Continuous Identity Verification using Blockchain Technology

With physical interactions greatly restricted due to the COVID-19 pandemic, the world is forced to rapidly adapt and embrace digital transformation. There is an urgent need for a digital identity infrastructure to authenticate users who rely on online services. The system must accurately validate physical identities, provide each user the ability to control access to […]

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Using Bayesian Learning paradigms to enhance the clinical utility of an AI decision support tool for mental illness.

The Machine Learning team at Aifred Health is aiming to improve the performance of their core decision support models and the intern will assist in the development of a system that will intelligently iterate across dozens of unique model configurations to find the best performing one by leveraging previous configurations and their performance outcomes. The […]

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Evaluating Latency in Virtual Production Pipelines with Integrated Prediction Model for Motion Capture Data

Virtual Production (VP) is seeing a dramatic spike in interest and adaptation as the global film industry, particularly Hollywood, has been shutdown due to Covid-19. Virtual production is a broad term referring to a spectrum of computer-aided production and visualization filmmaking methods, and is also being used for broader applications from animation to industrial visualization. […]

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Development of Lightweight Thermally Conductive Products Reinforced with Graphene Nanoplatelets for Automotive Industry

The focus of this project is replacing some of the current automotive parts by a stronger and lighter thermally-conductive polymer nanocomposite. This project takes advantage of the exceptional mechanical and thermal properties of graphene as a commercially viable and environmentally friendly nanomaterial, through an industrial scale process, i.e. injection molding. Therefore, the outcome of this […]

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GaN Modelling for the EV Application

The use of new technologies, such as Gallium Nitride electronic switches, allows very efficient and compact power converters to be manufactured at reasonable cost. This is particularly interesting in applications such as electric vehicles. This project focuses on developing software simulation models and techniques for deploying these latest high voltage switches, in particular focussing on […]

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Intelligence Artificielle et Apprentissage Machine pour la Cybersécurité

Ce projet consiste à extraire la nature des accès informatiques des employés d’une organisation et les consolider afin de permettre au gestionnaire de l’employer ou à un auditeur d’avoir une vue d’ensemble des accès informatiques de ses employés. Les employés qui arrivent ou quittent l’organisation, ou changent d’emploi dans la même organisation exigent une révision […]

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Multilingual Semantic Similarity of Unstructured Enterprise Content

To communicate with their end users, businesses regularly produce written documents such as letters, notices, statements, etc. in various languages. A set of rules are usually used to ensure that information in these documents is ‘correct’ and consistent across languages and communication channels. However, with the increasing volume and variety of information being sent out […]

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Développements analytiques pour le marketing numérique et le recrutementde donateurs d’organismes à but non lucratif

Plusieurs fondations, comme la fondation Marie-Vincent, sont particulièrement touchées dans le contexte de la crise actuelle de la COVID. Une partie importante des initiatives de financements étant normalement effectuée lors d’événements physiques d’envergure, l’obtention du financement pour maintien des activités est une préoccupation. Afin de supporter les fondations et organismes à but non lucratif particulièrement […]

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Metaheuristic Approaches to Feature Engineering and Model Architecture Optimization for Financial Time Series Prediction

Predictive modeling of financial data, especially trading activity or asset prices, is a very challenging task. There are a number of novel approaches to feature engineering, data preparation and model architectures that aim to mitigate some of the problems that arise from non-stationarity and other issues typically found in financial time series data. This project […]

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Multilingual Semantic Search Engine using Multilingual Semantic Similarity

Multiple situations require cross-lingual searching: lawyers reviewing litigation documents; intelligence analysts data mining open source data; and patent attorneys investigating technical documents. To imitate cross-lingual search, people use online translation platforms to find the equivalent terms laboriously and then re-execute the query multiple times in various languages. The commercial search industry hasn’t seen much demand […]

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Good Decisions, Diverse Voices: Developing Tools for Equitable Decision Making

Despite the importance of diverse voices in community decision-making, we still do not fully understand how to support sound decision making in a way that is equitable and works to advance agendas of historically marginalized groups. We will draw on notions of equitable representation and urban planning to define equitable decision making, identify value elicitation […]

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Making Healthcare More Accessible in Long Term Care Facilities through a Robotic Platform

COVID-19 has introduced significant challenges to healthcare systems and caregivers to provide quality care to older adults and adults with developmental disabilities (DD) living in long-term care facilities (LTCFs). As a result, regular doctor visits are limited, and demand for caregivers is on the rise. Utilizing a Collaborative Service Robot (CSR) technology within a LTCF […]

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