Innovative Projects Realized

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

29670 Completed Projects

2811
AB
4990
BC
801
MB
663
NL
825
SK
8841
ON
9197
QC
95
PE
568
NB
1088
NS

Projects by Category

Biosurfactant Production from Seafood Processing Waste

This project aims at developing an innovative technology through the utilization of fish waste as substrates for biosurfactant production. Through the proposed approach, fish waste will be recovered into fishery peptone and being used as a nutrient substrate for the synthesis of biosurfactant products with promising market values. The outcomes of this project will directly provide the fishery industry a new model of fish waste reuse and management by “turning waste into valuable products”. It will also help reduce waste discharge and protect the environment. Last but not least, it creates revenues by producing high value-added products and consequently promote the sustainable development of fishery and seafood processing industries in Canada and beyond.

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Faculty Supervisor:

Baiyu (Helen) Zhang

Student:

Partner:

Springboard Atlantic Inc.

Discipline:

Engineering

Sector:

Biotechnology; Environmental Science and Technology; Aquaculture and Fishing

University:

Memorial University of Newfoundland

Program:

Accelerate

Quantolio Insights: Augmenting the investment management process through AI & ML

The project consists of developing new methodologies to augment the investment management process through AI & ML. To this purpose, the project will be divided in two subprojects :
1) Optimization of error detection and error correction in the data cleansing process.
In every data science project, data scientists and analysts spend a considerable amount of their time cleaning the data they have. The objective is to automate the error detection and error correction processes, with the goal of integrating the models in a user-friendly platform. The end product, Quantolio Data Doctor, will allow users to significantly improve the quality and precision of their data, and speed up the data cleaning process by at least 50%.
2) Development of machine learning algorithms to improve different phases of the investment management process.
The objective of this part is to develop a platform called Quantolio Insights, that will allow portfolio managers to efficiently integrate AI solutions in every phase of the investment management process – allowing them to take better data-driven decisions and improve the performance of their portfolio

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Faculty Supervisor:

Frédéric Godin

Student:

Partner:

Quantolio Financial Technologies Inc

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Concordia University; HEC Montréal

Program:

Accelerate

Membrane processing of fermented fish waste for enrichment of bioactives

Development of a scalable, flow-through membrane-based processing platform for producing enriched fractions of bioactives from marine by-product extracts generated by bacterial fermentation. The proposed technology uses the conventional membrane filtration approach using pressure in tandem with applied voltage for increasing the value and application of the sustainably sourced, bioprocessed crude fish by-product protein extracts. Peptide fractions with desired properties namely uniform charge and size can be obtained using this processing approach.

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Faculty Supervisor:

Beth Mason

Student:

Partner:

Springboard Atlantic Inc.

Discipline:

Life Sciences

Sector:

Biotechnology; Agriculture and Food; Environmental Science and Technology

University:

The Verschuren Centre Inc.

Program:

Accelerate

Adaptation psychosociale des enfants vivant en contexte pandémique – Étude longitudinale

Le 11 mars 2020, l’Organisation mondiale pour la Santé déclare que l’éclosion de la COVID-19 est désormais une pandémie. Face à la propagation du virus et à la mortalité qui l’accompagne, le gouvernement Québécois met en place les mesures de confinement strict. Les premières études établissent que l’adaptation globale des enfants est peu compromise par la pandémie, mais que certains groupes d’enfants s’adaptent moins bien que d’autres. Alors que la seconde vague sévit et que de nouvelles restrictions sont mises, l’adaptation des enfants peut avoir changée depuis mai 2020. Ce projet vise à comparer les niveaux d’adaptation psychosociale et scolaire des enfants 6-17 ans vivant en contexte de pandémie à court, moyen et long terme. Il est attendu que les enfants puissent démontrer des niveaux d’adaptation psychosociale et scolaire variables selon la durée de la pandémie et les mesures qui sont associées mais aussi selon leur niveau de vulnérabilité et leurs caractéristiques.

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Faculty Supervisor:

Claire Baudry

Student:

Partner:

Fondation Jasmin Roy Sophie Desmarais

Discipline:

Sociology

Sector:

Education; Other services (except public administration)

University:

Université du Québec à Trois-Rivières

Program:

Accelerate

Tourisme généalogique. Créer des souvenirs de famille

L’histoire et le patrimoine font partie des ressources territoriales que peut mettre en valeur une destination pour attirer les visiteurs. Lorsqu’il s’agit précisément du patrimoine familial des visiteurs, la destination acquiert toutefois une distinction tout à fait unique. La région du Kamouraska, où de nombreuses familles pionnières québécoises se sont installées, a choisi de mettre en valeur ces patrimoines par le développement d’activités de tourisme généalogique. Ce projet vise à contribuer au développement de l’offre de tourisme généalogique de la région du Kamouraska par l’étude de l’écosystème touristique qui doit être en place pour développer l’offre, mais également par l’étude des visiteurs qui viennent y chercher et y forger leurs souvenirs de familles.

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Faculty Supervisor:

Pascale Marcotte

Student:

Partner:

Municipalité régionale de comté de Kamouraska

Discipline:

Sociology

Sector:

Public administration

University:

Université Laval

Program:

Accelerate

Predicting click-impression dynamics by an epidemic model

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Faculty Supervisor:

Jianhong Wu

Student:

Partner:

InferSystems

Discipline:

Mathematics

Sector:

Professional, scientific and technical services

University:

York University

Program:

Accelerate

Financial Portfolio Reconciliation using Deconstructed Deep Learning

Citco provides financial products and services to hedge funds, private equity and real estate firms, investors, institutional banks, Global 1000 companies, and high net worth individuals in the Netherlands and internationally. The previous research was focused on optimizing operations by automating trade resolution and reducing risk using machine learning. Given its success in matching individual transactions, the proposed project plans to extend the research to overall portfolio management for identifying discrepancies in the portfolio at the end of the trading day. Outlier detection algorithms will be proposed to improve the accuracy of existing mismatch detection procedures. Unsupervised and supervised machine learning will be used to further improve this capability. The research will also look at improving data visualization and user interface for efficient monitoring of trade mismatch. Further, we will explore use of text mining for automated resolution of trades based on e-mails exchanged between those involved in a trade. The endeavor will significantly improve the data analytics capabilities of Citco and will potentially result in an increased operational footprint in Atlantic Canada.

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Faculty Supervisor:

Pawan Lingras

Student:

Partner:

Citco (Halifax)

Discipline:

Computer science

Sector:

Administrative and support, waste management and remediation services; Finance and Insurance

University:

Saint Mary's University

Program:

Accelerate

Les initiatives municipales sur l’aménagement urbain et la voirie lors la pandémie de covid19 : quels enseignements sont à retenir pour le développement de la mobilité active par des mesures d’aménagement dans les villes?

Durant la pandémie de covid-19, plusieurs villes, dont Montréal, ont mis en place des interventions sur l’aménagement urbain, l’organisation du transport local et la gestion des espaces. Ces mesures visaient la distanciation physique dans les espaces urbains tout en assurant le maintien des activités commerciales des établissements ayant pignon sur rue. Ces actions n’ont pas eu les mêmes impacts ou entrainé une acceptabilité sociale similaire. Plusieurs de ces mesures favorisent les déplacements actifs sécuritaires, mobilité qui fait consensus dans la planification urbaine durable des villes. Il est essentiel d’estimer les actions qui pourront être maintenues, dans quel contexte urbain et pour quelles raisons. Le.la stagiaire fera le portrait des actions en aménagement urbain mises en place durant la pandémie dans les principales villes occidentales. Ces actions publiques seront comparées avec les stratégies développées pour la Ville de Montréal. Un séminaire auprès d’experts sera organisé pour procéder à la validation de ces analyses. La recension des écrits, les études de projets d’aménagement réalisés à Montréal et le séminaire avec les experts permettront de constituer un recueil de mesures d’aménagement et de dispositifs prometteurs, efficaces et détenant un potentiel de transférabilité aux autres villes.

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Faculty Supervisor:

Sophie Paquin

Student:

Partner:

Association pour la santé publique du Québec;Montréal métropole en santé

Discipline:

Sociology

Sector:

Other services (except public administration)

University:

Université du Québec à Montréal

Program:

Accelerate

Développement d’un algorithme de reconnaissance d’images de papillons tropicaux

Le nombre d’espèces qui nous entourent est si important qu’il peut être ardu, même pour les spécialistes, de toutes les identifier. Cela est particulièrement vrai pour les insectes. De plus, avec l’avènement des technologies mobiles de l’information, la quantité et la qualité des images disponibles n’a jamais été aussi importante. Grâce aux appareils photos numérique et aux téléphones intelligents, virtuellement n’importe qui peut générer des données d’observations qui peuvent être utilisées pour le suivi de la biodiversité. L’intelligence artificielle s’impose comme une solution pour traiter toutes ces informations et faciliter l’identification des espèces sur les photos, pour les experts comme pour le public en général. Ce projet vise à développer un outil permettant d’identifier automatiquement des papillons à partir d’images de spécimens vivant prises avec une application mobile dans un musée. Grâce à cet outil, les visiteurs seront en mesure de trouver plus facilement de l’information sur les papillons qu’ils observent tout en réalisant qu’ils peuvent eux-mêmes contribuer à document la biodiversité après leur visite au musée.

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Faculty Supervisor:

Michael Brudno;Yoshua Bengio

Student:

Partner:

Institut de recherche en biologie végétale

Discipline:

Computer science

Sector:

Manufacturing; Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Lower Columbia Initiatives Corporation- Kirti Malhotra

Lower Columbia Initiatives Corporation is currently facing stagnancy to branch out into various projects. COVID-19 had limited their funding and now the corporation would like to attract for investors and entrepreneurs to invest in the natural resource industry. These investments not only are limited to boosting the local economy of Trail BC but also overall economy of Canada. The deliverables of the project will be 5-6 business cases that will elaborate on the background of the product, in depth research of how benefits provided and an in depth analysis of the cost productions. Creation of marketing materials will also be created and information advertised will also be thoroughly researched into to advertise.

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Faculty Supervisor:

Andreas Schwartz

Student:

Partner:

Lower Columbia Initiatives Corporation

Discipline:

Business

Sector:

Administrative and support, waste management and remediation services; Mining; Other services (except public administration)

University:

Kwantlen Polytechnic University

Program:

Business Strategy Internship

Automating Subsea Asset Inspection for Corrosion/Pit Detection by Machine Learning

Any offshore operation involves the utilization and maintenance of a number of subsea assets, and corrosion inspection is one of the important components. Visual inspection plays a crucial step towards corrosion inspection of subsea asset(s). This visual inspection involves analysis of images of the subsea asset revealing the surface condition of the asset(s), which includes corrosion, pits and cracks. Such image analysis helps to understand the condition of asset(s) and strategize further integrity management practices. However, analyzing these images still remains a labour-intensive and time-consuming task, which is so far manually performed in the industry. In addition, possibility for human errors is another important drawback in the manual image analysis method. Therefore, automating these image analyses by machine learning application will not only make the process faster, but automation will also increase the accuracy. Our company is currently working on developing this automated inspection software application, which will ultimately become a flagship product of the company. This will enhance the revenue growth of the company and will help relieve the financial impact of the COVID pandemic.

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Faculty Supervisor:

Stephen Czarnuch

Student:

Partner:

qualiTEAS Inc

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Memorial University of Newfoundland

Program:

Business Strategy Internship

Finance/Admin Role 2nd – Mission Control Space Services

The project will encompass preparing the partner organization for growth and first round of investor fundraising. This will entail due dilgence, strategic development, review and development of all operational areas and developing appropriate policies, procedures, documentation, and governance. Additionally, forecasting, budgeting, product and pricing development and strategy. Along with any ad hoc projects that may arise.

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Faculty Supervisor:

Jay Handelman

Student:

Partner:

Mission Control

Discipline:

Business

Sector:

Manufacturing; Professional, scientific and technical services

University:

Queen's University

Program:

Business Strategy Internship

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