Automated Threat Hunting for Early APT Identification

Advanced Persistent Threats (APTs) present a significant challenge to organizations due to their sophisticated, stealthy, and persistent nature. Traditional reactive security measures often do not detect these threats in real-time, leaving systems vulnerable to long-term exploitation. This research project will explore how to automate threat hunting to proactively identify APTs in real time, reducing manual […]

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Identification des profils de réussite chez les entrepreneurs agricoles de la Mauricie

Cette recherche permettra à la Fédération de l’Union des Producteurs Agricoles de la Mauricie (FUPAM) de connaître les différentes compétences et habiletés requises chez les entrepreneurs agricoles afin d’assurer leur succès en affaires. Pour y parvenir, nous identifierons des entreprises agricoles qui connaissent du succès ainsi que d’autres dont la performance est plus mitigée. Ces […]

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L2M QC Spring 2025 | Optimisation de la Maintenance Prédictive des Broyeurs SAG Mill par Intégration de l’Acoustique, du Traitement du Signal et de l’Intelligence Artificielle dans l’Industrie Minière

L’industrie minière canadienne joue un rôle clé dans l’économie nationale, représentant 5 % du PIB et employant directement plus de 400 000 personnes. Cependant, les arrêts non planifiés des broyeurs SAG Mill entraînent des pertes économiques considérables, atteignant plusieurs milliers de dollars par heure. Ce projet vise à répondre à ce défi en développant une […]

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L2M QC Spring 2025 | InkTiO: Revolutionizing Electronics with Sustainable Printed Solutions

The proposal seeks to improve the technology readiness of a new family of printable (liquid-based) ink formulations designed for the advanced manufacturing sector. These chelated sol-gel materials have a low viscosity, allowing their use in a commercial digital inkjet-printing equipment. Most importantly, they are designed to offer the unique ability to convert from liquid to […]

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L2M QC Spring 2025 | Nextdriv – An Integrated Decision-Support Platform for EV Fleet Transition and Optimization

Nextdriv is a user-friendly platform that helps fleet operators plan and manage the switch to electric vehicles. By using smart tools and data analysis, it makes it easier to choose the right vehicles, optimise daily operations, and even take advantage of energy market opportunities. For our partner organisation, this means a smoother, more cost-effective transition […]

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Uncovering the genetic basis of adaptation during the course of rapid experimental evolution in nature

Nature is experiencing an ever-changing world where dramatic environmental changes require species to adapt rapidly to new conditions. As a result, understanding when species can rapidly adapt and persist has become crucial to ensuring the preservation of vulnerable populations such as freshwater ecosystems. The current project addresses our limited understanding of the parallelism of adaptation […]

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In vitro three dimensional models of breast cancer-cell metastasis to bone.

This MITACS Globalink Award research proposal aims to engineer and characterize biomimetic dense collagenous gels as in vitro models for studying breast cancer metastasis to bone. At McGill, we have advanced the Gel Aspiration-Ejection (GAE) technique, a robust and simple method to create 3D anisotropic, cellular dense collagen (DC) gels. By applying negative pressure, collagen […]

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Évaluation de l’utilisation du BIM pour deux aéroports au Québec

Le Building Information Modeling (BIM) est une véritable révolution dans la réalisation des projets de construction. Les technologies qui lui sont associées devraient permettre des gains appréciables dans la qualité, les coûts ainsi que les délais de réalisation tout en augmentant la productivité dans la conception et la construction. Cependant de telles retombées ne sont […]

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Applicability of functional size measurement to quantum error correction software

The primary objective of this research is to measure error correction schemes in quantum computing and their impact on the functional size of quantum software. By analyzing various Quantum Error Correction (QEC) methods, the research aims to optimize quantum software measurement and development. Additionally, a key goal is to define specifications for an automated tool […]

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