Scalable Fraud Detection Methods for Micro-donation Processing Platforms

The goal of this project is to investigate fraud detection methods for micro-donation processing platforms. Fraud detection is a popular topic in both industry and academia, but usually in the context of payment processing. Through this research we aim to develop a practical, scalable and robust fraud detection system for the specific use-case of micro-donation […]

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Exploring and Improving Self-supervised Methods for Large-scale Video Recognition

With the advancement of modern technology, especially the increase in network speed, videos are taking more and more important places among media types. With vast potential applications, video recognition has received great attention. However, video recognition is a non-trivial task: a lot of training data are needed for complicated neural networks, but annotated data are […]

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GROKVIDEO

By combining the information contained in the visual, audio and text content of videos, it is possible to extract complex information about their content. It’s then possible to analyse a query from a search engine to find the video segments that best matches this query. During this project, the intern will be using state-of-the-art deep […]

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Bentley – Approche semi-supervisée pour l’identification et la localisation des bris et défectuosités

Bentley fournit des logiciels spécialisés et adaptés à tout type de projet d’infrastructure au niveau mondial. Le projet proposé vise à développer un détecteur d’anomalies générique basé sur un autoencodeur adversarial, qui permet l’apprentissage automatique de la distribution des éléments normaux. Par la suite, tout élément s’écartant de cette distribution peut être qualifié d’anormal, même […]

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Co-operators – Comprendre les enjeux des communautés

Co-operators est une coopérative canadienne, chef de file de l’assurance multiproduit et des services financiers. Co-operators cherche à explorer de nouveaux modèles d’affaires pour mieux servir sa clientèle et réussir sa mission (la sécurité financière des canadiens et canadiennes) et cela nécessite des choix stratégiques, surtout au niveau des communautés suivantes : immigrants, peuples autochtones, […]

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Intact – Analyse et extraction de caractéristiques de voitures à partir d’images

Intact Corporation financière est le plus important fournisseur d’assurances multirisques au Canada en primes annuelles. Intact vise à offrir un service de réclamations accéléré à ses clients. Au moment d’ouvrir une réclamation, Intact demande d’ores et déjà à ses clients de fournir des images du véhicule qui permettent d’identifier préalablement la condition générale du véhicule. […]

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Accelerated Time-Stepping for Computational Aerodynamics

The design of next-generation cleaner and quieter aircraft will rely on accurate simulations of turbulent flows. These simulations, referred to as Computational Fluid Dynamics (CFD), are critical in the design of both the external shape of an aircraft, as well as other components such as jet engines and propellers. The industry partner, ANSYS, develops one […]

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A Toolkit for Analyzing Online Conversations for Solutions Based Policy Development

The Intergovernmental Panel on Climate Change (IPCC) 2014 Synthesis Report states that “substantial [greenhouse gas] emissions reductions over the next few decades can reduce climate risks in the 21st century and beyond, increase prospects for effective adaptation, reduce the costs and challenges of mitigation in the longer term, and contribute to climate-resilient pathways for sustainable […]

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Artificial Intelligence in Mass Transit

Transportation systems are evolving towards intelligent transportation systems and ISR Transit is a leading provider of these systems providing solutions in fleet management. In these systems, one of the enabling technologies is wireless sensor networks in which sensors are used to obtain information about the fleets. For example, sensors are deployed on motor, brake modules, […]

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Analysis, design, and implementation of a recommendation engine to suggest charities

The goal of this research is to investigate and build a recommendation system that suggests charities to users based on their previous donations. One of the first successful recommendation systems was Amazon’s “Customers who bought this, also bought…”. This recommendation system focuses mainly on making it easier for users to find relevant information and increasing […]

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Relevance of security intelligence data for cyber insurance risk quantification

Cyber insurance is a relatively new and growing insurance product that provides companies with compensation following cybersecurity incidents involving data breaches, business interruption, digital asset loss and/or cyber extortion. The ever-changing nature of cyber technology combined with the lack of a large history of cyber insurance claims makes it challenging for insurance companies to rapidly […]

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