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

Canada’s electricity system decarbonization pathways: a multi-model and multi-jurisdiction approach

Meeting Canada’s commitment to the Paris Agreement will require a fundamental shift in our energy system: increased generation from renewable sources, electrification of the transport and building sectors, and planning harmonization across jurisdictional scales. A new United Nations climate science report estimates that the world will invest an average of $3 trillion dollars per year over the next three years to transform the energy system and limit temperature rise to 1.5 degrees Celsius above pre-industrial times (IPCC, 2018). In Canada, the federal Government plans to invest over $180 billion between 2016 and 2028 in infrastructure, much of which is intended to improve resilience and transition to a clean economy (Government of Canada, 2017). In this project, we will develop the first suite of comprehensive and credible pathways for achieving pan-Canadian Paris commitments. TO BE CONT’D

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Faculty Supervisor:

Madeleine McPherson

Student:

Partner:

David Suzuki Foundation (BC)

Discipline:

Engineering

Sector:

Other services (except public administration); Professional, scientific and technical services

University:

University of Victoria

Program:

Accelerate

New algal bioreactor design for clean food production with inland aquaculture

With increasing demand for fish and seafood products globally, inland aquaculture is becoming an important source of global food production. This is primarily because food can be produced in proximity to large and densely populated areas, cutting down on transportation costs and emissions. It also allows the use of a more diverse set of species as the risk of local species introductions is significantly reduced. Finally, inland aquaculture is less prone to natural disasters (hurricanes, typhoons, blooms, water contamination etc.). We are developing a photo-bioreactor for the removal of nutrients from recirculating aquaculture systems (RAS), making inland seafood production more sustainable and cost effective. In contrast to bacterial systems commonly used in the industry, our bioreactors will remove nitrogen, phosphate and CO2 at the same time and produce algae for commercialization. This leads to significant reductions in operating costs and can create an opportunity for inland aquaculture to increase profitability.

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Faculty Supervisor:

Andreas Heyland;Wael Ahmed

Student:

Partner:

George Weston

Discipline:

Life Sciences

Sector:

Manufacturing; Retail trade

University:

University of Guelph

Program:

Accelerate

Improving reproductive performance and fur quality traits in Nova Scotia mink industry using genomics

Genomics is a field of science exploring the structure and function of DNA sequences. Genomic tools have provided new opportunities to accurately select animals for the traits of interest in livestock production. This project will explore the genome regions in American mink using the information from a large number of DNA sequences. The main idea of this exercise is to develop the appropriate tools for genomic selection in American mink. In this project, a wide range of economically important traits including reproductive performance and fur quality traits will be measured in collaboration with Nova Scotia Mink Breeders Association. The project will aim to create a big dataset of DNA information and phenotypic measurements to develop novel approaches in mink breeding. This research will implement the latest methods to improve the competitiveness of the Nova Scotia mink industry.

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Faculty Supervisor:

Younes Miar

Student:

Partner:

Nova Scotia Mink Breeders Association

Discipline:

Life Sciences

Sector:

Agriculture

University:

Dalhousie University

Program:

Accelerate

Application of the Five Capitals Framework to the Mineral Resources Sectorof Mongolia to Support Sustainable Development

The overall goal of the proposed program is the co-development of education programs and academic research with opportunities to apply this understanding in context of SEF/industry activities. The outcomes will benefit SEF’s business activities in Mongolia and other developing countries with significant mineral resource potential. The program will also support investment and business opportunities for Canadian companies that are working in Mongolia. The research undertaken by each intern will provide the recommendations necessary to feed back into training of Mongolian academics and the roadmap to be used when discussing transforming Mongolian universities’ mineral resource programs.

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Faculty Supervisor:

Bern Klein;Nadja Kunz;Julian Dierkes;Andre Xavier

Student:

Partner:

SEF Canada

Discipline:

Engineering

Sector:

Mining; Professional, scientific and technical services

University:

The University of British Columbia

Program:

Accelerate

Selective recovery of Ni-Co-Mn in sulfate media, and graphite from spent Lithium Ion Batteries

In recent years the lithium consumption for batteries has remarkably increased because of the extensive applications of rechargeable lithium batteries in portable electronic devices, electric tools, electric vehicles, and grid storage. The surging demand for these applications asks for innovative solutions for recycling of the spent lithium ion batteries. This proposed project is an attempt to develop solutions for two of the challenges in the lithium ion battery recycling process flowsheet of a Canadian company, Li-Cycle, to produce high value products for market from the ingredients of spent batteries.

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Faculty Supervisor:

Sadan Kelebek

Student:

Partner:

Li-Cycle

Discipline:

Engineering

Sector:

Mining

University:

Queen's University

Program:

Accelerate

Élaboration de recommandations stratégiques de communication pour la fidélisation des donateurs de la Fondation cancer du sein du Québec

Le présent projet de recherche a pour objectif d’élaborer des recommandations communicationnelles pour la Fondation du cancer du Québec en vue de lui offrir des solutions à ses problèmes de fidélisation des donateurs et de différenciation de sa concurrence directe. En effet, 75 % des donateurs ne donnent qu’une fois et les Québécois ont tendance à confondre la Fondation avec d’autres organismes similaires. Plusieurs phases méthodologiques permettront l’élaboration de ces recommandations. D’abord, une recherche documentaire sera entreprise afin de faire ressortir les pratiques d’excellence des relations publiques et de la philanthropie. Viendra ensuite l’observation participante au sein de la Fondation afin de comprendre les discours internes et externes, et de réaliser une analyse de ceux-ci. Des entrevues semi-dirigées seront menées auprès d’acteurs clés internes et externes à l’organisme, afin de confirmer ou d’infirmer les premières pistes de recommandations et d’approfondir la réflexion. TO BE CONT’D

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Faculty Supervisor:

Marie-Ève Carignan

Student:

Partner:

Quebec Breast Cancer Foundation

Discipline:

Sociology

Sector:

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

University:

Université de Sherbrooke

Program:

Accelerate

Efficacy of Radiant Energy Veils in Multi-glazing Fenestration

Today buildings, which account for 40% of the total global energy consumption, constitute large glazing surfaces given that windows provide the necessary spacious feel and direct daylighting for occupants. However, 60% of the heat loss through its exterior surface is attributable to glazed surfaces (windows). Therefore, it is not surprising that advanced fenestration products have enormous potential to realize large energy savings and contribute toward the vision of net/near-zero energy buildings. The objective of the present project is to advance the development of alternative smart technologies thereby overcoming the compromise between performance and cost. This will be achieved through the integration of radiant energy coatings on dynamic shades and blinds disposed within a dual pane/glass window system so as to achieve high thermal performance and daylighting window systems. The proposed project will undertake a detailed study of alternative smart window technologies wherein tunable partitioning radiant energy veils are integrated. The focus of the study will be energy savings under a manifold of design conditions and operating scenarios. The study will be based on benchmarked computational models developed with the flexibility to account for a variety of design features, geographic locations (climatic zones), and operating modes.

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Faculty Supervisor:

Stefan Zukotynski

Student:

Partner:

3E Nano Inc.

Discipline:

Engineering

Sector:

Manufacturing

University:

University of Toronto

Program:

Accelerate

Intelligent systems for social community identification and applications

Social Listening is the act of accessing the many available social networks that exist throughout the world wide web. The partner organization of this research has identified algorithms using existing web technology to evaluate and categorize an interpretive community through the connections of that community?s participants and the context of those connections, including both verbal and visual clues. It will build an intelligent information system and culture equity tool set for social media monitors, marketers and ad agencies, brands and various governments and public institutions. Algorithms for culture community identification by commonalities and anti-commonalities are the core of developing Culture Equity software tools. The objective of this proposed research is to investigate such algorithms with high quality in terms of the algorithms effectiveness and efficiency To achieve the objective, this research project investigate on three different approaches, that is, keyword based classification, machine learning for classification, and classification with semantics.

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Faculty Supervisor:

Weichang Du

Student:

Partner:

Mindmeld Multimedia Inc

Discipline:

Computer science

Sector:

University:

University of New Brunswick

Program:

Accelerate

Housing First as Intervention and its Economic Impact

A review of Housing First practices for housing chronically homeless residents, and their cost-saving potential for municipalities and housing organizations. Housing First treats supplying permanent housing as a priority for recovery for chronically homeless adults suffering from mental health and substance abuse issues. This has been shown to be a more effective housing and treatment strategy that traditional programs that target the same population. This report aims to establish the potential cost-savings of these programs to municipalities to encourage funding for the Bloom Group and other organizations that develop and manage Housing First programs.

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Faculty Supervisor:

Heather Campbell

Student:

Partner:

The Bloom Group

Discipline:

Sociology

Sector:

Health and Related Sciences & Technology

University:

The University of British Columbia

Program:

Accelerate

Lames de patins de haute performance fabriquées par impression 3D

Le présent projet est pour la conception d’une nouvelle lame de patin de hockey qui sera imprimée 3D pour les patins Bauer. Dans ce projet, un nouvel alliage métallique sera développé pour avoir un comportement comme une lame de patin. Ce projet a un avantage de faire avancer les recherches pour les nouveaux matériaux imprimables 3D. Par le fait même, ce projet permettra à Bauer d’offrir un produit exotique issu de la technologie de pointe au grand public à un prix accessible. Cette lame va aussi permettre à Bauer de consolider son titre de leader mondial dans le domaine du hockey sur glace.

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Faculty Supervisor:

Vladimir Brailovski

Student:

Partner:

Bauer Hockey Corp

Discipline:

Engineering

Sector:

Manufacturing; Retail trade

University:

École de technologie supérieure

Program:

Accelerate

CO2-EOR in Devonian Reefs of Alberta – Reservoir Characterization and Screening

Devonian reservoirs have contributed significantly to the development of the petroleum industry in Alberta. This is mainly due to their favourable characteristics of high permeability enhanced by dolomitization in these often reefal structures. Although many have had good recoveries, much oil remains to be recovered. Many of the same characteristics that led to good production performance during the past decades are expected to contribute to good production potential if CO2-based enhanced-oil recovery (CO2-EOR) methods are employed.
In this research, we will characterize a subset of these reservoirs from geological and engineering points of view and develop a methodology for assessing and ranking of their suitability for CO2 -EOR. This will strengthen position of the partner organization in this area. Furthermore, the partner organization is developing a course for reservoir characterization of carbonate reservoirs, particularly for the application of CO2-EOR. The reservoirs examined in this research will serve as case studies in this course.

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Faculty Supervisor:

Hassan Hassanzadeh

Student:

Partner:

MPD Reservoir Engineers Ltd

Discipline:

Engineering

Sector:

Mining

University:

University of Calgary

Program:

Accelerate

AI-Based Automated Methodologies for Supply Chains: High Precision Tabular Detection and Semantic Modeling of Electronic Components from Datasheets

This project will develop a hybrid framework by integrating AI and machine learning methods with tabular information extraction and semantic modeling to improve the state-of-the-art precision and recall in tabular detection while maximizing the value of extracted information for industrial applications. Following a properly designed pre-processing stage to improve the outcomes of AI techniques, the research problem is three-fold: The first phase involves in improving the success of tabular detection as there is significant room for improvement in the recognition of e-Component tables under the billion+ components data. Next, semantic search will be applied on tabular information to extract specific data for electronic components in the second phase. In the first two phases, classification and self-organizing maps will be used as the AI techniques to meet the desired level of success. The design of an end-to-end holistic system will be accomplished in the third phase of the proposed project.

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Faculty Supervisor:

Burak Kantarci

Student:

Partner:

Lytica

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Ottawa

Program:

Accelerate

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