Catalyser l’innovation en Outaouais, une recherche multisectorielle sur les pratiques d’innovation issues de la pandémie causée par la COVID-19

La pandémie mondiale causée par le COVID-19 a entraîné plusieurs problématiques pour un grand nombre de secteurs industriels. Afin de faire face à ces problématiques, des innovations sectorielles ont vu le jour. Ces innovations perdureront au-delà de la pandémie et pourront permettre l’élaboration de pratiques innovantes au sein de divers secteurs. Cette recherche vise l’identification […]

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Structural optimization of thin sheet metals subject to manufacturing constraints

The goal of the project is to develop an integrated platform for size, shape, and topology optimization of thin wall structures that can meet both manufacturing and performance requirements. The research fellow will receive guidance from Autodesk Researchers & Professionals as well as close supervision on the fundamental aspects pertaining the mechanics and optimization by […]

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L’intelligence artificielle au service de la cybersécurité : conception et développement de services pour des organisations plus autonomes

Avec la pénurie croissante d’experts en cybersécurité et l’imprévisibilité des attaques informatiques, les organisations canadiennes font face à des défis majeurs pour protéger leurs actifs informationnels. L’objectif dece projet est de concevoir et développer un portail comprenant des services en cybersécurité que ces organisations peuvent utiliser de manière autonome ou semi-autonomes pour évaluer leur sécurité […]

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Multimodal Representation Learning from raw data to detect customers emotional state in the financial industry

Currently, call centres effort in this matter is largely reactive. Someone calls in, they are upset, and agents respond accordingly. However, this approach is not always most effective, especially with difficult customers. Therefore, knowing the customers current emotional state is very important for appropriate problem solving. Affective computing can be used to detect and evaluate […]

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Dilution prediction and reduction in underground mines based on stoping methods using artificial intelligence

Given that dilution is a problem that reduces the profit of many underground operations, the dilution monitoring, prediction, and reduction convey the capability to increase operational efficiency. The proposed research aims to develop an unplanned dilution monitoring, prediction, and reduction tool. The research methodology will be based on artificial intelligence (AI)-based models. More specifically, the […]

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Transition model for insurance risks

Car (automobile) insurance is a very common type of insurance: policyholders pay a premium to get financial compensation in case an accident happens with their cars. Insurance companies use complex calculations and a lot of information to determine the value of these premiums. More specifically, they must also consider their expectations of the future. Predicting […]

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False Data Injection Attacks Targeting Power System Generation Control/Scheduling and Their Mitigations

Electric power systems are subject to cyberattacks. In this project, we intend to investigate false data injection attacks (FDIAs) targeting the automatic generation control (AGC) and the economic dispatch (ED) of electric power systems. Such a class of attacks may significantly affect the system frequency stability and result in huge economic loss and even catastrophic […]

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Automation of multi-factorial neurodevelopmental toxicity and neurodegeneration analysis using Ananda Devices NeuroHTSTM plates

Ananda Devices has developed an innovative technology to produce high-throughput organ-on-chip technology for commercialization in the pharma industry and cosmetic industry. For cost effective and fast commercializing the device, semi automation/automation is required for the high throughput data analysis. Further validation of the automation algorithm is required for data accuracy. So, our aim is to […]

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Opérationnaliser l’entrepreneuriat responsable et la tri profitabilité au sein de l’entreprise MOS (9358-3433 Québec inc.)

Le présent projet de recherche vise à outiller et fournir des pistes de solutions concrètes aux entrepreneurs, et plus particulièrement aux fondateurs et gestionnaires de l’entreprise québécoise MOS (9358-3433 Québec inc.), afin de faciliter l’intégration et l’opérationnalisation de la responsabilité et de la durabilité sociale, environnementale et économique à leurs stratégies d’affaires ainsi qu’à leur […]

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Developpement d’appiication mobile pour la carboneutralite

Le projet de recherche consite en Ie developpement d’une application mobile permettant la quantification carbone de differents projets. L’etudiant devra developper la methodologie de quantification carbone visant les evenements, les voyages, et les petites entreprise. De plus, etant donne que Ie projet s’enligne dans une perspective dedeweloppement durable, Ie stagiaire devra et approfondir ses connaissances […]

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Genome-scale metabolic models for the characterization of genetically modified microalgae for cannabinoid production

Algae-C is a company specialized in algal biomass production. It enables on-site production of algae for a wide variety of sectors (aquaculture, nutraceutical, cosmetic and biofuel). To date, many fuels, pharmaceuticals and cosmetic products are extracted from plants. These valuable plant natural products (PNPs) are often produced in low quantities in plants and extraction methods […]

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Modélisation de la corrélation des pertes pures par chapitre pour l’assurance-auto au Québec.

Les modèles de tarification actuels en assurance-automobile traitent les chapitres (responsabilité civile, collision responsable, bris de vitre, vol, etc.) comme étant complètement indépendants les uns des autres; la fréquence et le coût moyen des réclamations sont aussi généralement considérés comme indépendants! Notre objectif est d’explorer de nouveaux modèles de tarification qui tiennent compte du fait […]

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