Syndrome Anomaly Detection System

Technologies that can speedily and efficiently analyze large amounts of data in real-time play a critical role in helping healthcare professionals and governments predict the impact and spread of a pandemic such as the Covid-19 virus over time. Our Syndrome Anomaly Detection System (SADS) is an innovative platform that uses artificial intelligence (AI) to capture […]

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Mobile energy efficient tissue culture laboratory for northern agriculture development and crop improvements

Food production and agriculture in Canada’s far North is met with many challenges. Short growing seasons, poor soil, extreme weather all impact the ability to effectively and efficiently produce food locally. In addition, Northern communities are at the end of a South to North supply chain, suspectable to multiple disruptions, both physical and economic. Our […]

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Evaluating the Implementation of Goal Management Training Cognitive Remediation Therapy among OSI Clients in Quebec City

There is an urgent need to address the mounting crisis of mental illness, and in particular posttraumatic stress disorder (PTSD), among military members and Veterans in Canada. PTSD is associated with changes in cognitive functioning across multiple domains (e.g., poor memory and attention) that can negatively impact military members and Veteran. Goal Management Training (GMT) […]

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Cloud Native Big Data Engineering and Automation

XLScout is a startup engaged in democratizing innovation and connecting research and development with intellectual property (IP) departments across the world. The company is developing proprietary algorithms, using Artificial Intelligence and Machine learning, to mimic the behaviour of an expert searcher. XLScout hosts a data vault of about 130+ million patent documents which occupies approximately […]

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Développement d’un outil d’analyse comparative des indicateurs, mesures, pratiques pour évaluer et comparer la performance des bâtiments institutionnels durables, intelligents et résilients au Québec.

Ce projet a pour but de développer un outil d’analyse des indicateurs, mesures, pratiques et moyens, qui sera utilisé pour suivre et comparer la performance des actifs immobiliers institutionnels. L’évaluation et le suivi de cette performance permet aussi d’établir un meilleur diagnostic de leur espérance de vie économique. De plus, l’analyse permettra de développer un […]

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STRATUM: A Digital Field Notes Tool for Archaeologists

Under the Lab2Market Program, the intern will develop and test a field notes tool called STRATUM to alleviate stresses caused by documentation in the field. The tool development will be guided by the results of three studies: 1) a qualitative investigation of user needs and sources of stress (already underway); 2) a preliminary survey of […]

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Intelligence artificielle pour le prétraitement des données chez Co-operators

L’historique des données que possède une entreprise d’assurance telle que Co-operators concernant leurs clients, les soumissions, les réclamations, etc., constituent un élément stratégique clé qui est au coeur du développement des affaires. La capacité de l’entreprise à utiliser, à manipuler et à interpréter ces données constitue un élément fondamental. Le prétraitement de ces données est […]

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Assembly and metabolic engineering of the biosynthesis of natural product pharmaceuticals in yeast

The rapid development of “Omics” technologies has accelerated the elucidation of complex biosynthetic pathway to rare natural product medicines, allowing the metabolic engineering of their production in alternative systems to provide sustainable production. As one of the simplest eukaryotes, yeast contains most of the cellular compartments and machinery for producing plant metabolites, while offering advantages […]

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Bid, Evaluate, Award (BEA) Cycle Analysis & Visualization

Measuring and assessing EPC project performance is an integral part of the management’s control function. EPC companies generate a lot of unstructured data. Visualization techniques have the potential to cope with such large datasets as are generated in EPC companies, by presenting subsets of these datasets in forms that provide useful insights for management teams. […]

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Examining the effectiveness of interactive digital media on children’s self-regulation through game-play and movement.

The proposed project plans to assist in the development of software that is designed to accompany traditional fitness equipment like stationary bicycles. By utilizing game-design elements in the software, in conjunction with the spin bike, our goal is to show improvements in physical exercise, self-regulation, and learning in children. We also plan to take a […]

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Utilizing Remote Sensing and Machine Learning to Improve Poultry Farm Productivity

Within the Canadian context, poultry farmers are constrained by regulations that predetermine chicken prices and market supply. As a result, they are limited in the approaches they can take to improve the profitability of their operations. Within this regulatory framework, farmers must rely on measures that can be applied on their farms to improve chicken’s […]

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