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
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812
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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

Ontario Provincial Police School Resource Officer Program Review

The study aims to address the call for police reform and removal of police officers from schools by examining the Ontario Provincial Police (OPP) School Resource Officer Program and its interactions with youth. The research seeks to explore whether police officers should be present in schools, and if so, to what degree, in what circumstances, and with what objectives in mind. The student is going to perform in the role of co-athor on a peer-reviewed journal, the second interim report to the OPP, and participate in a presentation to the Commissioner of the OPP Command Team (August 10).

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Faculty Supervisor:

Jennifer L. Schulenberg

Student:

Partner:

National University of Kyiv-Mohyla Academy

Discipline:

Sociology

Sector:

Public Service, Policy, and Governance; Education; Life Sciences (not health)

University:

University of Waterloo

Program:

Globalink Research Award

Towards an improved representation of potential evapotranspiration for oil sands reclamation and monitoring projects

Potential Evapotranspiration (PET) is an important input variable for hydrological models, however, accurately estimating it can be costly. Several simplified models exist for estimating PET, however, their accuracy depends on the quality of input data, assumptions, and land type. For the various oil sands reclamation and monitoring projects, a wide range of estimations currently exist. The purpose of this research is to utilize existing field data from Suncor projects to assess the effectiveness of several generalized approaches for calculating PET and assessing how they compare to field-measured values. The results generated in this proposed study will provide recommendations on how to establish standards for generating accurate PET measurements across monitoring and reclamation projects.

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Faculty Supervisor:

Richard Petrone

Student:

Partner:

Hatfield Consultants

Discipline:

Earth science

Sector:

Professional, scientific and technical services

University:

University of Waterloo

Program:

Accelerate

Advanced investigation of amphoteric reagent-based cyclization of peptides

Encycle Therapeutics is a Toronto-based company that develops new therapeutics for the treatment of autoimmune diseases. Our competitive edge derives from a platform technology that allows for the more efficient synthesis of macrocycle- (ringlike peptides) based therapeutics. This platform involves a proprietary reagent called aziridine aldehyde. This new technique has demonstrated significant potential for the synthesis of macrocycles, however the full utility and versatility as it applies to the development of drug-like compounds has not been fully researched. The proposed Mitacs internship will allow a skilled synthetic organic chemist, Dr. Sai Kumar Chakka, who is currently a postdoctoral fellow in the laboratory of Dr. Andrei Yudin at the University of Toronto, to closely investigate the synthetic method over an eight month period. This work will allow the company to better apply its technology, and therefore create better therapeutics, faster, which can significantly enhance the quality of life for sufferers of inflammatory bowel disease, lupus and other illneses. It will also better position the company to attract strategic partnership with full-scale pharmaceutical companies and investment from foreign venture capitalists.

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Faculty Supervisor:

Aaron Wheeler

Student:

Partner:

Encycle Therapeautics;Quebec Consortium for Drug Discovery (Montreal, QC)

Discipline:

Life Sciences

Sector:

Manufacturing; Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Voice-to-Text & Text-to-3D Content Pipeline in Virtual Reality using Unity

This research project aims to create a system that allows users to communicate with a virtual environment using their voice. The system will convert the user’s voice commands into text and use natural language processing techniques to understand the user’s intent. Then, the system will generate 3D content based on the identified intent using AI models. Finally, the system will integrate with the Unity engine, allowing users to manipulate the 3D content in a virtual reality environment using their voice. The expected outcomes of this project are a pipeline that enables users to interact with virtual environments using their voice, as well as an understanding of the human-AI integration in the context of virtual reality. The project will also provide valuable experience in the VR/AR/MR Metaverse.

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Faculty Supervisor:

Michael Barnett-Cowan

Student:

Partner:

National Technical University of Ukraine

Discipline:

Computer science

Sector:

Health and Related Sciences & Technology; Artificial Intelligence; Entertainment and Media

University:

University of Waterloo

Program:

Globalink Research Award

Classification of Lane changing behavior from trajectory data using self-supervised learning method

This project seeks to develop a system to accurately identify car-following (CF) and lane-changing (LC) behaviors using trajectory data from the pNEUMA dataset, an urban trajectory dataset collected from drones. Previous methods relied on fixed thresholding or manual labeling to separate the phases of a vehicle’s trajectory (CF or LC), which can be time-consuming and less accurate. We aim to develop a generalizable and accurate model that automatically identifies different phases of car-following and lane-changing behavior without requiring manual labeling. To achieve our goal, we will employ a self-supervised learning method that involves training an auto-encoder on the dataset to capture underlying patterns and features without manual labeling to classify different behaviors. The system will be evaluated on the pNEUMA dataset, expecting high accuracy in behavior identification. We expect the results to demonstrate the effectiveness of self-supervised learning in classifying complex driving behaviors. The proposed method can be further used in transportation planning, driver assistance systems, and autonomous vehicles in urban environments.

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Faculty Supervisor:

Lijun Sun

Student:

Partner:

École polytechnique fédérale de Lausanne

Discipline:

Engineering

Sector:

Education

University:

McGill University

Program:

Globalink Research Award

Russian Nuclear Threats: Deterrence or Blackmail

The research project aims to study the way international laws and politics govern the reaction to nuclear threats in the ongoing Russia-Ukraine War. This study aims to investigate the legal and political frameworks in place to deal with the nuclear danger in Ukraine, including international agreements such as the Nuclear Non-Proliferation Treaty or the Treaty on the Prohibition of Nuclear Weapons. It will also explore the role of organizations like the United Nations in responding to the Russian threats to use nuclear weapons.
The expected outcome of this research project is to gain a better understanding of the international laws and political frameworks governing the response to nuclear threats, which can help in mitigating the risks of nuclear war and enhancing global security.

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Faculty Supervisor:

Alexander Lanoszka

Student:

Partner:

National University of Kyiv-Mohyla Academy

Discipline:

Sociology

Sector:

Public Service, Policy, and Governance; Education; Other

University:

University of Waterloo

Program:

Globalink Research Award

Prédiction des bactéries hôtes de phages grâce à l’analyse des profils de méthylation de génomes bactériens et viraux par apprentissage automatique.

L’objectif général du projet est le développement d’outils de prédiction des bactéries hôtes des phages par apprentissage automatique. Le premier objectif consistera à développer un prédicteur reposant sur les profils de méthylation dans les séquences métagénomiques bactériennes et virales, grâce à des réseaux de neurones avec des mécanismes d’attention, et des prédicteurs de similarité basés sur des ‘string kernels’. Chez les bactéries, la méthylation de l’ADN protège les cellules bactériennes de l’ADN envahissant. Il existerait cependant un nombre substantiel de génomes viraux méthylés par leur bactérie hôte, et donc partageant les mêmes profils de méthylation. Grâce à l’entraînement des algorithmes d’apprentissage automatique, nous espérons ainsi prédire les bactéries hôtes de phages. Le deuxième objectif sera de combiner, à partir d’un algorithme multi-vues, ce prédicteur à celui précédemment développé par l’étudiante, basé sur les données CRISPR (clustered regularly interspaced short palindromic repeats), dans un prédicteur global dans le but d’obtenir de meilleures prédictions basées sur une diversité d’informations.

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Faculty Supervisor:

Elsa Rousseau

Student:

Partner:

Université Grenoble Alpes

Discipline:

Computer science

Sector:

Education

University:

Université Laval

Program:

Globalink Research Award

Étude d’un système de reconnaissance professionnelle en évaluation environnementale (SRP)

Ce projet de recherche vise à mieux comprendre, d’une part, les besoins en compétences, savoirs et connaissances pour réaliser des études d’impacts et pour les réviser, et, d’autre part, l’offre de formation existante au Québec dans le domaine de l’évaluation environnementale.
La mission de l’organisation partenaire (AQÉI) est d’outiller le mieux possible ses membres dans le domaine des études d’impacts, notamment en offrant des services de formation continue.
Le travail réalisé dans le cadre du stage renforce l’accomplissement de cette mission. Il appuie les travaux d’un comité de l’AQÉI, formé de représentant·e·s des gouvernements provincial et fédéral, d’universités, des bureaux de génie conseil réalisant des études d’impacts et d’ONG représentant la société civile. Ce comité doit identifier en 2023, les besoins en compétences et la nature d’une formation continue à partager entre les institutions québécoises œuvrant dans le domaine de l’évaluation environnementale.

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Faculty Supervisor:

Jean Cadieux;Jean-Philippe Waaub

Student:

Partner:

Association Québécoise pour l’évaluation d’impacts

Discipline:

Sociology

Sector:

Other services (except public administration)

University:

Université de Sherbrooke

Program:

Accelerate

Vers des meilleures pratiques d’accessibilité universelle dans le contexte municipal de la Ville de Québec

Dans la région de la Capitale-Nationale, on peut compter une proportion de 14,9% de personnes ayants des incapacités. En 2010, la Ville de Québec publiait sa 2e édition du Guide pratique en accessibilité universelle. Depuis, les meilleures pratiques en matière d’accessibilité ainsi que les connaissances sur le(s) handicap(s) se sont précisées. L’Office des personnes handicapée du Québec, en continuité avec la politique À part entière, souligne l’importance d’actualiser, diffuser et mettre en œuvre les meilleures pratiques pour soutenir l’autonomie des personnes ayant des incapacités (PAI) motrices, intellectuelle ou invisible. Rassemblés par ce désir commun, l’équipe de recherche Participation sociale et villes inclusives et la Ville de Québec s’associent afin de proposer le présent stage de recherche pour mettre à jour le guide pratique d’accessibilité universelle de la Ville de Québec. L’étude permettra d’améliorer les outils de la municipalité en matière d’accessibilité universelle et de participation sociale sur son territoire urbain.

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Faculty Supervisor:

François Routhier

Student:

Partner:

Ville de Québec

Discipline:

Sociology

Sector:

Administrative and support, waste management and remediation services; Public administration; Utilities

University:

Université Laval

Program:

Accelerate

Hydrogen production via inductively heated methane pyrolysis

The pyrolysis of methane offers the potential for an affordable and clean route to hydrogen production. The reaction is endothermic and requires energy input, which must be provided without emissions if the process is to be CO2-free. One option is to use electricity provided from clean sources. Resistive heaters are challenged by low heat flux and high costs. The novel approach that will be investigated here is to use inductive heating with metal catalysts to provide the reaction energy using electricity.

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Faculty Supervisor:

David (Chester) Upham

Student:

Partner:

Mercer International

Discipline:

Engineering

Sector:

Natural Gas; Energy and Utilities; Clean Technology

University:

The University of British Columbia

Program:

Accelerate

Cloud-Based Image Processing for Real-Time Robotics in Manufacturing

The goal of this project is to explore how cloud-based processing of image data can be utilized in real-time robotics applications, specifically in advanced object tracking. The challenge is to balance the need for considerable computing resources with the cost of deploying such resources with each robot arm. This is where cloud-based processing offers a potential solution, albeit with additional latencies that can impact the overall system performance. The intended applications of this research lie in advanced manufacturing and reconfigurable production systems. The primary objective is to evaluate how latency in detection and data transfer affects the robustness of the developed system, with the aim of improving its overall efficiency and effectiveness.

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Faculty Supervisor:

William Melek

Student:

Partner:

National University of Kharkiv

Discipline:

Computer science

Sector:

Manufacturing and Construction; Automotive; Advanced Manufacturing

University:

University of Waterloo

Program:

Globalink Research Award

Analyse et intégration du flux auxiliaire de refroidissement d’une turbine céramique renversée

Les turbines renversées en céramique sont développées dans le but de réduire la consommation énergétique des avions et autres plateformes aériennes. Pour améliorer leur efficacité, il est important de comprendre comment refroidir adéquatement l’anneau de composite structurel. Cette recherche vise à comprendre comment le refroidissement affecte les performances de la turbine. Les participants vont alors utiliser des modèles numériques pour étudier comment le refroidissement fonctionne et comment il peut être amélioré. L’objectif est d’obtenir la compréhension et l’expertise pour concevoir une nouvelle génération de turbines renversées plus efficaces.

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Faculty Supervisor:

David Rancourt

Student:

Partner:

Exonetik Inc

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Université de Sherbrooke

Program:

Accelerate

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