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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Des installations pilotes de démonstration pour les systèmes de polygénération en vue de la décarbonisation des zones urbaines et rurales – des nœuds de coopération pour soutenir la prise de décisions publiques sur la base de preuves scientifiques.

Le projet de recherche proposé vise à développer et à évaluer des installations pilotes qui génèrent de multiples formes d’énergie dans les zones urbaines et rurales. Le projet étudiera comment ces systèmes de polygénération peuvent réduire les émissions de carbone et contribuer aux efforts de décarbonisation. En outre, le projet évaluera le rôle des nœuds […]

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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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Generative design to support complete community quantitative and qualitative analysis

Generative design to support complete community quantitative and qualitative analysis brings together growing computational practices in generative design with the urban design challenge of planning and building transit oriented complete communities using urban data analysis. This grant explores the importance of qualitative factors such as social cohesion in complete community design and the opportunity to […]

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Développement d’un algorithme de retrait de la voix dans une trame audio pour la génération de signaux haptiques

L’entreprise D-BOX oeuvre dans le domaine du divertissement et de la réalité augmentée grâce à ses sièges avec rétroaction haptique qui offrent une expérience sensorielle plus riche, que ce soit pour l’industrie du cinéma ou celle des jeux vidéo. Bien qu’il soit possible d’annoter manuellement la trame haptique pour une scène de film, il est […]

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Realistic and High-Performance Rendering Renewal

The goal is to investigate the realistic appearance models for complex reflectance properties, modeling reflectance, masking and inter-reflection at many scales. In the end, comparison and basis-space representation will be leveraged to develop an interactive rendering application for pre-visualization and in-game portrayal of complex materials.

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Leveraging Stacks of Predictors for Efficient Inference and Uncertainty Estimation

Given the ever growing neural networks being developed and the abundant empirical evidence that model/data scale play an important role in enabling high-quality models of data, inference cost becomes a bottleneck to the deployment of state-of-the-art automated predictors. To address that, this research project aims to develop algorithms that can predict outcomes by combining predictions […]

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The Psychological Underpinnings of Church Conflict: Analysis of the Ukrainian and Moscow Churches situations in Ukrainian Orthodoxy

This comprehensive study aims to explore the root causes of the ongoing conflict between the Ukrainian and Moscow churches through a multidisciplinary lens. Drawing on literary and religious psychology analysis, the article examines the complex historical, cultural, and psychological factors that have contributed to the conflict, providing a nuanced understanding of the ongoing tensions between […]

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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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Enhanced Tool Support for Gradle Build Systems

The main goal of the project is to discover if program analysis approaches can be adapted to the context of Gradle build systems. Thus, during the research it is planned to implement support for Gradle build systems within an existing program analysis toolchain that have been developing at the University of Waterloo. (currently specific to […]

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Who are the ‘good Russians’ for Ukrainians during the full-scale war? Attitudes of the Ukrainian society to the Russian opposition in the social media space

The research project aims to examine the attitudes of Ukrainians towards Russians, particularly about the concept of ‘good Russians’ during the ongoing full-scale war. The study will include the exploration of the socio-historical background of Russian-Ukrainian relations, as well as the analysis of the changes in attitudes before and after the Russian aggression in 2014. […]

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