Decreasing the Energy Performance Gap and Thermal Loads in Residential Dwellings Using Machine Learning and Building Energy Modeling

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 […]

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Thrive Health: Designing a Personal Health Story Visualization Interface

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 […]

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Trajectory generation using 2D images and reinforcement learning

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. […]

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La télévigilance au service du maintien à domicile pour mieux comprendre et accompagner les personnes âgées: : Évaluation de programme

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 […]

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Manjot Singh Internship

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 […]

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TIC éco-responsable et marketing numérique

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 […]

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Nature-based air purifier integrated with biochar-cellulose aerogels with long-term durability and multi-pollutant removal capacity

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 […]

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Machine Learning and Interactive Visualization to Detect Dose Associated Adverse Drug Events in Drugs Prescribed to Older Adults

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 […]

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Prescriptive Machine Learning in Pediatric Cardiology

Recent technological advances in data collection, transmission, visualization, and machine learning make it possible to develop healthcare systems with the aim of monitoring the health status of patients. Pediatric Cardiologists rely on referrals from family physicians for abnormal heart conditions. Family physicians are not trained well enough to recognize abnormal murmurs and err on the […]

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Development and numerical simulation of a novel pneumatic conveying system to transport hemostatic powder for managing non-compressible torso hemorrhage

Severe bleeding is a life-threatening medical emergency that can potentially result in death. Although there are currently available treatments to stop severe bleeding from injuries, these treatments have their limitations and may be ineffective for specific types of bleeding, such as non-compressible intra-abdominal bleeding. The goal of this proposed project is to conduct research on […]

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Développer la culture et la capacité d’évaluation au sein de partenariats intersectoriels en promotion des saines habitudes de vie

Propulser des partenariats intersectoriels est reconnue comme une stratégie incontournable à la promotion efficace et équitable de la santé. En tant que Table intersectorielle régionale sur les saines habitudes de vie (TIR-SHV), l’organisme Montréal métropole en santé (MMS) est tenu de mobiliser et soutenir les acteurs nécessaires à la promotion de SHV sur l’île de […]

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Les algorithmes de recommandation des plateformes numériques comme instruments de politique culturelle? Perspectives juridiques et sociotechniques de la découvrabilité

L’ascension rapide des géants du numérique dans le secteur culturel ainsi que l’évolution continue des pratiques en ligne représentent aujourd’hui l’un des défis majeurs pour la préservation de la diversité des expressions culturelles. Les stratégies adaptatives adoptées par les grands acteurs mondiaux, qui dominent actuellement la plupart des activités culturelles en ligne, créent un environnement […]

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