Innovative Projects Realized

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

29670 Completed Projects

2811
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4990
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801
MB
663
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825
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8841
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9197
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95
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568
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1088
NS

Projects by Category

Interrogation of Passive Wireless RF Cavity Sensors

Wireless sensors have attributes such as distributed sensing and wireless connections that make them attractive for civil infrastructure monitoring. A wired physical connection dramatically increases the cost of monitoring systems. For example, the St. Anthony Falls bridge in Minneapolis was reported to cost $3000 per sensor. Wireless sensors are an attractive solution to this problem. Passive wireless sensors are an emerging alternative, where the sensor is a passive device and hence there is no requirement for local power. In this project the intern will explore wireless passive sensors for monitoring rails. The HQP in this proposal will participate in solving challenging problems related to improving the accuracy of the sensor interrogation system.

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Faculty Supervisor:

Douglas Thomson

Student:

Partner:

Iders

Discipline:

Engineering

Sector:

Manufacturing

University:

University of Manitoba

Program:

Accelerate

Curating Anti-Colonialism: Re-imagining the Institution through a Decolonial Lens

Understanding that art galleries must position themselves as open learning communities, the MacKenzie Art Gallery (MAG) proposes internships in Indigenous and new curatorial practices. Canadian cultural institutions have long considered themselves above the political. However, the Truth and Reconciliation Commission’s (TRC) Calls to Action have posed challenges to art institutions and their leaders are now confronted with an urgent question: How do galleries shift to align with the more diverse populations they now serve?
Through this application, the MAG is taking steps to address the decolonizing of art in its institutional structure. How cultures are represented in art, media, entertainment, must be foremost in our minds as we strive to achieve a more equitable, diverse and inclusive society. This project will provide best practice in how to decolonize institutions through curatorial practices that educate us to better understand and practice fair and accurate representation, share knowledge and, eventually, frame just economies.

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Faculty Supervisor:

Sherry Farrell-Racette

Student:

Partner:

MacKenzie Art Gallery

Discipline:

Sociology

Sector:

Arts, entertainment and recreation

University:

University of Regina

Program:

Accelerate

Predicting the Behavior of Loyalty Programs Customers Using Interpretable Patterns Based on Logical Analysis of Data

Aeroplan Inc. (“Aeroplan”) , aims to redesign and optimize its loyalty program Aeroplan via a collaboration with Polytechnique Montréal. Customers affiliated with Aeroplan’s program earn miles through their purchases and can exchange these miles for various gifts. It is essential for Aeroplan to predict customers behavior, to define the causes of certain behaviors and to predict the consequences of applying different policies, e.g. offers or gifts value. In this project, we propose to exploit the historical customers database of Aeroplan to predict customer behavior using Logical Analysis of Data (LAD) as an interpretable machine learning technique. We intend to use the LAD generated patterns to design customized marketing plans. This approach should allow the marketing department at Aeroplan to identify the future behavior of customers along with its cause and to target customers with suitable personalized marketing policies. This should help Aeroplan to avoid problems such as churn or drop in usage rate. The prediction accuracy of our model will be compared to traditional machine learning techniques that are known to perform well in predicting customers behaviors. The proposed marketing policies will be tested on a sample of Aeroplan’s customers using an A/B testing approach.

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Faculty Supervisor:

Antoine Saucier

Student:

Partner:

Aeroplan

Discipline:

Mathematics

Sector:

Administrative and support, waste management and remediation services

University:

Polytechnique Montréal

Program:

Accelerate

Simulation of consolidation-driven defects in woven fabric pre-pregs

Woven fabric-reinforced polymers (WFRP) are composite materials consisting of interwoven fibers dispersed in a continuous polymeric matrix phase. Lightweight and yet very strong mechanical characteristics of WFRPs are, however, often disadvantaged by poor quality due to manufacturing defects. The proposed project aims to exploit the simulation tools developed at University of Bristol to simulate the consolidation-driven defects in fabric prepregs (pre-impregnated with resin). This objective is planned to be fulfilled by conducting a series of step-wise advanced numerical simulations as well as experimental studies, namely, the friction model developed at UBC will be combined with the Bristol consolidation model to simulate the generation of defects in the consolidation process. The manufacture modeling framework resulting from this research will provide a straightforward wrinkling control/design tool to improve product quality of fabric-reinforced composites. TO BE CONT’D

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Faculty Supervisor:

Abbas Milani

Student:

Partner:

University of Bristol

Discipline:

Engineering

Sector:

Advanced Manufacturing; Aerospace; Automotive

University:

The University of British Columbia - Okanagan

Program:

Globalink Research Award

Uncertainty Quantification for Deep Neural Networks

Deep neural networks are effective at image classification and other types of predictive tasks, achieving higher accuracy than conventional machine learning methods. However, unlike these other methods, the predictions are less interpretable. While accuracy may be enough for applications where errors are not costly, for real world applications, we want to also know when the predictions are more likely to be correct. Estimating the likelihood that a prediction is correct is called confidence, or uncertainty. In order to deploy these methods in a public sphere, we need to better understand why they make the predictions. This project will focus on one aspect of understanding: developing methods to estimate the uncertainty associated with a given prediction. This research will allow us to be more confident when using the predictions of the models.

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Faculty Supervisor:

Adam Oberman

Student:

Partner:

Mouvement des caisses Desjardins

Discipline:

Mathematics

Sector:

Finance and Insurance; Technology

University:

McGill University

Program:

Accelerate

The Canadian Association for Graduate Studies Task Force on Truth and Reconciliation Calls to Action and Graduate Education

The Canadian Association for Graduate Studies (CAGS) has created aTask Force on Truth and Reconciliation Calls to Action and Graduate Education (Reconciliation Task Force). This Reconciliation Task Force will examine the implications for graduate education in relation to the Truth and Reconciliation Commission of Canada’s (TRC) Calls to Action, to reflect on the role of graduate education in promoting reconciliation between non-Indigenous and Indigenous peoples in Canada, and to conduct a systematic review of reconciliation graduate educational practices from across the country. This work will enable graduate schools across Canada to make better decisions around the provision of supports and programming of reconciliation graduate educational practices. The Mitacs intern will have a major role in accomplishing this work.

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Faculty Supervisor:

Warren Cariou

Student:

Partner:

Canadian Association of Graduate Studies

Discipline:

Sociology

Sector:

Education; Other services (except public administration)

University:

University of Manitoba

Program:

Accelerate

Shiga-toxigenic E. coli persistence mechanisms and surface biofilm detection using near-infrared spectroscopy on beef processing facilities

Contamination of beef by Shiga toxigenic Escherichia coli (STEC) is a major problem affecting the North American Beef Industry. Environmental cross-contamination, among other contamination sources, has been shown to play an essential role in meat adulteration. Therefore, this proposal is aiming: a) to determine the capacity of the top-seven STEC to survive and transfer from single and multispecies biofilms onto fresh beef surfaces; b) to test the effectiveness of chemical sanitizers to eliminate wet and dry biofilms (single/multispecies); and c) to test the ability of near-infrared spectroscopy (NIRS) to detect biofilms. Multispecies biofilms composed of STEC and bacteria commonly found in meat packing plants will be tested in-vitro, as well as on stainless steel and polyurethane. TO BE CONT’D

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Faculty Supervisor:

Claudia Narvaez Bravo;Tim McAllister

Student:

Partner:

Canadian Cattle Association

Discipline:

Life Sciences

Sector:

Agriculture

University:

University of Manitoba

Program:

Accelerate

Treated Drill Mud Residue Commercialization Research

As part of Envirosoil’s re-usable energy division in Nova Scotia and Newfoundland, drilling fluid waste product will be re-purposed as a potentially viable fuel supplement and additive in other industrial processes. The proposed research would look into viable options for reusing this material in a way that is commercially beneficial to the current operations, while also diverting the waste from landfills. The general objective of the proposed research is to better characterize the nature of the waste and how it can be safely pushed into the commercial market. This will be done through market research combined with a scientific laboratory-scale testing process for the treated waste product.

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Faculty Supervisor:

Jacob Hanley

Student:

Partner:

Dillon Consulting Ltd (Halifax, NS)

Discipline:

Physics

Sector:

Professional, scientific and technical services

University:

Saint Mary's University

Program:

Accelerate

The role of certifications and traceability in supporting the Inuit seal harvest to deliver Inuit rights to food, culture, and economic opportunities

Inuit have the right to food, culture, and economic opportunities, and the seal harvest can help to support these rights. However, resultant international bans from anti-sealing campaigns have undermined the Inuit economy and imposed hardships on Inuit communities. In an effort to improve market access for Inuit seal products, the Canadian Government established the Certification and Market Access Program for Seals (CMAPS), which is creating certification and tracking systems for Inuit seal products in EU markets. CMAPS will improve existing tracking systems for Inuit seal products and explore the role of certifications, namely the Marine Stewardship Council (MSC) and Fair Trade, in improving market access for Inuit seal products and subsequently supporting Inuit rights to food, culture, and economic opportunities. This research project will collaborate with Nexus Coastal Resource Management to better inform CMAPS and the Government of Nunavut on best measures for creating certification and tracking systems for Inuit seal products in EU markets.

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Faculty Supervisor:

Megan Bailey

Student:

Partner:

NEXUS Coastal Resource Management Ltd.

Discipline:

Sociology

Sector:

Aboriginal Affairs; Environmental Science and Technology; Sustainability & the Environment

University:

Dalhousie University

Program:

Accelerate

Calibration and modeling for an individual tree LiDAR forest resource inventory in boreal Ontario

Ontario has recently acquired a new forest inventory, based on aerial photos, and for the first time, a technology called single photon Light Detection and Ranging (LiDAR). This technology allows users to not only see the forest, but precisely calculate tree heights, drainage, and other things by collecting dozens of measurements per m2. A first step to utilizing this technology is being able to identify and map individual tree crowns. This research will focus on identifying individual tree crowns as a first step to developing highly accurate, affordable forest inventory. It is now possible to map forest resources more accurately than ever before, but questions about how to calibrate the data to ensure accuracy and how much we can detect remain. Forest vertical structure is one area that LiDAR may be able to quantify and classify. TO BE CONT’D

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Faculty Supervisor:

Ulf Runesson

Student:

Partner:

Resolute Forest Products

Discipline:

Earth science

Sector:

Agriculture

University:

Lakehead University

Program:

Accelerate

An Evaluation of the energy system in an off-grid northern community: A case study at Brochet Manitoba, Canada.

Barren Lands First Nation is a remote community located in Northern Manitoba, approximately 250 km North West of Thompson, Manitoba at latitude of 57 degrees. It is an off-grid community i.e. it is not connected to the provincial electricity supply grid. The community relies on ice roads built over winter to haul in supplies and fuel for their energy needs. The high transportation cost significantly increases the cost of energy brought in to the community. Due to the changing climate, the winter roads are less reliable and getting shorter. The failure of road infrastructure in a given season would be catastrophic to the whole community. This project aims to develop an energy model for the community based on the current extent of energy usage. The exact determination of current quantity of energy supply and type of energy supply (wood, gasoline, diesel, electricity) and consumption rate (monthly or annual usage) …………………….TBC

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Faculty Supervisor:

Shirley Thompson

Student:

Partner:

Winds and Voices Environmental Services Inc

Discipline:

Earth science

Sector:

Professional, scientific and technical services

University:

University of Manitoba

Program:

Accelerate

Innovative Business Strategies: Business development and marketing of drone technology in international development contexts and specialized professional development programs in domestic postsecondary environments

The internship will focus on two case studies in the area of business and marketing research, aiming to integrate academic level rigour with practical relevance. First, the intern will consider how drone-based research tools can be managed and marketed in an international development context that engages local networks of drone users whilst maintaining technological standards and respecting local regulatory frameworks. Second, drawing on the case of the Certified Professional Impact Analysis Program at Queen’s, the intern will assess the applicability of available research on the optimal marketing and course delivery models to the program, drawing conclusions about research applicability and defining questions for future investigation.

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Faculty Supervisor:

Gregory Libitz

Student:

Partner:

Limestone Analytics Inc

Discipline:

Business

Sector:

Professional, scientific and technical services

University:

St. Lawrence College

Program:

Accelerate