Joint Communication and Sensing Using Intelligent Retro-reflective Surfaces

This project explores a new approach to indoor localization using retroreflective Reconfigurable Intelligent Surfaces (RIS). Unlike conventional RIS that actively steer signals, retroreflective RIS naturally send radio waves back toward their source while still allowing programmable control. This creates stable and energy-efficient signal paths that can significantly improve positioning accuracy in cluttered or dynamic environments. […]

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Exploration efficace pour la conception de systèmes de transmission de données à énergie minimale

Les codes de correction d’erreurs (CCE) sont utilisés dans la plupart des systèmes de transmission et de stockage de données, car ils permettent une réduction significative de la puissance du signal émis (ou stocké), ce qui permet à l’émetteur de consommer moins d’énergie. Cependant, les CCE efficaces nécessitent une quantité d’énergie importante pour être décodés […]

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High temperature characterization and modeling of GaN transistors

This research project makes use of computer-based models in order to investigate the high temperature behavior of Gallium Nitride (GaN) power transistors. The GaN technology is finding more and more applications in different sectors like energy, transportation, and industrial systems due to the possibility of making power converters smaller and more efficient. The understanding gained […]

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A Systematic Design and Hardening of a High-Speed Transimpedance Amplifier in 65nm CMOS

High-speed communication systems used in satellites and advanced physics experiments face a significant challenge: they must be both incredibly fast and resilient enough to survive intense radiation. Often, the techniques used to make microchips radiation-proof also make them slow. This research project aims to solve this dilemma by designing a specialized microchip that acts as […]

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Prototype de « chatbot » pour aider les jeunes face à l’anxiété occasionnelle

Les problèmes de santé mentale (anxiété, dépression, etc.) touchent aujourd’hui plus de 650 millions de personnes à travers le monde. Les premiers symptômes apparaissent habituellement entre 14 et 24 ans. Bien que les solutions humaines et technologiques existent, il est difficile de trouver la bonne solution au bon moment. Le projet est de proposer un […]

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Advancing Data Science Research for Social Good

Due to rapid development of technology, such as the Internet of Things, collecting data is easier and cheaper than ever before. As a result, municipal governments and urban centres across Canada are being inundated with data—data that have potential to improve public service. Despite this, local governments do not have enough data expertise to extract […]

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Assessing and improving the performance of quantum annealing processors

Quantum computers are believed to offer significant advantages over classical computers, specifically in solving non-deterministic polynomially hard problems. One of the known schemes of quantum computation is quantum annealing, which is suitable for solving many types of hard optimization problems with a wide range of applications including machine learning, finance, security, and healthcare. D-Wave Systems […]

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Investigating How Teachers Learn and Customize Digital Classroom Tools

Our proposed research investigates how K-12 teachers learn and customize digital classroom tools and learning management systems and how they share this information with each other. In particular, we will be working with our partner Microsoft to investigate the use and customization of the recently developed OneNote Class Notebooks software that is increasingly being used […]

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Network Virtualization and Slicing in 5G Mobile Networks

Unlike services provided by current mobile networks only focus on voice and data, the services provided by 5G networks can range from high data rate services (e.g., VR) to ultra-reliable low latency communication (e.g., vehicle communication). Therefore, a more flexible and effective 5G mobile network is expected to be designed and operated. Network virtualization and […]

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Temporal Framework for Natural Language Processing with Convolutional Networks

In this research, we propose a model learning documents to fixed-length embedding vector space. This is meaningful, because in vector space, we can find similar documents or measure the relations between documents by simple linear algebra calculation. One of state-of-the-art methods is to apply deep Convolutional Neural Network on language sequences and thus learn different […]

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Intelligent Camera Switching

The “Intelligent Camera Switching” research project’s goal is to understand how multiple cameras can be utilized in a meeting space to ensure that remote participants have the best view of the people and activities that take place in the room. This “Best view” should be thought of as providing the best context for activities. A […]

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Using Analytics for the Optimization of Product Support Data

Enterprise Resource Planning (ERP) systems are used to store data records of activities underlying various business processes, from which Key Performance Indicators (KPI) are derived, providing visibility into the organization. How well the recorded information adheres to business processes and how well those are defined and implemented affect data quality, determining how KPIs accurately portray […]

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