In the modern era of increased digital and online operations, Security Operation Centers (SOCs) serve as frontline warriors, diligently monitoring and responding to a myriad of cyber security incidents. The SOC team at the project partner’s organization routinely investigates and responds to similar security incidents faced by clients. This project focuses on improving the quality […]

Bearings are crucial components in various industries, such as power generation, aerospace, and oil and gas. Predicting a bearing’s Remaining Useful Life (RUL) is essential for Condition-Based Maintenance. To achieve accurate RUL predictions, an accurate Health Indicator (HI) that represents degradation patterns is necessary. However, existing HIs can be affected by time varying working conditions […]

5G is the latest and fastest wireless internet technology that is not only being used by phone companies, but also in businesses, factories, and the military. As 5G is being used in more places and for different purposes, it gets more complicated and faces more security risks. Imagine many different gadgets, from phones to cars […]

Favorable propagation studies for massive MIMO systems: mMIMO is a key technology for 5G and beyond, due to its ability to deliver high spectral efficiency/rate in multi-user environments using simplified (linear) processing. Its advantages can be fully exploited under certain conditions known compactly as “favorable propagation” (FP). Unlike the known methods, which rely on sophisticated […]

The energy demand of the residential sector in Canada represents 12% of the total energy use. About 64% of such demand is assigned to space heating requirements. Adoption of energy-efficient systems is usually driven by long-term savings. Many passive energy reduction measures haven’t been implemented due to the decreasing credibility of simulation software which lacks […]

This project aims to develop a user-friendly visualization system for Thrive Health, a digital health solutions company. The visualization interface will be designed to effectively present a person’s health journey. This will be particularly helpful for patients with complex health conditions, as it will enable them to communicate their situation more clearly to their healthcare […]

The research project is about teaching robots to build things on their own. We’re going to use artificial intelligence (AI) algorithms to make them understand how to put together things, like furniture, without needing lots of human help. We’ll make them practice in a simulation first, so they get really good at the assembly task. […]

Ce stage Mitacs s’inscrit dans le cadre d’un projet d’implantation d’une technologie permettant de télésurveiller les activités de la vie quotidienne, nommée VigIxia, qui aura lieu cet automne au CIUSSS Centre-sud-de-l’île-de-Montréal (CCSMTL). Le CCSMTL et VigIxia réalisent cette implantation d’un nouveau service dans le cadre des Projets vitrines du Ministère de la santé et des […]

Project StrokeSENS The software features proposed for StrokeSENS 2.x, which is under development from September 2023 and planned for release in early 2024, with subsequent release in the second half of 2024 are: • StrokeSENS Platform (Q1 2024) o Functionality related to transfer of medical image data and image analysis results • StrokeSENS LVO (Q1 […]

L’industrie numérique est responsable de 4% de l’empreinte carbone planétaire annuelle. Ecoist Club est une entreprise qui cherche à réduire les impacts environnementaux du numérique. En réunissant des experts en numérique durable, Ecoist Club développe des outils pour apprendre (services-conseils), mesurer (calculateur GES) et agir (planification stratégique). En 2022, Ecoist Club a créé le premier […]

Indoor pollution sources (e.g., fuel-burning combustion appliances, building materials, and furnishings) are the primary cause of indoor air quality problems. Household air pollution was responsible for an estimated 3.2 million deaths per year in 2020, including over 237,000 deaths of children under the age of 5. To address this problem, we developed a nature-based air […]

In this research project, we aim to address the uncertainties in the efficacy, safety, and dosing of prescription drugs, particularly for older adults who are more likely to take multiple medications. Pre-market drug trials often exclude the older population, leading to potential risks. Our proposed method involves utilizing machine learning and interactive visualization techniques to […]