Ce projet de recherche est fait en collaboration avec le département de Recherche et Développement de la compagnie Optimum Réassurance Inc. Il a pour but de faire usage des concepts et des outils d’analyse prédictive, de l’apprentissage automatique et statistique pour développer des méthodes de modélisation et de prédiction des réclamations et des comportements des […]

This project aims to train machine learning models that use millimetre-wave radar data to non-invasively detect health incidents, such as overdoses in public bathroom stalls. The partner, Brave Technology Coop, has developed a small, wall-mounted, radar sensing unit on which we want to directly deploy real-time gesture detection software, an instance of cutting-edge “Edge AI.” […]

Competitive team-based digital games like League of Legends, Overwatch and Dota 2 are increasingly popular. These games require intense teamwork but achieving good teamwork is challenging because teams typically comprise of strangers who need to learn to work together in an extremely short amount of time. The match outcome depends on how quickly teams develop […]

The most successful computer vision approaches are based on deep learning architectures, which typically require a large amount of labeled data. This can be impractical or expensive to acquire. Therefore, few-shot learning techniques were proposed to learn new concepts with just one or few annotated examples. However, unsupervised methods such as generative adversarial networks (GANs) […]

The overarching objective of this research project is to design, develop, and test, a reporting automation platform that is able to gather data (in the form of metrics, graphs, tables) from several security software and 3rd party tools, aggregate the data if needed, generate metrics, build reports and upload them to another tool with a […]

Cloud, which is no longer a future trend, has led to a paradigm shift in the design of security services. With so many dynamic features offered by cloud service providers, the assessment of potential threats, cloud vulnerabilities and software security concerns can help in securing cloud customers from inside and outside threat. In this research, […]

In the technology sector, there are so many different computing systems that they need a way to communicate with each other. When different technologies can share information and work together to solve tasks, the benefits of computing are amplified. For example, smart home devices are much more convenient when they all communicate with one platform […]

Jusqu’à 40% des patients hospitalisés pour évènement cardio-vasculaire majeur (infarctus du myocarde, insuffisance cardiaque, chirurgie cardiaque) sont diabétiques. Au décours de cet épisode de soins, de nouveaux objectifs de traitement et de prévention cardio-vasculaire sont fixés généralement au patient en accord avec les recommandations canadiennes en cardiologie et en diabète. Ces objectifs sont malheureusement rarement […]

With the increasing requirements for smart vehicles in recent years, driving activity recognition in vehicles becomes a promising direction given its unique advantages in safe driving and human-car interaction. It can not only alert the driver when there exist distracted driving behaviors but also enable novel human-car interactions with gesture-based control. Most state-of-the-art systems use […]

The internship project involves performance improvement in current cellular networks through wireless backhaul interference mitigation. In particular, the problem of RBM to hub assignment and resource allocation amongst the hubs are tackled in the uplink transmission of wireless backhaul networks. The intern is expected to investigate current developed algorithm at BLiNQ Wireless Inc. as well […]

A notorious phenomenon limiting general-purpose computing today is memory wall. Memory – the hardware used to store the data- is located relatively far from the central processing unit (CPU), so applications spend a lot of time waiting on data to travel from memory to the CPU. New memory hardware, such as the one addressed in […]

The goal of this research is to investigate and build a recommendation system that suggests charities to users based on their previous donations. One of the first successful recommendation systems was Amazon’s “Customers who bought this, also bought…”. This recommendation system focuses mainly on making it easier for users to find relevant information and increasing […]