Toward microservices: an intelligent modernization and optimization of service points location system at Hydro-Québec

This partnership project with Hydro-Québec focuses on providing a better-informed optimization for service point location and modernizing the architecture of the optimization system. Our objective is to leverage the abundant data from Hydro-Québec to build robust forecasting models that can predict the workload demand at each potential or available service point. We also aim to […]

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Discovery and synthesis of novel anti-viral compounds

Our ultimate goal is to develop small molecule drugs and validate their roles in viral replication inhibition. Collectively, we have the expertise in molecular and cell biology, biochemical, structural biophysical, and drug-discovery platforms. We have all the required infrastructure and resources available to realize our goals. Development of small molecule drug as antivirals include many […]

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Développement d’un outil de détection des ponceaux par intelligence artificielle

Au niveau des municipalités, la gestion des ponceaux est de la responsabilité des gestionnaires de la voirie. Cependant, l’inventaire complet des ponceaux n’est pas toujours disponible en raison de l’éloignement de certaines zones rurales, et la non disponibilité historique des données du ministère des Transports du Québec pour ce type d’infrastructure. Afin de détecter et […]

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Development of Novel Methods for the Automated Extraction of Lipid-Soluble Compounds Year One

Current analytical methods for the extraction of lipid-soluble compounds (fatty acids, cholesterol, antibiotics, pesticides, vitamins) are costly and time-consuming. Recently, we have assessed a novel patent-pending “kit” method for extracting fatty acids and cholesterol from food and tissues with great success. We propose to continue testing this method for extraction of lipid-soluble vitamins, pesticides and […]

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Visualizing the Performance of Scientific Applications Executing with Space-Time Domain Decomposition

Today’s high performance computers offer the possibility of computing complex large scale computational fluid dynamics simulations in a reasonable time. In practice, exploting the thousands of computing cores to achieve the desired solution time is very challenging. These challenges include finding enough work to keep all these cores busy, and assigning work to different parts […]

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Mise en place d’une stratégie innovante de développement de marché

FOP EXPERTS CONSEILS est une firme (PME) de consultation située dans la région métropolitaine de Montréal qui supporte des clients dans le domaine de l’ingénierie et des sciences dans le segment (bio)pharmaceutique, agroalimentaire, cosmétiques, des dispositifs médicaux et des TIC. Face à la concurrence qui s’évit dans les différents segments de marchés identifiés, jumelée à […]

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Development of a Mental Health Literacy and Self-Management Resource for People with Mild to Moderate Intellectual Disability

People with Intellectual Disability (ID) experience higher rates of mental health disorders compared to the general population and yet access services to a lesser degree. The present project will begin to address the lack of access to mental health services by providing a resource designed to enhance mental health literacy, and provide validated self-management strategies […]

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Innovating at the Intersection of Emotions and AI-based Language Models

Canadians have experienced tremendous mental health challenges over the last few years. At the same time, systems to address mental health are over-burdened. There is thus a clear need to scalable and low-cost technologies that could support the mental and emotional wellbeing of Canadians. This project is about developing innovations in artificial intelligence that could […]

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Arctic Research Foundation – Serverless DevOp

The general objective of this project is to ensure that the development cycles for the ongoing ARF project are reliable and will focus on areas of Continuous Integration and Continuous Deployment (CI/CD). Automated testing evaluating and using tools such as Cypress or Enzyme and increasing observability of the solution by exploring tools like AWS XRay […]

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