Piège ionique à la pression atmosphérique

Le projet de doctorat consiste à faire l’essai d’un certain type de lentilles électroniques spécialisées, appelées lentilles à focalisation forte, que sont les lentilles quadripolaires électrostatiques. Ces lentilles sont généralement utilisées dans des appareils analytiques comme les microscopes électroniques et les spectromètres de masse, entre autres., qui opèrent tous à de très basses pressions. L’élément […]

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Development of Wireless Power Transfer charging system for Commercial Electric Vehicles using a Model Based Design process.

As the climate change problem has been a serious global issue, we have been making effort replace internal combustion engine to electric vehicles (EVs) to reduce carbon emission. As demand for EVs increases, it is necessary to research an infrastructure; such as an efficient and intelligent EV charging system, to support various charging services. Wireless […]

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A Metrics-Based Approach to Support Sustainable Product Development and Consumption

Sustainable product development adheres to the needs of the present while developing a product without compromising the ability of future generations to meet their needs. This proposal aims to develop a suite of sustainability metrics that can be computed by analyzing data like company website, product material information, etc. The metrics will be integrated into […]

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Structural optimization of thin sheet metals subject to manufacturing constraints

The goal of the project is to develop an integrated platform for size, shape, and topology optimization of thin wall structures that can meet both manufacturing and performance requirements. The research fellow will receive guidance from Autodesk Researchers & Professionals as well as close supervision on the fundamental aspects pertaining the mechanics and optimization by […]

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Multimodal Representation Learning from raw data to detect customers emotional state in the financial industry

Currently, call centres effort in this matter is largely reactive. Someone calls in, they are upset, and agents respond accordingly. However, this approach is not always most effective, especially with difficult customers. Therefore, knowing the customers current emotional state is very important for appropriate problem solving. Affective computing can be used to detect and evaluate […]

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Transition model for insurance risks

Car (automobile) insurance is a very common type of insurance: policyholders pay a premium to get financial compensation in case an accident happens with their cars. Insurance companies use complex calculations and a lot of information to determine the value of these premiums. More specifically, they must also consider their expectations of the future. Predicting […]

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A Neural Investigation of Trust in Digital Influencers

Virtual agents based on artificial intelligence have become increasingly popular on social media. Examples of Lil Miquela or Shudu Gram show how completely artificial agents can have a significant influence on our social lives, and especially social media marketing. However, it stands to question how these virtual influencers are actually perceived by consumers, whether they […]

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A Feature Discovery System for Data Science Across the Enterprise

Existing data lake systems lack the support for storing or discovery features that could be used with different ML projects. These limitations negatively affect the process of decision-taking. Data scientists spend most of their time finding, preparing, and integrating relevant data sets to finish analytics tasks. Feature discovery systems are needed to ease the process […]

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Cold Plasma Degradation of Aflatoxin M1 While Maintaining Milk Quality

Aflatoxins (AFB1, AFB2, AFG1, AFG2) are poisonous mycotoxins that are produced by two common molds, Aspergillus flavus and Aspergillus parasiticus, in cereal grains and maize. When dairy cows ingest AFB1 toxin through contaminated feed, it is metabolized into carcinogenic AFM1 toxin, and it is transferred in milk. AFM1 contamination of milk poses a significant health […]

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Amélioration de l’expérience utilisateur

Ce projet MITACS consiste en l’amélioration de l’expérience utilisateur (innovation de produit et de procédé) en offrant de nouveaux outils ou fonctionnalités et en améliorant ceux déjà présents sur notre plateforme. Pour créer l’outil sur notre plateforme, les étudiants feront face à des enjeux de communication avec les API des partenaires, et avec l’équipe. Ils […]

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Book Recommendation: Improving Collaborative Filtering with Content Information

Collaborative filtering is a product recommendation technique for making automated product suggestions to a user based on the preference information from similar users. Traditional recommendation algorithms drive personalized recommendations using the data from user purchases and ratings. For e-book retailers, besides user purchases and ratings, product features such as book content and metadata also provide […]

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Personal Analytics to Enhance Smarter Commerce

Personal analytics refers to a recent trend where individuals wish to collect, analyze and visualize personal information so that they can gain knowledge about one’s behaviours, habits and thoughts in the context of their personal goals. The trend of self-tracking is rapidly increasing as people are becoming smarter about choices available to them, and seek […]

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