Cardiovascular diseases are the leading cause of death worldwide, yet long-term continuous blood pressure monitoring, an accurate technique for prevention and early detection, remains largely unavailable outside of clinical settings. Such measurements presently require invasive, expensive, and impractical instrumentation thus preventing widespread use in non-clinical settings like at home and in research. This project aims […]

As cyber threats grow more sophisticated, attackers increasingly exploit scheduled tasks to maintain persistence and evade detection. Traditional security measures struggle to distinguish between legitimate and malicious task executions, especially when attackers modify execution parameters. Additionally, identifying and attributing threats to known adversaries remains a complex and resource-intensive process, relying heavily on human analysts and […]

This project will design and deploy a citizen-science game to harvest passages of language for a database to support Advanced Natural Language Processing.

Due to the vast amount of available tracking sensors in recent years, high-frequency and high-volume streams of data are generated every day. Such tracking sensors include but are not limited to vessel, airplane or vehicle tracking data, drones, smartwatches and smart bands as well as cameras and earth observation sensors. Despite the overabundance of data […]

Machine Learning (ML) models are known to leak information about the data they were trained on, enabling membership and reconstruction attacks [7]. Such privacy risks damage trust in ML, and hinder the broad adoption of model co-training, through Federated Learning or cloud-based co-training. This is especially true in sensitive domains that could significantly benefit from […]

Denture assemblies are oral appliances or prosthetic devices to replace missing teeth and restore oral function, speech, and aesthetics. The dentures market is driven by the senior population and demand, which is expected to grow by 68% in the next 20 years according to the Canadian Institute for Health Information. This demographic also often suffer […]

The proposed project involves using advanced remote sensing technologies, such as optical imagery, Synthetic Aperture Radar (SAR), and LiDAR, to map and monitor blue carbon ecosystems like mangroves, seagrasses, and salt marshes. These ecosystems play a critical role in climate change mitigation by storing significant amounts of carbon. By focusing on Quebec’s coastal areas, the […]

Les prothèses myoélectriques permettent aux personnes amputées de contrôler un bras artificiel en captant les signaux électriques des muscles, appelés signaux électromyographiques (EMG). Cependant, ces prothèses restent limitées par des variations de ces signaux, causées par des facteurs comme la sueur, la fatigue ou le déplacement des électrodes, ce qui entraîne des pertes de précision […]

Chemical property predictions using quantum machine learning (QML) lie at the intersection of machine learning, quantum computing, and computational chemistry. QML models often use parameterized quantum circuits (PQCs) that abstract gate-level quantum operations but offer limited flexibility in adjustable parameters. To enhance QML model performance and generalizability, incorporating pulse-level operations, which lie below gate-level in […]

Gravitational lensing occurs when a massive object, such as a galaxy cluster, bends the fabric of spacetime, turning it into a magnifying glass that focuses the light from a distant object behind it. This phenomenon allows astronomers to observe faint astronomical objects and some of the earliest faraway galaxies or black holes that would otherwise […]

This research aims to advance the field of federated learning by addressing privacy, domain shifts, and personalization challenges, particularly in the context of mobile and digital healthcare. By developing robust and scalable solutions, the proposed framework has the potential to significantly enhance patient care, diagnostics, and personalized treatment while maintaining stringent privacy standards

HPN is building a hyperautomation platform using data science, artificial intelligence (AI), and machine learning (ML) techniques to hyperscale its unique business model. The expected outcomes from this platform will be scale up of revenue internationally along with improved operating margins; enhanced member and customer experience through self-service and AI concierge services; and innovation in […]