Quantum-Hybridized Cloud Integration for Next-Generation Security and Performance

The main goal of this research endeavor is the development of a hybrid cloud infrastructure that incorporates quantum computing techniques into its design in order to increase the security, scalability, and level of usability of existing cloud computing systems. This specifically means integrating the more sophisticated aspects of quantum computing, such as quantum cryptography and […]

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Implantation d’une bibliothèque numérique d’apprentissage pour soutenir la trajectoire d’apprentissage des patients hospitalisés dans la trajectoire de récupération améliorée après la chirurgie : Étude pilote d’acceptabilité, de faisabilité et d’effets préliminaires

L’enseignement auprès des patients est un aspect crucial à la trajectoire de récupération améliorée après la chirurgie (RAAC). L’environnement numérique d’apprentissage (ENA), incluant un espace de suivi des apprentissages en ligne, représente un outil utile pour assurer un transfert d’informations plus spécifique et pédagogique. Ce projet vise à explorer l’acceptabilité, la faisabilité et les effets […]

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Journalism Representation Index (JeRI)

In partnership with NovaceneAI, computer science and journalism researchers from Toronto Metropolitan University will continue to develop an AI-powered product (Journalism Representation Index, or JeRI) that gives journalists and media consumers a tool with which to analyze the sources cited in journalism reports. The primary goal of the platform is to provide an evidenced-based structure […]

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Enhancing atomic quantum memory through collective atomic behaviours

Quantum memories are key components in the development of a quantum network. Among their many uses, these memories will facilitate the synchronization of quantum signals at repeater nodes, which are a crucial technology for extending the long-distance reach of quantum communications. Quantum memories facilitate the transfer of quantum information from electromagnetic signals into matter-based quantum […]

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Rigorous development of database backends

Using a verification-based approach for database storage backends has the potential to avoid such bugs, but specifying the complexity of a modern backend upfront is a daunting task. To decompose the problem into smaller pieces, we base our approach on the following insights: (1) There are two broad classes of backends: eager, state-based maps, vs. […]

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High-frequency monitoring of the start-up and temperature impacts of a biofilm-enhanced

Lagoons are the most popular wastewater treatment technology in Canada with hundreds of installations across the country. Most of these systems will require upgrades in order to increase their treatment capacity or to comply with new regulations such as the Wastewater Systems Effluent Regulations registered by the Government of Canada. Bionest is developing at the […]

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Enabling Customization of OS Memory Eviction Policies

The project aims to optimize memory management in operating systems by allowing user-space applications to design custom memory eviction policies. Traditional memory management policies, embedded in operating systems, often perform well on average but fail to deliver optimal performance for specific applications. This research will explore the use of eBPF technology to create more tailored […]

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L2M QC 2024 – « Sickle assist »

Résumé projet : SICKLE ASSIST Notre plateforme se distingue par son approche innovante, remplaçant les méthodes manuelles traditionnelles par des algorithmes d’apprentissage automatique. Ces derniers permettent une surveillance personnalisée des patients à travers les bilans biologiques, leurs complaintes, en identifiant les risques potentiels de complications et en priorisant les interventions en conséquence. En analysant les […]

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L2M QC 2024 – « Real-time optical processor for next-generation telecom interconnect.»

Over the past decade, the telecommunication sector progressed and evolved quickly due to the installation of cloud-based artificial intelligence, which now needs at least data rates of 1.6 Tb/s and beyond to meet global demand. These changes are pushing the industry towards deploying scalable, highly performing, and low-energy-consuming computing units in telecom interconnect infrastructure. This […]

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L2M QC 2024 – « Infonuage télé-robotique : validation du besoin commercial des robots téléopérés dans les infrastructures en régions nordiques ou éloignées »

Le produit et les services qui sont étudiés dans l’analyse de marché visent à résoudre le problème de l’accessibilité et de l’efficacité des interventions dans les sous-stations électriques situées dans des zones éloignées et difficiles d’accès, en particulier dans le grand nord canadien. Ce stage favorisera l’étude du marché et la validation de la solution […]

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L2M – Enabling knowledge transfer between science education and coastal communities by leveraging generative AI and climate science publications

There are over 250 million scientific publications and reports with an increasing rate published each year, yet many are not accessible to the public due to their technical language and content hidden behind paywalls. This project aims to leverage AI (Artificial Intelligence) and a curated database of ocean-climate literature to enable educators and students to […]

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Remote Video Surveillance using LEO Satellites Communications

Video surveillance systems have rapidly expanded, driven by their critical roles in security and traffic monitoring. This expansion has produced vast data volumes, causing bottlenecks in communication systems due to the time-sensitive and bandwidth-intensive nature of surveillance data. To address these challenges, research has increasingly focused on developing algorithms to compress redundant data effectively, evolving […]

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