Optimizing cellular agriculture supply chains for social, environmental and economic benefits

We are developing a circular economy computational model for cellular agriculture supply chains to identify the potential social, environmental and economic benefits of using underutilized resources as inputs. This project will identify synergies between unlikely actors who could exchange resources – such as pea starch (byproduct of pea processing) that can be used as raw […]

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Traitement biologique des contaminants dans les eaux de ruissellement de mines d’or

Nous proposons d’optimiser un traitement biologique pour offrir l’opportunité aux compagnies minières de bien traiter les eaux de ruissellement qu’elles génèrent et ainsi en minimiser l’impact environnemental. Le partenaire industriel, John Meunier Inc, a mis au point un système fonctionnel de ce traitement biologique à l’échelle laboratoire mais est confronté à certaines difficultés pour l’optimiser […]

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Point of care ultrasound in rural British Columbia: An investigation of quality and effect on clinical management decisions

Health care providers perform ultrasound exams to see a patient’s internal physiology (e.g., organs). Point of care ultrasound (PoCUS) refers to ultrasound exams performed at the bedside by a physician not specialized in imaging. PoCUS use by general practitioners is increasing, including in rural British Columbia (BC). Rural PoCUS has the potential to improve the […]

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From Data Cleaning, Design and Migration to Portfolio Construction for Effective Recommendations and Decision Making in the Charity Domain.

Charity donations have long been a feature of society smoothing the differences between rich and poor. In the past these donations were handled manually using a variety of ah hoc means. This continuing project aims at systematizing the donation process by implementing an online system that facilitates the connection between donors and recipients, thus enabling […]

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Multi-Category Classification Confidence for AdContextualization

This project studies Machine Learning algorithms for multi-category document classification. The purpose is to effectively predict user’s behavior based on the contextualization of the advertising and the associated document and therefore, to increase the click rate and the success of a dynamical advertising campaign. Due to the nature of the World Wide Web, the feature […]

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Evaluating grid modernization pathways, opportunities and emissions impacts

Across Canada, electricity is becoming a scarce resource as there are increasingly urgent calls to electrify fossil fuel loads. Furthermore, even if ample generation is present, the electrical grid will be unable to accommodate the increased demand. This research project will propose and investigate tangible solutions to optimize the power flow and usage within the […]

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Effective monitoring of honeybee health and pathogens

Honeybees are considered the world’s most devoted pollinators as they provide an essential ecosystem service that is vital to the maintenance of both wild plant communities and agricultural productivity. In Canada alone, the honeybee industry is worth over 4 billion dollars annually. Over the last years, beekeepers have been faced with major colony loss due […]

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A feasibility study of an adapted psychosocial intervention to improve the psychosocial well-being of asylum-seekers families in Montreal—A mixed methods approach

In 2017, Canada hosted over 13 thousand asylum seekers younger than 15 years. In Canada asylum seekers wait on average for two years for the determination of their refugee status. Moreover, asylum seekers are being vulnerablized not only by pre-migration trauma, but also because of the ongoing stressors of resettlement, including legal precarity, racism, discrimination, […]

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Lie Group Statistical Analysis of Human Movement

Statistical analysis of 3-dimensional motions of objects or humans is instrumental to establish how these motions differ, depending on various influences or parameters. When such motions involve no stretching or tearing, they may be described by the elements of the Special Euclidean Group. Statistical analysis of physical processes of this kind is complicated by the […]

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Opérationnalisation et déploiement d’un outil utilisant l’intelligence artificielle afin d’assister la prise de décision pédagogique

Videns Analytics a lancé en 2018 le projet Réussito. Ce dernier est un outil technologique qui aidera le personnel enseignant dans sa prise de décision. Pour ce faire, les commentaires de rétroaction des enseignants sont analysés, à l’aide d’intelligence artificielle, pour les classer dans plusieurs catégories ciblées par des chercheurs en éducation. Les algorithmes d’intelligence […]

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Années de vie ajustées par la qualité : analyse de cinq techniques d’élicitation

Parce qu’il est urgent au Québec, tout particulièrement pour l’Institut National d’Excellence en Santé et en Services Sociaux (INESSS) et la communauté des évaluateurs, de disposer d’un ensemble de valeurs d’utilités pour les états de santé de la population qui reflète ses préférences et soit basé sur les meilleures méthodes, nous proposons ce projet. Il […]

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Supporting Patients by Family Education in Psychotic Illness

Family caregivers are an essential component of care for young adults with severe mental illness including psychosis. While their involvement improves outcomes in multiple modalities, family caregivers are often overwhelmed with the care of their loved one. Currently, there are not enough resources for family caregivers of young people with severe mental illnesses. The study […]

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