Projets novateurs réalisés

Explorez des milliers de projets réussis issus de la collaboration entre organisations et talents postsecondaires.

29 670 projets achevés

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Projets par catégorie

Insight from the top 2 000 mobile games found in the Apple store

The organization partner is currently allocating video advertisement inside mobile applications. The mobile applications that publish the video advertisement are designated as publisher. To allocate the video advertisement inside the right mobile application, the potential publishers are manually searched in the Apple App store. This search process is a bottleneck. It also involves a lot of manual work and room for error. The intern will use technologies in order to gather information on the top 2 000 mobile applications in the Apple App store. The information will represent contextual, descriptive and ranking information from each mobile application. Afterward, the intern will have to segment and do a correlation analysis in order to provide insight on successful features of top ranked mobile apps. The partner will benefit from this research project as information is gathered, an

Voir la description complète du projet
Superviseur du corps professoral :

Denis Larocque

Étudiant :

Partenaire :

Floop Technologies

Discipline :

Business

Secteur :

Professional, scientific and technical services

Université :

HEC Montréal

Programme :

Accelerate

Conductance detection using granular films

Universal NanoSensor Technologies (UNS-Tech) develops and commercializes microfabricated conductivity detectors. In this MITACS project, UNS-Tech will partner with Prof. Cynthia to explore new detector architectures based on nano-particle and nano-shell films. The results will be analyzed and the findings will be published in scientific journals. The intern participating in this cluster will benefit from this internship by gaining tremendous knowledge of electronics-based detectors. They will gain invaluable experience and enhance their training as highly qualified personnel as they prepare to enter the Canadian work force. UNS-Tech – an Ontario-based start-up – will benefit by exploring granular metal film-based architectures for potential sensor application. Achieving successful proof-of-principle tests in a university setting would be a critical benchmark for UNS-Tech before moving onto product development and beta tests. Development of beta phase products and, thereafter, successful commercialization will require employing more Ontarians and will, in turn, benefit both Ontario and Canada.

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Superviseur du corps professoral :

Cynthia Goh

Étudiant :

Partenaire :

Universal NanoSensor Technologies Inc (Toronto, ON)

Discipline :

Physics

Secteur :

Manufacturing

Université :

University of Toronto

Programme :

Accelerate

Prediction and optimal strategies in equity algorithmic trading

Trading is increasingly moving from the human world to its electronic counterpart. In this new environment the effects need to be properly understood and analyzed. Most recently the Canadian market as other developed capital markets has experienced a reduction in direct trading costs for investors but at the cost of an increase in indirect trading costs, price variability. This affects everyone either directly, such as the Royal Bank of Canada’s Capital Markets department, but also indirectly through its clients, from institutional investors and fund managers to each individual investor that buys into their funds for their financial and retirement planning. Quantitative methods can be effectively leveraged to help institutions glean the most information out of increasingly higher-frequency price information which will provide a better understanding of this new market environment. The research in this proposal aims to deploy advanced optimization models that incorporate the existing uncertainty in asset prices and artificial intelligence techniques to perform this analysis. The aim is to help the Royal Bank of Canada navigate the trading environment better and at a lower cost to its clients.

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Superviseur du corps professoral :

Roy Kwon

Étudiant :

Partenaire :

RBC Royal Bank (Toronto, ON)

Discipline :

Engineering

Secteur :

Finance and Insurance; Management of companies and enterprises

Université :

University of Toronto

Programme :

Accelerate

Développement d’un protocole de ciblage appliqué à l’exploration minière à l’aide de l’algorithme Hypercube

Ce projet cherche à améliorer les méthodes d’exploration minière grâce à l’intelligence artificielle. En effet, il est de plus en plus difficile pour cette industrie de trouver de nouvelles mines. Celle-ci a accès à de larges bases de données mais l’être humain n’est capable que d’en comprendre et utiliser qu’une faible partie. Il est donc proposé d’utiliser un algorithme (Hypercube®) pour essayer de trouver des liens entre les données qu’une personne humaine serait incapable de percevoir. Ces liens pourraient ensuite aider à développer des nouveaux modèles d’exploration. Ce projet permettra alors au stagiaire autant que IOS Services Géoscientifiques de proposer de nouveaux services aux compagnies minières : L’amélioration de leur ciblage pour leurs projets et d’augmenter ainsi leur taux de réussite.

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Superviseur du corps professoral :

Réal Daigneault

Étudiant :

Partenaire :

IOS Services Géoscientifiques Inc

Discipline :

Earth science

Secteur :

Mining

Université :

Université du Québec à Chicoutimi

Programme :

Accelerate

Évaluation de filières de traitement/valorisation des rejetslaitiers issus de l’industrie de production de fromages

La production de fromage engendre des rejets d’eaux usées chargées en matières organiques dans le milieu récepteur (rivière) causant une pollution de l’environnement et un risque pour la santé humaine. Appliqué au contexte de la municipalité de Miahuatlan, le projet vise à caractériser les rejets des différentes étapes de la production de fromages en termes de quantités (débits) et de qualité (analyses physico-chimiques en laboratoire) pour en déterminer les flux de polluants. Il sera alors possible d’identifier des filières potentiellement applicables de traitement/valorisation de ces rejets. Sur la base des caractéristiques des filières et des débouchés réels associés aux conditions locales, il s’agira d’établir une hiérarchisation des scénarios retenus par une analyse multicritères. Cette approche de hiérarchisation permettra de mieux cibler les forces et les faiblesses des solutions potentielles retenues en regard des spécificités locales et facilitera, pour les acteurs du territoire, le processus de prise de décision.

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Superviseur du corps professoral :

Mathias Glaus

Étudiant :

Partenaire :

Universidad Veracruzana

Discipline :

Engineering

Secteur :

Education

Université :

École de technologie supérieure

Programme :

Globalink Research Award

Simulation platform development for reserved car market

The two last years, the emergence of car mobile applications (Uber for example) has disturbed the taxi industry. This new market is becoming more predominant and no solution has been found to reach an objective equilibrium with the older modes of transport. This problem is appearing all around the world with different companies depending on the country. By analyzing a group of precise data and with complex simulations gathering the different transport modes, the project wants to have a better comprehension of this new phenomenon. Its goal is to propose new ideas and new approaches in order to come closer to a fair solution.

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Superviseur du corps professoral :

Bilal Farooq

Étudiant :

Partenaire :

Shanghai Jiao Tong University

Discipline :

Engineering

Secteur :

Agriculture; Education

Université :

École Polytechnique de Montréal

Programme :

Globalink Research Award

The Health Economics of Disability in Canada

Studies have shown that even though people with disabilities (PWD) are living longer and healthier lives their employment rate has not improved in Canada in 10 years. This poses a challenge because these individuals receive healthcare and social assistance from the government at a higher rate than the majority of the population. This leads to an expensive bill for the government each year. This assistance, although necessary, can be reduced by providing PWD with a means to pay for their own care, namely employment. Studies have shown that many PWD desire a job or more work hours. Having a job has several benefits which have been shown to improve health. By looking at healthcare expenses, the use of welfare programs and tax contributions, this study examines how much money can be saved if PWD are given jobs.

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Superviseur du corps professoral :

Dean Regier

Étudiant :

Partenaire :

University of British Columbia;Neil Squire Society

Discipline :

Sociology

Secteur :

Health and Related Sciences & Technology

Université :

The University of British Columbia

Programme :

Accelerate

Investigation of Product Induction Systems used in the Pneumatic Conveyance of Agricultural Materials

Farmers in Western Canada are demanding larger, higher capacity seeding equipment due to lack of available labor, economies of scale, and a limited seeding window. Typical air seeder systems are limited by the power available from current tractors. Therefore in order to increase the capacities of future units, a reduction in the power required will be needed. CNH will benefit from the thorough testing of typical product induction systems, development of a CFD model, and utilization of a small scale test bench. Adding to the company’s product induction knowledge base will aid in reducing the turnaround time on any new developments.

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Superviseur du corps professoral :

Scott Noble

Étudiant :

Partenaire :

Discipline :

Engineering

Secteur :

Université :

University of Saskatchewan

Programme :

Accelerate

User Demographic and Interest Prediction

Addictive Mobility is the leading Big-Data online advertising company in Canada. It uses Real-Time Bidding (RTB) platform for online display advertising in mobile devices. In this domain, a number of companies compete with each other to display a specific Ad to a customer within a specific time. Thus, in such a competitive system, the goal is to develop and optimize such a system which can not only minimize the cost over the campaign period, but also send targeted ads to maximize the Return on Investment such as number of clicks or purchases. Methodologies such as Data Visualization, Data Mining and Machine Learning are needed to handle the massive amount of data sent by Ad Exchanges and to make a better sense out of it. Also, targeting the right audience is important as that can lead to better experience for the users as well as a higher value generation for the company both in terms of revenue and reputation. It can also lead to increase in user interaction which can prove a valuable asset to the company’s business. Enhancing this and developing such a system is at the core of company’s business and important for its reputation and returns.

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Superviseur du corps professoral :

Raquel Urtasun

Étudiant :

Partenaire :

Addictive Mobility

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

University of Toronto

Programme :

Accelerate

Exposure at Default methodology enhancement and credit portfolio optimization

A fundamental activity of a commercial bank is the lending of capital through various credit instruments such as direct loans to consumers, mortgages, and lines of credit. Efficient lending is at the core of a well functioning economy. The risk in lending is commonly referred to as credit risk and represents the risk of loss due to a borrower’s failure to make payments on debt. It is crucial for a bank to be able to estimate risk of loss from loans as large unexpected losses can result in insolvency or increased costs of borrowing for the public. The research in this proposal aims to estimate some key components of expected loss from retail credit instruments with revolving exposure. In particular, methods to estimate exposure at default (EAD) will be developed and used for credit portfolio management. As our partner organization Bank of Montreal (BMO) offers a significant line of retail credit products the research from this internship would be greatly beneficial for BMO

Voir la description complète du projet
Superviseur du corps professoral :

Roy Kwon

Étudiant :

Partenaire :

Bank of Montreal

Discipline :

Engineering

Secteur :

Finance and Insurance

Université :

University of Toronto

Programme :

Accelerate

Développement d’approches statistiques pour l’analyse de portefeuilles d’investissements alternatifs

L’entreprise oeuvre dans un marché de gestionnaires d’investissements spécialisés. Le principal rôle de l’organisation est de suivre l’évolution des portefeuilles de ces gestionnaires et de rapporter lesinformations aux investisseurs soit les clients. Par la nature diversifiée et non traditionnelle des investissements, il n’existe pas beaucoup de statistiques reconnues comme étant fiables pour les décrire. Ainsi, le premier objectif est d’innover en recherchant de nouvelles statistiques mieux adaptées aux types d’investissements suivis. Dans un second temps, un travail de création d’une méthodologie pour mieux suivre l’évolution des stratégies d’investissement est prévu. Ce dernier travail permettra d’assurer que les gestionnaires de fonds suivent bien leur contrat. Le stage se résume donc au développement et à l’amélioration de l’offre de service de l’entreprise.

Voir la description complète du projet
Superviseur du corps professoral :

Manuel Morales

Étudiant :

Partenaire :

Innocap

Discipline :

Mathematics

Secteur :

Finance and Insurance

Université :

Université de Montréal

Programme :

Accelerate

Housing reconstruction cost model

This project is designed to analyze a list of insurance policies and past claims, and to determine which variables have had a significant influence on the cost of house reconstruction in the case of insurance claims. It is also planned to use a hedonic pricing model to include, where appropriate, the influence of location variables, neighborhood characteristics, and housing characteristics on the cost of house reconstruction. On the basis of an appropriate selection of variables related to insured properties and an appropriate pricing model, a calculator of housing reconstruction costs can be implemented and used by TDI for the prediction ofhouse reconstruction costs.

Voir la description complète du projet
Superviseur du corps professoral :

Marcel-Cristian Voia

Étudiant :

Partenaire :

TD Assurance

Discipline :

Mathematics

Secteur :

Finance and Insurance

Université :

Carleton University

Programme :

Accelerate

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