Innovative Projects Realized

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

31915 Completed Projects

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

Projects by Category

La participation des dirigeants au capital-actions a-t-elle une influence sur la performance de I’entreprise et sur son prix en bourse?

Le projet de recherche qui se tiendra chez Montrusco Bolton Investments tentera de faire la lumiere sur l’influence que les achats et ventes d’actions poses par la direction ont sur Ie prix en bourse de leurs entreprises. Cela tout particulierement au niveau des transactions d’inities, c’est-a-dire lorsqu’une personne a l’interieur de l’entreprise achete ou vend des portions de cette meme entreprise sur la bourse. Plusieurs etudes anterieures ont ete effectuees dans d’autres pays et sur d’autres variables. Par contre, cette recherche s’ avere unique et propose de regarder de nouvelles variables et de se baser sur un marche particulier, soit celui du Canada. En utilisant de nouvelles variables et un marche unique, on s’attend a de surprenantes conclusions qui valent largement la peine d’etre etudiees. Le sujet est d’ailleurs tres en vogue dans Ie domaine de la finance.

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Faculty Supervisor:

Alix Mandron

Student:

Partner:

Placements Montrusco Bolton inc

Discipline:

Business

Sector:

Finance and Insurance

University:

HEC Montréal

Program:

Accelerate

Estimation the cost of metal manufacturing

Cost estimation is a critical part of manufacturing. It has a significant role in determining the feasibility of decisions including design stage, planning and production methods. Especially, it is useful for subcontracting processes that GRAD4 conducts where the features of parts are submitted and bidding is the way of the deal between suppliers and buyers. We will investigate the historical cost and material data of parts and develop estimation methods utilizing statistical analysis and machine learning. The data includes features of the parts such as the operations needed, the geometry as well as the materials. The data particularly include three separate cost items: bending cost, laser cost, and material cost. The material cost has a deterministic feature that can be computed without variation. However, bending and laser costs has more complex nature which can be captured by pattern recognition applications. The final estimations would be in confidence interval form to enable the measurement of uncertainty and risk assessment.

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Faculty Supervisor:

Mehmet Gumus

Student:

Partner:

GRAD4 Inc;Axya Inc.

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

McGill University

Program:

Accelerate

Effect of exposure to hydrocarbons on reproductive functions in select marine organisms

The partner organization, Oceans Ltd, offers diagnostic services to detect and monitor the effects of environmental contaminants on marine ecosystems, mainly using fish as biomonitoring tools. The company wishes to seize an opportunity for capacity building and diversification by exploring new bioindicator technologies based on the effects of hydrocarbons on the reproduction of marine invertebrates. The Mercier Laboratory will provide key expertise on the general biology and reproduction of marine invertebrates, which will be instrumental in exploring this avenue. The intern will use this knowledge to assist Oceans Ltd develop indicators of oil exposure that relate to reproductive functions in selected cold-water species. Specifically, the intern will be involved in carrying out the hydrocarbon exposures and subsequent biomarker analyses as part of his graduate (MSc) studies.

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Faculty Supervisor:

Annie Mercier

Student:

Partner:

Oceans Ltd;Petroleum Research Newfoundland & Labrador

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

Memorial University of Newfoundland

Program:

Accelerate

Modelling Increased Recognition in Unwitnessed Cardiac Arrest Using Wearable Sensors

In more than 75% of all Sudden Cardiac Arrests, no one is there to witness the event and call 9-1-1, and resultant survival is near 0%. Sudden Cardiac Arrest death is a significant and unrecognized epidemic in Canada, affecting over 20,000 people annually. We hypothesize that modelling the implementation of wearable sensors in the population will provide evidence that key clinical and system metrics in the out-of-hospital cardiac arrest resuscitation system in British Columbia can be improved, and that such improvements will be worthwhile. We anticipate our models will forecast a significant increase in rates of survival to hospital discharge and survival with favourable neurological outcomes and will provide a framework for technology innovators and clinicians to develop clinical trials evaluating wearable sensors for impact on cardiac arrest outcomes. This project is strategically aligned with the goals of our partner organization, CHÉOS, which contributes to training the next generation of researchers and working cooperatively with other health research organizations, including those at the University of British Columbia and beyond, to develop and carry out research strategies that impact the health and wellbeing of Canadians.

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Faculty Supervisor:

Brian Grunau;Joseph Puyat

Student:

Partner:

Providence Health Care

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology; Professional, scientific and technical services

University:

The University of British Columbia

Program:

Accelerate

Community Impact from Rural Sourcing

This study builds upon work to define the decision process firms use in deciding to move their IT Services work to less urban regions such as Atlantic Canada. This Mitacs project seeks to build upon this work and analyze the ancillary benefits of such projects within the community (beyond the direct economic benefits). Policy objectives from regional stakeholders as well as the effects of immigration will be studied. This work will help outsourcing organizations understand and articulate their full value to the community.

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Faculty Supervisor:

Mike Smit;Benoit Aubert

Student:

Partner:

CGI Information Systems and Management Consultants Inc.

Discipline:

Computer science

Sector:

Information and cultural industries

University:

Dalhousie University

Program:

Accelerate

Upper limb exoskeleton performance during fatiguing overhead work tasks

Overhead work is the leading cause of shoulder fatigue and presents a large financial burden to employees and employers alike due to workplace injuries. Interventions must be implemented to reduce the onset of shoulder fatigue and injury. Two interventions are currently being used, overhead cycle time and passive upper-limb exoskeletons. However, little research has been conducted regarding their effects on fatigue. Overhead cycle time is a ratio of time spent working overhead to time spent working below head. Cycle times limit how long workers can work overhead throughout their work shift. Exoskeletons are wearable devices that support the body’s structure. Passive versions use a support arm with springs to support the arms when working overhead, which lowers the force required by the worker to hold their arms overhead. We plan to investigate the effects of three models of exoskeleton and two overhead cycle times on shoulder fatigue during overhead work.

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Faculty Supervisor:

Nicholas La Delfa

Student:

Partner:

Cort Research and Innovation Inc.

Discipline:

Engineering

Sector:

Manufacturing; Professional, scientific and technical services

University:

University of Ontario Institute of Technology

Program:

Accelerate

Determination of phenolic content and bioactivity in the Winecrush puree developed from a grape pomace

The evidence provided by epidemiological and clinical studies is persuasive of protective effects of fruit and vegetable intake in chronic disease. The edible parts of many fruits and vegetables are a rich source of dietary compounds that impact human cell functioning. Those bioactive compounds are often lost during food production and processing. For example, skin and seeds of grapes that are the most abundant in bioactive compounds, are discarded of during wine production. Winecrush, an Okanagan company, collects those leftovers (so called a grape pomace) and creates a puree to enhance food. In the proposed project, we will study the amount and type of bioactive compounds in the puree, their activity and availability under various production conditions. Providing a deeper understanding of the composition and bioactive properties of the Winecrush puree will strengthen puree applications in food and nutraceutical formulations and open the door to novel approaches in utilizing the puree. Apart from health and food enhancing benefits, transforming wine derivatives into a bioactive product makes a positive impact on methane emissions and land resources by upcycling winery leftovers.

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Faculty Supervisor:

Barbara Stefanska

Student:

Partner:

Winecrush

Discipline:

Life Sciences

Sector:

Agriculture

University:

The University of British Columbia

Program:

Accelerate

Evolutionary Housing Strategies for Canadian Cities

This project examines the feasibility of low-cost evolutionary housing strategies to accommodate changing uses in Canada. It is a partnership between the University of Waterloo school of Architecture and architect John van Nostrand who has developed numerous prototypes for evolutionary housing in Canada and internationally. The research will begin with an analysis of existing prototypes in order to develop best practices. It will then test the feasibility of two types of evolutionary housing on sites in Toronto: the first, from the ground up, which starts low rise and builds up, the second, above ground, which starts with an existing building or structural frame and builds within. Both types will be tested through both a financial proforma and a life-cycle analysis to determine their environmental performance.

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Faculty Supervisor:

Adrian Blackwell

Student:

Partner:

SvN Architects + Planners

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Waterloo

Program:

Accelerate

AI-driven detection of anomalous supplier profiles at web scale

Information gathered from internet sources has high variance and different types of noise. This causes out-of-distribution problems with downstream ML modules such as category classification and keyword extraction. The extremely large size of internet-scale datasets requires a solution that is efficient and scalable. The objective of this project is to develop a start-of-the-art anomaly detection system. The system must have low false positive rate,

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Faculty Supervisor:

Mark Chignell

Student:

Partner:

Tealbook

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Personalized relevance content recommendation

PC Optimum was originally built as a rewards platform. As we are moving in the path to engage more meaningfully with our customers by way of personalized & interactive experiences (content), we are building a targeting engine as a solution to surface personalized content tailored for each individual customer. The problem we are solving then becomes, given our best knowledge of the user, what is the most relevant content we can push to the user’s inspirational feed? In the project, we tackle the problem by improving product embedding and CTR prediction models.

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Faculty Supervisor:

Scott Sanner

Student:

Partner:

Loblaws Digital

Discipline:

Computer science

Sector:

Retail trade

University:

University of Toronto

Program:

Accelerate

Valorisation des données au service de la gestion énergétique des bâtiments

Le nouveau contexte dans lequel e?voluent les ba?timents du 21e?me sie?cle impose clairement le de?veloppement de nouvelles technologies de l’information et de la communication a? la fine pointe afin de constituer des outils d’aide a? la de?cision pour la gestion efficace d’e?nergie dans les ba?timents. L’intelligence artificielle (IA) joue un rôle important facilitant le traitement des données massives, l’apprentissage des habitudes des usagers et l’adaptation automatique des consignes des équipements. Cela améliore les performances énergétiques tout en réduisant la facture d’électricité sans compromis de confort des occupants. Ce projet vise à soutenir le travail des gestionnaires des bâtiments chez FusionEnergie en développant des modèles de prédiction de la consommation énergétiques court-terme et très-court terme dans plusieurs types de bâtiments.

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Faculty Supervisor:

Hanane Dagdougui

Student:

Partner:

Fusion Énergie

Discipline:

Mathematics

Sector:

Information and Communications Technology; Energy and Utilities

University:

Polytechnique Montréal

Program:

Accelerate

Next generation membrane electrode assemblies for high power density fuel-cells for heavy duty zero emission vehicles

The proposed project involves pre-commercial research and development for a BC-based Zero Emission Vehicle (ZEV) product, including: i) development and characterization of novel materials – transport layers in the (MEA) of high-power density PEM fuel cells; and ii) establishment of standardized material testing protocols/procedures to be injected into Ballard’s next-generation products, targeted at the heavy-duty commercial truck ZEV industry.
The project will support growth in BC’s ZEV sector through improved BC based product offerings; address specific ZEV challenges, through reducing FC cost and increasing power density; showcase BC expertise and technology leadership; train the next-generation of highly qualified personnel; and support pre-commercial R&D for a BC based product.

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Faculty Supervisor:

Majid Bahrami

Student:

Partner:

Ballard Power Systems Inc

Discipline:

Engineering

Sector:

Manufacturing; Professional, scientific and technical services

University:

Simon Fraser University

Program:

Accelerate