Innovative Projects Realized

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

31620 Completed Projects

2978
AB
5221
BC
856
MB
696
NL
899
SK
9419
ON
9858
QC
98
PE
619
NB
1192
NS

Projects by Category

Dysfonctions dans la fusion et la fission mitochondriale dans des neurones induits dérivés de fibroblastes de patients atteints de Parkinson idiopathique

La maladie de Parkinson (PD) est un trouble du mouvement associé à l’âge, principalement causé par la mort des cellules dopaminergiques du cerveau. Plus de 90 % des cas de PD sont dit idiopathiques (iPD), c’est-à-dire d’étiologie inconnue. Les causes de la mort des cellules dopaminergiques ne sont pas entièrement comprises. Des éléments indiquent que les mitochondries, les centrales énergétiques de la cellule, seraient impliqués dans le développement de la maladie. Lorsqu’elles sont endommagées, les mitochondries se fragmentent pour que les sections atteintes soient éliminées correctement. Ce processus, nommé fission mitochondriale, semble être dysfonctionnel dans la iPD, et semble contribuer au développement de la maladie. Ce projet vise à étudier les niveaux de fission des mitochondries dans des cellules dopaminergiques converties à partir des fibroblastes de peau de patients atteints de iPD sous différentes conditions. Ce projet permettra de mieux comprendre la contribution des défauts dans la fission mitochondriale au développement de la iPD, et la manière dont ils peuvent être utilisés comme cible thérapeutique pour le développement de médicaments, ainsi que pour une sélection ciblée des patients pour les essais cliniques et la médecine personnalisée.

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Faculty Supervisor:

Janelle Drouin-Ouellet

Student:

Partner:

Université d’Angers

Discipline:

Life Sciences

Sector:

Education

University:

Université de Montréal

Program:

Globalink Research Award

Synthesis of high-quality exfoliated graphene by thermal plasma: A feasibility study

Industries using fossil fuels as their energy source are contributing to global warming as the required energy for their processes is supplied by combusting fossil fuels. CO2, a greenhouse gas, is a products of combustion. Using electricity generated by hydropower as the heat source may eliminate CO2 emission. One of the commercially available electric heaters is the direct-current plasma torch, where the gas is heated to high temperatures. Because air is readily available and free, it is used as the primary plasma forming gas. Although this type of torch does not produce CO2, it produces nitrogen oxides (NOx), considered a pollutant. In this project, a detailed numerical model will be developed to predict NOx formation of DC plasma torch, and address the existing challenges in minimizing the NOx formation at the source, and find the optimum conditions for minimizing NOx emission. The model will be validated experimentally.

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Faculty Supervisor:

Javad Mostaghimi

Student:

Partner:

ZEN Graphene

Discipline:

Engineering

Sector:

Manufacturing; Mining

University:

University of Toronto

Program:

Accelerate

Solid waste management plan for Rosenort and Lowe Farm waste disposal sites

The waste generated in Rosenort and Lowe Farm communities is being unprofessionally disposed in disposal sites. The leachate produced from the waste is also being pumped into the surrounding grasslands and contaminate soil and groundwater. Hazardous waste and used oil are not properly stored, and there is a large volume of waste and mixed materials that are not allowed to be burnt in the burn cells. To address all these issues, landfill sites will be professionally designed, and an operation and maintenance plan will be provided. To manage the leachate, an evaporation leachate pond will be developed. This project can improve waste disposal from both environmental and economic aspects.

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Faculty Supervisor:

Qiuyan Yuan

Student:

Partner:

Rural Municipality of Morris

Discipline:

Engineering

Sector:

Administrative and support, waste management and remediation services

University:

University of Manitoba

Program:

Accelerate

Large Data Visualization in Real Time

A successful computer application can easily have millions of users, but handling the network traffic generated by millions of users is not easy. The server system has to be well designed in order to properly process large, concurrent, and distributed data streams without affecting user experience. In addition, users do not generate data constantly, they often put a burst of load on the network instead. Therefore, the server system needs to be scalable as well. This research project is to find a technique or combination of techniques that makes the server system scalable and capable of handling large scale, highly concurrent, and distributed data streams in order to improve user experience.

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Faculty Supervisor:

Nick Koudas

Student:

Partner:

Streamsix Inc

Discipline:

Computer science

Sector:

Technology; Entertainment and Media; Other

University:

University of Toronto

Program:

Accelerate

Harmonic output power control in non-linear transmission line based RFID system

Current RFID tags process reveals that it is impossible to set the cost per tag to less than 5 cents. Similarly, area is a precious quantity. Much of the area in a tag is used by digital logic and capacitors. Merely adding more area is not a sustainable solution. This project will help the community to decrease the cost per tag to less than 5 cents as expected with much more compactness as compared to available tags.
The partner will benefit from the research by collaborating with one of the top research labs in the field. He will work directly with the intern, an expert in the field, who may be a future job applicant to the company. The partner will also benefit from ownership of the intellectual property created in this collaboration. It will be beneficial for the partner to utilize the developed approach in their future RFID tags design with low cost production technique.

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Faculty Supervisor:

Ke Wu

Student:

Partner:

TandemLaunch Inc

Discipline:

Engineering

Sector:

Information and Communications Technology; Artificial Intelligence; Automotive

University:

Polytechnique Montréal

Program:

Accelerate

Les visages du Platonisme dans la doctrine de l’image de Fichte

Le pre?sent de projet de recherche s’inscrit dans le cadre de ma the?se de doctorat, consacrée, d’une part, à l’influence de l’œuvre de Platon et de certains de ses he?ritiers (Plotin, Maitre Eckhart, etc.) sur la pensée du fondateur de l’idéalisme allemand J.G. Fichte, d’autre part, à la reconfiguration active, et en un sens à la réinvention, du platonisme dans la théorie de l’image et de l’imagination déployée par Fichte. J’ai ainsi pour objectif de coordonner rigoureusement une recherche historiographique sur le « platonisme » fichtéen (sources, réception, influences croisées etc.) et une étude systématique et comparée des e?crits de Fichte permettant une compréhension inédite de la manière dont se repositionne le platonisme en Allemagne au tournant des 18ème et 19ème siècle, impulsant une conception de l’humain comme homo imaginans dont nous n’avons pas fini d’hériter aujourd’hui, et convoquant dans un même élan la théorie de la connaissance, l’éthique et l’anthropologie philosophique.

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Faculty Supervisor:

Augustin Dumont

Student:

Partner:

Université Libre de Bruxelles

Discipline:

Sociology

Sector:

Other

University:

Université de Montréal

Program:

Globalink Research Award

Classification des profils d’attaquants et attribution de l’attaque

La plupart des travaux actuels sur la détection des intrusions se concentre sur la détection et l’analyse des attaques. Peu de travaux ont été réalisés sur l’analyse du comportement des attaquants eux-mêmes. Ce type d’analyse, appelée attribution, est important car il permet de remonter à la source de l’attaque, caractériser l’intention et répondre adéquatement à la menace.
Pour traiter ce problème de l’attribution, il est nécessaire de disposer de données qui permettent d’étudier les comportements des attaquants et de comprendre les différentes stratégies utilisées pour réaliser une cyberattaque. La démarche proposée dans ce projet repose sur l’analyse des données collectées par la technologie Honeybird développée par Thales. Honeybird est un pot de miel (« honeypot » en anglais) à haute interaction. Un pot de miel est une méthode de défense active qui consiste à attirer des adversaires afin de les identifier, de les étudier et éventuellement de les neutraliser.
Les données collectées par Honeybird correspondent à différents types de comportements malveillants qu’il s’agira d’analyser. Le premier sous-projet consistera à construire une classification des profils d’attaquants selon des critères qui seront identifiés au cours du projet.

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Faculty Supervisor:

Frédéric Cuppens;Nora Cuppens-Boullahia

Student:

Partner:

Thales Canada Inc

Discipline:

Computer science

Sector:

Manufacturing; Professional, scientific and technical services

University:

Polytechnique Montréal

Program:

Accelerate

A concurrent and sensitive detection of SARS-CoV-2 and influenza using multi-well microchip technology

The Flu annually causes hundreds of thousand peoples’ death and has brought an enormous loss in Canadian economy. SARS-CoV-2 has strictly reduced the global economic development, and also affected the regular traveling and daily life in Canada. As we know, the influenza and SARS-CoV-2 share the similar symptoms in many aspects. Developing a rapid and accurate diagnostic microchip that can concurrently analyze and distinguish the existence of flu and SARS-CoV-2 in clinical samples is an utmost scientific and public health interest. Intern will assess laboratory virion samples in parallel using standard nucleic acid assays and the multi-well microchip designed by the industrial partner. Our goal is to demonstrate the microchip is suitable for accurate low viral detection and viral type identification.

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Faculty Supervisor:

Sepideh Pakpour

Student:

Partner:

Lumex Instruments Canada

Discipline:

Engineering

Sector:

Manufacturing

University:

The University of British Columbia - Okanagan

Program:

Accelerate

Modular Multilevel Converter-Based Energy Storage Systems for Integration of Large Renewable Resources

Generation and transmission of ultra-large amounts of energy from renewable resources, such as wind and solar PV power, is on the rise globally. This has unprecedented implication on the operation of modern power systems, including challenges with the natural intermittency of renewables resources, stability, and security of the system following naturally occurring abnormalities. This project aims to study these issues using advanced computer modeling methods, and to propose solutions to combat them using large-scale battery energy storage systems. Partnership with Hatch, as a global leader in power systems consulting services, is mutually beneficial to the success of this project. It is expected that the outcomes of this project will immediately benefit the industrial partner in their global consulting services to the utilities that are actively seeking to increase the share of renewables in the generation portfolio.

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Faculty Supervisor:

Shaahin Filizadeh

Student:

Partner:

Hatch Ltd

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Manitoba

Program:

Accelerate

Analyse et dimensionnement du système DVC

La télévision numérique par câble est un système de distribution de programmes de télévision aux abonnés par des câbles coaxiaux ou à fibre optique. Traditionnellement, toutes les chaînes demandées par les groupes de services sont envoyés à chacun des clients à tout moment, même sila plupart d’entre eux ne sont pas accédés. Le système DVC (Diffusion Vidéo Commuté), d’autre part, utilise la bande passante de manière plus efficace en ne transmettant que les chaînes effectivement regardées à un moment donné. L’objectif principal du projet est l’élaboration d’un modèle de dimensionnement efficace qui permet l’utilisation conjointe de systèmes de diffusion «broadcast» et de DVC sur le réseau vidéo COGECO, pour les canaux les plus et les moins populaires, respectivement. Pour atteindre cet objectif, l’étudiant devra d’abord analyser et évaluer la performance de la méthode actuellement utilisée par COGECO pour quantifier la popularité des chaînes. TOBECONT’D

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Faculty Supervisor:

Brunilde Sansò

Student:

Partner:

COGECO

Discipline:

Engineering

Sector:

Information and cultural industries

University:

École Polytechnique de Montréal

Program:

Accelerate

Evaluation of Gene Delivery Methods

This project is aimed at understanding evaluating and reviewing gene therapy methodologies used in products in development, assessing the risk and safety and regulatory investigations in different regions of the world. There is limited guidance and regulatory expertise in this area and current drug candidates are being dealt with on a case-by-case basis by the regulatory authorities under existing international guidelines. The intern will aid in furthering this study with assistance from staff and scientists at Charles River labs. The project will also involve a retrospective analysis of data available at Charles River Laboratories to assess the efficacy of said gene delivery platforms. A review article regarding the aforementioned methodologies will be created toward the end of the investigation.

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Faculty Supervisor:

Elias Georges

Student:

Partner:

Charles River Laboratories

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

McGill University

Program:

Accelerate

Automating query-focused text summarization

The partner organization Croesus aims to provide its customers with a software solution for providing a natural language explanation of fluctuations in investment returns. The proposed research project offers an artificial intelligence-based solution which would provide such an explanation by summarizing financial documents in a way that answers the user’s question. An example of such a summary could look like “X company’s stock dropped on this date because the Y article exposed defects in their product.”

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Faculty Supervisor:

Sylvie Ratté

Student:

Partner:

Croesus

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

École de technologie supérieure

Program:

Accelerate

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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.