The Information Needs of People with Colorectal Cancer: a Knowledge Synthesis

The information needs of people with colorectal cancer are complex and poorly understood. This project seeks to undertake a narrative synthesis, a form of story telling that brings together evidence in a way that tells a convincing story of why something needs to be done or changed. It helps bridge the gap between research, policy, […]

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Development of an implantable oximeter for patients suffering from chronic respiratory insufficiency: design and validation of a prototype

Oxygen therapy is one of the most used treatments during hospitalization, especially in patients with cardiac or respiratory diseases. The latest recommendations emphasize the need to titrate oxygen as precisely as for any other drugs to avoid underdosage (hypoxemia) as overdoses (hyperoxia). Two million patients in the US receive oxygen therapy in the long term, […]

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Crowding and Dwell Time on Transit Vehicles: A Fine-Grained Analysis

This project will examine the relationship between transit vehicle crowding and the time it takes for passengers to board and exit the vehicle (dwell time). It will also record the total maximum number of passengers on a transit vehicle and compare them to the manufacturers’ theoretical maximum capacity. Data will be gathered through accurate counts […]

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Development and validation of a semi-automated in-situ soil sensor using Vis-NIR spectroscopy

Soil health and fertility has important long-term implications on farming practices. However, farmers and agronomists have difficulties to integrate soil assessment into farming decisions, mainly due to the tedious and long soil sampling process. This project aims at providing an innovative tool for agronomists and farmers to determine instantaneously and accurately several soil characteristics such […]

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Development of algorithms and methods for information fusion enabled decisionsupport

In every situation humans make observations and analyse the observed information, by combining and evaluating the relationships between the observation to understand the situation. Often these observations can be uncertain, redundant, from unknown sources, contradictory, and too many for a human to be able to analyse fast enough and correctly, leading to incorrect assessment of […]

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Position sensitive detector density well logging tool development

In well-logging industry, gamma-ray density logging is an indispensable method to determine formations’ lithology and porosity. This research proposal under the support of MITACS and Rimpac Advanced Technology Development Ltd. aims at developing a high-resolution density well logging tool which is expected to achieve higher precision and better vertical resolution of formation density measurement. This […]

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Full characterization of Drug-Drug interactions using deep learning methods

Better understanding Drug-Drug interactions (DDIs) is crucial for planning therapies and drugs co-administration. While, considerable efforts are spent in labor-intensive in vivo experiments and time-consuming clinical trials, understanding the pharmacological implications and adverse side-effects for some drug combinations is challenging. The majority of interactions remains undetected until therapies are prescribed to patients. We propose to […]

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Assessment of deep learning for analyzing radar signals in maritime environment

The proposed internships aim at investigating the relevance of deep learning (DL) techniques for target detection in radar data processing. More specifically, we are looking to demonstrate the feasibility of DL techniques to deal with unusual types of data (i.e., radar data) in situations where an well performing processing with classical techniques is a challenge […]

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Evaluation of low-lignin alfalfa in mixtures with grasses

Forage nutritive value is a key component of profitable dairy production with forage fiber concentration and digestibility being critical, as high quality forages can reduce requirements for high-cost concentrated feeds. One approach and new technology developed to increase forage quality has been the release of high digestibility/lowlignin alfalfa cultivars, as alfalfa is the main forage […]

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Developing biomarker identification tools for neurodegenerative diseases

Neurodegenerative diseases have caused massive economic burden on the healthcare system as well as reduced patient and caregiver’s quality of life. Identifying biomarkers for early clinical diagnosis, tracking of disease progression, and evaluation of treatment therapies is critical. However, developing such tools remains a significant challenge. The goal of this project is to manage and […]

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