Innovative Projects Realized

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

30508 Completed Projects

2882
AB
5105
BC
825
MB
681
NL
860
SK
9051
ON
9491
QC
97
PE
586
NB
1141
NS

Projects by Category

Stable Manipulation with Offline Model-based Reinforcement Learning

In this project, we would like to study the problem of object manipulation in a real-world scenario. We assume three major settings in the environment – the object is non-rigid, oniy offline dataset is available and the input is high-dimensional images which are hard to be handled by classical control models. Recent successes in deep learning and reinforcement learning have provided a promising approach to handle this problem. We would like to explore the possibility of using them to train an agent that can manipulate non-rigid objects stably under this scenario which is confronted by Kindred in day-to-day operations.

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Faculty Supervisor:

Animesh Garg

Student:

Partner:

Kindred AI

Discipline:

Computer science

Sector:

Other; Technology; Information and Communications Technology

University:

University of Toronto

Program:

Accelerate

Design and stress relaxation experimental characterization of thermal shims for space applications

MDA Montreal possesses a niche expertise on a wide variety of high-performance satellite telecommunication antennas. These antennas are exposed to extremely harsh environments. Some panels require a rigid mechanical assembly (i.e., nut and bolt fastening) but must preserve their thermal isolation for the proper operation of the antennas and to limit heat exchange towards the spacecraft. Relatively thick thermal shims or washers are currently inserted into these assemblies to almost completely block the heat flow between the two structures. The main problem is due to the viscoelastic behaviour of the current shim material used. Under a compressive initial load, the shims exhibit an important stress relaxation (i.e., softening of the material with respect to time) and the initial pre-load in the fastened assembly is significantly reduced over time.

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Faculty Supervisor:

Daniel Therriault

Student:

Partner:

MacDonald, Dettwiler, and Associates Ltd (Sainte-Anne-de-Bellevue, QC)

Discipline:

Engineering

Sector:

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

University:

École Polytechnique de Montréal

Program:

Accelerate

Bone Quality and Nutrition Status of Elite Endurance Athletes

Relative Energy Deficiency in Sport (RED-S) is a devastating condition that affects an athlete’s short and long-term health and performance. The objective of this study is to investigate the relationships between bone density, microarchitecture, and strength with RED-S risk factors including inadequate nutrition, amenorrhea and stress fractures in elite endurance athletes. Athletes will be recruited from the Canadian Sport Institute Calgary from a variety of endurance sports, and their bone quality will be assessed at the Bone Imaging Laboratory, University of Calgary. The Canadian Sport Institute will benefit from participating in this research project as they will receive advanced skeletal imaging on their athletes. By combining detailed bone health assessments with nutrition, health and injury information, athlete integrated support teams may be better able to identify and monitor athletes at risk of RED-S.

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Faculty Supervisor:

Steven Boyd;Lauren Burt

Student:

Partner:

Canadian Sport Institute Alberta

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology

University:

University of Calgary

Program:

Accelerate

Twin-entry turbine modelling for high efficiency engines

A turbine is placed in an engine system to make use of energy contained in exhaust gases. It receives hot gases that are left over from the combustion process and converts them into useful shaft power that increases overall efficiency. The flow from each cylinder is highly dynamic since it is created by the exhaust valve opening and closing. An engine with more than four cylinders must separate the flows in order to prevent interaction that can lose some of the available energy. A twin-entry turbine is designed with two inlets and a divider to keep these flows separate until they reach the impeller. This research project will aim to simulate a twin-entry turbine by creating a new model that can predict its performance when exposed to realistic pulsating flow. This model needs to be fast-running in order to successfully integrate it into a larger engine system simulation.

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Faculty Supervisor:

Colin Copeland

Student:

Partner:

Cummins Canada

Discipline:

Engineering

Sector:

Manufacturing

University:

Simon Fraser University

Program:

Accelerate

The effect of bioceramic textiles on skin temperature

The following application is to support a collaboration between the University of Alberta and Mark’s Work Wearhouse (MWW) – a Canadian clothing and footwear retailer. We aim is to evaluate the effects of bioceramic textiles on skin temperature. The research for the proposed project will be conducted in Dr Steinback’s laboratory at the University of Alberta (Edmonton, AB). There, post-doctoral fellow, Dr Michael Tymko, will be responsible for measuring skin temperature (chest and forearm), heart rate, respiration, and sweat rate in young and healthy participants (n=20). Each participant will be required to wear separate bioceramic textiles constructed by MWW. The results from the proposed experiment will improve our fundamental understanding on how bioceramic textiles impact body temperature regulation. This research collaboration will directly benefit MWW by evaluating the thermal impact of their bioceramic clothing in health humans.

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Faculty Supervisor:

Craig Steinback

Student:

Partner:

Mark's

Discipline:

Life Sciences

Sector:

Retail trade

University:

University of Alberta

Program:

Accelerate

Large Scale Graph Representation Learning

One assumption that is commonly used in machine learning is that samples are statistically independent. In effect, each sample of data doesn’t tell you anything about any other sample in the dataset. This is not true for all types of data; there are some types of datasets where relationships between samples can be modeled as a graph. One example is the yelp dataset, where users and businesses can be represented by nodes, and user reviews can be represented by edges. Graph neural networks(GNNs) are a type of machine learning architecture that take advantage of the extra information given by graphs. However, they are much slower than traditional neural networks and they are currently designed for static, unchanging graphs. The objective of this research is to address both issues: to develop methods to increase the training speed of GNNs on large graphs and to adapt the architecture for time-varying information. Improvements the GNN methods will also yield improvements to downstream tasks such as recommending you a new restaurant based on your previous reviews.

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Faculty Supervisor:

Sushant Sachdeva

Student:

Partner:

Microsoft Canada

Discipline:

Computer science

Sector:

Information and cultural industries

University:

University of Toronto

Program:

Accelerate

Speech enhancement and recognition with generative adversarial network

While taking foreign language tests, people may record responses with different background noises. The contaminated audios can lead to unusual results in speech recognition and scoring by the scoring systems. Pearson would like to develop a more robust system for the automated speech recognition machine to work with clean and noisy records. Audio files are typically from 5 to 90 seconds long. There are popular softwares which are built to address these problems, but their results need to be tested with the particular kinds of inputs that is obtained as test responses. These may have varies types of noise, distortions and various other complicating factors. Improving these systems would greatly benefit Pearson’s competitiveness in the market and would also contribute towards expanding the boundaries of knowledge in speech enhancement.

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Faculty Supervisor:

Gerald Penn

Student:

Partner:

Pearson Inc

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Understanding Public Perceptions about Roles and Responsibilities for Community Recycling

The proposed research aims to provide a comprehensive explanation of the residents’ perceptions of roles and responsibilities of their local municipalities involved in community recycling in North America. It also will investigate the effect of the modern digital communication solution to the residents’ recycling engagement and education of proper household waste sorting, and examine whether likely residents would accept alternate funding arrangements for digital communication and education technology. An electronic questionnaire-based survey with residents in North America will be conducted to acquire and analyze required data to achieve the objectives. The research findings will enable the partner organization to understand the residents’ perception of the roles and responsibilities of community recycling. They will help the partner organization develop new markets and business models across North America. Also, the partner organization will obtain in-depth feedback from its users regarding its web and mobile applications to improve the product and service quality.

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Faculty Supervisor:

Jonghun Jay Park

Student:

Partner:

Recycle Coach

Discipline:

Sociology

Sector:

Administrative and support, waste management and remediation services

University:

Toronto Metropolitan University

Program:

Accelerate

Conserving Wildlife through Computer Vision and Aerostats

Elephant and rhino population in southern African countries has been drastically decreasing due to poaching. This project aims to use tethered aerostats (blimps) equipped with robust cameras for constant detection and monitoring of these animals to protect them from external threats. The chosen location for implementation in Nyika National Park in northern Zambia, mainly due to favorable weather conditions anywhere in the world at this location to suspend aerostats all year round. In addition, this project also aims to apply the same technology in St. Lewis, Laborador, where polar bears encroaching into human habitats has remained an issue. This technology will detect polar bears in the vicinity and transfer this information automatically to the relevant authorities and safeguard the human/animal population.

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Faculty Supervisor:

Jonathan Kelly

Student:

Partner:

Solar Ship Inc

Discipline:

Engineering

Sector:

Manufacturing; Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Mapping & Modelling the dead zones of the Bras d’Or Lake estuary in the context of Aquaculture development

The people of Canada are transitioning from hunting and gathering in the ocean to cultivating and nurturing the ocean. This research and the outcomes of the academic–industry partnerships it engenders will contribute significantly to the economic, ecological and social sustainability of that transition. There is a particular concern on the part of the growing Aquaculture industry, their clients and the people of Canada that aquaculture be developed in a manner the is both economically and ecologically sustainable. This project will provide science-based knowledge, enhanced technology and predictive models that address one of the most complex and daunting challenges to these anticipated outcomes of aquaculture development during a period of accelerating climate change: the causes and effects of reduced oxygen concentrations in natural water bodies where aquaculture activities are undertaken. The team of academic and industry partners includes oceanographers from eastern Canada’s leading universities, the nation’s largest food and agriculture science corporation, and a Mi’kmaq First Nation that operates the only finfish aquaculture business in the Bras d’Or Lake UNESCO Biosphere Reserve.

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Faculty Supervisor:

Bruce Hatcher;Jinyu Sheng;Douglas Wallace

Student:

Partner:

Perennia Food and Agriculture Inc;Waycobah Fisheries Ltd;Pro-Oceanus Systems Inc

Discipline:

Physics

Sector:

Agriculture; Information and cultural industries

University:

Cape Breton University

Program:

Accelerate

Prédire et diagnostiquer la performance des boulettes de minerai de fer dans les procédés industriels de réduction directe

La performance des boulettes de minerai de fer dans les procédés industriels de réduction directe est normalement évaluée par des tests de laboratoire normalisés ou simplifiés. Toutefois, les performances réelles ne sont pas nécessairement liées aux résultats obtenus puisqu’ils ne simulent pas les conditions industrielles. Des tests de réduction plus avancés ont toutefois été développés afin de simuler plus adéquatement les conditions réelles d’opération des modules de réduction directe. Néanmoins, ces tests de laboratoires ne simulent pas toutes les zones des modules industriels, ni tous les phénomènes réactionnels qui ont lieu pendant la réduction.
Le projet de recherche a donc pour but de développer une méthodologie permettant de simuler adéquatement, à l’échelle laboratoire, la progression de la réduction des boulettes et d’évaluer simultanément tous les paramètres d’intérêt (réductibilité, métallisation, résistance à la dégradation et à la déformation de même que carburation).

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Faculty Supervisor:

Josée Duchesne

Student:

Partner:

COREM

Discipline:

Earth science

Sector:

Mining

University:

Université Laval

Program:

Accelerate

Economic benefits of local purchasing

This research project will investigate local economic impacts resulting from municipal government procurement through locally-owned suppliers in comparison to procurement through national or multinational suppliers with local operations. The objective of the project is to determine a BC analysis to quanitify the economic impact of local purchasing decisions. Using the LM3 method, this research will involve the collection and analysis of records from a locally owned business (Mills Basics) and public documents from a national chain (Office Max) and multinational chains (Office Depot and Staples) in the same sector(Office Supplies). The specific measuring process will look at the: 1. source of income (total income into the office supply retailers) and will then look at how it is 2. circulated back into the local economy in the forms of wages and benefits, locally retained profit, local procurement of goods and services and local charitable.

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Faculty Supervisor:

James Tansey

Student:

Partner:

Columbia Institute;LOCO BC

Discipline:

Business

Sector:

Other

University:

The University of British Columbia

Program:

Accelerate

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