Innovative Projects Realized

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

31132 Completed Projects

2940
AB
5159
BC
837
MB
685
NL
882
SK
9291
ON
9695
QC
97
PE
601
NB
1161
NS

Projects by Category

Étude des espèces récalcitrantes à la restauration des tourbières

La comparaison des bases de données floristiques et des analyses statistiques permettront de comparer la biodiversité des tourbières restaurées et des tourbières naturelles utilisées comme site d’emprunt. Cette étude visera aussi à répertorier les espèces présentes en tourbières naturelles et absentes en tourbières restaurées sur sites industriels. Suite à cela, des inventaires seront mis en place durant la période de floraison d’espèces rares de tourbières (orchidées par exemple) afin de confirmer si la méthode de restauration par transfert du tapis muscinal permet le rétablissement d’espèces rares ou à statut précaire. L’étude de la biologie de ces espèces permettra de proposer des recommandations de réintroduction et de gestion des espèces récalcitrantes. De plus une recherche documentaire sur la propagation de ces espèces sera nécessaire pour mieux comprendre son absence au sein des tourbières restaurées. TO BE CONT’D

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Faculty Supervisor:

Line Rochefort

Student:

Partner:

Université de Bretagne Occidentale

Discipline:

Life Sciences

Sector:

University:

Université Laval

Program:

Globalink Research Award

Application des algorithmes intelligents pour la classification des flux de données (RSS, Alertes Gmail) : Une étude de cas de l’autisme

L’exploration de données est le processus d’acquérir des modèles, des connaissances et des informations à partir d’un ensemble de données et les transformer en une structure compréhensible et explicable pour une utilisation à l’avance. Dans notre application, un algorithme intelligent nous aide á gagner du temps et bien s’assurer de la concordance de l’article au sujet de l’autisme d’une façon automatique. L’objectif principal est d’envoyer au parent ou chercheur, un bulletin de nouvelles personnalisé des nouvelles pertinentes aux catégories choisies sur le domaine de l’autisme.

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Faculty Supervisor:

Habib Hamam

Student:

Partner:

Solutions Galore Web Design & Hosting

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Université de Moncton

Program:

Accelerate

Application, efficacy and scale up of a novel extraction method for valorization of by-products of Ascophyllum nodosum extract processing

The industry partner is a producer of a successful seaweed based plant product used globally to improve plant growth. However, a large amount of waste byproduct, termed seaweed insoluble residue, is created as a byproduct of the production process. This residue has been found to contain a large amount of the original seaweed biomass. By extracting this unused biomass from the product, it is possible to turn a current waste stream into a marketable product. The proposed project will make use of ultrasound processing to improve the solubility of the SIR. The resulting fractions will be fully characterized to determine composition. The industrial partner will benefit through the reduction of a costly waste stream and through the development of novel plant stimulatory products.

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Faculty Supervisor:

Beth Mason

Student:

Partner:

Acadian Seaplants Limited

Discipline:

Life Sciences

Sector:

Agriculture

University:

Cape Breton University

Program:

Accelerate

Risque opérationnel et conformité : projet d’aide à la décision

A-Le premier volet de ce projet vise à déterminer en amont les seuils de performance dans les firmes de GC pour identifier le fonctionnement de la gestion de risquesOp en fonction de la gouvernance et des pratiques en santé et sécurité au travail.
B- Le deuxième volet en aval vise à déterminer les pratiques de conformité en GC et d’EC pour développer le premier benchmark canadien. La combinaison d’entrevues en direct et d’un sondage national permettra d’identifier la tendance actuelle des pratiques (indice de performance) et de cerner les pratiques exemplaires en émergence.
C- L’environnement SST, source majeure de risqueOp, s’est complexifié. Le troisième volet vise à développer un programme d’aide à la décision (PAD) permettant d’accélérer et d’optimiser la prise de décisions en prévention de risques qui comprend l’analyse des besoins des utilisateurs et le développement d’un système expert.

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Faculty Supervisor:

Claudiane Ouellet-Plamondon

Student:

Partner:

SNC-Lavalin Group Inc (Montreal, QC);WSP Canada Inc;Stantec Consulting (Montreal, QC);Excavation Loiselle Inc

Discipline:

Engineering

Sector:

Construction and infrastructure; Professional, scientific and technical services

University:

École de technologie supérieure

Program:

Accelerate

Technical economic cost modeling for scaled production of printable organic solar cells

Traditional silicon-based solar cells are harmful to the environment and costly to manufacture. Polymer-based (organic) solar cells on the other hand are thinner and more flexible electronic devices that are economically sustainable and have high cost saving potential due to the printable nature of their manufacturing process. This project involves cost estimation and analysis of different processing steps that the partnering company may pursue for low to medium volume manufacture of its organic solar cells. The intern will familiarize with the solar power market in order to assist the partnering company in identifying and liaising with potential key suppliers and business partners. The outcome of this project will contribute to both short term and long term business development plans implemented by the partnering organization including: sales and revenue forecast, pricing strategy, operational strategy, etc.

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Faculty Supervisor:

Elicia Maine

Student:

Partner:

Discipline:

Physics

Sector:

Professional, scientific and technical services

University:

Simon Fraser University

Program:

Accelerate

Semantic question-answering systems for customer service automation

Recent advances in applications of deep learning in natural language processing has provided potential opportunities in building robust information retrieval and conversational models that require far less hand-crafted features for understanding the intent of queries and ultimately building question-answering systems. In particular, there has been several advances in factoid question-answering systems and some recent attempts to moving beyond factoid questions. The focus of this project is to build various retrieval and conversational models based on deep learning techniques using the real customer service conversation corpora available. The industry partner, Aida Software, has access to several data sets of customer conversations and will provide expert industry advice and resources for the project. TO BE CONT’D

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Faculty Supervisor:

Anoop Sarkar

Student:

Partner:

Aida Software Corp

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Simon Fraser University

Program:

Accelerate

Provincial Criminalization, Health and Human Rights: Social Science Com-ponent

A complex web of federal, provincial and municipal laws, regulations and policies affect the lives and the health of people who are homeless, use drugs, and/or engage in sex work. These populations also have high incidents or elevated risk of contracting HIV and/or HCV, as well as risk of overdose death. The goal of the project is to gather province-wide data on the role of legal systems in criminalizing, and increasing the risk to life, health and safety, of these populations, and in particular, increasing the risk of contracting HIV, HCV or overdose death. It will examine municipal bylaws, enforcement tactics, judicial conditions, and conditions of confinement. The research will contribute to Pivot’s law reform initiatives, increase awareness of health harms associated with local legal practices, and provide a framework for in-community legal rights education and strategic legal action.

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Faculty Supervisor:

Nicholas Blomley

Student:

Partner:

Pivot Legal Society

Discipline:

Sociology

Sector:

Other services (except public administration)

University:

Simon Fraser University

Program:

Accelerate

Development of a debris-flow risk reduction design tool

Steep creek hazards such as debris flows and debris floods pose a considerable risk to mountain communities and infrastructure. Relative to other geohazards, debris flows and debris floods are particularly hazardous because they travel rapidly, provide minimal warning and occur frequently. In Canada, professionals have little experience with debris-flow risk reduction due to limited development in mountainous areas. As mountain communities and infrastructure projects expand into more rugged terrain, there will be an increased demand for debris-flow and debris-flood protection in our country. This project aims to address this demand, by drawing on local and international experience to create a framework to inform the design of sustainable debris-flow risk reduction measures in Canada.

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Faculty Supervisor:

Douglas Stead

Student:

Partner:

BGC Engineering Inc (BC)

Discipline:

Engineering

Sector:

Construction and infrastructure; Professional, scientific and technical services

University:

Simon Fraser University

Program:

Accelerate

Atomic Layer Deposition Tool – Testing and Process Development – Year two

Currently, no Canadian-based companies are involved in the manufacturing of state-of-the-art research tools for atomic layer deposition (ALD). Angstrom Engineering is a leading manufacturer of similar technologies – physical vapour deposition and chemical vapour deposition – and have identified an opportunity to produce the first ALD research tool manufactured entirely in Canada. ALD is a vapour phase technique that offers sequential, self-limiting surface reactions to deposit thin films with exceptional control over thickness and composition, as well as conformality and uniformity. The demand for ALD is primarily driven by fast emerging sophisticated technological demonstrations in materials science and engineering, nanotechnology, microelectronics, displays, storage devices and bio-integrated electronics. The development of this cutting-edge manufacturing equipment will further advance the growth and opportunities in this field, especially in the uncapitalized emerging markets (i.e. Asia and Latin America). TO BE CONT’D

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Faculty Supervisor:

Sean Barry

Student:

Partner:

Angstrom Engineering Inc

Discipline:

Engineering

Sector:

Manufacturing

University:

Carleton University

Program:

Elevate

Atomic Layer Deposition Tool – Testing and Process Development

Currently, no Canadian-based companies are involved in the manufacturing of state-of-the-art research tools for atomic layer deposition (ALD). Angstrom Engineering is a leading manufacturer of similar technologies – physical vapour deposition and chemical vapour deposition – and have identified an opportunity to produce the first ALD research tool manufactured entirely in Canada. ALD is a vapour phase technique that offers sequential, self-limiting surface reactions to deposit thin films with exceptional control over thickness and composition, as well as conformality and uniformity. The demand for ALD is primarily driven by fast emerging sophisticated technological demonstrations in materials science and engineering, nanotechnology, microelectronics, displays, storage devices and bio-integrated electronics. The development of this cutting-edge manufacturing equipment will further advance the growth and opportunities in this field, especially in the uncapitalized emerging markets (i.e. Asia and Latin America). TO BE CONT’D

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Faculty Supervisor:

Sean Barry

Student:

Partner:

Angstrom Engineering Inc

Discipline:

Engineering

Sector:

Manufacturing

University:

Carleton University

Program:

Elevate

Learning Depth from Transmissive Diffraction Mask based Sensor

Most cameras today, take photographs by measuring the amount of light in a scene. This means that they discard any information about the directionality of light, which results in a two-dimensional representation of the three-dimensional scene. We have developed a new type of camera that can detect the direction of light as well as image intensity. The 3D scene can be estimated by leveraging this additional information. Due to our manufacturing constraints, the signal from our camera is not ideal, hence the reconstruction process is not straightforward. During this internship, we will investigate machine learning based approaches to compute depth from the information captured by our camera.

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Faculty Supervisor:

Michael Langer

Student:

Partner:

Airy3D Inc

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

McGill University

Program:

Accelerate

Sound source localization in reverberant rooms using time-reversal processing

In this project, we aim to apply the Time-Reversal (TR) principle to locate sound sources in a reverberant environment using a small hemispherical microphone array. Previously, sound source localization has been demonstrated using TR and a hemispherical array where all sources were located inside the hemisphere – however, the feasibility of using a smaller hemispherical array in a situation where sources are located outside the hemisphere (for instance, in an industrial workroom) is still an open question. In addition to verifying that the aforementioned concept is feasible in a reverberation chamber, we will apply the concept to real rooms. In both cases, the TR process will be performed in Matlab, first using simulated data, and then using physical experimental data acquired by a pre-existing hemispherical microphone array developed at UBC.

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Faculty Supervisor:

Murray Hodgson

Student:

Partner:

Université de Poitiers

Discipline:

Engineering

Sector:

Education

University:

The University of British Columbia

Program:

Globalink Research Award

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Mitacs — Return on Innovation

Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.