The objective of this project is to develop an automated sonar classifier leveraging modern machine learning approaches in order to decrease the human expertise and cognitive workload required in ships or submarines and enable new applications such as unmanned underwater vehicles.

In Canada, approximately 1 in 4 adults are living with obesity. Obesity is cause by a complex interplay of genetic, behavioural, and environmental factors that can increase the risk of developing non-communicable diseases such as Type 2 diabetes mellitus, coronary heart disease, asthma, several cancers, and disability in adulthood. Restricting caloric consumption and increasing physical […]

Le procédé de production de l’aluminium dans les usines de Rio Tinto (RT) nécessite l’utilisation de circuits de refroidissement à l’eau pour, entre autres, la coulée des lingots et le refroidissement des stations électriques. Certaines bactéries potentiellement dangereuses comme les légionelles Sont susceptibles de se développer dans les réseaux de refroidissement et puisque la bactérie […]

Le traitement des signaux sous-marins est une tâche complexe et difficile dans le cadre des activités de renseignement et de guerre anti-sous-marine. Il demeure toujours difficile pour un opérateur de sonar de maitriser la complexité de l’analyse des signaux, essentiellement en raison du déluge d’informations diverses que ces systèmes fournissent. Le but de ce projet […]

Food security is a serious public health concern in the Guelph region, with prevalence of food insecurity surpassing the provincial and national averages. There is a need for community-based interventions to support individuals and families struggling with food insecurity and related poor nutrition and health. The proposed research aims to evaluate the impacts and acceptability […]

Proton exchange membrane fuel cell is in the early stage of commercialization and mass production lies in the cost reduction, increase performance and durability. All of these three challenges interrelated together and mainly related to the proper design for catalyst layer. The proposed research project aims at developing novel catalyst layers structure for dry/low relative […]

This research will investigate the chemical content in the furniture sold by Teknion. The presence of chemicals of concern and their associated potential human health risks will also be determined using guidelines approved by Health Canada and other jurisdictions. The findings from this research will enable Teknion to formulate evidence based guidelines for reducing their […]

The CareChanger product is an incontinence care system to be used for detecting and predicting voiding events of a care-receiver in an assisted care facility while providing care to one or more patients with incontinence issues. The fundamental aim of this project is to assist caregivers in providing more personalized, efficient, and cost-effective care specifically […]

L’industrie du jeu vidéo est une source inépuisable de données et notamment de données de performances [8]. L’origine provient de la nécessité pour une expérience de jeu ultime, d’avoir des performances similaires quelle que soit la plateforme utilisée. Cependant, la fragmentation du marché des plateformes de jeu est multiple. Entre les différentes consoles et l’ensemble […]

We are building a machine-learning algorithm to be able to understand the unstructured clinical notes better and to identify the most appropriate ICD codes for each visit. This algorithm will help healthcare systems standardize and extract insights from these notes to make them more useful for determining how sick patients are, what procedures are performed […]

Intrusion Detection System (IDS) is used to protect internal networks of companies and organizations against malicious activities and policy violations. These systems are typically under the full control of the local system administrator. In this project, we propose to use Homomorphic Encryption techniques to design and implement an Intrusion Detection System that can run as […]

This project is part of a longstanding continuous collaboration between Ultra and École de technologie supérieure that seeks to leverage the advancements of artificial intelligence (AI) to design a comprehensive framework for a robust ad-hoc underwater tactical wireless networks (AUTWNs). The network will be featured with privacy preserving mechanism to assist threat classification and self-organizing […]