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

Optimization of the heat treatment process of largesize forgings of high strength steels- experimentationand modeling

The objective of the present project is to develop the necessary tools for the optimization of the manufacturing of large size forged ingots made of high strength steels used in the transportation and energy industries. The project will analyze all the manufacturing steps including, ingot casting, open die forging and quench & temper steps. For each step, advanced experimental equipment at the hot deformation laboratory at ETS will be used to obtain material laws under working conditions similar to the ones used by the industrial partner. Also, Finite Element Modeling will be used to simulate the industrial conditions by using reliable material data developed at the laboratory scale. Finally, the predictions will be validated at the industrial scale by using Sorel Forge’s facilities.

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Faculty Supervisor:

Mohammad Jahazi

Student:

Partner:

SOREL FORGE

Discipline:

Engineering

Sector:

Manufacturing

University:

École de technologie supérieure

Program:

Accelerate

Machine Learning based Intrusion Detection: Automation and Resilience

Founded in 2011, StreamScan is an organization specialized in computer security operational. The company is composed of several experts in the fields of management security incidents, intrusion detection, security audit, penetration testing, security governance, security breach detection and of artificial intelligence applied to cybersecurity. StreamScan’s expertise is used by many cyber-victimized organizations attacks. Its incident response team has supported several companies to minimize the damage from hackers and ensure that cyber threats are eradicated from the company infrastructure. StreamScan’s advanced detection technology of cyber threats has been selected by the Canadian government as an innovation. StreamScan is developing the new generation of detection systems for SMEs as well as big enterprises. The proposed project aims at improving the AI algorithms developed by StreamScan and their management.

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Faculty Supervisor:

Chamseddine Talhi

Student:

Partner:

StreamScan

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

École de technologie supérieure

Program:

Accelerate

Investigating the electronic structure of 4d transition metal oxides

Investigation of exotic electronic phenomena is at the forefront of scientific research in quantum materials, one of the key building blocks for the development of quantum technologies and industry. Here, we propose a project that is aimed at discovering and studying new electronic phases brought about from the interplay of various energy scales, coming from electronic correlations, structural elements of the materials, and spin-orbit coupling. We will perform leading research on the electronic structures of quantum materials based on 4d transition metals, focusing on perovskite ruthenates, arguably one of the riches sources of exotic electronic phenomena. During the project, we will also develop and upgrade the Quantum Materials Spectroscopy Centre (QMSC) beamline of the Canadian Light Source (CLS) synchrotron facility which will give the regular users more advanced experimental capabilities, and support users during their experiments at the beamline.

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Faculty Supervisor:

Andrea Damascelli

Student:

Partner:

Canadian Light Source

Discipline:

Physics

Sector:

Arts, entertainment and recreation; Education; Professional, scientific and technical services

University:

The University of British Columbia

Program:

Accelerate

Developing custom piezoelectric phase modulators to enhance the performance of ultrahigh-resolution photonic integrated circuit optical gyroscopes

Modern vehicles demand compact, lightweight, and high performing gyroscopes to accurately track their orientation and motion in real time. Traditional optical gyroscopes based on lasers and fiber optics offer exceptional performance, but are too large, heavy, and expensive for compact vehicles like unmanned drones. Compact, lightweight, and inexpensive micromechanical gyroscopes suitable for cell phones perform too poorly for vehicles like aircraft. OSCPS Motion Sensing Inc. is developing a compact, lightweight, inexpensive, and high performing photonic integrated circuit (PIC) gyroscope. A phase modulator is essential for this PIC gyroscope, to enhance its sensitivity. The traditional thermal approach to phase modulators is slow and energy inefficient. To achieve rapid and energy efficient phase modulation, a custom piezoelectric phase modulator shall be created. Advanced modelling and simulating software will help optimize designs that shall be fabricated and tested. This phase modulator shall be an essential component in OSCPS Motion Sensing Inc.’s PIC gyroscopes.

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Faculty Supervisor:

Odile Liboiron-Ladouceur

Student:

Partner:

OSCPS Motion Sensing Inc.

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

McGill University

Program:

Accelerate

Rubans supraconducteurs à fort courant critique et à robustesse améliorée

Le projet a pour but ultime de développer un procédé de fabrication à grande échelle de rubans supraconducteurs avec une robustesse améliorée. Il est attendu que ces rubans supraconducteurs pourront être utilisés dans une multitude d’applications
en énergie, médical et recherche fondamentale. Par exemple, ces rubans supraconducteurs seront utilisés pour construire des aimants supraconducteurs très puissants permettant de fabriquer des centrales à fusion nucléaire pour produire de l’énergie
propre sans générer de déchets radioactifs. Également, il est attendu que ces rubans seront une composte essentielle pour l’électrification des avions.

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Faculty Supervisor:

Frederic Sirois;Frédéric Sirois

Student:

Partner:

Conducteurs Boréal Inc.

Discipline:

Engineering

Sector:

Manufacturing

University:

Polytechnique Montréal

Program:

Accelerate

Torngats-Apox : Détection automatique de défauts de ponts et barrages par l’analyse des images infrarouges à l’aide de l’intelligence artificielle

La détection des défauts sur des images de thermographie infrarouge est considérée une tâche difficile et coûteuse en raison de la mauvaise qualité des images, du temps consacré à la présélection et prétraitement des images, la disponibilité d’experts et les faibles performances des méthodes semi-automatiques.
Torngats, entreprise québécoise spécialisée dans les essais et évaluations non destructifs avancés, a développé en trois phases l’inspection par thermographie de ponts et barrages. Premièrement, les drones sont utilisés pour la captation de milliers d’images infrarouges. Ensuite, les experts feront une présélection des images plus informatives au niveau des défauts potentiels, et finalement dans la dernière phase, une analyse plus poussée ciblera les défauts dans les structures. Le temps consacré à la deuxième phase de présélection est souvent de l’ordre du 50% de l’analyse totale.
Pour Torngats, l’hypothèse de base est que le développement de l’interface intelligente d’étiquetage et présélection d’images d’inspection réduira de 80% les coûts d’inspection, avec une réduction estimée de 75% du temps de traitement de données et interprétation. Cela donnera un avantage compétitif dans le marché grâce à ce type d’innovation ciblée déjà comme un des piliers pour le virage industriel 4.0.

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Faculty Supervisor:

Christian Gagné;Xavier Maldague

Student:

Partner:

TORNGATS Technical Services Inc

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Université Laval

Program:

Accelerate

Ensemble de recettes réseau pour les services IAAS

L’infonuagique, et précisément la nouvelle génération de centre de données requièrent une nouvelle infrastructure réseau basée sur la virtualisation. Un des principaux services de l’infonuagique est le Service dit IaaS (Infrastructure as a service) nécessitant le déploiement de centre de données virtuelles offrant la possibilité d’être administrés des entités différentes (Multi-tenants). Les solutions actuelles de déploiement de centres de données virtuelles restent limitées du à l’incapacité du réseau d’être sous un contrôle partagé. Ce projet vise à développer un ensemble d’outils basés sur des recettes réseau pour la configuration des switchs et des routeurs pour supporter les services des centres de données virtuelles

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Faculty Supervisor:

Omar Cherkaoui

Student:

Partner:

Enovance

Discipline:

Computer science

Sector:

Information and Communications Technology

University:

Université du Québec à Montréal

Program:

Accelerate

Pour une approche contextuelle des services de soutien des entrepreneurs issus de la diversité au Québec

Bien qu’un nombre grandissant d’acteurs de l’écosystème entrepreneurial au Québec tentent de mettre en place les ressources nécessaires afin de promouvoir l’entrepreneuriat, l’état actuel des connaissances sur les stratégies adéquates pour accompagner les entrepreneur.e.s issu.e.s de la diversité, se montre fort limité. Basée sur une approche contextuelle des services de soutien combinant le contexte, les stratégies de soutien et la performance des entreprises, la présente recherche vise, ainsi à apporter un éclairage sur certaines pratiques d’accompagnement et de soutien favorables à l’entrepreneuriat inclusif. La présente étude permettra de mettre en lumière les meilleures stratégies menant à la réussite de l’accompagnement entrepreneurial qui prend en considération le contexte et les besoins des entrepreneur.e.s issu.e.s de la diversité.

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Faculty Supervisor:

Luis Cisneros

Student:

Partner:

Réseau Mentorat

Discipline:

Business

Sector:

Other services (except public administration); Public administration

University:

HEC Montréal

Program:

Accelerate

Application of Imaging to Assess Structural Disorders in Dairy Cows

The agricultural industry is adopting new technologies in many practices, including automation of routine practices such as milking in dairy or harvesting fruits. These innovations require the development of sophisticated machines and image processing algorithms associated with. This proposed project aims to develop the technology that allows design of a machine and associated algorithms to assess livestock for morphological traits. This innovation allows the farmers to evaluate their animals morphological traits more frequently and on their own.

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Faculty Supervisor:

David Nobes;Reza Sabbagh

Student:

Partner:

iClassifier Inc.

Discipline:

Engineering

Sector:

Agriculture

University:

University of Alberta

Program:

Accelerate

Marine Fog: Modelling and Forecasting

Fog, by definition, occurs when visibility is lower than 1 km. The initiation, development and decay of fog can involve many physical processes and reliable modelling and accurate prediction of occurrence, vertical distribution and visibility limitations are an ongoing challenge. Wood Environmental & Infrastructure (Wood), provide offshore fog forecasts for oil platforms over the Grand Banks. Wood and York University (York) have collaborated on fog studies with the Weather Research and Forecasting (WRF) model. This model is used world-wide by laboratories, universities and companies. Both Wood and York are collaborators in the upcoming FATIMA (Fog and turbulence interactions in the marine atmosphere) field program in summer 2022. One of the components of that international program is to collect fog data on Sable Island and over the Grand Banks. This will be an excellent opportunity to evaluate our model performance and to improve it using the data collected.

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Faculty Supervisor:

Yongsheng Chen;Peter A Taylor

Student:

Partner:

Wood Environment & Infrastructure Solutions, Canada Limited

Discipline:

Physics

Sector:

Professional, scientific and technical services

University:

York University

Program:

Accelerate

Understanding Energy Use in Comminution

This project will be used to assist the mining industry in predicting the best possible practices for designing and operating mines. By developing an understand of how comminution tests represent the machinery we can predict what is required to breakdown the raw rocks from the ground into valuable products we can make mining both more economical and more environmentally sustainable. The benefits of the economic improvements for mining will allow us to continue to have access to all our amenities from cars to phones to our home appliances all while keeping costs as low as possible to the consumer. By selecting the most economical approaches we will also reduce unnecessary overuse of mining equipment which is slowly worn down by wear and tare in the harsh mine site environment reducing waste and saving energy by removing the need to constantly replace this equipment.

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Faculty Supervisor:

Erin R Bobicki

Student:

Partner:

Sepro Mineral Systems

Discipline:

Engineering

Sector:

Mining

University:

University of Alberta

Program:

Accelerate

Hydrogéologie et conservation des milieux humides

Le projet hydrogéologie et conservation des milieux humides est un projet de thèse visant à mieux comprendre les échanges entre les eaux souterraines et les milieux humides dans la vallée du Saint-Laurent. Souvent négligés, ces échanges, indispensables pour la pérennité des milieux humide, sont au coeur des préoccupations des spécialistes du territoire (organismes de conservation, organismes de basin versant, compagnies de consultation hydrogéologique). Cette recherche permettra de développer des connaissances permettant aux spécialistes de poser des gestes concrets pour l’environnement. Par exemple, ces nouvelles connaissances permettront aux agences de conservation de développer des plans de conservation des milieux humides. Pour les organismes de basin versant, l’information hydrogéologique entourant les milieux humides leur permettra d’intégrer les milieux dans leur plan de gestion de basin versant. Et finalement, pour Richelieu Hydrogéologie inc, ce stage représente une opportunité inégalée pour bâtir une expertise québécoise à long terme entourant le suivie environnementale hydrogéologique des milieux humides.

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Faculty Supervisor:

Marie Larocque

Student:

Partner:

La Société canadienne pour la conservation de la nature;Richelieu Hydrogéologie

Discipline:

Earth science

Sector:

Professional, scientific and technical services

University:

Université du Québec à Montréal

Program:

Accelerate

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