Innovative Projects Realized

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

30156 Completed Projects

2861
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5059
BC
812
MB
673
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842
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8957
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9368
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96
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579
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1120
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Projects by Category

Mapping issues and stakeholders related to the development of Canada’s restoration plan for the Great Lakes and St. Lawrence Basin

The Great Lakes St Lawrence (GLSL) Basin is central to Canada’s economy and culture, and a primary water source. Several stressors are deteriorating these critical ecosystems.
This proposed project aims to lay the foundations for efforts to improve coordination related to the restoration of the GLSL region. The proposed project consists of mapping stakeholders, issues, and existing initiatives and infrastructure regarding the Canadian side of the GLSL restoration plan. This includes the systematic identification of stakeholders (e.g., First Nations, public policy-makers, private and business organizations, civil society organizations) and analysis of their current initiatives, issues and concerns, as well as the mapping of their interdependencies. Building on these initiatives, infrastructures, and interdependencies, this project will contribute to the establishment of a collaborative framework to develop a restauration plan for the GLSL.

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Faculty Supervisor:

Emmanuel Raufflet

Student:

Partner:

De Gaspé Beaubien Foundation

Discipline:

Business

Sector:

Other services (except public administration)

University:

HEC Montréal

Program:

Accelerate

Sentiment Analysis with Parsed Representation of News Articles

Information published by financial news agencies is used as one of the inputs to make investment decisions. News articles from multiple sources can be used to gauge market sentiment towards an industry or a specific company. Deep learning techniques have been successful in producing state of the art results on various benchmark datasets (Dai & Le, 2015; Miyato et al., 2016). Most of the popular algorithms extract features from words, sentences or paragraphs and represent them as fixed-length vectors (Mikolov et al., 2013; Le & Mikolov, 2014). We propose the use of parsed representations of text along with fixed-length feature vectors as input for recurrent neural networks. The performance of these models will be evaluated on sentiment analysis tasks.

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Faculty Supervisor:

Graham Taylor

Student:

Partner:

RBC Royal Bank (Toronto, ON)

Discipline:

Engineering

Sector:

Finance and Insurance; Management of companies and enterprises

University:

University of Guelph

Program:

Accelerate

Interaction of Cyclin-dependent kinase 2 with CR6-interacting factor 1, and the inhibitor search for such interaction against leukemia treatment resistance

Cyclin-dependent kinase-2 (CDK2) regulates cell cycle, whose structure and biological characteristics are well known. CRIF1 plays a regulatory role in the bone marrow microenvironment-induced leukemia cell cycle arrest through inhibiting CDK2. In this multi-disciplinary research, we will use a combined structure function study to reveal the interaction between CDK2 and CRIF1. This will facilitate the design of inhibitors for the interaction of the two important proteins, for eventual treatment of leukemia.

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Faculty Supervisor:

Sheng-Xiang Lin

Student:

Partner:

JingYinJi Medical Inspection Inc;Pyrovac Inc

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

Université Laval

Program:

Accelerate

Validation of an innovative industrial process for the pre-treatment of hay in controlling inflammation and respiratory obstruction associated with Severe Equine Asthma (SEA)

Severe Equine Asthma (or “heaves”) is the most common respiratory disorder affecting horses in stables, and impacts an estimated ~15% of the equine population in the northern hemisphere. Heaves is a chronic condition for which there is currently no cure, and its symptoms are quite dramatic causing severe breathing difficulty for affected horses, making it impossible for owners to ride or work with them. As a result, heaves has an important economic impact as it very often leads to euthanasia of affected horses. In the short-term, the symptoms of heaves can be effectively managed with drug treatments, however these drugs are not viable as a long-term treatment option due to their risk of adverse effects, as well as their high costs. TO BE CONT’D

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Faculty Supervisor:

Jean-Pierre Lavoie

Student:

Partner:

Nutri-Foin Système

Discipline:

Life Sciences

Sector:

Manufacturing

University:

Université de Montréal

Program:

Accelerate

Cocktails of Different Populations of Genetically Modified Human Umbilical Cord Perivascular Cells for Bone Regeneration

The loss of bone is a massive burden on the health care system and severely impacts the quality of life of several hundred million people. The need for alternative strategies to replace or regenerate bone tissue is overwhelming. We are proposing a completely new approach to the engineering of bone using a ?cocktail? of genetically modified human umbilical cord perivascular cells (HUCPVCs) that can be produced in vast numbers, stored in liquid nitrogen so that they could be ready for therapeutic purposes. The HUCPVC technology is represents the core IP of our industrial partner, Tissue Regeneration Therapeutics Inc. The intern will conduct experiments to test the effects of varying the percentages of different cells within the cocktails; generate quantitative data concerning the absolute amount of secreted protein; and assess the bioactivity of the released protein. Tissue engineering and ex-vivo gene therapy can be used synergically as a tool to …

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Faculty Supervisor:

Bernhard Ganss

Student:

Partner:

Tissue Regeneration Therapeutics Inc

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

The viscous disk model for 66 Ophiuchi constrained by spec

My project focuses on a particular kind of massive star that are surrounded by disks called B-emission (Be) stars. These objects
are ideal laboratories for studying disks. Massive stars can spew out a thousand times more energy per second than our Sun and
because the disk is formed from gas launched from the star, they are not shrouded in dust like star forming regions where we find
disks. They are also numerous – hundreds of Be stars exist right in our own galaxy!
Despite decades of study we still don’t know why the disk forms and this is the major puzzle in this field of research. The rapid
rotation of the star certainly helps to propel material off the surface into the disk but we don’t think that this quick rotation provides
enough of a kick. Something else must help to eject the material – perhaps gravity from an orbiting star, a wave or pulsation on
the stellar surface or a push from the stellar radiation. TO BE CONT.

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Faculty Supervisor:

Carol Jones

Student:

Partner:

Universidade de São Paulo

Discipline:

Physics

Sector:

University:

Western University

Program:

Globalink Research Award

Hydrolytic de-polymerization of hydrolysis lignin using alkaline catalysts: effects of process parameters and optimization

Hydrolysis lignins (HL) are a byproduct from acid or enzymatic biomass pretreatment processes such as the ones employed in cellulosic sugar and/or ethanol plants. They are mainly composed of lignin , unreacted cellulose and mono and oligosaccharides. These lignins are, to a great extent, covalently bonded to cellulose and/or hemicellulose to form lignin carbohydrate complexes (LCCs) thereby making them insoluble in alkali and most common organic solvents – this, obviously, limits the range of applications in which they can be used, in particular, as a bio-substitute for aromatic chemicals for the synthesis lignin-based materials such as lignin-based phenol formaldehyde, polyurethane and epoxy resins. To address the above challenges in the valorization of HL as a chemical feedstock, this research targets hydrolytic depolymerization of HL in water in the presence of an alkaline catalyst to obtain de-polymerized hydrolysis lignin (DHL) with a much lower molecular weight, a higher solubility in various common solvents and, as a result, a higher chemical reactivity. In this proposal, different types of alkaline catalysts will be tested as catalysts for the process. TO BE CONT.

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Faculty Supervisor:

Charles Chunbao Xu

Student:

Partner:

FPInnovations

Discipline:

Engineering

Sector:

Agriculture; Professional, scientific and technical services

University:

Western University

Program:

Accelerate

Optimisation des rendements des élevages postlarvaires de homard américain

Le RPPSG vise à compenser environ 5% de ses captures par l’ensemencement de postlarves de homard produites en écloserie. Depuis le début de cette production en 2010, le RPSG a appris à bien maîtriser la zootechnie en écloserie. Il a identifié deux points majeurs à optimiser, soit les coûts importants liés la production de nourriture vivante pour nourrir les larves et le passage de l’élevage larvaire en bassins vers l’élevage postlarvaire en Aquahive. Ce système d’élevage postlarvaire a été développé pour le homard européen et transféré directement au homard américain sans optimisation. Ce projet vise donc à tester un régime alimentaire mixte constitué de nourriture vivante et non-vivante ainsi qu’à documenter et optimiser les rendements dans l’Aquahive. Grâce à ce projet, nous espérons diminuer les couts associés à la production de nourriture vivante de 30% et accroitre les rendements postlarvaires d’au moins 20%

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Faculty Supervisor:

Réjean Tremblay

Student:

Partner:

Le Regroupement des pêcheurs professionnels du sud de la Gaspésie

Discipline:

Life Sciences

Sector:

Agriculture

University:

Université du Québec à Rimouski

Program:

Accelerate

Classification de produits pour l’optimisation des stratégies d’approvisionnement chez Stelia

Stelia Amérique du Nord (Stelia) est une entreprise du secteur aérospatial qui offre différents services, produits et composants de haute technologie aux grands donneurs d’ordres comme Airbus et Bombardier. Stelia opère deux importantes usines en Amérique du Nord et achète globalement environ 14.000 pièces et composants spécifiques et standards. L’objectif de ce projet est d’aider Stelia à optimiser la gestion de ses approvisionnements en définissant des classes de produits qui soient adaptées à des stratégies d’approvisionnement spécifiques et efficaces. Pour cela, nous proposons d’utiliser la simulation à événements discrets et l’analyse de données par arbres de classification pour définir des règles de classification de produits à partir des résultats de simulation de stratégies d’approvisionnement de ces produits (ex., coût d’approvisionnement, retard moyen, niveau de service). En particulier, Stelia souhaite évaluer la performance potentielle de stratégies d’approvisionnement avec fournisseurs multiples de manière à gérer les aléas de sa consommation, ainsi qu’une stratégie avec un entrepôt de consolidation au Canada.

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Faculty Supervisor:

Jean-Marc Frayret;Diane Riopel

Student:

Partner:

STELIA Aéronautique Amérique du Nord Inc

Discipline:

Business

Sector:

Manufacturing

University:

École Polytechnique de Montréal

Program:

Accelerate

Exploring Inventory optimization Through Small Business

Upon completion of the project the interns work will allow the partner organization to better understand
how inventory management is handled in small businesses. The project will also help understand what
inventory levels should be for small businesses based on predictive analytics. With this knowledge the
partner organization can better understand how it can help businesses monitor and manage their
inventory as well as prepare that inventory for future sales.
The intern’s work on this project will also allow small businesses to better know their business in general.
The research should give owners a better idea of how to monitor sales trends and understand how
different macro environmental factors affect their businesses inventory sales.

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Faculty Supervisor:

Saeed Samet

Student:

Partner:

Fytics Inc.

Discipline:

Business

Sector:

Information and cultural industries

University:

Memorial University of Newfoundland

Program:

Accelerate

3D Heat-Map Development based on Fault Diagnosis Data

This work focuses on generation a framework to employ a set of 3D coordinates, as the input dataset to the model, and generate the 3D heat map based on the 3D shape. The generated 3D heatmap aims to define the most probable areas for fault categories on the 3D surface. To develop such a system, the 3D shape is printed and the 3D coordinates of simulated faults are recorded using a tool tracker. Then, a machine learning platform is employed to use the 3D fault datasets as the input and produce the probabilities of different fault categories on the given location. Finally, the 3D heat map is generated to efficiently visualize the 3D shape with the most probable areas of fault categories. Consequently, the manufacturer can localize the probabilities of fault categories on a given 3D shape.

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Faculty Supervisor:

Jonathan Wu

Student:

Partner:

Radix Inc

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Windsor

Program:

Accelerate

Système de balise à faible consommation pour des équipements de désinfection mobiles aux ultraviolets

Afin de réduire les maladies nosocomiales, l’entreprise Sanuvox Technologies a mis au point un appareil permettant de désinfecter une chambre de patient. Pour suivre les activités au sein de l’hôpital et assurer que l’équipement est utilisé sur une base régulière dans chaque pièce, un système de communication vers l’Internet est nécessaire. Toutefois, l’infrastructure informatique de l’hôpital ne permet pas d’y intégrer un accès. Les technologies de radiofréquences à longue portée et faible puissance, utilisée dans l’agriculture par exemple, seront intégrées dans un bâtiment pour transmettre les registres à l’internet.

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Faculty Supervisor:

Robert Pellerin;Louis Rivest

Student:

Partner:

Sanuvox Technologies inc.

Discipline:

Engineering

Sector:

Manufacturing

University:

École Polytechnique de Montréal

Program:

Accelerate

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