In current collaborative software development environments, developers usually work in parallel. They often share changes with other developers or incorporate changes from them, with the help of version control systems (VCSs) such as Git and Subversion. The parallel collaboration process improves the development speed on the one hand, but on the other hand, leads to […]

Ce projet de recherche vise à développer une technologie de pointe qui permettra à une entreprise d’identifier rapidement les appels d’offres les plus intéressants pour elle en fonction des produits et services qu’elle offre. Elle lui permettra également de produire ses soumissions plus rapidement et efficacement. Plus précisément, l’objectif est de développer un logiciel capable […]

The explosion of popularity of deep learning owes a lot to the success of convolutional neural networks, widely used in diverse fields including computer vision and natural language processing. Recently, the group equivariant convolutional neural network (G-CNN) was introduced, where equivariance of symmetries inherent in the data set is built in the architecture of the […]

Today’s technological advancements are changing job requirements and skills expectations at a rapid rate. Businesses are consistently striving to investigate these trends and prepare for upcoming “disruptions.” In terms of job automation, there are many barriers that people experience when trying to access learning platforms such as online learning tools and micro learning sessions, as […]

Social media and other real-time messaging applications represent valuable sources of real-time information that remain untapped by many service operators. The project is aimed at developing methodology for detecting suspicious and/or abnormal real-time events from textual live data feeds, based on predictive and/or anomaly detection algorithms applied to time series and text features. TRT Canada […]

La réalisation des routines quotidiennes représente un défi pour de nombreux enfants présentant des troubles neurodéveloppementaux (TDAH, TSA). Plusieurs outils d’intervention traditionnels proposés pour soutenir les parents dans la réalisation des routines familiales impliquent un investissement de temps important pour les parents et ces stratégies ne sont pas efficaces pour tous les enfants. Les technologies […]

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 […]

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 […]

With the fast growing information available on the web, students are often greeted with countless learning materials. As such, personalization is an essential strategy for facilitating relevant learning materials to satisfy students’ needs. The scope of this project is to design a recommendation system by using a deep learning process for personalized learning based on […]

1. development of a simulation mode of the information Technology Sector 2. Understanding and modelling the simultaneous Competition and Cooperation (“co-opetition”) among firms where they jointly form interoperability standards by consensus under the ambit of their chosen Standards Setting Organizations (SSOs). 3. Conduct Analysis using an appropriate simulation method, which will be implemented using either […]

Reinforcement learning (RL) provides a unified framework for sequential decision-making problem, where a computer agent interacts with an environment while trying to learn optimal decisions to maximize its long-term reward. This makes RL a suitable choice for many real-world applications, including finance. RL applications in finance have created a lot of in-depth innovation such as […]

Aimed at maximizing the antenna signal of the satellite communication (Satcom) terminal in a satellite system, positioning and tracking methods based on AI are studied in this project. This proposal focuses on the issue of a satellite’s pointing and tracking for a stationary Satcom terminal. The detailed methods includes the following four functional components: 1) […]