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

Democratizing Data Preparation for AI

Artificial Intelligence (AI) has attracted significant attention in both industry and academia recently. On one hand, people are feeling excited about seeing the breakthroughs that AI has made. On the other hand, they are also worried that these advanced AI technologies will only be mastered by a very small number of organizations in the future. Therefore, there is a strong need to democratize AI (i.e., make AI accessible for everyone).
There are three kinds of resources that AI requires: Algorithm, Computation, and Data. In the past, signification efforts have been made to democratize Algorithm and Computation. In terms of Data, however, the progress is still very slow. Data scientists, who are considered as the hottest job in the 21st century, can spend 80% of their time on data preparation. In this project, we will develop innovative technologies and open-source software tools to fulfil the vision of democratizing data preparation for AI.

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Faculty Supervisor:

Jiannan Wang

Student:

Partner:

Union Mobile Financial Technology Canada Corporation;UMF Consulting Ltd.;LightUp Solutions Ltd

Discipline:

Mathematics

Sector:

Professional, scientific and technical services

University:

Simon Fraser University

Program:

Accelerate

Accurate identification of Points of Interest visits for refined trade area analysis and audience segmentation

Pelmorex (owner of the brands The Weather Network and MeteoMedia) operates weather information services accessed by all Canadians on desktop computers, mobile apps and television. The mobile app is one of the most downloaded and used apps in the country, within both the Apple/Google ecosystems of smart phones/tablets. Continuous and accurate location data is collected from the apps in a privacy safe way, adhering to Canadian privacy commissioner guidelines and standards such as Pipeda, with no PII (personally identifiable information) being collected. The location data of millions of users can be utilized by using advanced technologies, such as machine learning and AI, to produce valuable services for consumers and advertisers such as personalizing content and digital advertising based on location history. This goal of this project is improve the accuracy of the identification of a point of interest (POI) visited by users. TO BE CONT’D

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Faculty Supervisor:

Matt Medland

Student:

Partner:

Pelmorex Media Inc

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Intégration de contraintes industrielles dans la recommandation de produits

Les systèmes de recommandation sont des outils qui permettent aux utilisateurs d’un système de trouver des items qui pourraient leur être d’intérêt. Ces outils permettent d’améliorer les performances marketing à travers l’amélioration de l’expérience client, et cela en limitant le temps de recherche liés à la surcharge d’information à travers une meilleure personnalisation.
Les systèmes de recommandation se sont prouvés être utiles dans l’augmentation des ventes et dans l’amélioration de l’expérience client. Le projet que nous proposons vise à utiliser les systèmes de recommandation à des fins d’optimisation des recommandations sous contraintes industrielles, plus spécifiquement, sous contraintes logistiques.

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Faculty Supervisor:

Bruno AGARD

Student:

Partner:

Georgia Institute of Technology

Discipline:

Engineering

Sector:

Information and Communications Technology; Technology

University:

École Polytechnique de Montréal

Program:

Globalink Research Award

Delimitation of Extended Continental Shelves in the Arctic Ocean

My research interests lie in the sphere of delimitation of continental shelves outside 200 nautical miles in the High North and involve emerging challenges of today. The process and principles of delimitation, influence of geomorphology and geopolitics are core questions of my study. The establishment of maritime borders in the Arctic is very important for the region as it affects geopolitics, science, and business. The delimitation of the extended continental shelves in the Arctic will impact how Canada, Russia, the USA, Denmark and Norway cooperate in environmental issues, scientific collaboration, infrastructure projects, etc. The establishment of the Canadian continental shelf borders and the global warming might bring such positive effects as major infrastructure projects for the remote areas in the north, the Arctic natural resources development, and growing wealth of the indigenous people. TO BE CONT’D

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Faculty Supervisor:

Nicolas Lamp

Student:

Partner:

University of Oslo

Discipline:

Sociology

Sector:

Other; Public Service, Policy, and Governance

University:

Queen's University

Program:

Globalink Research Award

Non-emerg. Patient Transfer Scheduling and Assignment

The objectives of this research project are to design and evaluate scheduling and assignment models to minimize travel costs and maximize the service level delivered for non-emergency patient transportation. This will be done using operations research, a branch of applied mathematics where models of a system are formulated to predict the system’s performance based on a given set of input parameters, system structure, and stakeholder actions. The objective is typically to determine the decision policies (i.e. stakeholder actions) which achieve a desired (or best) system performance. The primary contribution of this model is to design scheduling approaches to improve the efficiency of EMS patient transfer systems. Best practices for scheduling transfers produced from this study will be directly transferable to EMS systems around the world including those found in Nova Scotia and the Netherlands.

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Faculty Supervisor:

Peter VanBerkel;Uday Venkatadri

Student:

Partner:

Delft University of Technology

Discipline:

Engineering

Sector:

Education

University:

Dalhousie University

Program:

Globalink Research Award

Investigating Driving Condition Impact on Millimeter-wave (77GHz) Automotive Radar for Autonomous Vehicles

To enable the development of self-driving vehicles, an accurate characterization of automotive radar modules under various road or weather conditions is required to ensure reliability is maintained under all circumstances. With this fundamental building-block established, ACAMP will be able to support Canadian technology companies in the development of autonomous vehicles. This project will also provide the intern an opportunity to gain knowledge and practical experience in the field of millimeter-wave radar and the opportunity to network with the growing autonomous vehicle industry through ACAMP’s clients. The project involves reliability tests under different weather conditions such as extreme high and low temperatures, varying humidity levels, rainfall, and snowfall.

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Faculty Supervisor:

Mojgan Daneshmand

Student:

Partner:

Alberta Centre for Advanced MNT Products

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Alberta

Program:

Accelerate

Hyperstate: Communication between organizations In the Music Business

The current project intends to create a software platform solution that solves the communication between organizations in the Music Industry. Overall, the platform uses third party systems to achieve the requirements of the problem statement. Moreover, the platform is built over abstraction levels to integrate different components. The research of the integration of these parties including blockchain technologies will solve the data transmission and accountability responsible for the payment distribution of value in the specific use case of the Partner in the Music Industry. Specifically, transmit data among several organizations (labels, artists, distributors, etc efficiently) to make payments fast, securely, and reliable so achieving trust between the participants. The chain of the processes that are going to be defined will automate the accountable traditional processes. Each participant will get their payoffs more fairly and faster, improving and innovating the industry at the same time.

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Faculty Supervisor:

Ralph Deters

Student:

Partner:

Membran Canada

Discipline:

Computer science

Sector:

Arts, entertainment and recreation

University:

University of Saskatchewan

Program:

Accelerate

Villes et mobilité intelligentes : technologie et société

Ce programme de recherche vise à proposer une approche intégrée permettant aux villes de valoriser les technologies liées à la ville intelligente et aux transports intelligents, ainsi que les données collectées, dans l’optique de répondre aux besoins de déplacements des populations, d’améliorer la sécurité des citoyens et de promouvoir la mobilité intelligente et la logistique urbaine verte, tout en favorisant l’intégration urbaine et l’appropriation sociale de ces technologies. Ce projet permettra au partenaire, Jalon MTL, et aux municipalités visées, d’accélérer la mise en place de la ville et de la mobilité intelligentes.

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Faculty Supervisor:

Florence Paulhiac Scherrer;Nicolas Saunier;Nicolas Merveille;Hanane Dagdougui;Lucie Sauvé;Luis F. Miranda-Moreno;Walter Rei;Martin Trépanier;Geneviève Boisjoly;Nicolas Merveille

Student:

Partner:

Jalon Montréal

Discipline:

Engineering

Sector:

Transportation (excluding aerospace); Information and Communications Technology; Public Service, Policy, and Governance

University:

École Polytechnique de Montréal; McGill University; Polytechnique Montréal; Université du Québec à Montréal

Program:

Accelerate

GIF Tools II – Advanced GeoPhysical Inversion II (Year Two)

Over the past 25 years researchers at the UBC Geophysical Inversion Facility (GIF) have generated forward modelling and inversion codes that deal with most types of data of interest to a consortium of mining companies. This proposal moves the research to applications in their corporate environments, and to advance the tools and understanding about how to use the research to date in an efficient manner to extract maximum information from their geophysical data. GIFtools, the computing software for carrying out advanced inversion, was developed for this purpose. This proposal will: (i) undertake further research and development of GIFtools as a computing environment to carry out advanced forward modelling and inversion of geophysical data; and further research and development of methodologies and inversion techniques to interpret magnetic data contaminated with remanence.

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Faculty Supervisor:

Douglas Oldenburg

Student:

Partner:

Anglo American Exploration;Barrick Gold Corporation (Toronto, ON);Glencore Canada Corporation;Glencore Canada Corporation - Raglan Mine;BC Works Rio Tinto;BHP Canada Inc.;Teck Resources Ltd (Vancouver, BC);Vale Canada

Discipline:

Earth science

Sector:

Mining; Professional, scientific and technical services

University:

The University of British Columbia

Program:

Accelerate

Development of Dielectric Coating for the Next Generation Wearable Heart Monitoring System

Electrocardiography or ECG is a technology that can be used to monitor the electrical activity of the heart over a long period of time. Such signals can be utilized for interpreting both the structure and function of the heart. Traditional ECG designs consist of several electrodes that need to be placed directly in contact with a patient’s skin. These metallic sensory electrodes are usually made into disc-like configuration and one of the major drawbacks is the inconsistency in signal recording due to poor skin contact from the non-flexible nature of the electrode design. Thus, HelpWear Inc., is intended to manufacture next generation ECG sensors by utilization of flexible polymeric based material to replace the traditional bulky ECG design and integrate novel materials for wearable healthcare applications.

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Faculty Supervisor:

Hani Naguib

Student:

Partner:

HelpWear

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

The estimation and prediction of crop biomass and final yield using UAV-based point cloud data

This study will focus on an alternative remote sensing method for crop long-term biomass monitoring and prediction of final yield using Unmanned Aerial Vehicle (UAV) based 3D point cloud data in Southwestern Ontario. Currently, biomass and yield are estimated from statistical and crop growth models. However, statistical models are only applicable for specific area or environmental conditions; crop growth models require many input parameters which are impractical for individual farmers. The allometric method could be an alternative for crop biomass estimation. Moreover, the key parameter, crop height, is difficult to obtain from satellite or airborne remote sensing data. According to the outcomes from my previous study, crop canopy height and LAI estimation methods using the UAV-based point cloud data could be valuable information on crop biomass estimation using the allometric method. TO BE CONT’D

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Faculty Supervisor:

Jinfei Wang

Student:

Partner:

A & L Canada Laboratories Inc.

Discipline:

Earth science

Sector:

Agriculture; Professional, scientific and technical services

University:

Western University

Program:

Accelerate

Origine et dynamique plurimillénaire des peupleraies à la Forêt d’enseignement et de recherche (FER) de Macpès au Bas-Saint-Laurent

L’histoire et la dynamique des forêts en lien avec les incendies restent mal connues au Bas-Saint-Laurent. Les feux naturels sont relativement rares dans la région. Toutefois, l’omniprésence du peuplier faux-tremble semble étroitement associée à l’occurrence de feux récents, liés aux activités humaines. La FER de Macpès représente un terrain d’étude stratégique puisqu’une grande partie de son territoire s’est régénéré en peupleraies suite à un feu survenu en 1923. Ce projet vise à comprendre l’origine et la dynamique du peuplier faux-tremble à la FER, L’analyse des charbons de bois des sols de la FER permettra de déterminer le régime des feux naturels et identifier les espèces ligneuses qui ont brûlé à différentes périodes. Nous obtiendrons ainsi une reconstitution à l’échelle locale de la forêt préindustrielle, ainsi que les processus qui ont conduit à l’omniprésence actuelle des peupleraies. TO BE CONT’D

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Faculty Supervisor:

Guillaume de Lafontaine

Student:

Partner:

Corporation de la forêt d'enseignement et de recherche Macpès

Discipline:

Life Sciences

Sector:

Life Sciences (not health); Forestry; Sustainability & the Environment

University:

Université du Québec à Rimouski

Program:

Accelerate

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