Increasing the efficiency of quantum computers through semiconductor structuring

Since the mid-nineteenth century, technology has advanced at an exponential rate due to the large demand for computing power and performance. We are presently at a critical point where the switch from classical to quantum computing is required, however, the technology is still in its infancy. Unlike classical computers, which control information flow through bits […]

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Novel oxyfluoride photosensitive glasses and glass ceramics

As a PhD student, my work revolves around the synthesis and characterization of novel oxyfluoride indium-based glass ceramics with a wide transmission range in the infrared, for an application in small-scale photonic components. Our team discovered a new crystalline phase exhibiting interesting optical properties ; my goal is to synthetize this phase in as many […]

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Algorithmic redaction of refugee court files

The goal of this research The system will be designed to intelligently propose redactions for court officers to examine, thereby integrating human oversight with advanced technological capabilities.is to engineer an intuitive and user-friendly system capable of automatically scrutinizing and eradicating confidential information contained within refugee court files in Canada. By leveraging cutting-edge language processing and […]

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Development of a smart wearable device using sensor fusion for human motion tracking

In this project, we’re developing a smart wearable device that works together with an app to assist users in improving their sports performance and maintaining their health. Ideal for enthusiasts of sports like golf, tennis, or badminton, this innovation is designed to overcome challenges in skill improvement. The device tracks user activity during play, sending […]

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Unveiling the Rift: Exploring the Chasms in Modern Software Development Quality Assurance

Software quality is a complex challenge that includes security, reliability, correctness, and maintainability. Existing tools fall short in effectively identifying, monitoring, and prioritizing quality issues. This research project aims to bridge these gaps by developing a comprehensive solution. By addressing these limitations, it will enhance productivity, reduce risks, streamline software development, and increase project success. […]

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Improving efficiency and safety in aviation industry using big data analytics

In aviation industry a large flow of data including thousands of parameters are registered by FDRs (Flight Data Recorders). The objective of this project is to use this big data to improve the efficiency and safety of flights. The data is collected and segmented from the raw datasets and then proper data cleaning methods are […]

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Exploring Alternatives with Design Analytics Interfaces: A Human-Centered Approach for Integrating Generative Design and Performance Assessment with Machine Learning-Based Surrogate Modelling

Designing built environments is a complex process that involves generating and evaluating alternative solutions using computational tools. In the Architecture, Engineering, and Construction (AEC) industry, designers use generative design methods to explore a larger number of alternatives and ML-driven rapid performance prediction to identify potential issues early on. However, separating these tasks hampers creative flow […]

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Développement de modèles IA parallélisés adaptés à la prévision court terme des mouvements d’énergie dans des équipements électriques de moyenne tension

On cherche a prevoir via l’intelligence artificielle (IA) comment un groupe d’equipements de moyenne tension appele « paste satellite » va alimenter en electricite son secteur de distribution pour les prochaines heures et jours. Le comportement d’un poste satellite est defini par trois unites de mesure qui sont la puissance active en megawatts (MW), la […]

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A human-centered approach to the design and implementation of advanced health technologies using Cognitive Work Analysis (CWA)

While there have been several literature reviews on the performance of digital sepsis prediction technologies and clinical decision-support algorithms for adults, there remains a knowledge gap in examining the development of automated technologies for sepsis prediction in children. Pediatric sepsis is a major cause of mortality of children worldwide. However, there is still a lack […]

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Algorithmic redaction of refugee court files

The goal of this research The system will be designed to intelligently propose redactions for court officers to examine, thereby integrating human oversight with advanced technological capabilities.is to engineer an intuitive and user-friendly system capable of automatically scrutinizing and eradicating confidential information contained within refugee court files in Canada. By leveraging cutting-edge language processing and […]

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