GaN) high-electron-mobility transistors (HEMTs) are good candidates to replace the traditional silicon-based transistors. Although these devices show superior performances compared to Si and SiC-based devices, they suffer from some reliability issues. The aim of this research project is to improve the performance of the GaN HEMTs and enhance their reliability by performing a data analysis technique. This analysis would result in better understanding of GaN HEMTs’ characteristics. Pattern recognition is one of the powerful data analysis techniques which can be helpful in diagnosing different patterns in the given dataset. The use of this technique will result in finding any direct and indirect correlations between different parameters of GaN HEMTs and their reliability. The outcomes of this analysis can help produce reliable GaN HEMTs devices, and would also benefit GaN Systems Inc. in improving the reliability of their products.

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Faculty Supervisor:

Majid Pahlevani

Student:

Sajjad Goudarzitaemeh

Partner:

GaN Systems Inc.

Discipline:

Engineering - computer / electrical

Sector:

Manufacturing

University:

Queen's University

Program:

Accelerate

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