Assessment, Piloting and Establishment of a Green Health Care Revolving Fund to Enhance Implementation of Energy Efficiency Projects at Health Care Facilities

The objectives of the research is to identify and quantify barriers to energy efficiency in Ontario Hospitals, to identify methods to confront these barriers, including through the use of revolving funds, and to provide a case study by designing, implementing and measuring the results of a revolving fund to be set up for the Hart […]

Read More
Security Analysis of POLARIS

Blockchain and distributed ledger technologies provide networks a method to ensure trust in the network while not relying on a central authority, or even any individual node in the network. Moreover, these technologies enable secure transaction and recording keeping within the network by using distributed consensus to verify the actions of users and cryptographically linking […]

Read More
Enrichissement des données administratives en santé avec des données géospatiales pour un système d’aide à la décision de prévision des résultats de santé

Le but de ce projet est d’utiliser une base de données administrative en santé enrichie par des indicateurs géographiques et géospatiaux pertinents (exposition aux risques, accès aux ressources, facteurs sociaux et environnementaux) permettant de prédire les résultats et les coûts de santé et, partant, la valeur des soins de santé pour les patients et parmi […]

Read More
Accelerated and sensitive detection of (bio)chemical analytes through active capture on Surface-enhanced Raman scattering (SERS) chips

Surface enhanced Raman scattering (SERS) is emerging as a promising technique for rapid, ultrasensitive and highly specific (bio)chemical detection. SERS has been successfully used for the detection of minute quantities of illicit drugs, food contaminants, environmental pollutants, even bacteria and viruses. Unfortunately, like most other surface-based detection methods, SERS also suffers from the same bottleneck, […]

Read More
Comparison of “Maxwell” Plate Electromagnetic Modelling and General, Full-Physics Modelling for Thin, Conductive Mineral Exploration Targets

This proposal outlines research work that will compare the capabilities and accuracy of a common, fast but approximate approach to computer modelling of geophysical electromagnetic (EM) data with an approach that considers a much more complete description of the modelling problem. The primary goal is to determine for what situations the plate-based modelling is adequate […]

Read More
Architectural and Design Modelling for Blockchain-Intensive Systems

Blockchain technologies are increasingly becoming integral parts of information systems in domains that exhibit an increased need for resilience and can make no assumption of trust between parties. However, properly adopting blockchain in an information system design remains difficult, unsystematic and requires thorough understanding of the technology. In this project we explore ways by which […]

Read More
An electrochemical microfluidic sensor for cannabinoid detection

Cannabis legalization creates a pressing need to improve existing screening methods. Currently, the two devices approved by the office other the attorney general of Canada (i.e. the Drager 5000 and SoToxa) have not been embraced by the vast majority of police forces who deemed both options unaffordable, difficult to use and inaccurate. The present project […]

Read More
Identifiability of latent factors through multiple self-supervision

Human perception has developed the ability to decompose scenes into fine grained elements. This lays the foundation for strong generalization to new situations where the base concepts can be recomposed to interpret objects never seen before. While it has been shown that, in the general case, proper decomposition is not possible, new paradigms provide provable […]

Read More
Virtual Energy Analysts & Transitioning Commercial Buildings to Net Zero

Owners of large commercial and institutional buildings are looking for ways to cut operating costs, reduce emissions, and green their operations. To make this process quicker, more responsive, and lower-cost, Edge Energy Technologies is developing a Virtual Energy Analyst Service. The goal of the service is to use real-time data to inform analysis of building […]

Read More
Battery pack thermal prediction and fault detection using machine learning

This project aims to use machine learning to determine the thermal state of a battery pack used in electrical vehicles. In fact, battery pack are made of numerous individual cells, and it is essential to monitor their respective state to ensure the battery pack operates in ideal conditions. By doing so, the autonomy of the […]

Read More
Développement de solutions industrielles pour le traitement laser de surfaces métalliques

Le traitement des surfaces est une pratique courante dans l’industrie manufacturière afin d’améliorer les propriétés mécaniques des pièces. Cette technique est particulièrement exploitée dans l’industrie automobile, où les surfaces de pièces risquent d’être endommagées. Les traitements couramment utilisés sont souvent complexes, aléatoires et dommageables pour la surface traitée. Le traitement par laser est ainsi une […]

Read More