Ce projet de recherche consiste à investiguer et développer le contenu pédagogique nécessaire pour un logiciel de simulation et à valider l’outil auprès d’étudiantes infirmières au baccalauréat. À part les mannequins de haute fidélité utilisés dans certaines écoles infirmières, il n’existe pas à notre connaissance d’outil techno-pédagogique permettant de pratiquer l’évaluation clinique et la documentation […]

Randomly created question and solution problem sets will frequently include scaled images that are generated with a series of variables. These figures contain labels for such things as dimensions, coordinates, angles, sub-titles and vertex names. When images are created manually, labels are placed in a manner which avoids them from obscuring other labels or the […]

Four research projects addressing issues related to computer network and web security are proposed. In Project 1, the development of a novel self-learning anomaly detection tool is proposed to protect web servers against emerging elaborate attacks (such as spamming, multi-step and zero-day attacks). This tool will be developed using Machine Learning and Data Mining techniques. […]

This project will investigate and develop advanced algorithms for high dynamic range projection using caustic image formation. These algorithms dynamically redirect light from dark image regions to bright regions, which addresses the problems of low peak luminance and poor black levels in current projectors. The algorithms will improve upon existing lensing methods by increasing computational […]

This research investigation aims to assess a set of well known NP-Hard problems that are currently only solvable with an approximation, and prototype implementations of a general solution to their class of problem previously developed by 1QBit. This requires a series literature and prior art reviews, prior to the development of new algorithms and code […]

At Elements Athletics, we’re using technology to make sports safer and more enjoyable for everyone. Our flagship tool, Mic’d Up, uses artificial intelligence to analyze referee audio from games, detecting verbal abuse and helping sports organizations enforce their conduct policies. Through this Mitacs project, we’ll improve our internal annotation dashboard to streamline audio review and […]

Les forêts tropicales sont de plus en plus menacées par la déforestation, les incendies et les perturbations climatiques. Afin de surveiller la biodiversité et de prévoir les tendances spécifiques à chaque espèce, les chercheurs ont commencé à utiliser des technologies aériennes sans pilote (i.e. drones) pour identifier les espèces et cartographier la forêt. Cependant, les […]

Canadians are increasingly using cycling as a means of transportation. However, understanding the risks is problematic as data is limited. To address this, the Spatial Pattern Analysis and Research (SPAR) Lab has created a web-map, BikeMaps.org, to gather data from cyclists on crashes, near misses, hazards, and thefts. Cyclists around the world have enthusiastically begun […]

Metafor is developing a new class of IT system management solution to monitor computer and application activities, and alert when anomalous behavior occurs. Current commercial tools for anomaly detection use simple statistical rules and thresholds to detect anomalies. These methods are failing for today’s dynamic cloud environment where change is constant. As a result, IT […]

This project will contribute to the design and building of the systems behind our clinical-facing applications for automated point-of-care ultrasound interpretation. Working closely with our product, AI, and regulatory teams, the project focuses on building real-time respiratory imaging tools that bring immediate diagnostic answers to patients — whether at the bedside, in the back of […]

Hemophilia is a genetic bleeding disorder in which the blood flow is impaired from clotting. If you have hemophilia, you may bleed for a longer time than others after an injury. The primary goal of our work is to enable patients with the condition to make effective decisions when injuries occur. For instance, our proposed […]

1QBit is midway through our effort to create a software suite (Topological Quantum Architecture Design (TopQAD)) that automates quantum architecture design and enables you to study the impact of quantum algorithm and FTQC component design choices on resource requirements. It can be used to support scientific research, product development, and quantum computing policy and investment […]