Innovative Projects Realized

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

30156 Completed Projects

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812
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842
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8957
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96
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Projects by Category

Generalization in Deep Learning

In recent years, deep learning has led to unprecedented advances in a wide range of applications including natural language processing, reinforcement learning, and speech recognition. Despite the abundance of empirical evidence highlighting the success of neural networks, the theoretical properties of deep learning remain poorly understood and have been a subject of active investigation. One foundational aspect of deep learning that has garnered great intrigue in recent years is the generalization behavior of neural networks, that is, the ability of a neural network to perform on unseen data. Furthermore, understanding better this generalization behavior has significant practical importance as it can provide guidance and intuition on how to design more effective and powerful deep learning algorithms in the future. TO BE CONT’D

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Faculty Supervisor:

Sanja Fidler;Daniel Roy

Student:

Partner:

Royal Bank of Canada (Borealis)

Discipline:

Computer science

Sector:

Information and Communications Technology; Technology; Finance and Insurance

University:

University of Toronto

Program:

Accelerate

3D Perception and Prediction for Autonomous Driving

For an Autonomous Vehicle (AV) to make decisions and drive independently on urban streets, the problem at hand can be broken down into many phases, two of which are perception and prediction. Perception refers to the process of extracting valuable information from the environment using data collected by sensors such as LIDAR and camera. This includes detection of cars, ped estrians, lanes among many objects. Prediction refers to the process of tracking all the known objects and predicting the possible future actions so as to enable the autonomous vehicle to make informed decisions. Traditionally these tasks are done sequentially and independently one after another. This makes uncertainty hard to propagate from perception to prediction. The aim of this project is to build a deep learning model that does combined 3D perception and prediction.

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Faculty Supervisor:

Sanja Fidler

Student:

Partner:

Uber Advanced Technologies Group

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

THE EFFECTS OF RESP-AID ON ASTHMA

Asthma is one of the serious forms of respiratory diseases causing economic losses and high mortality in the world. RESP – AID is an innovative formula developed by NHV Natural Pet Products to support respiratory disorders and bronchial infections. It is composed of 6 commonly used herbs: Coltsfoot (Tussilago farfar), Marshamallow (Althaea officilanes), Plantain (Pantago major), Mullein (Verbascum Thapsus), Horehound (Marrubium vulgare) and Licorice (Gycyrrhiza glabra). These herbs have been widely used in asthma treatment and can reduce coughing and sputum production, or anti-inflammatory and immunomodulatory activities. However, the effects of these herbs in asthma have not been fully elucidated. Based on the theoretical benefits of RESP-AID, we will conduct a series of studies to explore the efficacy, safety and mechanism of action of RESP-AID.

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Faculty Supervisor:

Shelley Kirychuk

Student:

Partner:

NHV Natural Pet Products

Discipline:

Life Sciences

Sector:

Agriculture

University:

University of Saskatchewan

Program:

Accelerate

Ahead of Time Compiled Code Generation

Compilers are large software projects consisting of many separate but common components like code generators, garbage collectors, and runtime diagnostic tools, to name but a few. Historically compiler developers have had to write each of these components from scratch. The Eclipse OMR project was created to provide generic components for use in new compilers and language runtime environments. OMR has enough flexibility to accommodate a wide range of programming languages without sacrificing performance, portability, or robustness. This project adds support for generic ahead of time (AOT) code generation to OMR. AOT offers a number of benefits to the end user, among them faster start-up times and a substantial reduction in demand for resources at run time. All developed software will be open source and thus not only of benefit to IBM but the community at large.

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Faculty Supervisor:

Gerhard Dueck

Student:

Partner:

IBM Canada Ltd

Discipline:

Computer science

Sector:

Information and Communications Technology; Technology

University:

University of New Brunswick

Program:

Accelerate

Characterization of the Antimicrobial Peptide GL13K

The abuse of antibiotic prescription and administration in humans, livestock, and agriculture has resulted in multidrug-resistant bacteria. One of the promising fields of study to find alternative treatment is antimicrobial peptide research. Among these peptides is GL13K, a thirteen amino-acid antimicrobial peptide that has been shown capable of killing bacteria without being harmful to humans. My research uses model membranes to mimic the compositional differences between bacterial and eukaryotic cells in order to study peptide-membrane interactions using an array of biophysical characterization techniques. The main technique that I would like to learn and apply to my systems is infra-red reflection absorption spectroscopy (IRRAS) as it is a surface-specific technique that enables us to isolate information about the structural changes that the peptides undergoes upon interaction with membranes. Using different peptides with altered amino acid sequences, this information will help us elucidate the structure-function-activity relationship for this antimicrobial peptide. Such information will be used to design new peptides with increased efficacy.

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Faculty Supervisor:

Christine DeWolf

Student:

Partner:

Max-Planck-Institut für Kolloid- und Grenzflächenforschung

Discipline:

Physics

Sector:

Life Sciences (not health); Health and Related Sciences & Technology

University:

Concordia University

Program:

Globalink Research Award

Development of Drug-eluting Bio-absorbable Scaffolds for Body Piercing Applications

Nearly 20% of all piercings lead to local infection, and therefore, it is imperative to develop alternative and commercially-viable methods of piercing aftercare to prevent infection. The general objective of the proposed project is to optimize the design of drug-eluting bio-absorbable scaffolds for human and animal tissue piercing applications with a focus on scaffold degradation and drug release properties. Methods of low temperature fabrication of drug-eluting bio-absorbable scaffolds will be developed and optimized. Moreover, the required scaffold geometry and concentration of drugs to be embedded within the scaffold will be determined based on the drug release profile and degradation rate (in-vitro).

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Faculty Supervisor:

Ali Ahmadi

Student:

Partner:

BioPierce Canada Ltd

Discipline:

Engineering

Sector:

Manufacturing

University:

University of Prince Edward Island

Program:

Accelerate

Caractérisation mécanique mono-dimensionnel en compression de la chenevotte pour le développement d’un mode constructif pour plancher flottant

La performance acoustique et thermique qu’offre la chènevotte en vrac, ainsi que sa faible masse volumique en font un matériau très intéressant pour cette application, notamment en tant que matériau de ragréage et nivelage des planchers anciens. En termes de produit, la chènevotte possède notamment un coût qui rivalise nettement avec les autres matériaux granulaires conventionnellement utilisés pour cette application (mousse de gypse, ganulats de béton cellulaire, argiles ou perlite expansées).
Les principales questions de recherche sur l’utilisation de granulats biosourcés pour ce type d’application sont les suivantes:
– comment se comporte-t-ils au tassement et quel est ce niveau de tassement sous poids propre du plancher (plaques rigides et sols) et sous charges d’exploitation?
-comment se comportent-ils au tassement dans le temps (fluage)?
À partir d’une démarche expérimentale, on tente d’identifier le taux de compression sur différents types de chenevottes (origine, nature, granulométrie) pour identifier un éventail de variabilité du comportement de la chènevotte. Différents modes de sollicitations représentatives de l’application sont testés: charge instantanée, cyclique et étendue dans le temps […]

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Faculty Supervisor:

Ahmed Maslouhi

Student:

Partner:

Université Bretagne Sud

Discipline:

Engineering

Sector:

Construction; Environmental Science and Technology; Sustainability & the Environment

University:

Université de Sherbrooke

Program:

Globalink Research Award

Characterization of Boiler Fly Ash to Match Producers with Beneficial End Uses

Many mills are currently using biomass (hog fuel, bark, sawdust, demolition waste etc.) for heat and electricity generation due to its greenhouse gas neutral status. The combustion of such feedstock generates ash residues the properties of which vary widely with the properties of feedstock and the boiler operating conditions. As such, majority of the ash generated in Canada is currently landfilled. The proposed project aims to characterize ash from various sources and match ash properties with the requirements of the beneficial end uses, such as cement replacement in the construction industry, soil amendment, forest/rural road ingredient and as a source material to recover saleable/useable products. The partner organizations, BC Pulp and Paper Bioproducts Alliance member mills, will benefit from the mill-specific ash utilization opportunities identified through this research. The mills will be able to market ash and ash-derived products while helping towards eliminating the old and deep rooted landfilling practice.

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Faculty Supervisor:

Sumi Siddiqua

Student:

Partner:

Canfor Pulp Ltd;Domtar (BC);FPInnovations (Vancouver, BC)

Discipline:

Engineering

Sector:

Agriculture; Manufacturing

University:

The University of British Columbia - Okanagan

Program:

Accelerate

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

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