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

Development of optimized one-way vent valves for coffee packaging

In this project, the intern will tackle the production challenges currently faced by the industrial partner. Specifically to overcome inconsistent open/close pressures of a low profile vent valves intended for active packaging of roasted coffee. Vent valves, made of multiple layers of polymeric materials, are capable of relieving the internal pressure of a coffee package due to gradual degassing of CO2 from the roasted coffees, effectively preventing package failure and product staling. The intern will investigate the performance of production and prototype valves, study of the material properties of the polymeric membranes and sealing liquids, and develop methodologies to resolve the production issues. The findings will allow the optimization of open/close pressure of the vent valve, in order to meet CCL’s customers specifications and ensure successful production scale up, enabling the company to capture Canadian and world-wide market.

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Faculty Supervisor:

Loong Tak Lim

Student:

Partner:

CCL Label

Discipline:

Engineering

Sector:

Manufacturing

University:

University of Guelph

Program:

Accelerate

Applications of entanglement renormalization in comparison with density functionals on the quantum computer

We perform computations of quantities relevant for density functional theory including uniform gases in a variety of situations with entanglement renormalization methods. The end-goal is to determine where the limits of existing classical methods are for obtaining quantities relevant for density functional theory. In this case, we solve for energies for the uniform gas in a variety of situations, not just for the ground state. The limitations on these methods demonstrates where quantum computers can be used to solve for density functional theory approximations beyond what is currently known.

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Faculty Supervisor:

Thomas Baker

Student:

Partner:

Université de Strasbourg

Discipline:

Physics

Sector:

Education

University:

University of Victoria

Program:

Globalink Research Award

Le rôle de transcendantaux dans la doctrine juridique de Thomas d’Aquin

Le propos de cette thèse est de répondre à la question?: quel est le rôle des transcendantaux dans la doctrine juridique de Thomas d’Aquin. En effet, notre objectif est de bien comprendre comment le bien et le vrai s’articulent dans la formulation du concept de la loi chez l’Aquinate. L’élaboration de cette question a été motivée par l’un des grands défis de la morale contemporaine?: le phénomène des Fake News. Devant ce phénomène, on se rend compte qu’il est difficile de trouver le vrai comme fondement d’un discours juridico-moral dans l’histoire de la philosophie. Si l’on regarde les réflexions des auteurs renommés d’aujourd’hui, comme John Rawls, Martha Nussbaum, Michael J. Sandel, ce qui semble central est la discussion sur le bien (en particulier le bien commun). Dans l’élaboration thomasienne, nous observons que non seulement le bien, mais aussi le vrai a une grande importance pour son discours juridico-moral. Cette perspective nous motive à examiner le rôle du vrai dans la réflexion juridico-morale.

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Faculty Supervisor:

David Piché

Student:

Partner:

University of Fribourg

Discipline:

Sociology

Sector:

Education

University:

Université de Montréal

Program:

Globalink Research Award

Sofvie Analytics Intern

Sofvie is a safe performance platform geared for mining and heavy industry. The goal is to give the tools and insights to all of great decision making and reduce risk/hazards in the workplace. Part of our journey is to offer a great analytical service (PowerBI as a Service). We are looking to have our candidates help us develop the structure and PowerBI support in order to extend our expertise with our clients. Not all clients have access to this level of customized data to make decisions nor do they have the expertise. This is where the future is bright with the Sofvie suite of offerings.

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Faculty Supervisor:

Cheick Ismael Maiga

Student:

Partner:

Sofvie Inc.

Discipline:

Computer science

Sector:

Information and cultural industries

University:

Cambrian College of Applied Arts and Technology

Program:

Business Strategy Internship

Special Needs Digital Service Development

The project, set to unfold over the summer, involves the integration and development of Artificial Intelligence and database systems into the organization’s current IT infrastructure. This initiative aims to usher the organization into the next technological era. The specific focuses include streamlining data access, improving data flow, and enhancing information retrieval. These efforts are intended to initiate the automation of generative processes, as well as to foster insight-driven actions within these organizations. Consequently, this will liberate professionals’ time, allowing them to concentrate on tasks more directly related to the organization’s specific line of work.

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Faculty Supervisor:

David Carriere-Acco

Student:

Partner:

Arvo AI

Discipline:

Computer science

Sector:

Information and cultural industries

University:

McGill University

Program:

Business Strategy Internship

Reinforcement Learning for Micro-Grid Control and Optimization

This project aims at optimizing the use of energy in micro-grids. Reinforcement learning, a branch of artificial intelligence, will be used to reduce the consumption of fossil fuel by better deciding when to charge or discharge batteries. Using reinforcement learning for this automated decision making problem could be interesting as it should allow to handle factors of difficulty that other types of methods struggle to deal with. For example, it should be able to cope with more complex micro-grids, or to better handle uncertainty in the systems predicting the future demand. A key focus of the project is to demonstrate the ability of reinforcement learning to be deployed on real world industrial cases where reliability and respect of industrial standards are critical.

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Faculty Supervisor:

Sarath Chandar Anbil Parthipan;Irina Rish

Student:

Partner:

Institut de Recherche Hydro-Québec;Hydro-Quebec

Discipline:

Computer science

Sector:

Energy and Utilities; Green/Alternative Energy; Artificial Intelligence

University:

Université de Montréal

Program:

Accelerate

How to Market Blockchain Powered Insurance Vehicles in the North American and Bermudian Markets

This project involves hiring an intern at Penrose Partners to develop and execute innovative marketing strategies for a client specializing in integrating digital assets into the insurance sector. The intern will undertake comprehensive market analysis, devise targeted marketing approaches, and produce educational content to enhance the client’s visibility and engagement within the industry. The expected benefit for Penrose Partners is to solidify its position as a leader in blockchain consultancy by effectively supporting its client’s growth and demonstrating its capability to drive innovation and adoption in specialized markets.

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Faculty Supervisor:

Andrew Kirk

Student:

Partner:

Penrose Partners

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

McGill University

Program:

Business Strategy Internship

Programme intelligent de classement tarifaire des marchandises

Notre client gère la classification tarifaire des marchandises pour plusieurs clients. Ce processus, actuellement réalisé de manière manuelle, est à la fois complexe et chronophage, nécessitant une expertise spécifique rare et onéreuse. De plus, la nature manuelle de ce processus augmente le risque d’erreurs humaines, pouvant entraîner des conséquences financières importantes. Des erreurs dans la classification conforme aux normes gouvernementales peuvent, par exemple, aboutir à des sanctions financières significatives pour notre client et ses clients, en relation avec les lois fiscales et les impôts à payer. L’objectif principal de ce projet est de concevoir et livrer une solution logicielle basée sur l’intelligence artificielle, qui vise à réduire la dépendance aux ressources humaines spécialisées dans le processus de classification des transactions. L’ambition est d’atteindre, à terme, une précision supérieure à 85% dans l’analyse et l’interprétation des documents par les algorithmes de l’IA, ainsi que dans la pré-remplissage automatique des formulaires correspondants. Cette solution doit être dotée d’une interface utilisateur à la fois intuitive et facile à utiliser, afin de faciliter son adoption et son utilisation quotidienne par les utilisateurs.

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Faculty Supervisor:

Bang Liu

Student:

Partner:

Algoria Inc.

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Université de Montréal

Program:

Business Strategy Internship

High Efficiency RFIC Power Amplifier

The energy consumption by Radiofrequency Integrated Circuit Power Amplifiers (RFIC PAs) in mobile handsets is a major factor determining the battery life of this equipment. Any increase in the power efficiency of RF PAs will reflect significantly as an increase in the battery life of the portable wireless devices. This work addresses the need to improve the energy efficiency performance by controlling the RF PA section in a fashion that results in the minimum current consumption as a function of the transmitted power level. Although this type of hardware reconfiguration has been proposed in the literature, the techniques proposed so far are activated at discrete power thresholds. The PA reconfiguration that will be implemented in this work will operate continuously over a certain power range, which is expected to improve the overall energy efficiency performance. This will translate into Skyworks Solutions’ RFIC PA components that will be more attractive to the developers of mobile communication equipment

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Faculty Supervisor:

Nicolas Constantin

Student:

Partner:

Skyworks Solutions Inc

Discipline:

Engineering

Sector:

Manufacturing; Professional, scientific and technical services

University:

École de technologie supérieure

Program:

Accelerate

Élucidation des rôles de la voie hippo dans les adaptations physiologies de l’utérus bovin sous l’effet de l’oestrogène et de la progestérone dans un modèle in vitro d’explants utérins bovins

Une bonne compréhension des mécanismes impliqués dans la physiologie utérine normale est essentielle pour améliorer l’efficacité de la reproduction dans la production animale. L’utérus bovin est un organe dynamique dans lequel diverses adaptations morphologiques et physiologiques sont observées tout au long du cycle de l’œstrus, en particulier sous l’effet de la progestérone et des œstrogènes. La voie de signalisation Hippo régule certains processus tels que la prolifération, la différenciation et le destin cellulaire. La dérégulation de cette voie de signalisation conduit au développement de maladies. Notre hypothèse est que la voie Hippo, exprimée dans l’utérus bovin, contribue à la régulation physiologique normale de l’utérus sous l’effet des principales hormones sexuelles. Et qu’un modèle d’explant d’utérus bovin serait une alternative efficace pour étudier ces fonctions. Ce projet est une composante essentielle du programme de recherche du Dr St-Jean, qui vise à mieux comprendre les différentes voies de signalisation qui régulent le fonctionnement de l’utérus bovin. Il s’agira de la première collaboration et du premier échange d’étudiants du Dr Ubiali avec le Canada. Cela lui permettra d’acquérir de nouvelles techniques qui pourraient s’avérer utiles pour de futurs projets de recherche. Et de développer une collaboration avec le Canada.

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Faculty Supervisor:

Guillaume St-Jean

Student:

Partner:

Universidade Federal Rural do Rio de Janeiro

Discipline:

Life Sciences

Sector:

Life Sciences (not health); Health and Related Sciences & Technology

University:

Université de Montréal

Program:

Globalink Research Award

Développer des pratiques innovantes pour le CHUM en intégrant des outils d’automatisation par la robotisation dans la révision de processus d’attribution des rendez-vous en radiologie

Accompagner la réalisation de mandats en amélioration continue par l’intégration d’outils permettant l’automatisation de tâches ou activités dans la planification des rendez-vous dans le secteur de la radiologie.

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Faculty Supervisor:

Matthieu Gruson

Student:

Partner:

Centre hospitalier de l'Université de Montréal

Discipline:

Engineering

Sector:

Agriculture; Health and Related Sciences & Technology

University:

Université du Québec à Montréal

Program:

Business Strategy Internship

Muhaimin Pandhiani – LysisLogic

The proposed project by LysisLogic Scientific Inc. aims to create a strategic blueprint for two of its innovative technologies. This initiative will align scientific research with business strategies to accelerate the technologies’ journey from the lab to the market, based on comprehensive market research that identifies industry trends, opportunities, and growth areas. The outcome will be a detailed business roadmap and strategic recommendations that will make our innovations ready for investment and practical use. These developments will drive growth and maintain our competitiveness in the energy and environment sectors.

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Faculty Supervisor:

Ari Pandes

Student:

Partner:

LysisLogic Scientific Inc.

Discipline:

Business

Sector:

Professional, scientific and technical services

University:

University of Calgary

Program:

Business Strategy Internship

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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.