In today’s technology-centred world, we have become increasingly reliant upon artificial intelligence (AI) devices and software. To aid with navigation, many people use SIRI or other digital voice assistants to help them navigate from point A to point B. While successful in helping humans arrive at intended locations, there is a downside. Recent studies have […]

i-Share is a project being conducted by the Université de Bordeaux. It is one of the largest mental health studies in the world, with the goal of collecting self-report information on mental health (e.g., stress, sleep, physical exercise, depression) from over 20,000 students from French universities. Currently, students have access to personal devices, such as […]

Modern Industrial Control Systems (ICS) are increasingly getting connected to the Internet to facilitate operations. To ensure safety on the internet, the ICS communications are being encrypted. This poses a challenge for the traditional Intrusion Detection Systems that used to rely on visible messages and control data communication for detecting the presence of known attacks […]

Major Depression Disorder (MDD) is a big problem in our society. About 8% of Canadians may suffer from depressions in their life. Major depression can cause suicide and take families apart. Canadian governments spend more than $51 billion a year in the mental health sector. When treatment with medications fail, mental healthcare professionals, use Electroconvulsive […]

The research program in this project aims at advancing the use of cellular communications for Internet-of-Things applications. The academic researchers and the partner organization have identified three work items that revolve around the self-estimation of cellular IoT devices (1) to improve energy and spectrum efficient transmission of short and intermittent data packets, (2) to enable […]

Theft or loss of sensitive data is a growing concern for companies who may suffer losses of consumer confidence, market valuation and intellectual property when large amounts of data are stolen. In this research project we will use an enhanced “screen and review” approach to combating exfiltration in a large data set of activity logs […]

Ce projet vise le développement de modèles d’apprentissage automatique capables de détecter des inefficiences dans le fonctionnement des systèmes informatiques critiques, de prédire les instabilités applicatives, de fournir des recommandations pour une utilisation optimale des ressources, et d’améliorer l’estimation des besoins de rehaussement des systèmes informatique du Mouvement Desjardins. Ce projet s’attaque à trois secteurs […]

The IPCC project aims to utilize the advancements in lasers, optics and semiconductor fabrication facilities to deliver a computing chip that uses laser instead on electrical signals to perform computations. The new paradigm of computation execution allows computations to be performed much faster at lower energy consumption which directly leads to lower costs for computations. […]

The oil and gas industry is in the top five largest sectors in the world in terms of dollar value, generating an estimated $3.32 trillion in revenue annually. It is estimated that 40-60% of workforce in the oil and gas industry will retire in the next five years, so preserving the knowledge stored in documents […]

This project/research is based on creating AI models that assist in determining blood glucose levels in individuals that have been diagnosed with Diabetes and classify changes in their risk-levels over a period of time. This research will be carried out by Ian Ho, student at Queen’s University pursuing his Bachelor’s in Applied Science – BASc, […]

Radio frequency identification (RFID) is a technology that uses radio frequency to identify and track tags attached to objects. This technology is employed in different industries such as asset tracking, supply chain management, ID badging, etc. Current solutions for object tracking have limited precision, suffer from low performance, and are expensive and complex. In this […]

Les fonds communs de placement et les régimes de retraite gèrent en grande partie l’épargne des ménages canadiens en vue de leur retraite. Pour ce faire, ils construisent des portefeuilles diversifiés dans un grand nombre d’actifs. Les méthodes numériques à leur disposition pour allouer optimalement les fonds qui leur sont confiés posent des défis majeurs […]