Rapid detection of Salmonella in fresh produce using a paper-based microfluidic device based on recombinase polymerase amplification and lateral flow immunoassay

Salmonella is one of the most common causes of foodborne illnesses and 50% of its recent outbreaks are associated with fresh produce. To protect the safety of fresh produce, rapid, cost-effective and easy-to-use detection methods are necessary for government laboratories and food industry to frequently monitor Salmonella level. The gold standard bacteriological culturing and polymerase […]

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Collection and transcription of a corpus of aphasic speech for the development of a prototype of an intelligent communication aid application

Aphasia is an impairment of language caused by an injury to the brain. Word finding difficulties often accompany aphasia and can persist even after intensive speech therapy, having a negative impact on the person’s social participation and quality of life. Today’s communication aids can improve the ability to effectively communicate but findings from focus groups […]

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Towards quantum?encoded optical communications over existing fiber networks

Two fundamental pillars of communications/communications networks are trust and truth; in particular, we must ensure that the message (or data) that a sender wishes to transmit does indeed reach the intended receiver without being altered or eavesdropped by an unwanted party. This project focuses on demonstrating one concept of the quantum internet. The quantum internet […]

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Data-Centric Approaches for Vertical Agriculture

This project addresses one of the challenges confronting Vertical Agriculture (VA): the acquisition of added-value data, their analysis and their transmission to enable VA to provide a steady production while minimizing its environmental impacts, manage its yield and allow for a better understanding of its inter-related component. As a starting point, strawberry production is looked […]

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Artificial Intelligence in Mass Transit

Transportation systems are evolving towards intelligent transportation systems and ISR Transit is a leading provider of these systems providing solutions in fleet management. In these systems, one of the enabling technologies is wireless sensor networks in which sensors are used to obtain information about the fleets. For example, sensors are deployed on motor, brake modules, […]

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Separating Syntax and Semantics for Semantic Parsing

Study of language disorders, theoretical linguistics, and neuroscience suggests language competence involves two interacting systems, typically dubbed syntax and semantics. However few state-of-the-art deep-learning approaches for natural language processing explicitly model two different systems of representation. While achieving impressive performance on linguistic tasks, they commonly fail to generalize systematically. For example, unlike humans, learning a […]

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Investigating the role of the deubiquitylating enzyme USP25 in cell cycle control

Proteins are molecular machines that function inside cells to regulate processes such as cell growth, division and death. Protein function is modified by the attachment of regulatory proteins such as ubiquitin. Ubiquitin modification is important in targeting proteins for destruction in the cell during cell division. Dysregulation of protein destruction can lead to inappropriate cell […]

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Bayesian hierarchical modelling of exposure to accident benefit claims

The project will assess the financial risks to DGAG (Desjardins Groupe d’assurances generales) associated with payments of accident insurance claims. A large database is available on the losses incurred due to different aspects of insurance claims (medical costs, rehabilitation and attendant care, etc.), and this project will assist DGAG in developing exposure assessments for future […]

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The correlation and validation of functional markers and biomarkers for m/sTBIpopulations during simple and complex tasks – Year 1

This project aims to develop and validate markers for adaptive neurological performance therapies for persons with moderate-to severe traumatic brain injury (m/sTBI), with the purpose to further develop clinical paradigms for at-risk populations. In order to accomplish this, we have formed a collaboration between two Universities (Université Laval and McGill University) and two industrial partners […]

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Few-shot Generative Adversarial Networks

The most successful computer vision approaches are based on deep learning architectures, which typically require a large amount of labeled data. This can be impractical or expensive to acquire. Therefore, few-shot learning techniques were proposed to learn new concepts with just one or few annotated examples. However, unsupervised methods such as generative adversarial networks (GANs) […]

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Validation of the 12M inertial system against a marker based motion capture system

A new tendency, in the way of practicing and collecting data in the health related fields, has influenced a large development of non-invasive portable and wearable systems by companies specialized in biomechanical instrumentations. In human motion analysis, particularly in biomechanics, the use of inertial measurements units (IMUs) are frequently used in sports context such as […]

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Automatic Spinal Segmentation for MAR Analysis

In spine research, a great effort is made to understand the various spinal conditions. Optima Health Solutions, a leading organization in spinal care and research, has been performing MAR Analysis to measure the Mean Axis of Rotation of joints in the cervical spine, to help better understand, treat, and prevent chronic neck pain in patients. […]

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