Innovative Projects Realized

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

29670 Completed Projects

2811
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4990
BC
801
MB
663
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825
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8841
ON
9197
QC
95
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568
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1088
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Projects by Category

Transforming Experiences into Solutions: A Multiphase Interdisciplinary Study on Recruitment and Retention of Women in Saskatchewan Engineering and Mining

Currently in the Canadian mining industry, approximately 16% of roles are filled by women. Furthermore, the mining industry is facing a future labour shortage as a significant proportion of its current workforce is approaching the age of retirement. Underrepresented groups, such as women, can help to fill these projected labour gaps and aid in solving challenges the industry faces, such as digital transformation and sustainable development. However, systemic and culture barriers have prevented women, in particular, from being better represented in the mining industry.
In response, this IMII-funded study will bring together industry and academic research focus which transform the experiences of men and women in the Saskatchewan mining industry into practical solutions which address barriers faced by under-represented groups. The ultimate goal of this work is put recommendations into action to shift Saskatchewan mining and minerals workplaces to be inclusive and diverse workplaces.

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Faculty Supervisor:

Jeanie Wills;John Moffatt

Student:

Partner:

International Minerals Innovation Institute

Discipline:

Sociology

Sector:

Mining; Professional, scientific and technical services

University:

University of Saskatchewan

Program:

Accelerate

Élaboration d’un modèle à base de clustering pour l’amélioration de la gestion et de la planification des livraisons

Le projet relève le défi d’assurer une planification optimale des livraisons à travers une autre approche plus flexible visant dans un premier lieu le partitionnement des clients dans des groupes en se basant sur la valorisation des données disponibles, et dans un deuxième lieu la génération et l’affectation des tournées aux véhicules en répondant aux différentes contraintes : contraintes propres aux clients, contraintes relatives aux véhicules, contraintes imposées par le business .Ce travail aura comme retombée directe la réduction du temps nécessaire pour l’élaboration d’un plan de livraisons, et aussi la minimisation du coût logistique, et comme retombée indirecte l’ajout de plus de flexibilité sur la gestion des livraisons.

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Faculty Supervisor:

Issmail El Hallaoui;Loubna Benabbou

Student:

Partner:

Clear Destination

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Polytechnique Montréal

Program:

Accelerate

Model-Based Security Compliance-By-Design for Low-Earth Orbit Satellite Operations Segments

Low-earth orbit (LEO) satellite constellations require high levels of security and resilience to provide high quality, reliable and trustworthy global connectivity services to customers. For these systems to develop customer trust and find widespread use, developers must demonstrate compliance to a variety of security standards, policies, and regulations. However, because these systems are very large and complex, it is difficult to clearly and effectively show how the system satisfies all of its compliance requirements throughout its development lifetime. In this project, we aim to develop an architecture and design framework for the operations segment of the Telesat LEO satellite constellation. The operations segment is responsible for connecting the overall LEO system by directing the other system components cooperate to deliver the service. The framework seeks to support security compliance-by-design and help developers trace security compliance requirements to the design of the operations segment so that they can easily show where and how such requirements are satisfied. This support can provide a competitive advantage and help solidify Telesat’s position as a Canadian leader in LEO satellite communications.

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Faculty Supervisor:

Jason Jaskolka

Student:

Partner:

Telesat Canada (Ottawa, ON)

Discipline:

Engineering

Sector:

Information and cultural industries

University:

Carleton University

Program:

Accelerate

Fly-By-Wire INDI-Based Generic Control Laws for Flexible Civil Transport Aircraft: Enhanced Verification

New generation of civil transport aircraft presents interaction between flight mechanics and structural dynamics. Innovative CLaws have been developed to address this issue. They need to be verified thoroughly by high-fidelity simulations. For a research and development project, the traditional industrial verification process is too demanding and would be too time consuming. Indeed, each high-fidelity simulation is very slow. Thus, the present project will investigate emerging optimization-based verification techniques that can advance the assessment and verification of the new CLaws while minimizing the number of required simulations. This allows progress on the verification of the new CLaws and benefit to Bombardier and the Canadian Industry by acquiring advance assessment and verification capabilities that can strongly cut the cost of verification while improving safety by tracking more accurately the worst cases of stability and performance.

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Faculty Supervisor:

David Alexandre Saussié

Student:

Partner:

Bombardier Inc

Discipline:

Engineering

Sector:

Manufacturing; Transportation and warehousing

University:

Polytechnique Montréal

Program:

Accelerate

Millimeter-Wave Photonic Component Packaging and Interconnect

With the increasing demand for data rates in modern high-speed links come new requirements for the simulation environments that are used for their design. With optical modulator now achieving beyond-100-GHz large-signal modulation bandwidth in hybrid silicon photonics, the main challenges that such systems are currently facing is the lack of efficient interconnects to interface with the outside world. These interconnects are designed and optimized using full-wave simulations. This process is however very slow, requiring several full-wave simulations, and can lead to sub-optimal results if a local minimum is reached. The global objective of the project is to develop our understanding of wideband interconnect (100+ GHz). To achieve that we will develop simple models for wideband interconnect to predict their performances. We will also derive design rules to help developers optimize more efficiently high-speed interconnects. The model and the design rules will be validated with measurements.

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Faculty Supervisor:

Dominic Deslandes

Student:

Partner:

Ciena Corporation (St-Laurent, QC)

Discipline:

Engineering

Sector:

Information and Communications Technology; Technology

University:

École de technologie supérieure

Program:

Accelerate

L’initiative collective Mauricie Récolte entre agriculteurs, bénévoles et organismes régionaux afin de valoriser le glanage comme activité sociale, durable et de loisir : quel rôle possède la dimension géographique dans les facteurs de collaboration pour innover?

Afin de lutter contre l’insécurité alimentaire, plusieurs groupes d’acteurs-citoyens sont en train de se mobiliser pour récolter les « fonds de champs. Au Québec, Mauricie Récolte, issu du regroupement initial du projet Maski récolte et Des chenaux récolte, a mis en contact les producteurs, les cueilleurs et les organismes communautaires pour développer un projet de glanage depuis 2018. Fort de son succès, un processus de régionalisation s’est imposé peu à peu. Considérant ces développements et la nécessité de structurer l’initiative, une réflexion s’impose afin de documenter le rôle de la proximité géographique dans le succès de Mauricie récolte pour informer les autres organisations désireuses de s’inspirer de ce projet pour leur territoire. L’objectif général du projet est de rédiger un guide d’implantation et d’indicateurs fondé sur la proximité, destiné aux organisations désireuses de s’inspirer de ce projet pour leur territoire. Pour y parvenir, on procèdera à (1) une analyse de littérature (l’inventaire du rôle de la proximité géographique dans d’autres expériences au Québec et dans le monde), (2) des entrevues ouvertes des acteurs clés où apparaitront (ou pas) les facteurs de proximité (n=14) et des groupes d’acteurs mobilisés (bénévoles, organismes et agriculteurs) avec trois focus groupes TOBECONT.

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Faculty Supervisor:

Cécile Fonrouge;Aude Porcedda

Student:

Partner:

Municipalité régionale de comté de Maskinongé

Discipline:

Sociology

Sector:

Public administration

University:

Université du Québec à Trois-Rivières

Program:

Accelerate

Anomaly detection and action recognition for mobile cameras

In this project we want to develop a few AI algorithms for the security and public health monitoring applications that can be implemented on a mobile camera. This camera can be either mounted on the autonomous mobile robot or on the wearable devices that security guards are equipped with. This project is aiming to solve the following challenges: understanding the location of the camera based on the footage, anomaly detection, and action recognition. These goals can be achieved through a combination of deep learning, traditional computer vision, and machine learning methods. This understanding can help the security guard or mobile robot in performing the patrolling missions by increasing the response time and improving the consistency and quality of the reports. Currently, most of the research, and a large portion of the datasets are focused on the action recognition and anomaly detection of the stationary camera footages. In this research we want to specifically solve these problems for mobile camera footage.

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Faculty Supervisor:

Mo Chen

Student:

Partner:

Tellext

Discipline:

Computer science

Sector:

Manufacturing

University:

Simon Fraser University

Program:

Accelerate

Advanced Crowdsourced Market Research and Reporting Using Machine Learning and Data Mining Techniques

Chaordix is a company that develops crowdsourcing solutions for a variety of clients in industry, universities and governments. In early 2009, it launched a commercial managed services platform for crowdsourcing, called Chaordix, which has firmly established the company as a crowdsourcing pioneer. At this point in time Chaordix provides a global standard in crowdsourced market intelligence. It works with a number of clients around the world (Orange, IBM, World Wildlife Fund, P&G, University of Oxford, American Airlines, Genius Crowds, etc.).

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Faculty Supervisor:

Jon Rokne

Student:

Partner:

Chaordix

Discipline:

Computer science

Sector:

Information and cultural industries

University:

University of Calgary

Program:

Accelerate

Real-time Bus Routing and Traffic Prediction Via Machine Learning-based Methods – Year Two

With the development of advance telecommunication systems, new opportunities for real-time public transport monitoring has been created. Traffic congestion in the vehicular ad-hoc network can be typically caused by an accident, construction zones, special events, and adverse weather. This research presents a cognitive framework to address real-time routing problem and and arrival time prediction for bus system using a machine learning method. First we build and analysis a dataset comprises several individual bus trips that contains the arrival time, the bus identifier, bus direction and speed. In order to collect data on the state of traffic, we employ the information of deployed sensors, including metering stations, on certain strategic road segments allowing to distinguish cars from buses and to quantify the traffic. This set provides a real-time data flow of the sensors deployed on the network. Secondly, we extract most important features using Linear Discriminant Analysis to reduce the number of features in our data set. Finally, we propose a solution and compare with baseline machine learning algorithms to find the best routs for buses system with the objective of minimizing the passengers waiting time, the operating expense and capital costs, and carbon footprint cause by traffic jam.

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Faculty Supervisor:

Gabriela Nicolescu

Student:

Partner:

BusPas Inc.

Discipline:

Computer science

Sector:

Transportation (excluding aerospace); Information and Communications Technology

University:

Polytechnique Montréal

Program:

Elevate

Real-time Bus Routing and Traffic Prediction Via Machine Learning-based Methods

With the development of advance telecommunication systems, new opportunities for real-time public transport monitoring has been created. Traffic congestion in the vehicular ad-hoc network can be typically caused by an accident, construction zones, special events, and adverse weather. This research presents a cognitive framework to address real-time routing problem and and arrival time prediction for bus system using a machine learning method. First we build and analysis a dataset comprises several individual bus trips that contains the arrival time, the bus identifier, bus direction and speed. In order to collect data on the state of traffic, we employ the information of deployed sensors, including metering stations, on certain strategic road segments allowing to distinguish cars from buses and to quantify the traffic. This set provides a real-time data flow of the sensors deployed on the network. Secondly, we extract most important features using Linear Discriminant Analysis to reduce the number of features in our data set. Finally, we propose a solution and compare with baseline machine learning algorithms to find the best routs for buses system with the objective of minimizing the passengers waiting time, the operating expense and capital costs, and carbon footprint cause by traffic jam.

View Full Project Description
Faculty Supervisor:

Gabriela Nicolescu

Student:

Partner:

BusPas Inc.

Discipline:

Computer science

Sector:

Transportation (excluding aerospace); Information and Communications Technology

University:

Polytechnique Montréal

Program:

Elevate

Application de la technologie LIBS pour la caractérisation élémentaire et minéralogique de lithologies représentatives des cratons précambriens

L’industrie minérale a besoin de nouvelles méthodes et d’outils pour relever les défis que représente la diminution des réserves minérales et l’augmentation des coûts d’exploration et d’exploitation. La spectroscopie laser plasma (LIBS – Laser-Induced Breakdown Spectroscopy) est un outil géoanalytique émergent qui offre une suite unique d’avantages pour l’industrie minérale. La LIBS peut fournir une analyse compositionnelle rapide, in situ et une imagerie à haute résolution en laboratoire et sur le terrain. Des spectres des phases minérales pures de référence seront acquis avec la LIBS et serviront à la construction de la base de données. Un algorithme de reconnaissance spectral permettra d’identifier les minéraux dans les échantillons du projet Hammond Reef. La complémentarité de l’équipe de recherche combinera les expertises en minéralogie du domaine minier à celles de l’instrumentation unique de la LIBS développée par ELEMISSION. L’instrument CORIOSITY pourra être déployé dans le milieu minier que ce soit dans les étapes de cartographie, d’échantillonnage de la minéralisation dans les programmes d’exploration ou d’exploitation du minerai.

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Faculty Supervisor:

Marc Constantin

Student:

Partner:

Groupe MISA;ELEMISSION

Discipline:

Earth science

Sector:

Manufacturing; Mining; Professional, scientific and technical services

University:

Université Laval

Program:

Accelerate

Ultra-high-quality optical coatings fabricated using plasma-assisted reactive magnetron sputtering

The proposed project is a collaboration between the Bradley research group at McMaster University and Intlvac, located in Halton Hills, ON, on the development of novel deposition methods and thin film materials for high performance optical coatings. Intlvac has a long history of developing state of the art deposition systems for coatings and thin films, in research and industrial applications. The Bradley group has extensive experience in thin film deposition and development of high optical quality materials for microphotonic devices. Intlvac is seeking to advance complex multilayer optical coatings technology and ultra-high-quality dielectric films, which will lead to economic growth and highly qualified personnel (HQP) training in this growing sector in Canada. The intern will work at both Intlvac and McMaster University to develop deposition techniques and applications for Intlvac and use the extensive optical and material characterization equipment available in the Bradley lab, the Centre for Emerging Device Technologies (CEDT) and Canadian Centre for Electron Microscopy (CCEM) at McMaster University.

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Faculty Supervisor:

Jonathan Bradley;Peter Mascher

Student:

Partner:

Intlvac

Discipline:

Engineering

Sector:

Manufacturing; Professional, scientific and technical services

University:

McMaster University

Program:

Accelerate

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